From c779262d8924daa4ac2c127db2a699c818c3c709 Mon Sep 17 00:00:00 2001 From: llzmb <46303940+llzmb@users.noreply.github.com> Date: Sat, 7 Aug 2021 15:23:50 +0200 Subject: Edit remote monitoring and visualization how-to Changes: - Fix typos, rephrase some sentences, and sort lists alphabetically. - Restructure content. --- docs/rpc_statsd.md | 232 ++++++++++++++++++++++++++++------------------------- 1 file changed, 122 insertions(+), 110 deletions(-) (limited to 'docs') diff --git a/docs/rpc_statsd.md b/docs/rpc_statsd.md index fb97aa09..e7144c1d 100644 --- a/docs/rpc_statsd.md +++ b/docs/rpc_statsd.md @@ -1,143 +1,155 @@ -# Remote monitoring with StatsD +# Remote monitoring and metrics visualization -StatsD allows you to receive and aggregate metrics from a wide range of applications and retransmit them to the backend of your choice. -This enables you to create nice and readable dashboards containing all the information you need on your fuzzer instances. -No need to write your own statistics parsing system, deploy and maintain it to all your instances, sync with your graph rendering system... +With StatsD, Prometheus, and Grafana you can set up a tool chain for remote monitoring and visualization of AFL++ metrics. All tools are free and open source. -The available metrics are : +This enables you to create nice and readable dashboards containing all the information you need on your fuzzer instances. There is no need to write your own statistics parsing system, deploy and maintain it to all your instances, and sync with your graph rendering system. + +Compared to the default integrated UI of AFL++, this can help you to visualize trends and the fuzzing state over time. You might be able to see when the fuzzing process has reached a state of no progress and visualize what are the "best strategies" for your targets (according to your own criteria). You can do so without logging into each instance manually. + +![example visualization with Grafana](resources/statsd-grafana.png) + +This is an example visualization with Grafana. The dashboard can be imported with [this JSON template](resources/grafana-afl++.json). + +## Afl++ metrics and StatsD + +StatsD allows you to receive and aggregate metrics from a wide range of applications and retransmit them to a backend of your choice. + +From AFL++, StatsD can receive the following metrics: +- cur_path - cycle_done - cycles_wo_finds +- edges_found - execs_done - execs_per_sec -- paths_total +- havoc_expansion +- max_depth - paths_favored - paths_found - paths_imported -- max_depth -- cur_path +- paths_total - pending_favs - pending_total -- variable_paths +- slowest_exec_ms +- total_crashes - unique_crashes - unique_hangs -- total_crashes -- slowest_exec_ms -- edges_found - var_byte_count -- havoc_expansion +- variable_paths -Compared to the default integrated UI, these metrics give you the opportunity to visualize trends and fuzzing state over time. -By doing so, you might be able to see when the fuzzing process has reached a state of no progress, visualize what are the "best strategies" -(according to your own criteria) for your targets, etc. And doing so without requiring to log into each instance manually. +Depending on your StatsD server, you will be able to monitor, trigger alerts, or perform actions based on these metrics (for example: alert on slow exec/s for a new build, threshold of crashes, time since last crash > X, and so on). -An example visualisation may look like the following: -![StatsD Grafana](visualization/statsd-grafana.png) +## Setting environment variables in AFL++ -*Notes: The exact same dashboard can be imported with [this JSON template](statsd/grafana-afl++.json).* +1. To enable the StatsD metrics collection on your fuzzer instances, set the environment variable `AFL_STATSD=1`. By default, AFL++ will send the metrics over UDP to 127.0.0.1:8125. -## How to use +2. To enable tags for each metric based on their format (banner and afl_version), set the environment variable `AFL_STATSD_TAGS_FLAVOR`. By default, no tags will be added to the metrics. -To enable the StatsD reporting on your fuzzer instances, you need to set the environment variable `AFL_STATSD=1`. + The available values are the following: + - `dogstatsd` + - `influxdb` + - `librato` + - `signalfx` + + For more information on environment variables, see [docs/env_variables.md](docs/env_variables.md). -Setting `AFL_STATSD_TAGS_FLAVOR` to the provider of your choice will assign tags / labels to each metric based on their format. -The possible values are `dogstatsd`, `librato`, `signalfx` or `influxdb`. -For more information on these env vars, check out `docs/env_variables.md`. + Note: When using multiple fuzzer instances with StatsD it is *strongly* recommended to set up `AFL_STATSD_TAGS_FLAVOR` to match your StatsD server. This will allow you to see individual fuzzer performance, detect bad ones, and see the progress of each strategy. -The simplest way of using this feature is to use any metric provider and change the host/port of your StatsD daemon, -with `AFL_STATSD_HOST` and `AFL_STATSD_PORT`, if required (defaults are `localhost` and port `8125`). -To get started, here are some instructions with free and open source tools. -The following setup is based on Prometheus, statsd_exporter and Grafana. -Grafana here is not mandatory, but gives you some nice graphs and features. +3. Optional: To set the host and port of your StatsD daemon, set `AFL_STATSD_HOST` and `AFL_STATSD_PORT`. The default values are `localhost` and `8125`. -Depending on your setup and infrastructure, you may want to run these applications not on your fuzzer instances. -Only one instance of these 3 application is required for all your fuzzers. +## Installing and setting up StatsD, Prometheus, and Grafana -To simplify everything, we will use Docker and docker-compose. -Make sure you have them both installed. On most common Linux distributions, it's as simple as: +The easiest way to install and set up the infrastructure is with Docker and Docker Compose. -```sh -curl -fsSL https://get.docker.com -o get-docker.sh -sh get-docker.sh -``` +Depending on your fuzzing setup and infrastructure, you may not want to run these applications on your fuzzer instances. This setup may be modified before use in a production environment; for example, adding passwords, creating volumes for storage, tweaking the metrics gathering to get host metrics (CPU, RAM, and so on). -Once that's done, we can create the infrastructure. -Create and move into the directory of your choice. This will store all the configurations files required. - -First, create a `docker-compose.yml` containing the following: -```yml -version: '3' - -networks: - statsd-net: - driver: bridge - -services: - prometheus: - image: prom/prometheus - container_name: prometheus - volumes: - - ./prometheus.yml:/prometheus.yml - command: - - '--config.file=/prometheus.yml' - restart: unless-stopped - ports: - - "9090:9090" - networks: - - statsd-net - - statsd_exporter: - image: prom/statsd-exporter - container_name: statsd_exporter - volumes: - - ./statsd_mapping.yml:/statsd_mapping.yml - command: - - "--statsd.mapping-config=/statsd_mapping.yml" - ports: - - "9102:9102/tcp" - - "8125:9125/udp" - networks: - - statsd-net - - grafana: - image: grafana/grafana - container_name: grafana - restart: unless-stopped - ports: - - "3000:3000" - networks: - - statsd-net -``` +For all your fuzzers, only one instance of StatsD, Prometheus, and Grafana is required. -Then `prometheus.yml` -```yml -global: - scrape_interval: 15s - evaluation_interval: 15s +You can create and move the infrastructure files into a directory of your choice. The directory will store all the required configuration files. -scrape_configs: - - job_name: 'fuzzing_metrics' - static_configs: - - targets: ['statsd_exporter:9102'] -``` +To install and set up StatsD, Prometheus, and Grafana: -And finally `statsd_mapping.yml` -```yml -mappings: -- match: "fuzzing.*" - name: "fuzzing" - labels: - type: "$1" -``` +1. Install Docker and Docker Compose: -Run `docker-compose up -d`. + ```sh + curl -fsSL https://get.docker.com -o get-docker.sh + sh get-docker.sh + ``` -Everything should now be setup, you are now able to run your fuzzers with +2. Create a `docker-compose.yml` containing the following: + ```yml + version: '3' + + networks: + statsd-net: + driver: bridge + + services: + prometheus: + image: prom/prometheus + container_name: prometheus + volumes: + - ./prometheus.yml:/prometheus.yml + command: + - '--config.file=/prometheus.yml' + restart: unless-stopped + ports: + - "9090:9090" + networks: + - statsd-net + + statsd_exporter: + image: prom/statsd-exporter + container_name: statsd_exporter + volumes: + - ./statsd_mapping.yml:/statsd_mapping.yml + command: + - "--statsd.mapping-config=/statsd_mapping.yml" + ports: + - "9102:9102/tcp" + - "8125:9125/udp" + networks: + - statsd-net + + grafana: + image: grafana/grafana + container_name: grafana + restart: unless-stopped + ports: + - "3000:3000" + networks: + - statsd-net + ``` + +3. Create a `prometheus.yml` containing the following: + + ```yml + global: + scrape_interval: 15s + evaluation_interval: 15s + + scrape_configs: + - job_name: 'fuzzing_metrics' + static_configs: + - targets: ['statsd_exporter:9102'] + ``` + +4. Create a `statsd_mapping.yml` containing the following: + ```yml + mappings: + - match: "fuzzing.*" + name: "fuzzing" + labels: + type: "$1" + ``` + +5. Run `docker-compose up -d`. + +## Running AFL++ with StatsD + +To run your fuzzing instances: ``` -AFL_STATSD_TAGS_FLAVOR=dogstatsd AFL_STATSD=1 afl-fuzz -M test-fuzzer-1 -i i -o o ./bin/my-application @@ -AFL_STATSD_TAGS_FLAVOR=dogstatsd AFL_STATSD=1 afl-fuzz -S test-fuzzer-2 -i i -o o ./bin/my-application @@ +AFL_STATSD_TAGS_FLAVOR=dogstatsd AFL_STATSD=1 afl-fuzz -M test-fuzzer-1 -i i -o o [./bin/my-application] @@ +AFL_STATSD_TAGS_FLAVOR=dogstatsd AFL_STATSD=1 afl-fuzz -S test-fuzzer-2 -i i -o o [./bin/my-application] @@ ... -``` - -This setup may be modified before use in a production environment. Depending on your needs: adding passwords, creating volumes for storage, -tweaking the metrics gathering to get host metrics (CPU, RAM ...). +``` \ No newline at end of file -- cgit 1.4.1 From 95b794744b4edd6e32eefc97998ec6aa041c5275 Mon Sep 17 00:00:00 2001 From: llzmb <46303940+llzmb@users.noreply.github.com> Date: Thu, 12 Aug 2021 23:06:34 +0200 Subject: Edit README.md Changes: - Move advanced content to docs/. - Add links. - Fix links. - Restructure content. --- README.md | 1406 ++--------------------------------- docs/afl-fuzz_approach.md | 37 + docs/behaviour_changes.md | 54 ++ docs/beyond_crashes.md | 23 + docs/branches.md | 10 + docs/building_installing.md | 78 ++ docs/choosing_testcases.md | 19 + docs/ci_fuzzing.md | 29 + docs/cite.md | 23 + docs/common_sense_risks.md | 36 + docs/features.md | 46 ++ docs/fuzzing.md | 623 ++++++++++++++++ docs/fuzzing_binary-only_targets.md | 82 ++ docs/guided_fuzzing.md | 25 + docs/interpreting_output.md | 71 ++ docs/known_limitations.md | 36 + docs/links_examples_writeups.md | 26 + docs/links_tools.md | 33 + docs/triaging_crashes.md | 46 ++ 19 files changed, 1352 insertions(+), 1351 deletions(-) create mode 100644 docs/afl-fuzz_approach.md create mode 100644 docs/behaviour_changes.md create mode 100644 docs/beyond_crashes.md create mode 100644 docs/branches.md create mode 100644 docs/building_installing.md create mode 100644 docs/choosing_testcases.md create mode 100644 docs/ci_fuzzing.md create mode 100644 docs/cite.md create mode 100644 docs/common_sense_risks.md create mode 100644 docs/features.md create mode 100644 docs/fuzzing.md create mode 100644 docs/fuzzing_binary-only_targets.md create mode 100644 docs/guided_fuzzing.md create mode 100644 docs/interpreting_output.md create mode 100644 docs/known_limitations.md create mode 100644 docs/links_examples_writeups.md create mode 100644 docs/links_tools.md create mode 100644 docs/triaging_crashes.md (limited to 'docs') diff --git a/README.md b/README.md index 19d3a866..711ee2d8 100644 --- a/README.md +++ b/README.md @@ -1,1358 +1,85 @@ # American Fuzzy Lop plus plus (AFL++) - AFL++ Logo +AFL++ logo - Release Version: [3.14c](https://github.com/AFLplusplus/AFLplusplus/releases) +Release version: [3.14c](https://github.com/AFLplusplus/AFLplusplus/releases) - Github Version: 3.15a +GitHub version: 3.15a - Repository: [https://github.com/AFLplusplus/AFLplusplus](https://github.com/AFLplusplus/AFLplusplus) +Repository: [https://github.com/AFLplusplus/AFLplusplus](https://github.com/AFLplusplus/AFLplusplus) - AFL++ is maintained by: +AFL++ is maintained by: - * Marc "van Hauser" Heuse , - * Heiko "hexcoder-" Eißfeldt , - * Andrea Fioraldi and - * Dominik Maier . +* Marc "van Hauser" Heuse , +* Heiko "hexcoder-" Eißfeldt , +* Andrea Fioraldi and +* Dominik Maier . - Originally developed by Michał "lcamtuf" Zalewski. +Originally developed by Michał "lcamtuf" Zalewski. - AFL++ is a superior fork to Google's AFL - more speed, more and better - mutations, more and better instrumentation, custom module support, etc. +AFL++ is a superior fork to Google's AFL - more speed, more and better mutations, more and better instrumentation, custom module support, etc. - If you want to use AFL++ for your academic work, check the [papers page](https://aflplus.plus/papers/) - on the website. To cite our work, look at the [Cite](#cite) section. - For comparisons use the fuzzbench `aflplusplus` setup, or use `afl-clang-fast` - with `AFL_LLVM_CMPLOG=1`. +If you want to use AFL++ for your academic work, check the [papers page](https://aflplus.plus/papers/) on the website. +To cite our work, look at [Cite.md](docs/cite.md). +For comparisons, use the fuzzbench `aflplusplus` setup, or use `afl-clang-fast` +with `AFL_LLVM_CMPLOG=1`. -## Major behaviour changes in AFL++ 3.00 onwards: - -With AFL++ 3.13-3.20 we introduce frida_mode (-O) to have an alternative for -binary-only fuzzing. It is slower than Qemu mode but works on MacOS, Android, -iOS etc. - -With AFL++ 3.15 we introduced the following changes from previous behaviours: - * Also -M main mode does not do deterministic fuzzing by default anymore - * afl-cmin and afl-showmap -Ci now descent into subdirectories like - afl-fuzz -i does (but note that afl-cmin.bash does not) - -With AFL++ 3.14 we introduced the following changes from previous behaviours: - * afl-fuzz: deterministic fuzzing it not a default for -M main anymore - * afl-cmin/afl-showmap -i now descends into subdirectories (afl-cmin.bash - however does not) - -With AFL++ 3.10 we introduced the following changes from previous behaviours: - * The '+' feature of the '-t' option now means to auto-calculate the timeout - with the value given being the maximum timeout. The original meaning of - "skipping timeouts instead of abort" is now inherent to the -t option. - -With AFL++ 3.00 we introduced changes that break some previous AFL and AFL++ -behaviours and defaults: - * There are no llvm_mode and gcc_plugin subdirectories anymore and there is - only one compiler: afl-cc. All previous compilers now symlink to this one. - All instrumentation source code is now in the `instrumentation/` folder. - * The gcc_plugin was replaced with a new version submitted by AdaCore that - supports more features. Thank you! - * qemu_mode got upgraded to QEMU 5.1, but to be able to build this a current - ninja build tool version and python3 setuptools are required. - qemu_mode also got new options like snapshotting, instrumenting specific - shared libraries, etc. Additionally QEMU 5.1 supports more CPU targets so - this is really worth it. - * When instrumenting targets, afl-cc will not supersede optimizations anymore - if any were given. This allows to fuzz targets build regularly like those - for debug or release versions. - * afl-fuzz: - * if neither -M or -S is specified, `-S default` is assumed, so more - fuzzers can easily be added later - * `-i` input directory option now descends into subdirectories. It also - does not fatal on crashes and too large files, instead it skips them - and uses them for splicing mutations - * -m none is now default, set memory limits (in MB) with e.g. -m 250 - * deterministic fuzzing is now disabled by default (unless using -M) and - can be enabled with -D - * a caching of testcases can now be performed and can be modified by - editing config.h for TESTCASE_CACHE or by specifying the env variable - `AFL_TESTCACHE_SIZE` (in MB). Good values are between 50-500 (default: 50). - * -M mains do not perform trimming - * examples/ got renamed to utils/ - * libtokencap/ libdislocator/ and qdbi_mode/ were moved to utils/ - * afl-cmin/afl-cmin.bash now search first in PATH and last in AFL_PATH - - -## Contents - - 1. [Features](#important-features-of-afl) - 2. [How to compile and install AFL++](#building-and-installing-afl) - 3. [How to fuzz a target](#how-to-fuzz-with-afl) - 4. [Fuzzing binary-only targets](#fuzzing-binary-only-targets) - 5. [Good examples and writeups of AFL++ usages](#good-examples-and-writeups) - 6. [CI Fuzzing](#ci-fuzzing) - 7. [Branches](#branches) - 8. [Want to help?](#help-wanted) - 9. [Detailed help and description of AFL++](#challenges-of-guided-fuzzing) - -## Important features of AFL++ - - AFL++ supports llvm from 3.8 up to version 12, very fast binary fuzzing with QEMU 5.1 - with laf-intel and redqueen, frida mode, unicorn mode, gcc plugin, full *BSD, - Mac OS, Solaris and Android support and much, much, much more. - - | Feature/Instrumentation | afl-gcc | llvm | gcc_plugin | frida_mode | qemu_mode |unicorn_mode | - | -------------------------|:-------:|:---------:|:----------:|:----------------:|:----------------:|:----------------:| - | Threadsafe counters | | x(3) | | | | | - | NeverZero | x86[_64]| x(1) | x | x | x | x | - | Persistent Mode | | x | x | x86[_64]/arm64 | x86[_64]/arm[64] | x | - | LAF-Intel / CompCov | | x | | | x86[_64]/arm[64] | x86[_64]/arm[64] | - | CmpLog | | x | | x86[_64]/arm64 | x86[_64]/arm[64] | | - | Selective Instrumentation| | x | x | x | x | | - | Non-Colliding Coverage | | x(4) | | | (x)(5) | | - | Ngram prev_loc Coverage | | x(6) | | | | | - | Context Coverage | | x(6) | | | | | - | Auto Dictionary | | x(7) | | | | | - | Snapshot LKM Support | | (x)(8) | (x)(8) | | (x)(5) | | - | Shared Memory Testcases | | x | x | x86[_64]/arm64 | x | x | - - 1. default for LLVM >= 9.0, env var for older version due an efficiency bug in previous llvm versions - 2. GCC creates non-performant code, hence it is disabled in gcc_plugin - 3. with `AFL_LLVM_THREADSAFE_INST`, disables NeverZero - 4. with pcguard mode and LTO mode for LLVM 11 and newer - 5. upcoming, development in the branch - 6. not compatible with LTO instrumentation and needs at least LLVM v4.1 - 7. automatic in LTO mode with LLVM 11 and newer, an extra pass for all LLVM versions that write to a file to use with afl-fuzz' `-x` - 8. the snapshot LKM is currently unmaintained due to too many kernel changes coming too fast :-( - - Among others, the following features and patches have been integrated: - - * NeverZero patch for afl-gcc, instrumentation, qemu_mode and unicorn_mode which prevents a wrapping map value to zero, increases coverage - * Persistent mode, deferred forkserver and in-memory fuzzing for qemu_mode - * Unicorn mode which allows fuzzing of binaries from completely different platforms (integration provided by domenukk) - * The new CmpLog instrumentation for LLVM and QEMU inspired by [Redqueen](https://www.syssec.ruhr-uni-bochum.de/media/emma/veroeffentlichungen/2018/12/17/NDSS19-Redqueen.pdf) - * Win32 PE binary-only fuzzing with QEMU and Wine - * AFLfast's power schedules by Marcel Böhme: [https://github.com/mboehme/aflfast](https://github.com/mboehme/aflfast) - * The MOpt mutator: [https://github.com/puppet-meteor/MOpt-AFL](https://github.com/puppet-meteor/MOpt-AFL) - * LLVM mode Ngram coverage by Adrian Herrera [https://github.com/adrianherrera/afl-ngram-pass](https://github.com/adrianherrera/afl-ngram-pass) - * LAF-Intel/CompCov support for instrumentation, qemu_mode and unicorn_mode (with enhanced capabilities) - * Radamsa and honggfuzz mutators (as custom mutators). - * QBDI mode to fuzz android native libraries via Quarkslab's [QBDI](https://github.com/QBDI/QBDI) framework - * Frida and ptrace mode to fuzz binary-only libraries, etc. - - So all in all this is the best-of AFL that is out there :-) - - For new versions and additional information, check out: - [https://github.com/AFLplusplus/AFLplusplus](https://github.com/AFLplusplus/AFLplusplus) - - To compare notes with other users or get notified about major new features, - send a mail to . - - See [docs/QuickStartGuide.md](docs/QuickStartGuide.md) if you don't have time to - read this file - however this is not recommended! - -## Branches - - The following branches exist: - - * [stable/trunk](https://github.com/AFLplusplus/AFLplusplus/) : stable state of AFL++ - it is synced from dev from time to - time when we are satisfied with its stability - * [dev](https://github.com/AFLplusplus/AFLplusplus/tree/dev) : development state of AFL++ - bleeding edge and you might catch a - checkout which does not compile or has a bug. *We only accept PRs in dev!!* - * [release](https://github.com/AFLplusplus/AFLplusplus/tree/release) : the latest release - * (any other) : experimental branches to work on specific features or testing - new functionality or changes. - - For releases, please see the [Releases](https://github.com/AFLplusplus/AFLplusplus/releases) tab. +You are free to copy, modify, and distribute AFL++ with attribution under the terms of the Apache-2.0 License. See the [LICENSE](LICENSE) for details. ## Help wanted -We have several ideas we would like to see in AFL++ to make it even better. -However, we already work on so many things that we do not have the time for -all the big ideas. +We have several [to dos](TODO.md) and [ideas](docs/ideas.md) we would like to see in AFL++ to make it even better. +However, we already work on so many things that we do not have the time for all the big ideas. -This can be your way to support and contribute to AFL++ - extend it to do -something cool. +This can be your way to support and contribute to AFL++ - extend it to do something cool. -We have an idea list in [docs/ideas.md](docs/ideas.md). +For everyone who wants to contribute (and send pull requests), please read our [contributing guidelines](CONTRIBUTING.md) before your submit. -For everyone who wants to contribute (and send pull requests) please read -[CONTRIBUTING.md](CONTRIBUTING.md) before your submit. +Thank you to [everyone who contributed](#special-thanks). ## Building and installing AFL++ -An easy way to install AFL++ with everything compiled is available via docker: -You can use the [Dockerfile](Dockerfile) (which has gcc-10 and clang-11 - -hence afl-clang-lto is available!) or just pull directly from the docker hub: -```shell -docker pull aflplusplus/aflplusplus -docker run -ti -v /location/of/your/target:/src aflplusplus/aflplusplus -``` -This image is automatically generated when a push to the stable repo happens. -You will find your target source code in /src in the container. - -If you want to build AFL++ yourself you have many options. -The easiest choice is to build and install everything: - -```shell -sudo apt-get update -sudo apt-get install -y build-essential python3-dev automake git flex bison libglib2.0-dev libpixman-1-dev python3-setuptools -# try to install llvm 11 and install the distro default if that fails -sudo apt-get install -y lld-11 llvm-11 llvm-11-dev clang-11 || sudo apt-get install -y lld llvm llvm-dev clang -sudo apt-get install -y gcc-$(gcc --version|head -n1|sed 's/.* //'|sed 's/\..*//')-plugin-dev libstdc++-$(gcc --version|head -n1|sed 's/.* //'|sed 's/\..*//')-dev -git clone https://github.com/AFLplusplus/AFLplusplus -cd AFLplusplus -make distrib -sudo make install -``` -It is recommended to install the newest available gcc, clang and llvm-dev -possible in your distribution! - -Note that "make distrib" also builds instrumentation, qemu_mode, unicorn_mode and -more. If you just want plain AFL++ then do "make all", however compiling and -using at least instrumentation is highly recommended for much better results - -hence in this case - -```shell -make source-only -``` -is what you should choose. - -These build targets exist: - -* all: just the main AFL++ binaries -* binary-only: everything for binary-only fuzzing: qemu_mode, unicorn_mode, libdislocator, libtokencap -* source-only: everything for source code fuzzing: instrumentation, libdislocator, libtokencap -* distrib: everything (for both binary-only and source code fuzzing) -* man: creates simple man pages from the help option of the programs -* install: installs everything you have compiled with the build options above -* clean: cleans everything compiled, not downloads (unless not on a checkout) -* deepclean: cleans everything including downloads -* code-format: format the code, do this before you commit and send a PR please! -* tests: runs test cases to ensure that all features are still working as they should -* unit: perform unit tests (based on cmocka) -* help: shows these build options - -[Unless you are on Mac OS X](https://developer.apple.com/library/archive/qa/qa1118/_index.html) you can also build statically linked versions of the -AFL++ binaries by passing the STATIC=1 argument to make: - -```shell -make STATIC=1 -``` - -These build options exist: - -* STATIC - compile AFL++ static -* ASAN_BUILD - compiles with memory sanitizer for debug purposes -* DEBUG - no optimization, -ggdb3, all warnings and -Werror -* PROFILING - compile with profiling information (gprof) -* INTROSPECTION - compile afl-fuzz with mutation introspection -* NO_PYTHON - disable python support -* NO_SPLICING - disables splicing mutation in afl-fuzz, not recommended for normal fuzzing -* AFL_NO_X86 - if compiling on non-intel/amd platforms -* LLVM_CONFIG - if your distro doesn't use the standard name for llvm-config (e.g. Debian) - -e.g.: `make ASAN_BUILD=1` - -## Good examples and writeups - -Here are some good writeups to show how to effectively use AFL++: - - * [https://aflplus.plus/docs/tutorials/libxml2_tutorial/](https://aflplus.plus/docs/tutorials/libxml2_tutorial/) - * [https://bananamafia.dev/post/gb-fuzz/](https://bananamafia.dev/post/gb-fuzz/) - * [https://securitylab.github.com/research/fuzzing-challenges-solutions-1](https://securitylab.github.com/research/fuzzing-challenges-solutions-1) - * [https://securitylab.github.com/research/fuzzing-software-2](https://securitylab.github.com/research/fuzzing-software-2) - * [https://securitylab.github.com/research/fuzzing-sockets-FTP](https://securitylab.github.com/research/fuzzing-sockets-FTP) - * [https://securitylab.github.com/research/fuzzing-sockets-FreeRDP](https://securitylab.github.com/research/fuzzing-sockets-FreeRDP) - * [https://securitylab.github.com/research/fuzzing-apache-1](https://securitylab.github.com/research/fuzzing-apache-1) - -If you do not want to follow a tutorial but rather try an exercise type of -training then we can highly recommend the following: - * [https://github.com/antonio-morales/Fuzzing101](https://github.com/antonio-morales/Fuzzing101) - -If you are interested in fuzzing structured data (where you define what the -structure is), these links have you covered: - * Superion for AFL++: [https://github.com/adrian-rt/superion-mutator](https://github.com/adrian-rt/superion-mutator) - * libprotobuf for AFL++: [https://github.com/P1umer/AFLplusplus-protobuf-mutator](https://github.com/P1umer/AFLplusplus-protobuf-mutator) - * libprotobuf raw: [https://github.com/bruce30262/libprotobuf-mutator_fuzzing_learning/tree/master/4_libprotobuf_aflpp_custom_mutator](https://github.com/bruce30262/libprotobuf-mutator_fuzzing_learning/tree/master/4_libprotobuf_aflpp_custom_mutator) - * libprotobuf for old AFL++ API: [https://github.com/thebabush/afl-libprotobuf-mutator](https://github.com/thebabush/afl-libprotobuf-mutator) - -If you find other good ones, please send them to us :-) - -## How to fuzz with AFL++ - -The following describes how to fuzz with a target if source code is available. -If you have a binary-only target please skip to [#Instrumenting binary-only apps](#Instrumenting binary-only apps) - -Fuzzing source code is a three-step process. - -1. Compile the target with a special compiler that prepares the target to be - fuzzed efficiently. This step is called "instrumenting a target". -2. Prepare the fuzzing by selecting and optimizing the input corpus for the - target. -3. Perform the fuzzing of the target by randomly mutating input and assessing - if a generated input was processed in a new path in the target binary. - -### 1. Instrumenting that target - -#### a) Selecting the best AFL++ compiler for instrumenting the target - -AFL++ comes with a central compiler `afl-cc` that incorporates various different -kinds of compiler targets and and instrumentation options. -The following evaluation flow will help you to select the best possible. - -It is highly recommended to have the newest llvm version possible installed, -anything below 9 is not recommended. - -``` -+--------------------------------+ -| clang/clang++ 11+ is available | --> use LTO mode (afl-clang-lto/afl-clang-lto++) -+--------------------------------+ see [instrumentation/README.lto.md](instrumentation/README.lto.md) - | - | if not, or if the target fails with LTO afl-clang-lto/++ - | - v -+---------------------------------+ -| clang/clang++ 3.8+ is available | --> use LLVM mode (afl-clang-fast/afl-clang-fast++) -+---------------------------------+ see [instrumentation/README.llvm.md](instrumentation/README.llvm.md) - | - | if not, or if the target fails with LLVM afl-clang-fast/++ - | - v - +--------------------------------+ - | gcc 5+ is available | -> use GCC_PLUGIN mode (afl-gcc-fast/afl-g++-fast) - +--------------------------------+ see [instrumentation/README.gcc_plugin.md](instrumentation/README.gcc_plugin.md) and - [instrumentation/README.instrument_list.md](instrumentation/README.instrument_list.md) - | - | if not, or if you do not have a gcc with plugin support - | - v - use GCC mode (afl-gcc/afl-g++) (or afl-clang/afl-clang++ for clang) -``` - -Clickable README links for the chosen compiler: - - * [LTO mode - afl-clang-lto](instrumentation/README.lto.md) - * [LLVM mode - afl-clang-fast](instrumentation/README.llvm.md) - * [GCC_PLUGIN mode - afl-gcc-fast](instrumentation/README.gcc_plugin.md) - * GCC/CLANG modes (afl-gcc/afl-clang) have no README as they have no own features - -You can select the mode for the afl-cc compiler by: - 1. use a symlink to afl-cc: afl-gcc, afl-g++, afl-clang, afl-clang++, - afl-clang-fast, afl-clang-fast++, afl-clang-lto, afl-clang-lto++, - afl-gcc-fast, afl-g++-fast (recommended!) - 2. using the environment variable AFL_CC_COMPILER with MODE - 3. passing --afl-MODE command line options to the compiler via CFLAGS/CXXFLAGS/CPPFLAGS - -MODE can be one of: LTO (afl-clang-lto*), LLVM (afl-clang-fast*), GCC_PLUGIN -(afl-g*-fast) or GCC (afl-gcc/afl-g++) or CLANG(afl-clang/afl-clang++). - -Because no AFL specific command-line options are accepted (beside the ---afl-MODE command), the compile-time tools make fairly broad use of environment -variables, which can be listed with `afl-cc -hh` or by reading [docs/env_variables.md](docs/env_variables.md). - -#### b) Selecting instrumentation options - -The following options are available when you instrument with LTO mode (afl-clang-fast/afl-clang-lto): - - * Splitting integer, string, float and switch comparisons so AFL++ can easier - solve these. This is an important option if you do not have a very good - and large input corpus. This technique is called laf-intel or COMPCOV. - To use this set the following environment variable before compiling the - target: `export AFL_LLVM_LAF_ALL=1` - You can read more about this in [instrumentation/README.laf-intel.md](instrumentation/README.laf-intel.md) - * A different technique (and usually a better one than laf-intel) is to - instrument the target so that any compare values in the target are sent to - AFL++ which then tries to put these values into the fuzzing data at different - locations. This technique is very fast and good - if the target does not - transform input data before comparison. Therefore this technique is called - `input to state` or `redqueen`. - If you want to use this technique, then you have to compile the target - twice, once specifically with/for this mode, and pass this binary to afl-fuzz - via the `-c` parameter. - Note that you can compile also just a cmplog binary and use that for both - however there will be a performance penality. - You can read more about this in [instrumentation/README.cmplog.md](instrumentation/README.cmplog.md) - -If you use LTO, LLVM or GCC_PLUGIN mode (afl-clang-fast/afl-clang-lto/afl-gcc-fast) -you have the option to selectively only instrument parts of the target that you -are interested in: - - * To instrument only those parts of the target that you are interested in - create a file with all the filenames of the source code that should be - instrumented. - For afl-clang-lto and afl-gcc-fast - or afl-clang-fast if a mode other than - DEFAULT/PCGUARD is used or you have llvm > 10.0.0 - just put one - filename or function per line (no directory information necessary for - filenames9, and either set `export AFL_LLVM_ALLOWLIST=allowlist.txt` **or** - `export AFL_LLVM_DENYLIST=denylist.txt` - depending on if you want per - default to instrument unless noted (DENYLIST) or not perform instrumentation - unless requested (ALLOWLIST). - **NOTE:** During optimization functions might be inlined and then would not match! - See [instrumentation/README.instrument_list.md](instrumentation/README.instrument_list.md) - -There are many more options and modes available however these are most of the -time less effective. See: - * [instrumentation/README.ctx.md](instrumentation/README.ctx.md) - * [instrumentation/README.ngram.md](instrumentation/README.ngram.md) - -AFL++ performs "never zero" counting in its bitmap. You can read more about this -here: - * [instrumentation/README.neverzero.md](instrumentation/README.neverzero.md) - -#### c) Sanitizers - -It is possible to use sanitizers when instrumenting targets for fuzzing, -which allows you to find bugs that would not necessarily result in a crash. - -Note that sanitizers have a huge impact on CPU (= less executions per second) -and RAM usage. Also you should only run one afl-fuzz instance per sanitizer type. -This is enough because a use-after-free bug will be picked up, e.g. by -ASAN (address sanitizer) anyway when syncing to other fuzzing instances, -so not all fuzzing instances need to be instrumented with ASAN. - -The following sanitizers have built-in support in AFL++: - * ASAN = Address SANitizer, finds memory corruption vulnerabilities like - use-after-free, NULL pointer dereference, buffer overruns, etc. - Enabled with `export AFL_USE_ASAN=1` before compiling. - * MSAN = Memory SANitizer, finds read access to uninitialized memory, eg. - a local variable that is defined and read before it is even set. - Enabled with `export AFL_USE_MSAN=1` before compiling. - * UBSAN = Undefined Behaviour SANitizer, finds instances where - by the - C and C++ standards - undefined behaviour happens, e.g. adding two - signed integers together where the result is larger than a signed integer - can hold. - Enabled with `export AFL_USE_UBSAN=1` before compiling. - * CFISAN = Control Flow Integrity SANitizer, finds instances where the - control flow is found to be illegal. Originally this was rather to - prevent return oriented programming exploit chains from functioning, - in fuzzing this is mostly reduced to detecting type confusion - vulnerabilities - which is however one of the most important and dangerous - C++ memory corruption classes! - Enabled with `export AFL_USE_CFISAN=1` before compiling. - * LSAN = Leak SANitizer, finds memory leaks in a program. This is not really - a security issue, but for developers this can be very valuable. - Note that unlike the other sanitizers above this needs - `__AFL_LEAK_CHECK();` added to all areas of the target source code where you - find a leak check necessary! - Enabled with `export AFL_USE_LSAN=1` before compiling. - -It is possible to further modify the behaviour of the sanitizers at run-time -by setting `ASAN_OPTIONS=...`, `LSAN_OPTIONS` etc. - the available parameters -can be looked up in the sanitizer documentation of llvm/clang. -afl-fuzz however requires some specific parameters important for fuzzing to be -set. If you want to set your own, it might bail and report what it is missing. - -Note that some sanitizers cannot be used together, e.g. ASAN and MSAN, and -others often cannot work together because of target weirdness, e.g. ASAN and -CFISAN. You might need to experiment which sanitizers you can combine in a -target (which means more instances can be run without a sanitized target, -which is more effective). - -#### d) Modify the target - -If the target has features that make fuzzing more difficult, e.g. -checksums, HMAC, etc. then modify the source code so that checks for these -values are removed. -This can even be done safely for source code used in operational products -by eliminating these checks within these AFL specific blocks: - -``` -#ifdef FUZZING_BUILD_MODE_UNSAFE_FOR_PRODUCTION - // say that the checksum or HMAC was fine - or whatever is required - // to eliminate the need for the fuzzer to guess the right checksum - return 0; -#endif -``` - -All AFL++ compilers will set this preprocessor definition automatically. - -#### e) Instrument the target - -In this step the target source code is compiled so that it can be fuzzed. - -Basically you have to tell the target build system that the selected AFL++ -compiler is used. Also - if possible - you should always configure the -build system such that the target is compiled statically and not dynamically. -How to do this is described below. - -The #1 rule when instrumenting a target is: avoid instrumenting shared -libraries at all cost. You would need to set LD_LIBRARY_PATH to point to -these, you could accidently type "make install" and install them system wide - -so don't. Really don't. -**Always compile libraries you want to have instrumented as static and link -these to the target program!** - -Then build the target. (Usually with `make`) - -**NOTES** - -1. sometimes configure and build systems are fickle and do not like - stderr output (and think this means a test failure) - which is something - AFL++ likes to do to show statistics. It is recommended to disable AFL++ - instrumentation reporting via `export AFL_QUIET=1`. - -2. sometimes configure and build systems error on warnings - these should be - disabled (e.g. `--disable-werror` for some configure scripts). - -3. in case the configure/build system complains about AFL++'s compiler and - aborts then set `export AFL_NOOPT=1` which will then just behave like the - real compiler. This option has to be unset again before building the target! - -##### configure - -For `configure` build systems this is usually done by: -`CC=afl-clang-fast CXX=afl-clang-fast++ ./configure --disable-shared` - -Note that if you are using the (better) afl-clang-lto compiler you also have to -set AR to llvm-ar[-VERSION] and RANLIB to llvm-ranlib[-VERSION] - as is -described in [instrumentation/README.lto.md](instrumentation/README.lto.md). - -##### cmake - -For `cmake` build systems this is usually done by: -`mkdir build; cd build; cmake -DCMAKE_C_COMPILER=afl-cc -DCMAKE_CXX_COMPILER=afl-c++ ..` - -Note that if you are using the (better) afl-clang-lto compiler you also have to -set AR to llvm-ar[-VERSION] and RANLIB to llvm-ranlib[-VERSION] - as is -described in [instrumentation/README.lto.md](instrumentation/README.lto.md). - -##### meson - -For meson you have to set the AFL++ compiler with the very first command! -`CC=afl-cc CXX=afl-c++ meson` - -##### other build systems or if configure/cmake didn't work - -Sometimes cmake and configure do not pick up the AFL++ compiler, or the -ranlib/ar that is needed - because this was just not foreseen by the developer -of the target. Or they have non-standard options. Figure out if there is a -non-standard way to set this, otherwise set up the build normally and edit the -generated build environment afterwards manually to point it to the right compiler -(and/or ranlib and ar). - -#### f) Better instrumentation - -If you just fuzz a target program as-is you are wasting a great opportunity for -much more fuzzing speed. - -This variant requires the usage of afl-clang-lto, afl-clang-fast or afl-gcc-fast. - -It is the so-called `persistent mode`, which is much, much faster but -requires that you code a source file that is specifically calling the target -functions that you want to fuzz, plus a few specific AFL++ functions around -it. See [instrumentation/README.persistent_mode.md](instrumentation/README.persistent_mode.md) for details. - -Basically if you do not fuzz a target in persistent mode then you are just -doing it for a hobby and not professionally :-). - -#### g) libfuzzer fuzzer harnesses with LLVMFuzzerTestOneInput() - -libfuzzer `LLVMFuzzerTestOneInput()` harnesses are the defacto standard -for fuzzing, and they can be used with AFL++ (and honggfuzz) as well! -Compiling them is as simple as: -``` -afl-clang-fast++ -fsanitize=fuzzer -o harness harness.cpp targetlib.a -``` -You can even use advanced libfuzzer features like `FuzzedDataProvider`, -`LLVMFuzzerMutate()` etc. and they will work! - -The generated binary is fuzzed with afl-fuzz like any other fuzz target. - -Bonus: the target is already optimized for fuzzing due to persistent mode and -shared-memory testcases and hence gives you the fastest speed possible. - -For more information see [utils/aflpp_driver/README.md](utils/aflpp_driver/README.md) - -### 2. Preparing the fuzzing campaign - -As you fuzz the target with mutated input, having as diverse inputs for the -target as possible improves the efficiency a lot. - -#### a) Collect inputs - -Try to gather valid inputs for the target from wherever you can. E.g. if it is -the PNG picture format try to find as many png files as possible, e.g. from -reported bugs, test suites, random downloads from the internet, unit test -case data - from all kind of PNG software. - -If the input format is not known, you can also modify a target program to write -normal data it receives and processes to a file and use these. - -#### b) Making the input corpus unique - -Use the AFL++ tool `afl-cmin` to remove inputs from the corpus that do not -produce a new path in the target. - -Put all files from step a) into one directory, e.g. INPUTS. - -If the target program is to be called by fuzzing as `bin/target -d INPUTFILE` -the run afl-cmin like this: -`afl-cmin -i INPUTS -o INPUTS_UNIQUE -- bin/target -d @@` -Note that the INPUTFILE argument that the target program would read from has to be set as `@@`. - -If the target reads from stdin instead, just omit the `@@` as this is the -default. - -This step is highly recommended! - -#### c) Minimizing all corpus files - -The shorter the input files that still traverse the same path -within the target, the better the fuzzing will be. This minimization -is done with `afl-tmin` however it is a long process as this has to -be done for every file: - -``` -mkdir input -cd INPUTS_UNIQUE -for i in *; do - afl-tmin -i "$i" -o "../input/$i" -- bin/target -d @@ -done -``` - -This step can also be parallelized, e.g. with `parallel`. -Note that this step is rather optional though. - -#### Done! - -The INPUTS_UNIQUE/ directory from step b) - or even better the directory input/ -if you minimized the corpus in step c) - is the resulting input corpus directory -to be used in fuzzing! :-) - -### 3. Fuzzing the target - -In this final step we fuzz the target. -There are not that many important options to run the target - unless you want -to use many CPU cores/threads for the fuzzing, which will make the fuzzing much -more useful. - -If you just use one CPU for fuzzing, then you are fuzzing just for fun and not -seriously :-) - -#### a) Running afl-fuzz - -Before you do even a test run of afl-fuzz execute `sudo afl-system-config` (on -the host if you execute afl-fuzz in a docker container). This reconfigures the -system for optimal speed - which afl-fuzz checks and bails otherwise. -Set `export AFL_SKIP_CPUFREQ=1` for afl-fuzz to skip this check if you cannot -run afl-system-config with root privileges on the host for whatever reason. - -Note there is also `sudo afl-persistent-config` which sets additional permanent -boot options for a much better fuzzing performance. - -Note that both scripts improve your fuzzing performance but also decrease your -system protection against attacks! So set strong firewall rules and only -expose SSH as a network service if you use these (which is highly recommended). - -If you have an input corpus from step 2 then specify this directory with the `-i` -option. Otherwise create a new directory and create a file with any content -as test data in there. - -If you do not want anything special, the defaults are already usually best, -hence all you need is to specify the seed input directory with the result of -step [2a. Collect inputs](#a-collect-inputs): -`afl-fuzz -i input -o output -- bin/target -d @@` -Note that the directory specified with -o will be created if it does not exist. - -It can be valuable to run afl-fuzz in a screen or tmux shell so you can log off, -or afl-fuzz is not aborted if you are running it in a remote ssh session where -the connection fails in between. -Only do that though once you have verified that your fuzzing setup works! -Simply run it like `screen -dmS afl-main -- afl-fuzz -M main-$HOSTNAME -i ...` -and it will start away in a screen session. To enter this session simply type -`screen -r afl-main`. You see - it makes sense to name the screen session -same as the afl-fuzz -M/-S naming :-) -For more information on screen or tmux please check their documentation. - -If you need to stop and re-start the fuzzing, use the same command line options -(or even change them by selecting a different power schedule or another -mutation mode!) and switch the input directory with a dash (`-`): -`afl-fuzz -i - -o output -- bin/target -d @@` - -Memory limits are not enforced by afl-fuzz by default and the system may run -out of memory. You can decrease the memory with the `-m` option, the value is -in MB. If this is too small for the target, you can usually see this by -afl-fuzz bailing with the message that it could not connect to the forkserver. - -Adding a dictionary is helpful. See the directory [dictionaries/](dictionaries/) if -something is already included for your data format, and tell afl-fuzz to load -that dictionary by adding `-x dictionaries/FORMAT.dict`. With afl-clang-lto -you have an autodictionary generation for which you need to do nothing except -to use afl-clang-lto as the compiler. You also have the option to generate -a dictionary yourself, see [utils/libtokencap/README.md](utils/libtokencap/README.md). - -afl-fuzz has a variety of options that help to workaround target quirks like -specific locations for the input file (`-f`), performing deterministic -fuzzing (`-D`) and many more. Check out `afl-fuzz -h`. - -We highly recommend that you set a memory limit for running the target with `-m` -which defines the maximum memory in MB. This prevents a potential -out-of-memory problem for your system plus helps you detect missing `malloc()` -failure handling in the target. -Play around with various -m values until you find one that safely works for all -your input seeds (if you have good ones and then double or quadrouple that. - -By default afl-fuzz never stops fuzzing. To terminate AFL++ simply press Control-C -or send a signal SIGINT. You can limit the number of executions or approximate runtime -in seconds with options also. - -When you start afl-fuzz you will see a user interface that shows what the status -is: -![docs/resources/screenshot.png](docs/resources/screenshot.png) - -All labels are explained in [docs/status_screen.md](docs/status_screen.md). - -#### b) Using multiple cores - -If you want to seriously fuzz then use as many cores/threads as possible to -fuzz your target. - -On the same machine - due to the design of how AFL++ works - there is a maximum -number of CPU cores/threads that are useful, use more and the overall performance -degrades instead. This value depends on the target, and the limit is between 32 -and 64 cores per machine. - -If you have the RAM, it is highly recommended run the instances with a caching -of the testcases. Depending on the average testcase size (and those found -during fuzzing) and their number, a value between 50-500MB is recommended. -You can set the cache size (in MB) by setting the environment variable `AFL_TESTCACHE_SIZE`. - -There should be one main fuzzer (`-M main-$HOSTNAME` option) and as many secondary -fuzzers (eg `-S variant1`) as you have cores that you use. -Every -M/-S entry needs a unique name (that can be whatever), however the same --o output directory location has to be used for all instances. - -For every secondary fuzzer there should be a variation, e.g.: - * one should fuzz the target that was compiled differently: with sanitizers - activated (`export AFL_USE_ASAN=1 ; export AFL_USE_UBSAN=1 ; - export AFL_USE_CFISAN=1`) - * one or two should fuzz the target with CMPLOG/redqueen (see above), at - least one cmplog instance should follow transformations (`-l AT`) - * one to three fuzzers should fuzz a target compiled with laf-intel/COMPCOV - (see above). Important note: If you run more than one laf-intel/COMPCOV - fuzzer and you want them to share their intermediate results, the main - fuzzer (`-M`) must be one of the them! (Although this is not really - recommended.) - -All other secondaries should be used like this: - * A quarter to a third with the MOpt mutator enabled: `-L 0` - * run with a different power schedule, recommended are: - `fast (default), explore, coe, lin, quad, exploit and rare` - which you can set with e.g. `-p explore` - * a few instances should use the old queue cycling with `-Z` +To install AFL++ with everything compiled, use Docker: +* You can either use the [Dockerfile](Dockerfile) (which has gcc-10 and clang-11 - hence afl-clang-lto is available!) +* Or just pull directly from the Docker Hub: -Also it is recommended to set `export AFL_IMPORT_FIRST=1` to load testcases -from other fuzzers in the campaign first. + ```shell + docker pull aflplusplus/aflplusplus + docker run -ti -v /location/of/your/target:/src aflplusplus/aflplusplus + ``` -If you have a large corpus, a corpus from a previous run or are fuzzing in -a CI, then also set `export AFL_CMPLOG_ONLY_NEW=1` and `export AFL_FAST_CAL=1`. + This image is automatically generated when a push to the stable repo happens. + You will find your target source code in `/src` in the container. -You can also use different fuzzers. -If you are using AFL spinoffs or AFL conforming fuzzers, then just use the -same -o directory and give it a unique `-S` name. -Examples are: - * [Fuzzolic](https://github.com/season-lab/fuzzolic) - * [symcc](https://github.com/eurecom-s/symcc/) - * [Eclipser](https://github.com/SoftSec-KAIST/Eclipser/) - * [AFLsmart](https://github.com/aflsmart/aflsmart) - * [FairFuzz](https://github.com/carolemieux/afl-rb) - * [Neuzz](https://github.com/Dongdongshe/neuzz) - * [Angora](https://github.com/AngoraFuzzer/Angora) +To build AFL++ yourself, continue at [building_installing.md](building_installing.md). -A long list can be found at [https://github.com/Microsvuln/Awesome-AFL](https://github.com/Microsvuln/Awesome-AFL) +## Quickstart: Fuzzing with AFL++ -However you can also sync AFL++ with honggfuzz, libfuzzer with `-entropic=1`, etc. -Just show the main fuzzer (-M) with the `-F` option where the queue/work -directory of a different fuzzer is, e.g. `-F /src/target/honggfuzz`. -Using honggfuzz (with `-n 1` or `-n 2`) and libfuzzer in parallel is highly -recommended! +*THIS SECTION IS WIP* -#### c) Using multiple machines for fuzzing +*NOTE: Before you start, please read about the [common sense risks of fuzzing](docs/common_sense_risks.md).* -Maybe you have more than one machine you want to fuzz the same target on. -Simply start the `afl-fuzz` (and perhaps libfuzzer, honggfuzz, ...) -orchestra as you like, just ensure that your have one and only one `-M` -instance per server, and that its name is unique, hence the recommendation -for `-M main-$HOSTNAME`. +This is a quickstart for fuzzing targets with the source code available. -Now there are three strategies on how you can sync between the servers: - * never: sounds weird, but this makes every server an island and has the - chance the each follow different paths into the target. You can make - this even more interesting by even giving different seeds to each server. - * regularly (~4h): this ensures that all fuzzing campaigns on the servers - "see" the same thing. It is like fuzzing on a huge server. - * in intervals of 1/10th of the overall expected runtime of the fuzzing you - sync. This tries a bit to combine both. have some individuality of the - paths each campaign on a server explores, on the other hand if one - gets stuck where another found progress this is handed over making it - unstuck. +To read about the process in detail, see [docs/fuzzing.md](docs/fuzzing.md). -The syncing process itself is very simple. -As the `-M main-$HOSTNAME` instance syncs to all `-S` secondaries as well -as to other fuzzers, you have to copy only this directory to the other -machines. +For fuzzing binary-only targets, see [docs/fuzzing_binary-only_targets.md](docs/fuzzing_binary-only_targets.md). -Lets say all servers have the `-o out` directory in /target/foo/out, and -you created a file `servers.txt` which contains the hostnames of all -participating servers, plus you have an ssh key deployed to all of them, -then run: -```bash -for FROM in `cat servers.txt`; do - for TO in `cat servers.txt`; do - rsync -rlpogtz --rsh=ssh $FROM:/target/foo/out/main-$FROM $TO:target/foo/out/ - done -done -``` -You can run this manually, per cron job - as you need it. -There is a more complex and configurable script in `utils/distributed_fuzzing`. - -#### d) The status of the fuzz campaign - -AFL++ comes with the `afl-whatsup` script to show the status of the fuzzing -campaign. - -Just supply the directory that afl-fuzz is given with the -o option and -you will see a detailed status of every fuzzer in that campaign plus -a summary. - -To have only the summary use the `-s` switch e.g.: `afl-whatsup -s out/` - -If you have multiple servers then use the command after a sync, or you have -to execute this script per server. - -#### e) Stopping fuzzing, restarting fuzzing, adding new seeds - -To stop an afl-fuzz run, simply press Control-C. - -To restart an afl-fuzz run, just reuse the same command line but replace the -`-i directory` with `-i -` or set `AFL_AUTORESUME=1`. - -If you want to add new seeds to a fuzzing campaign you can run a temporary -fuzzing instance, e.g. when your main fuzzer is using `-o out` and the new -seeds are in `newseeds/` directory: -``` -AFL_BENCH_JUST_ONE=1 AFL_FAST_CAL=1 afl-fuzz -i newseeds -o out -S newseeds -- ./target -``` - -#### f) Checking the coverage of the fuzzing - -The `paths found` value is a bad indicator for checking how good the coverage is. - -A better indicator - if you use default llvm instrumentation with at least -version 9 - is to use `afl-showmap` with the collect coverage option `-C` on -the output directory: -``` -$ afl-showmap -C -i out -o /dev/null -- ./target -params @@ -... -[*] Using SHARED MEMORY FUZZING feature. -[*] Target map size: 9960 -[+] Processed 7849 input files. -[+] Captured 4331 tuples (highest value 255, total values 67130596) in '/dev/nul -l'. -[+] A coverage of 4331 edges were achieved out of 9960 existing (43.48%) with 7849 input files. -``` -It is even better to check out the exact lines of code that have been reached - -and which have not been found so far. - -An "easy" helper script for this is [https://github.com/vanhauser-thc/afl-cov](https://github.com/vanhauser-thc/afl-cov), -just follow the README of that separate project. - -If you see that an important area or a feature has not been covered so far then -try to find an input that is able to reach that and start a new secondary in -that fuzzing campaign with that seed as input, let it run for a few minutes, -then terminate it. The main node will pick it up and make it available to the -other secondary nodes over time. Set `export AFL_NO_AFFINITY=1` or -`export AFL_TRY_AFFINITY=1` if you have no free core. - -Note that in nearly all cases you can never reach full coverage. A lot of -functionality is usually dependent on exclusive options that would need individual -fuzzing campaigns each with one of these options set. E.g. if you fuzz a library to -convert image formats and your target is the png to tiff API then you will not -touch any of the other library APIs and features. - -#### g) How long to fuzz a target? - -This is a difficult question. -Basically if no new path is found for a long time (e.g. for a day or a week) -then you can expect that your fuzzing won't be fruitful anymore. -However often this just means that you should switch out secondaries for -others, e.g. custom mutator modules, sync to very different fuzzers, etc. - -Keep the queue/ directory (for future fuzzings of the same or similar targets) -and use them to seed other good fuzzers like libfuzzer with the -entropic -switch or honggfuzz. - -#### h) Improve the speed! - - * Use [persistent mode](instrumentation/README.persistent_mode.md) (x2-x20 speed increase) - * If you do not use shmem persistent mode, use `AFL_TMPDIR` to point the input file on a tempfs location, see [docs/env_variables.md](docs/env_variables.md) - * Linux: Improve kernel performance: modify `/etc/default/grub`, set `GRUB_CMDLINE_LINUX_DEFAULT="ibpb=off ibrs=off kpti=off l1tf=off mds=off mitigations=off no_stf_barrier noibpb noibrs nopcid nopti nospec_store_bypass_disable nospectre_v1 nospectre_v2 pcid=off pti=off spec_store_bypass_disable=off spectre_v2=off stf_barrier=off"`; then `update-grub` and `reboot` (warning: makes the system more insecure) - you can also just run `sudo afl-persistent-config` - * Linux: Running on an `ext2` filesystem with `noatime` mount option will be a bit faster than on any other journaling filesystem - * Use your cores! [3.b) Using multiple cores/threads](#b-using-multiple-coresthreads) - * Run `sudo afl-system-config` before starting the first afl-fuzz instance after a reboot - -### The End - -Check out the [docs/FAQ](docs/FAQ.md) if it maybe answers your question (that -you might not even have known you had ;-) ). - -This is basically all you need to know to professionally run fuzzing campaigns. -If you want to know more, the rest of this README and the tons of texts in -[docs/](docs/) will have you covered. - -Note that there are also a lot of tools out there that help fuzzing with AFL++ -(some might be deprecated or unsupported): - -Speeding up fuzzing: - * [libfiowrapper](https://github.com/marekzmyslowski/libfiowrapper) - if the function you want to fuzz requires loading a file, this allows using the shared memory testcase feature :-) - recommended. - -Minimization of test cases: - * [afl-pytmin](https://github.com/ilsani/afl-pytmin) - a wrapper for afl-tmin that tries to speed up the process of minimization of a single test case by using many CPU cores. - * [afl-ddmin-mod](https://github.com/MarkusTeufelberger/afl-ddmin-mod) - a variation of afl-tmin based on the ddmin algorithm. - * [halfempty](https://github.com/googleprojectzero/halfempty) - is a fast utility for minimizing test cases by Tavis Ormandy based on parallelization. - -Distributed execution: - * [disfuzz-afl](https://github.com/MartijnB/disfuzz-afl) - distributed fuzzing for AFL. - * [AFLDFF](https://github.com/quantumvm/AFLDFF) - AFL distributed fuzzing framework. - * [afl-launch](https://github.com/bnagy/afl-launch) - a tool for the execution of many AFL instances. - * [afl-mothership](https://github.com/afl-mothership/afl-mothership) - management and execution of many synchronized AFL fuzzers on AWS cloud. - * [afl-in-the-cloud](https://github.com/abhisek/afl-in-the-cloud) - another script for running AFL in AWS. - -Deployment, management, monitoring, reporting - * [afl-utils](https://gitlab.com/rc0r/afl-utils) - a set of utilities for automatic processing/analysis of crashes and reducing the number of test cases. - * [afl-other-arch](https://github.com/shellphish/afl-other-arch) - is a set of patches and scripts for easily adding support for various non-x86 architectures for AFL. - * [afl-trivia](https://github.com/bnagy/afl-trivia) - a few small scripts to simplify the management of AFL. - * [afl-monitor](https://github.com/reflare/afl-monitor) - a script for monitoring AFL. - * [afl-manager](https://github.com/zx1340/afl-manager) - a web server on Python for managing multi-afl. - * [afl-remote](https://github.com/block8437/afl-remote) - a web server for the remote management of AFL instances. - * [afl-extras](https://github.com/fekir/afl-extras) - shell scripts to parallelize afl-tmin, startup, and data collection. - -Crash processing - * [afl-crash-analyzer](https://github.com/floyd-fuh/afl-crash-analyzer) - another crash analyzer for AFL. - * [fuzzer-utils](https://github.com/ThePatrickStar/fuzzer-utils) - a set of scripts for the analysis of results. - * [atriage](https://github.com/Ayrx/atriage) - a simple triage tool. - * [afl-kit](https://github.com/kcwu/afl-kit) - afl-cmin on Python. - * [AFLize](https://github.com/d33tah/aflize) - a tool that automatically generates builds of debian packages suitable for AFL. - * [afl-fid](https://github.com/FoRTE-Research/afl-fid) - a set of tools for working with input data. - -## CI Fuzzing - -Some notes on CI Fuzzing - this fuzzing is different to normal fuzzing -campaigns as these are much shorter runnings. - -1. Always: - * LTO has a much longer compile time which is diametrical to short fuzzing - - hence use afl-clang-fast instead. - * If you compile with CMPLOG then you can save fuzzing time and reuse that - compiled target for both the -c option and the main fuzz target. - This will impact the speed by ~15% though. - * `AFL_FAST_CAL` - Enable fast calibration, this halfs the time the saturated - corpus needs to be loaded. - * `AFL_CMPLOG_ONLY_NEW` - only perform cmplog on new found paths, not the - initial corpus as this very likely has been done for them already. - * Keep the generated corpus, use afl-cmin and reuse it every time! - -2. Additionally randomize the AFL++ compilation options, e.g. - * 40% for `AFL_LLVM_CMPLOG` - * 10% for `AFL_LLVM_LAF_ALL` - -3. Also randomize the afl-fuzz runtime options, e.g. - * 65% for `AFL_DISABLE_TRIM` - * 50% use a dictionary generated by `AFL_LLVM_DICT2FILE` - * 40% use MOpt (`-L 0`) - * 40% for `AFL_EXPAND_HAVOC_NOW` - * 20% for old queue processing (`-Z`) - * for CMPLOG targets, 60% for `-l 2`, 40% for `-l 3` - -4. Do *not* run any `-M` modes, just running `-S` modes is better for CI fuzzing. - `-M` enables old queue handling etc. which is good for a fuzzing campaign but - not good for short CI runs. - -How this can look like can e.g. be seen at AFL++'s setup in Google's [oss-fuzz](https://github.com/google/oss-fuzz/blob/master/infra/base-images/base-builder/compile_afl) -and [clusterfuzz](https://github.com/google/clusterfuzz/blob/master/src/python/bot/fuzzers/afl/launcher.py). - -## Fuzzing binary-only targets - -When source code is *NOT* available, AFL++ offers various support for fast, -on-the-fly instrumentation of black-box binaries. - -If you do not have to use Unicorn the following setup is recommended to use -qemu_mode: - * run 1 afl-fuzz -Q instance with CMPLOG (`-c 0` + `AFL_COMPCOV_LEVEL=2`) - * run 1 afl-fuzz -Q instance with QASAN (`AFL_USE_QASAN=1`) - * run 1 afl-fuzz -Q instance with LAF (`AFL_PRELOAD=libcmpcov.so` + `AFL_COMPCOV_LEVEL=2`) -Alternatively you can use frida_mode, just switch `-Q` with `-O` and remove the -LAF instance. - -Then run as many instances as you have cores left with either -Q mode or - better - -use a binary rewriter like afl-dyninst, retrowrite, zafl, etc. - -For Qemu and Frida mode, check out the persistent mode, it gives a huge speed -improvement if it is possible to use. - -### QEMU - -For linux programs and its libraries this is accomplished with a version of -QEMU running in the lesser-known "user space emulation" mode. -QEMU is a project separate from AFL, but you can conveniently build the -feature by doing: -```shell -cd qemu_mode -./build_qemu_support.sh -``` -For additional instructions and caveats, see [qemu_mode/README.md](qemu_mode/README.md). -If possible you should use the persistent mode, see [qemu_mode/README.persistent.md](qemu_mode/README.persistent.md). -The mode is approximately 2-5x slower than compile-time instrumentation, and is -less conducive to parallelization. - -If [afl-dyninst](https://github.com/vanhauser-thc/afl-dyninst) works for -your binary, then you can use afl-fuzz normally and it will have twice -the speed compared to qemu_mode (but slower than qemu persistent mode). -Note that several other binary rewriters exist, all with their advantages and -caveats. - -### Frida - -Frida mode is sometimes faster and sometimes slower than Qemu mode. -It is also newer, lacks COMPCOV, but supports MacOS. - -```shell -cd frida_mode -make -``` -For additional instructions and caveats, see [frida_mode/README.md](frida_mode/README.md). -If possible you should use the persistent mode, see [qemu_frida/README.persistent.md](qemu_frida/README.persistent.md). -The mode is approximately 2-5x slower than compile-time instrumentation, and is -less conducive to parallelization. - -### Unicorn - -For non-Linux binaries you can use AFL++'s unicorn mode which can emulate -anything you want - for the price of speed and user written scripts. -See [unicorn_mode](unicorn_mode/README.md). - -It can be easily built by: -```shell -cd unicorn_mode -./build_unicorn_support.sh -``` - -### Shared libraries - -If the goal is to fuzz a dynamic library then there are two options available. -For both you need to write a small harness that loads and calls the library. -Faster is the frida solution: [utils/afl_frida/README.md](utils/afl_frida/README.md) - -Another, less precise and slower option is using ptrace with debugger interrupt -instrumentation: [utils/afl_untracer/README.md](utils/afl_untracer/README.md). - -### More - -A more comprehensive description of these and other options can be found in -[docs/binaryonly_fuzzing.md](docs/binaryonly_fuzzing.md). - -## Challenges of guided fuzzing - -Fuzzing is one of the most powerful and proven strategies for identifying -security issues in real-world software; it is responsible for the vast -majority of remote code execution and privilege escalation bugs found to date -in security-critical software. - -Unfortunately, fuzzing is also relatively shallow; blind, random mutations -make it very unlikely to reach certain code paths in the tested code, leaving -some vulnerabilities firmly outside the reach of this technique. - -There have been numerous attempts to solve this problem. One of the early -approaches - pioneered by Tavis Ormandy - is corpus distillation. The method -relies on coverage signals to select a subset of interesting seeds from a -massive, high-quality corpus of candidate files, and then fuzz them by -traditional means. The approach works exceptionally well but requires such -a corpus to be readily available. In addition, block coverage measurements -provide only a very simplistic understanding of the program state and are less -useful for guiding the fuzzing effort in the long haul. - -Other, more sophisticated research has focused on techniques such as program -flow analysis ("concolic execution"), symbolic execution, or static analysis. -All these methods are extremely promising in experimental settings, but tend -to suffer from reliability and performance problems in practical uses - and -currently do not offer a viable alternative to "dumb" fuzzing techniques. - -## Background: The afl-fuzz approach - -American Fuzzy Lop is a brute-force fuzzer coupled with an exceedingly simple -but rock-solid instrumentation-guided genetic algorithm. It uses a modified -form of edge coverage to effortlessly pick up subtle, local-scale changes to -program control flow. - -Simplifying a bit, the overall algorithm can be summed up as: - - 1) Load user-supplied initial test cases into the queue, - - 2) Take the next input file from the queue, - - 3) Attempt to trim the test case to the smallest size that doesn't alter - the measured behavior of the program, - - 4) Repeatedly mutate the file using a balanced and well-researched variety - of traditional fuzzing strategies, - - 5) If any of the generated mutations resulted in a new state transition - recorded by the instrumentation, add mutated output as a new entry in the - queue. - - 6) Go to 2. - -The discovered test cases are also periodically culled to eliminate ones that -have been obsoleted by newer, higher-coverage finds; and undergo several other -instrumentation-driven effort minimization steps. - -As a side result of the fuzzing process, the tool creates a small, -self-contained corpus of interesting test cases. These are extremely useful -for seeding other, labor- or resource-intensive testing regimes - for example, -for stress-testing browsers, office applications, graphics suites, or -closed-source tools. - -The fuzzer is thoroughly tested to deliver out-of-the-box performance far -superior to blind fuzzing or coverage-only tools. - -## Help: Choosing initial test cases - -To operate correctly, the fuzzer requires one or more starting file that -contains a good example of the input data normally expected by the targeted -application. There are two basic rules: - - - Keep the files small. Under 1 kB is ideal, although not strictly necessary. - For a discussion of why size matters, see [perf_tips.md](docs/perf_tips.md). - - - Use multiple test cases only if they are functionally different from - each other. There is no point in using fifty different vacation photos - to fuzz an image library. - -You can find many good examples of starting files in the testcases/ subdirectory -that comes with this tool. - -PS. If a large corpus of data is available for screening, you may want to use -the afl-cmin utility to identify a subset of functionally distinct files that -exercise different code paths in the target binary. - -## Help: Interpreting output - -See the [docs/status_screen.md](docs/status_screen.md) file for information on -how to interpret the displayed stats and monitor the health of the process. Be -sure to consult this file especially if any UI elements are highlighted in red. - -The fuzzing process will continue until you press Ctrl-C. At a minimum, you want -to allow the fuzzer to complete one queue cycle, which may take anywhere from a -couple of hours to a week or so. - -There are three subdirectories created within the output directory and updated -in real-time: - - - queue/ - test cases for every distinctive execution path, plus all the - starting files given by the user. This is the synthesized corpus - mentioned in section 2. - - Before using this corpus for any other purposes, you can shrink - it to a smaller size using the afl-cmin tool. The tool will find - a smaller subset of files offering equivalent edge coverage. - - - crashes/ - unique test cases that cause the tested program to receive a - fatal signal (e.g., SIGSEGV, SIGILL, SIGABRT). The entries are - grouped by the received signal. - - - hangs/ - unique test cases that cause the tested program to time out. The - default time limit before something is classified as a hang is - the larger of 1 second and the value of the -t parameter. - The value can be fine-tuned by setting AFL_HANG_TMOUT, but this - is rarely necessary. - -Crashes and hangs are considered "unique" if the associated execution paths -involve any state transitions not seen in previously-recorded faults. If a -single bug can be reached in multiple ways, there will be some count inflation -early in the process, but this should quickly taper off. - -The file names for crashes and hangs are correlated with the parent, non-faulting -queue entries. This should help with debugging. - -When you can't reproduce a crash found by afl-fuzz, the most likely cause is -that you are not setting the same memory limit as used by the tool. Try: - -```shell -LIMIT_MB=50 -( ulimit -Sv $[LIMIT_MB << 10]; /path/to/tested_binary ... ) -``` - -Change LIMIT_MB to match the -m parameter passed to afl-fuzz. On OpenBSD, -also change -Sv to -Sd. - -Any existing output directory can be also used to resume aborted jobs; try: - -```shell -./afl-fuzz -i- -o existing_output_dir [...etc...] -``` - -If you have gnuplot installed, you can also generate some pretty graphs for any -active fuzzing task using afl-plot. For an example of how this looks like, -see [http://lcamtuf.coredump.cx/afl/plot/](http://lcamtuf.coredump.cx/afl/plot/). - -You can also manually build and install afl-plot-ui, which is a helper utility -for showing the graphs generated by afl-plot in a graphical window using GTK. -You can build and install it as follows - -```shell -sudo apt install libgtk-3-0 libgtk-3-dev pkg-config -cd utils/plot_ui -make -cd ../../ -sudo make install -``` - -## Help: Crash triage - -The coverage-based grouping of crashes usually produces a small data set that -can be quickly triaged manually or with a very simple GDB or Valgrind script. -Every crash is also traceable to its parent non-crashing test case in the -queue, making it easier to diagnose faults. - -Having said that, it's important to acknowledge that some fuzzing crashes can be -difficult to quickly evaluate for exploitability without a lot of debugging and -code analysis work. To assist with this task, afl-fuzz supports a very unique -"crash exploration" mode enabled with the -C flag. - -In this mode, the fuzzer takes one or more crashing test cases as the input -and uses its feedback-driven fuzzing strategies to very quickly enumerate all -code paths that can be reached in the program while keeping it in the -crashing state. - -Mutations that do not result in a crash are rejected; so are any changes that -do not affect the execution path. - -The output is a small corpus of files that can be very rapidly examined to see -what degree of control the attacker has over the faulting address, or whether -it is possible to get past an initial out-of-bounds read - and see what lies -beneath. - -Oh, one more thing: for test case minimization, give afl-tmin a try. The tool -can be operated in a very simple way: - -```shell -./afl-tmin -i test_case -o minimized_result -- /path/to/program [...] -``` - -The tool works with crashing and non-crashing test cases alike. In the crash -mode, it will happily accept instrumented and non-instrumented binaries. In the -non-crashing mode, the minimizer relies on standard AFL++ instrumentation to make -the file simpler without altering the execution path. - -The minimizer accepts the -m, -t, -f and @@ syntax in a manner compatible with -afl-fuzz. - -Another tool in AFL++ is the afl-analyze tool. It takes an input -file, attempts to sequentially flip bytes, and observes the behavior of the -tested program. It then color-codes the input based on which sections appear to -be critical, and which are not; while not bulletproof, it can often offer quick -insights into complex file formats. More info about its operation can be found -near the end of [docs/technical_details.md](docs/technical_details.md). - -## Going beyond crashes - -Fuzzing is a wonderful and underutilized technique for discovering non-crashing -design and implementation errors, too. Quite a few interesting bugs have been -found by modifying the target programs to call abort() when say: - - - Two bignum libraries produce different outputs when given the same - fuzzer-generated input, - - - An image library produces different outputs when asked to decode the same - input image several times in a row, - - - A serialization / deserialization library fails to produce stable outputs - when iteratively serializing and deserializing fuzzer-supplied data, - - - A compression library produces an output inconsistent with the input file - when asked to compress and then decompress a particular blob. - -Implementing these or similar sanity checks usually takes very little time; -if you are the maintainer of a particular package, you can make this code -conditional with `#ifdef FUZZING_BUILD_MODE_UNSAFE_FOR_PRODUCTION` (a flag also -shared with libfuzzer and honggfuzz) or `#ifdef __AFL_COMPILER` (this one is -just for AFL). - -## Common-sense risks - -Please keep in mind that, similarly to many other computationally-intensive -tasks, fuzzing may put a strain on your hardware and on the OS. In particular: - - - Your CPU will run hot and will need adequate cooling. In most cases, if - cooling is insufficient or stops working properly, CPU speeds will be - automatically throttled. That said, especially when fuzzing on less - suitable hardware (laptops, smartphones, etc), it's not entirely impossible - for something to blow up. - - - Targeted programs may end up erratically grabbing gigabytes of memory or - filling up disk space with junk files. AFL++ tries to enforce basic memory - limits, but can't prevent each and every possible mishap. The bottom line - is that you shouldn't be fuzzing on systems where the prospect of data loss - is not an acceptable risk. - - - Fuzzing involves billions of reads and writes to the filesystem. On modern - systems, this will be usually heavily cached, resulting in fairly modest - "physical" I/O - but there are many factors that may alter this equation. - It is your responsibility to monitor for potential trouble; with very heavy - I/O, the lifespan of many HDDs and SSDs may be reduced. - - A good way to monitor disk I/O on Linux is the 'iostat' command: - -```shell - $ iostat -d 3 -x -k [...optional disk ID...] -``` - - Using the `AFL_TMPDIR` environment variable and a RAM-disk you can have the - heavy writing done in RAM to prevent the aforementioned wear and tear. For - example the following line will run a Docker container with all this preset: - - ```shell - # docker run -ti --mount type=tmpfs,destination=/ramdisk -e AFL_TMPDIR=/ramdisk aflplusplus/aflplusplus - ``` - -## Known limitations & areas for improvement - -Here are some of the most important caveats for AFL: - - - AFL++ detects faults by checking for the first spawned process dying due to - a signal (SIGSEGV, SIGABRT, etc). Programs that install custom handlers for - these signals may need to have the relevant code commented out. In the same - vein, faults in child processes spawned by the fuzzed target may evade - detection unless you manually add some code to catch that. - - - As with any other brute-force tool, the fuzzer offers limited coverage if - encryption, checksums, cryptographic signatures, or compression are used to - wholly wrap the actual data format to be tested. - - To work around this, you can comment out the relevant checks (see - utils/libpng_no_checksum/ for inspiration); if this is not possible, - you can also write a postprocessor, one of the hooks of custom mutators. - See [docs/custom_mutators.md](docs/custom_mutators.md) on how to use - `AFL_CUSTOM_MUTATOR_LIBRARY` - - - There are some unfortunate trade-offs with ASAN and 64-bit binaries. This - isn't due to any specific fault of afl-fuzz. - - - There is no direct support for fuzzing network services, background - daemons, or interactive apps that require UI interaction to work. You may - need to make simple code changes to make them behave in a more traditional - way. Preeny may offer a relatively simple option, too - see: - [https://github.com/zardus/preeny](https://github.com/zardus/preeny) - - Some useful tips for modifying network-based services can be also found at: - [https://www.fastly.com/blog/how-to-fuzz-server-american-fuzzy-lop](https://www.fastly.com/blog/how-to-fuzz-server-american-fuzzy-lop) - - - Occasionally, sentient machines rise against their creators. If this - happens to you, please consult [http://lcamtuf.coredump.cx/prep/](http://lcamtuf.coredump.cx/prep/). - -Beyond this, see INSTALL for platform-specific tips. +1. Instrumenting the target: + 1. Selecting a compiler. + 2. Instrumenting the target. +2. Preparing the fuzzing campaign. +3. Fuzzing the target: + 1. Running afl-fuzz. + 2. Stopping or restarting afl-fuzz or adding new seeds. +4. Monitoring. + 1. Checking the status. + 2. Checking the coverage. +5. Triaging crashes. ## Special thanks -Many of the improvements to the original AFL and AFL++ wouldn't be possible -without feedback, bug reports, or patches from: +Many of the improvements to the original AFL and AFL++ wouldn't be possible without feedback, bug reports, or patches from: ``` Jann Horn Hanno Boeck @@ -1406,36 +133,13 @@ without feedback, bug reports, or patches from: Thank you! (For people sending pull requests - please add yourself to this list :-) -## Cite - -If you use AFLpluplus to compare to your work, please use either `afl-clang-lto` -or `afl-clang-fast` with `AFL_LLVM_CMPLOG=1` for building targets and -`afl-fuzz` with the command line option `-l 2` for fuzzing. -The most effective setup is the `aflplusplus` default configuration on Google's [fuzzbench](https://github.com/google/fuzzbench/tree/master/fuzzers/aflplusplus). - -If you use AFLplusplus in scientific work, consider citing [our paper](https://www.usenix.org/conference/woot20/presentation/fioraldi) presented at WOOT'20: - -+ Andrea Fioraldi, Dominik Maier, Heiko Eißfeldt, and Marc Heuse. “AFL++: Combining incremental steps of fuzzing research”. In 14th USENIX Workshop on Offensive Technologies (WOOT 20). USENIX Association, Aug. 2020. - -Bibtex: - -```bibtex -@inproceedings {AFLplusplus-Woot20, - author = {Andrea Fioraldi and Dominik Maier and Heiko Ei{\ss}feldt and Marc Heuse}, - title = {{AFL++}: Combining Incremental Steps of Fuzzing Research}, - booktitle = {14th {USENIX} Workshop on Offensive Technologies ({WOOT} 20)}, - year = {2020}, - publisher = {{USENIX} Association}, - month = aug, -} -``` - ## Contact -Questions? Concerns? Bug reports? The contributors can be reached via -[https://github.com/AFLplusplus/AFLplusplus](https://github.com/AFLplusplus/AFLplusplus) +Questions? Concerns? Bug reports? + +* The contributors can be reached via +[https://github.com/AFLplusplus/AFLplusplus](https://github.com/AFLplusplus/AFLplusplus). -There is also a mailing list for the AFL/AFL++ project; to join, send a mail to -. Or, if you prefer to browse archives -first, try: [https://groups.google.com/group/afl-users](https://groups.google.com/group/afl-users) +* There is a mailing list for the AFL/AFL++ project ([browse archive](https://groups.google.com/group/afl-users)). To compare notes with other users or to get notified about major new features, send an email to . +* Or join the [Awesome Fuzzing](https://discord.gg/gCraWct) Discord server. \ No newline at end of file diff --git a/docs/afl-fuzz_approach.md b/docs/afl-fuzz_approach.md new file mode 100644 index 00000000..5652816b --- /dev/null +++ b/docs/afl-fuzz_approach.md @@ -0,0 +1,37 @@ +# The afl-fuzz approach + +American Fuzzy Lop is a brute-force fuzzer coupled with an exceedingly simple +but rock-solid instrumentation-guided genetic algorithm. It uses a modified +form of edge coverage to effortlessly pick up subtle, local-scale changes to +program control flow. + +Simplifying a bit, the overall algorithm can be summed up as: + + 1) Load user-supplied initial test cases into the queue, + + 2) Take the next input file from the queue, + + 3) Attempt to trim the test case to the smallest size that doesn't alter + the measured behavior of the program, + + 4) Repeatedly mutate the file using a balanced and well-researched variety + of traditional fuzzing strategies, + + 5) If any of the generated mutations resulted in a new state transition + recorded by the instrumentation, add mutated output as a new entry in the + queue. + + 6) Go to 2. + +The discovered test cases are also periodically culled to eliminate ones that +have been obsoleted by newer, higher-coverage finds; and undergo several other +instrumentation-driven effort minimization steps. + +As a side result of the fuzzing process, the tool creates a small, +self-contained corpus of interesting test cases. These are extremely useful +for seeding other, labor- or resource-intensive testing regimes - for example, +for stress-testing browsers, office applications, graphics suites, or +closed-source tools. + +The fuzzer is thoroughly tested to deliver out-of-the-box performance far +superior to blind fuzzing or coverage-only tools. \ No newline at end of file diff --git a/docs/behaviour_changes.md b/docs/behaviour_changes.md new file mode 100644 index 00000000..8124ed09 --- /dev/null +++ b/docs/behaviour_changes.md @@ -0,0 +1,54 @@ +# Major behaviour changes in AFL++ + +## From version 3.00 onwards + +With AFL++ 3.13-3.20 we introduce frida_mode (-O) to have an alternative for +binary-only fuzzing. It is slower than Qemu mode but works on MacOS, Android, +iOS etc. + +With AFL++ 3.15 we introduced the following changes from previous behaviours: + * Also -M main mode does not do deterministic fuzzing by default anymore + * afl-cmin and afl-showmap -Ci now descent into subdirectories like + afl-fuzz -i does (but note that afl-cmin.bash does not) + +With AFL++ 3.14 we introduced the following changes from previous behaviours: + * afl-fuzz: deterministic fuzzing it not a default for -M main anymore + * afl-cmin/afl-showmap -i now descends into subdirectories (afl-cmin.bash + however does not) + +With AFL++ 3.10 we introduced the following changes from previous behaviours: + * The '+' feature of the '-t' option now means to auto-calculate the timeout + with the value given being the maximum timeout. The original meaning of + "skipping timeouts instead of abort" is now inherent to the -t option. + +With AFL++ 3.00 we introduced changes that break some previous AFL and AFL++ +behaviours and defaults: + * There are no llvm_mode and gcc_plugin subdirectories anymore and there is + only one compiler: afl-cc. All previous compilers now symlink to this one. + All instrumentation source code is now in the `instrumentation/` folder. + * The gcc_plugin was replaced with a new version submitted by AdaCore that + supports more features. Thank you! + * qemu_mode got upgraded to QEMU 5.1, but to be able to build this a current + ninja build tool version and python3 setuptools are required. + qemu_mode also got new options like snapshotting, instrumenting specific + shared libraries, etc. Additionally QEMU 5.1 supports more CPU targets so + this is really worth it. + * When instrumenting targets, afl-cc will not supersede optimizations anymore + if any were given. This allows to fuzz targets build regularly like those + for debug or release versions. + * afl-fuzz: + * if neither -M or -S is specified, `-S default` is assumed, so more + fuzzers can easily be added later + * `-i` input directory option now descends into subdirectories. It also + does not fatal on crashes and too large files, instead it skips them + and uses them for splicing mutations + * -m none is now default, set memory limits (in MB) with e.g. -m 250 + * deterministic fuzzing is now disabled by default (unless using -M) and + can be enabled with -D + * a caching of testcases can now be performed and can be modified by + editing config.h for TESTCASE_CACHE or by specifying the env variable + `AFL_TESTCACHE_SIZE` (in MB). Good values are between 50-500 (default: 50). + * -M mains do not perform trimming + * examples/ got renamed to utils/ + * libtokencap/ libdislocator/ and qdbi_mode/ were moved to utils/ + * afl-cmin/afl-cmin.bash now search first in PATH and last in AFL_PATH \ No newline at end of file diff --git a/docs/beyond_crashes.md b/docs/beyond_crashes.md new file mode 100644 index 00000000..4836419c --- /dev/null +++ b/docs/beyond_crashes.md @@ -0,0 +1,23 @@ +# Going beyond crashes + +Fuzzing is a wonderful and underutilized technique for discovering non-crashing +design and implementation errors, too. Quite a few interesting bugs have been +found by modifying the target programs to call abort() when say: + + - Two bignum libraries produce different outputs when given the same + fuzzer-generated input, + + - An image library produces different outputs when asked to decode the same + input image several times in a row, + + - A serialization / deserialization library fails to produce stable outputs + when iteratively serializing and deserializing fuzzer-supplied data, + + - A compression library produces an output inconsistent with the input file + when asked to compress and then decompress a particular blob. + +Implementing these or similar sanity checks usually takes very little time; +if you are the maintainer of a particular package, you can make this code +conditional with `#ifdef FUZZING_BUILD_MODE_UNSAFE_FOR_PRODUCTION` (a flag also +shared with libfuzzer and honggfuzz) or `#ifdef __AFL_COMPILER` (this one is +just for AFL). \ No newline at end of file diff --git a/docs/branches.md b/docs/branches.md new file mode 100644 index 00000000..d191c4f6 --- /dev/null +++ b/docs/branches.md @@ -0,0 +1,10 @@ +# Branches + +The following branches exist: + +* [release](https://github.com/AFLplusplus/AFLplusplus/tree/release): the latest release +* [stable/trunk](https://github.com/AFLplusplus/AFLplusplus/): stable state of AFL++ - it is synced from dev from time to time when we are satisfied with its stability +* [dev](https://github.com/AFLplusplus/AFLplusplus/tree/dev): development state of AFL++ - bleeding edge and you might catch a checkout which does not compile or has a bug. *We only accept PRs in dev!!* +* (any other): experimental branches to work on specific features or testing new functionality or changes. + +For releases, please see the [Releases](https://github.com/AFLplusplus/AFLplusplus/releases) tab. Also take a look at the list of [major behaviour changes in AFL++](docs/behaviour_changes.md). \ No newline at end of file diff --git a/docs/building_installing.md b/docs/building_installing.md new file mode 100644 index 00000000..8641b702 --- /dev/null +++ b/docs/building_installing.md @@ -0,0 +1,78 @@ +# Building and installing AFL++ + +An easy way to install AFL++ with everything compiled is available via docker: +You can use the [Dockerfile](Dockerfile) (which has gcc-10 and clang-11 - +hence afl-clang-lto is available!) or just pull directly from the docker hub: + +```shell +docker pull aflplusplus/aflplusplus +docker run -ti -v /location/of/your/target:/src aflplusplus/aflplusplus +``` + +This image is automatically generated when a push to the stable repo happens. +You will find your target source code in /src in the container. + +If you want to build AFL++ yourself you have many options. +The easiest choice is to build and install everything: + +```shell +sudo apt-get update +sudo apt-get install -y build-essential python3-dev automake git flex bison libglib2.0-dev libpixman-1-dev python3-setuptools +# try to install llvm 11 and install the distro default if that fails +sudo apt-get install -y lld-11 llvm-11 llvm-11-dev clang-11 || sudo apt-get install -y lld llvm llvm-dev clang +sudo apt-get install -y gcc-$(gcc --version|head -n1|sed 's/.* //'|sed 's/\..*//')-plugin-dev libstdc++-$(gcc --version|head -n1|sed 's/.* //'|sed 's/\..*//')-dev +git clone https://github.com/AFLplusplus/AFLplusplus +cd AFLplusplus +make distrib +sudo make install +``` + +It is recommended to install the newest available gcc, clang and llvm-dev +possible in your distribution! + +Note that "make distrib" also builds instrumentation, qemu_mode, unicorn_mode and +more. If you just want plain AFL++ then do "make all", however compiling and +using at least instrumentation is highly recommended for much better results - +hence in this case + +```shell +make source-only +``` + +is what you should choose. + +These build targets exist: + +* all: just the main AFL++ binaries +* binary-only: everything for binary-only fuzzing: qemu_mode, unicorn_mode, libdislocator, libtokencap +* source-only: everything for source code fuzzing: instrumentation, libdislocator, libtokencap +* distrib: everything (for both binary-only and source code fuzzing) +* man: creates simple man pages from the help option of the programs +* install: installs everything you have compiled with the build options above +* clean: cleans everything compiled, not downloads (unless not on a checkout) +* deepclean: cleans everything including downloads +* code-format: format the code, do this before you commit and send a PR please! +* tests: runs test cases to ensure that all features are still working as they should +* unit: perform unit tests (based on cmocka) +* help: shows these build options + +[Unless you are on Mac OS X](https://developer.apple.com/library/archive/qa/qa1118/_index.html) you can also build statically linked versions of the +AFL++ binaries by passing the STATIC=1 argument to make: + +```shell +make STATIC=1 +``` + +These build options exist: + +* STATIC - compile AFL++ static +* ASAN_BUILD - compiles with memory sanitizer for debug purposes +* DEBUG - no optimization, -ggdb3, all warnings and -Werror +* PROFILING - compile with profiling information (gprof) +* INTROSPECTION - compile afl-fuzz with mutation introspection +* NO_PYTHON - disable python support +* NO_SPLICING - disables splicing mutation in afl-fuzz, not recommended for normal fuzzing +* AFL_NO_X86 - if compiling on non-intel/amd platforms +* LLVM_CONFIG - if your distro doesn't use the standard name for llvm-config (e.g. Debian) + +e.g.: `make ASAN_BUILD=1` \ No newline at end of file diff --git a/docs/choosing_testcases.md b/docs/choosing_testcases.md new file mode 100644 index 00000000..25002929 --- /dev/null +++ b/docs/choosing_testcases.md @@ -0,0 +1,19 @@ +# Choosing initial test cases + +To operate correctly, the fuzzer requires one or more starting file that +contains a good example of the input data normally expected by the targeted +application. There are two basic rules: + + - Keep the files small. Under 1 kB is ideal, although not strictly necessary. + For a discussion of why size matters, see [perf_tips.md](perf_tips.md). + + - Use multiple test cases only if they are functionally different from + each other. There is no point in using fifty different vacation photos + to fuzz an image library. + +You can find many good examples of starting files in the testcases/ subdirectory +that comes with this tool. + +PS. If a large corpus of data is available for screening, you may want to use +the afl-cmin utility to identify a subset of functionally distinct files that +exercise different code paths in the target binary. \ No newline at end of file diff --git a/docs/ci_fuzzing.md b/docs/ci_fuzzing.md new file mode 100644 index 00000000..316059f8 --- /dev/null +++ b/docs/ci_fuzzing.md @@ -0,0 +1,29 @@ +# CI Fuzzing + +Some notes on CI Fuzzing - this fuzzing is different to normal fuzzing campaigns as these are much shorter runnings. + +1. Always: + * LTO has a much longer compile time which is diametrical to short fuzzing - hence use afl-clang-fast instead. + * If you compile with CMPLOG then you can save fuzzing time and reuse that compiled target for both the -c option and the main fuzz target. + This will impact the speed by ~15% though. + * `AFL_FAST_CAL` - Enable fast calibration, this halfs the time the saturated corpus needs to be loaded. + * `AFL_CMPLOG_ONLY_NEW` - only perform cmplog on new found paths, not the initial corpus as this very likely has been done for them already. + * Keep the generated corpus, use afl-cmin and reuse it every time! + +2. Additionally randomize the AFL++ compilation options, e.g. + * 40% for `AFL_LLVM_CMPLOG` + * 10% for `AFL_LLVM_LAF_ALL` + +3. Also randomize the afl-fuzz runtime options, e.g. + * 65% for `AFL_DISABLE_TRIM` + * 50% use a dictionary generated by `AFL_LLVM_DICT2FILE` + * 40% use MOpt (`-L 0`) + * 40% for `AFL_EXPAND_HAVOC_NOW` + * 20% for old queue processing (`-Z`) + * for CMPLOG targets, 60% for `-l 2`, 40% for `-l 3` + +4. Do *not* run any `-M` modes, just running `-S` modes is better for CI fuzzing. +`-M` enables old queue handling etc. which is good for a fuzzing campaign but not good for short CI runs. + +How this can look like can e.g. be seen at AFL++'s setup in Google's [oss-fuzz](https://github.com/google/oss-fuzz/blob/master/infra/base-images/base-builder/compile_afl) +and [clusterfuzz](https://github.com/google/clusterfuzz/blob/master/src/python/bot/fuzzers/afl/launcher.py). \ No newline at end of file diff --git a/docs/cite.md b/docs/cite.md new file mode 100644 index 00000000..603616e5 --- /dev/null +++ b/docs/cite.md @@ -0,0 +1,23 @@ +# Cite + +If you use AFLpluplus to compare to your work, please use either `afl-clang-lto` +or `afl-clang-fast` with `AFL_LLVM_CMPLOG=1` for building targets and +`afl-fuzz` with the command line option `-l 2` for fuzzing. +The most effective setup is the `aflplusplus` default configuration on Google's [fuzzbench](https://github.com/google/fuzzbench/tree/master/fuzzers/aflplusplus). + +If you use AFLplusplus in scientific work, consider citing [our paper](https://www.usenix.org/conference/woot20/presentation/fioraldi) presented at WOOT'20: + ++ Andrea Fioraldi, Dominik Maier, Heiko Eißfeldt, and Marc Heuse. “AFL++: Combining incremental steps of fuzzing research”. In 14th USENIX Workshop on Offensive Technologies (WOOT 20). USENIX Association, Aug. 2020. + +Bibtex: + +```bibtex +@inproceedings {AFLplusplus-Woot20, + author = {Andrea Fioraldi and Dominik Maier and Heiko Ei{\ss}feldt and Marc Heuse}, + title = {{AFL++}: Combining Incremental Steps of Fuzzing Research}, + booktitle = {14th {USENIX} Workshop on Offensive Technologies ({WOOT} 20)}, + year = {2020}, + publisher = {{USENIX} Association}, + month = aug, +} +``` \ No newline at end of file diff --git a/docs/common_sense_risks.md b/docs/common_sense_risks.md new file mode 100644 index 00000000..a8d68d7a --- /dev/null +++ b/docs/common_sense_risks.md @@ -0,0 +1,36 @@ +# Common sense risks + +Please keep in mind that, similarly to many other computationally-intensive +tasks, fuzzing may put a strain on your hardware and on the OS. In particular: + + - Your CPU will run hot and will need adequate cooling. In most cases, if + cooling is insufficient or stops working properly, CPU speeds will be + automatically throttled. That said, especially when fuzzing on less + suitable hardware (laptops, smartphones, etc), it's not entirely impossible + for something to blow up. + + - Targeted programs may end up erratically grabbing gigabytes of memory or + filling up disk space with junk files. AFL++ tries to enforce basic memory + limits, but can't prevent each and every possible mishap. The bottom line + is that you shouldn't be fuzzing on systems where the prospect of data loss + is not an acceptable risk. + + - Fuzzing involves billions of reads and writes to the filesystem. On modern + systems, this will be usually heavily cached, resulting in fairly modest + "physical" I/O - but there are many factors that may alter this equation. + It is your responsibility to monitor for potential trouble; with very heavy + I/O, the lifespan of many HDDs and SSDs may be reduced. + + A good way to monitor disk I/O on Linux is the 'iostat' command: + +```shell + $ iostat -d 3 -x -k [...optional disk ID...] +``` + + Using the `AFL_TMPDIR` environment variable and a RAM-disk you can have the + heavy writing done in RAM to prevent the aforementioned wear and tear. For + example the following line will run a Docker container with all this preset: + + ```shell + # docker run -ti --mount type=tmpfs,destination=/ramdisk -e AFL_TMPDIR=/ramdisk aflplusplus/aflplusplus + ``` \ No newline at end of file diff --git a/docs/features.md b/docs/features.md new file mode 100644 index 00000000..c0956703 --- /dev/null +++ b/docs/features.md @@ -0,0 +1,46 @@ +# Important features of AFL++ + + AFL++ supports llvm from 3.8 up to version 12, very fast binary fuzzing with QEMU 5.1 + with laf-intel and redqueen, frida mode, unicorn mode, gcc plugin, full *BSD, + Mac OS, Solaris and Android support and much, much, much more. + + | Feature/Instrumentation | afl-gcc | llvm | gcc_plugin | frida_mode | qemu_mode |unicorn_mode | + | -------------------------|:-------:|:---------:|:----------:|:----------------:|:----------------:|:----------------:| + | Threadsafe counters | | x(3) | | | | | + | NeverZero | x86[_64]| x(1) | x | x | x | x | + | Persistent Mode | | x | x | x86[_64]/arm64 | x86[_64]/arm[64] | x | + | LAF-Intel / CompCov | | x | | | x86[_64]/arm[64] | x86[_64]/arm[64] | + | CmpLog | | x | | x86[_64]/arm64 | x86[_64]/arm[64] | | + | Selective Instrumentation| | x | x | x | x | | + | Non-Colliding Coverage | | x(4) | | | (x)(5) | | + | Ngram prev_loc Coverage | | x(6) | | | | | + | Context Coverage | | x(6) | | | | | + | Auto Dictionary | | x(7) | | | | | + | Snapshot LKM Support | | (x)(8) | (x)(8) | | (x)(5) | | + | Shared Memory Testcases | | x | x | x86[_64]/arm64 | x | x | + + 1. default for LLVM >= 9.0, env var for older version due an efficiency bug in previous llvm versions + 2. GCC creates non-performant code, hence it is disabled in gcc_plugin + 3. with `AFL_LLVM_THREADSAFE_INST`, disables NeverZero + 4. with pcguard mode and LTO mode for LLVM 11 and newer + 5. upcoming, development in the branch + 6. not compatible with LTO instrumentation and needs at least LLVM v4.1 + 7. automatic in LTO mode with LLVM 11 and newer, an extra pass for all LLVM versions that write to a file to use with afl-fuzz' `-x` + 8. the snapshot LKM is currently unmaintained due to too many kernel changes coming too fast :-( + + Among others, the following features and patches have been integrated: + + * NeverZero patch for afl-gcc, instrumentation, qemu_mode and unicorn_mode which prevents a wrapping map value to zero, increases coverage + * Persistent mode, deferred forkserver and in-memory fuzzing for qemu_mode + * Unicorn mode which allows fuzzing of binaries from completely different platforms (integration provided by domenukk) + * The new CmpLog instrumentation for LLVM and QEMU inspired by [Redqueen](https://www.syssec.ruhr-uni-bochum.de/media/emma/veroeffentlichungen/2018/12/17/NDSS19-Redqueen.pdf) + * Win32 PE binary-only fuzzing with QEMU and Wine + * AFLfast's power schedules by Marcel Böhme: [https://github.com/mboehme/aflfast](https://github.com/mboehme/aflfast) + * The MOpt mutator: [https://github.com/puppet-meteor/MOpt-AFL](https://github.com/puppet-meteor/MOpt-AFL) + * LLVM mode Ngram coverage by Adrian Herrera [https://github.com/adrianherrera/afl-ngram-pass](https://github.com/adrianherrera/afl-ngram-pass) + * LAF-Intel/CompCov support for instrumentation, qemu_mode and unicorn_mode (with enhanced capabilities) + * Radamsa and honggfuzz mutators (as custom mutators). + * QBDI mode to fuzz android native libraries via Quarkslab's [QBDI](https://github.com/QBDI/QBDI) framework + * Frida and ptrace mode to fuzz binary-only libraries, etc. + + So all in all this is the best-of AFL that is out there :-) \ No newline at end of file diff --git a/docs/fuzzing.md b/docs/fuzzing.md new file mode 100644 index 00000000..b173847a --- /dev/null +++ b/docs/fuzzing.md @@ -0,0 +1,623 @@ +# Fuzzing with AFL++ + +The following describes how to fuzz with a target if source code is available. +If you have a binary-only target please skip to [#Instrumenting binary-only apps](#Instrumenting binary-only apps) + +Fuzzing source code is a three-step process. + +1. Compile the target with a special compiler that prepares the target to be + fuzzed efficiently. This step is called "instrumenting a target". +2. Prepare the fuzzing by selecting and optimizing the input corpus for the + target. +3. Perform the fuzzing of the target by randomly mutating input and assessing + if a generated input was processed in a new path in the target binary. + +### 1. Instrumenting that target + +#### a) Selecting the best AFL++ compiler for instrumenting the target + +AFL++ comes with a central compiler `afl-cc` that incorporates various different +kinds of compiler targets and and instrumentation options. +The following evaluation flow will help you to select the best possible. + +It is highly recommended to have the newest llvm version possible installed, +anything below 9 is not recommended. + +``` ++--------------------------------+ +| clang/clang++ 11+ is available | --> use LTO mode (afl-clang-lto/afl-clang-lto++) ++--------------------------------+ see [instrumentation/README.lto.md](instrumentation/README.lto.md) + | + | if not, or if the target fails with LTO afl-clang-lto/++ + | + v ++---------------------------------+ +| clang/clang++ 3.8+ is available | --> use LLVM mode (afl-clang-fast/afl-clang-fast++) ++---------------------------------+ see [instrumentation/README.llvm.md](instrumentation/README.llvm.md) + | + | if not, or if the target fails with LLVM afl-clang-fast/++ + | + v + +--------------------------------+ + | gcc 5+ is available | -> use GCC_PLUGIN mode (afl-gcc-fast/afl-g++-fast) + +--------------------------------+ see [instrumentation/README.gcc_plugin.md](instrumentation/README.gcc_plugin.md) and + [instrumentation/README.instrument_list.md](instrumentation/README.instrument_list.md) + | + | if not, or if you do not have a gcc with plugin support + | + v + use GCC mode (afl-gcc/afl-g++) (or afl-clang/afl-clang++ for clang) +``` + +Clickable README links for the chosen compiler: + + * [LTO mode - afl-clang-lto](instrumentation/README.lto.md) + * [LLVM mode - afl-clang-fast](instrumentation/README.llvm.md) + * [GCC_PLUGIN mode - afl-gcc-fast](instrumentation/README.gcc_plugin.md) + * GCC/CLANG modes (afl-gcc/afl-clang) have no README as they have no own features + +You can select the mode for the afl-cc compiler by: + 1. use a symlink to afl-cc: afl-gcc, afl-g++, afl-clang, afl-clang++, + afl-clang-fast, afl-clang-fast++, afl-clang-lto, afl-clang-lto++, + afl-gcc-fast, afl-g++-fast (recommended!) + 2. using the environment variable AFL_CC_COMPILER with MODE + 3. passing --afl-MODE command line options to the compiler via CFLAGS/CXXFLAGS/CPPFLAGS + +MODE can be one of: LTO (afl-clang-lto*), LLVM (afl-clang-fast*), GCC_PLUGIN +(afl-g*-fast) or GCC (afl-gcc/afl-g++) or CLANG(afl-clang/afl-clang++). + +Because no AFL specific command-line options are accepted (beside the +--afl-MODE command), the compile-time tools make fairly broad use of environment +variables, which can be listed with `afl-cc -hh` or by reading [env_variables.md](env_variables.md). + +#### b) Selecting instrumentation options + +The following options are available when you instrument with LTO mode (afl-clang-fast/afl-clang-lto): + + * Splitting integer, string, float and switch comparisons so AFL++ can easier + solve these. This is an important option if you do not have a very good + and large input corpus. This technique is called laf-intel or COMPCOV. + To use this set the following environment variable before compiling the + target: `export AFL_LLVM_LAF_ALL=1` + You can read more about this in [instrumentation/README.laf-intel.md](instrumentation/README.laf-intel.md) + * A different technique (and usually a better one than laf-intel) is to + instrument the target so that any compare values in the target are sent to + AFL++ which then tries to put these values into the fuzzing data at different + locations. This technique is very fast and good - if the target does not + transform input data before comparison. Therefore this technique is called + `input to state` or `redqueen`. + If you want to use this technique, then you have to compile the target + twice, once specifically with/for this mode, and pass this binary to afl-fuzz + via the `-c` parameter. + Note that you can compile also just a cmplog binary and use that for both + however there will be a performance penality. + You can read more about this in [instrumentation/README.cmplog.md](instrumentation/README.cmplog.md) + +If you use LTO, LLVM or GCC_PLUGIN mode (afl-clang-fast/afl-clang-lto/afl-gcc-fast) +you have the option to selectively only instrument parts of the target that you +are interested in: + + * To instrument only those parts of the target that you are interested in + create a file with all the filenames of the source code that should be + instrumented. + For afl-clang-lto and afl-gcc-fast - or afl-clang-fast if a mode other than + DEFAULT/PCGUARD is used or you have llvm > 10.0.0 - just put one + filename or function per line (no directory information necessary for + filenames9, and either set `export AFL_LLVM_ALLOWLIST=allowlist.txt` **or** + `export AFL_LLVM_DENYLIST=denylist.txt` - depending on if you want per + default to instrument unless noted (DENYLIST) or not perform instrumentation + unless requested (ALLOWLIST). + **NOTE:** During optimization functions might be inlined and then would not match! + See [instrumentation/README.instrument_list.md](instrumentation/README.instrument_list.md) + +There are many more options and modes available however these are most of the +time less effective. See: + * [instrumentation/README.ctx.md](instrumentation/README.ctx.md) + * [instrumentation/README.ngram.md](instrumentation/README.ngram.md) + +AFL++ performs "never zero" counting in its bitmap. You can read more about this +here: + * [instrumentation/README.neverzero.md](instrumentation/README.neverzero.md) + +#### c) Sanitizers + +It is possible to use sanitizers when instrumenting targets for fuzzing, +which allows you to find bugs that would not necessarily result in a crash. + +Note that sanitizers have a huge impact on CPU (= less executions per second) +and RAM usage. Also you should only run one afl-fuzz instance per sanitizer type. +This is enough because a use-after-free bug will be picked up, e.g. by +ASAN (address sanitizer) anyway when syncing to other fuzzing instances, +so not all fuzzing instances need to be instrumented with ASAN. + +The following sanitizers have built-in support in AFL++: + * ASAN = Address SANitizer, finds memory corruption vulnerabilities like + use-after-free, NULL pointer dereference, buffer overruns, etc. + Enabled with `export AFL_USE_ASAN=1` before compiling. + * MSAN = Memory SANitizer, finds read access to uninitialized memory, eg. + a local variable that is defined and read before it is even set. + Enabled with `export AFL_USE_MSAN=1` before compiling. + * UBSAN = Undefined Behaviour SANitizer, finds instances where - by the + C and C++ standards - undefined behaviour happens, e.g. adding two + signed integers together where the result is larger than a signed integer + can hold. + Enabled with `export AFL_USE_UBSAN=1` before compiling. + * CFISAN = Control Flow Integrity SANitizer, finds instances where the + control flow is found to be illegal. Originally this was rather to + prevent return oriented programming exploit chains from functioning, + in fuzzing this is mostly reduced to detecting type confusion + vulnerabilities - which is however one of the most important and dangerous + C++ memory corruption classes! + Enabled with `export AFL_USE_CFISAN=1` before compiling. + * LSAN = Leak SANitizer, finds memory leaks in a program. This is not really + a security issue, but for developers this can be very valuable. + Note that unlike the other sanitizers above this needs + `__AFL_LEAK_CHECK();` added to all areas of the target source code where you + find a leak check necessary! + Enabled with `export AFL_USE_LSAN=1` before compiling. + +It is possible to further modify the behaviour of the sanitizers at run-time +by setting `ASAN_OPTIONS=...`, `LSAN_OPTIONS` etc. - the available parameters +can be looked up in the sanitizer documentation of llvm/clang. +afl-fuzz however requires some specific parameters important for fuzzing to be +set. If you want to set your own, it might bail and report what it is missing. + +Note that some sanitizers cannot be used together, e.g. ASAN and MSAN, and +others often cannot work together because of target weirdness, e.g. ASAN and +CFISAN. You might need to experiment which sanitizers you can combine in a +target (which means more instances can be run without a sanitized target, +which is more effective). + +#### d) Modify the target + +If the target has features that make fuzzing more difficult, e.g. +checksums, HMAC, etc. then modify the source code so that checks for these +values are removed. +This can even be done safely for source code used in operational products +by eliminating these checks within these AFL specific blocks: + +``` +#ifdef FUZZING_BUILD_MODE_UNSAFE_FOR_PRODUCTION + // say that the checksum or HMAC was fine - or whatever is required + // to eliminate the need for the fuzzer to guess the right checksum + return 0; +#endif +``` + +All AFL++ compilers will set this preprocessor definition automatically. + +#### e) Instrument the target + +In this step the target source code is compiled so that it can be fuzzed. + +Basically you have to tell the target build system that the selected AFL++ +compiler is used. Also - if possible - you should always configure the +build system such that the target is compiled statically and not dynamically. +How to do this is described below. + +The #1 rule when instrumenting a target is: avoid instrumenting shared +libraries at all cost. You would need to set LD_LIBRARY_PATH to point to +these, you could accidently type "make install" and install them system wide - +so don't. Really don't. +**Always compile libraries you want to have instrumented as static and link +these to the target program!** + +Then build the target. (Usually with `make`) + +**NOTES** + +1. sometimes configure and build systems are fickle and do not like + stderr output (and think this means a test failure) - which is something + AFL++ likes to do to show statistics. It is recommended to disable AFL++ + instrumentation reporting via `export AFL_QUIET=1`. + +2. sometimes configure and build systems error on warnings - these should be + disabled (e.g. `--disable-werror` for some configure scripts). + +3. in case the configure/build system complains about AFL++'s compiler and + aborts then set `export AFL_NOOPT=1` which will then just behave like the + real compiler. This option has to be unset again before building the target! + +##### configure + +For `configure` build systems this is usually done by: +`CC=afl-clang-fast CXX=afl-clang-fast++ ./configure --disable-shared` + +Note that if you are using the (better) afl-clang-lto compiler you also have to +set AR to llvm-ar[-VERSION] and RANLIB to llvm-ranlib[-VERSION] - as is +described in [instrumentation/README.lto.md](instrumentation/README.lto.md). + +##### cmake + +For `cmake` build systems this is usually done by: +`mkdir build; cd build; cmake -DCMAKE_C_COMPILER=afl-cc -DCMAKE_CXX_COMPILER=afl-c++ ..` + +Note that if you are using the (better) afl-clang-lto compiler you also have to +set AR to llvm-ar[-VERSION] and RANLIB to llvm-ranlib[-VERSION] - as is +described in [instrumentation/README.lto.md](instrumentation/README.lto.md). + +##### meson + +For meson you have to set the AFL++ compiler with the very first command! +`CC=afl-cc CXX=afl-c++ meson` + +##### other build systems or if configure/cmake didn't work + +Sometimes cmake and configure do not pick up the AFL++ compiler, or the +ranlib/ar that is needed - because this was just not foreseen by the developer +of the target. Or they have non-standard options. Figure out if there is a +non-standard way to set this, otherwise set up the build normally and edit the +generated build environment afterwards manually to point it to the right compiler +(and/or ranlib and ar). + +#### f) Better instrumentation + +If you just fuzz a target program as-is you are wasting a great opportunity for +much more fuzzing speed. + +This variant requires the usage of afl-clang-lto, afl-clang-fast or afl-gcc-fast. + +It is the so-called `persistent mode`, which is much, much faster but +requires that you code a source file that is specifically calling the target +functions that you want to fuzz, plus a few specific AFL++ functions around +it. See [instrumentation/README.persistent_mode.md](instrumentation/README.persistent_mode.md) for details. + +Basically if you do not fuzz a target in persistent mode then you are just +doing it for a hobby and not professionally :-). + +#### g) libfuzzer fuzzer harnesses with LLVMFuzzerTestOneInput() + +libfuzzer `LLVMFuzzerTestOneInput()` harnesses are the defacto standard +for fuzzing, and they can be used with AFL++ (and honggfuzz) as well! +Compiling them is as simple as: +``` +afl-clang-fast++ -fsanitize=fuzzer -o harness harness.cpp targetlib.a +``` +You can even use advanced libfuzzer features like `FuzzedDataProvider`, +`LLVMFuzzerMutate()` etc. and they will work! + +The generated binary is fuzzed with afl-fuzz like any other fuzz target. + +Bonus: the target is already optimized for fuzzing due to persistent mode and +shared-memory testcases and hence gives you the fastest speed possible. + +For more information see [utils/aflpp_driver/README.md](utils/aflpp_driver/README.md) + +### 2. Preparing the fuzzing campaign + +As you fuzz the target with mutated input, having as diverse inputs for the +target as possible improves the efficiency a lot. + +#### a) Collect inputs + +Try to gather valid inputs for the target from wherever you can. E.g. if it is +the PNG picture format try to find as many png files as possible, e.g. from +reported bugs, test suites, random downloads from the internet, unit test +case data - from all kind of PNG software. + +If the input format is not known, you can also modify a target program to write +normal data it receives and processes to a file and use these. + +#### b) Making the input corpus unique + +Use the AFL++ tool `afl-cmin` to remove inputs from the corpus that do not +produce a new path in the target. + +Put all files from step a) into one directory, e.g. INPUTS. + +If the target program is to be called by fuzzing as `bin/target -d INPUTFILE` +the run afl-cmin like this: +`afl-cmin -i INPUTS -o INPUTS_UNIQUE -- bin/target -d @@` +Note that the INPUTFILE argument that the target program would read from has to be set as `@@`. + +If the target reads from stdin instead, just omit the `@@` as this is the +default. + +This step is highly recommended! + +#### c) Minimizing all corpus files + +The shorter the input files that still traverse the same path +within the target, the better the fuzzing will be. This minimization +is done with `afl-tmin` however it is a long process as this has to +be done for every file: + +``` +mkdir input +cd INPUTS_UNIQUE +for i in *; do + afl-tmin -i "$i" -o "../input/$i" -- bin/target -d @@ +done +``` + +This step can also be parallelized, e.g. with `parallel`. +Note that this step is rather optional though. + +#### Done! + +The INPUTS_UNIQUE/ directory from step b) - or even better the directory input/ +if you minimized the corpus in step c) - is the resulting input corpus directory +to be used in fuzzing! :-) + +### 3. Fuzzing the target + +In this final step we fuzz the target. +There are not that many important options to run the target - unless you want +to use many CPU cores/threads for the fuzzing, which will make the fuzzing much +more useful. + +If you just use one CPU for fuzzing, then you are fuzzing just for fun and not +seriously :-) + +#### a) Running afl-fuzz + +Before you do even a test run of afl-fuzz execute `sudo afl-system-config` (on +the host if you execute afl-fuzz in a docker container). This reconfigures the +system for optimal speed - which afl-fuzz checks and bails otherwise. +Set `export AFL_SKIP_CPUFREQ=1` for afl-fuzz to skip this check if you cannot +run afl-system-config with root privileges on the host for whatever reason. + +Note there is also `sudo afl-persistent-config` which sets additional permanent +boot options for a much better fuzzing performance. + +Note that both scripts improve your fuzzing performance but also decrease your +system protection against attacks! So set strong firewall rules and only +expose SSH as a network service if you use these (which is highly recommended). + +If you have an input corpus from step 2 then specify this directory with the `-i` +option. Otherwise create a new directory and create a file with any content +as test data in there. + +If you do not want anything special, the defaults are already usually best, +hence all you need is to specify the seed input directory with the result of +step [2a. Collect inputs](#a-collect-inputs): +`afl-fuzz -i input -o output -- bin/target -d @@` +Note that the directory specified with -o will be created if it does not exist. + +It can be valuable to run afl-fuzz in a screen or tmux shell so you can log off, +or afl-fuzz is not aborted if you are running it in a remote ssh session where +the connection fails in between. +Only do that though once you have verified that your fuzzing setup works! +Simply run it like `screen -dmS afl-main -- afl-fuzz -M main-$HOSTNAME -i ...` +and it will start away in a screen session. To enter this session simply type +`screen -r afl-main`. You see - it makes sense to name the screen session +same as the afl-fuzz -M/-S naming :-) +For more information on screen or tmux please check their documentation. + +If you need to stop and re-start the fuzzing, use the same command line options +(or even change them by selecting a different power schedule or another +mutation mode!) and switch the input directory with a dash (`-`): +`afl-fuzz -i - -o output -- bin/target -d @@` + +Memory limits are not enforced by afl-fuzz by default and the system may run +out of memory. You can decrease the memory with the `-m` option, the value is +in MB. If this is too small for the target, you can usually see this by +afl-fuzz bailing with the message that it could not connect to the forkserver. + +Adding a dictionary is helpful. See the directory [dictionaries/](dictionaries/) if +something is already included for your data format, and tell afl-fuzz to load +that dictionary by adding `-x dictionaries/FORMAT.dict`. With afl-clang-lto +you have an autodictionary generation for which you need to do nothing except +to use afl-clang-lto as the compiler. You also have the option to generate +a dictionary yourself, see [utils/libtokencap/README.md](utils/libtokencap/README.md). + +afl-fuzz has a variety of options that help to workaround target quirks like +specific locations for the input file (`-f`), performing deterministic +fuzzing (`-D`) and many more. Check out `afl-fuzz -h`. + +We highly recommend that you set a memory limit for running the target with `-m` +which defines the maximum memory in MB. This prevents a potential +out-of-memory problem for your system plus helps you detect missing `malloc()` +failure handling in the target. +Play around with various -m values until you find one that safely works for all +your input seeds (if you have good ones and then double or quadrouple that. + +By default afl-fuzz never stops fuzzing. To terminate AFL++ simply press Control-C +or send a signal SIGINT. You can limit the number of executions or approximate runtime +in seconds with options also. + +When you start afl-fuzz you will see a user interface that shows what the status +is: +![resources/screenshot.png](resources/screenshot.png) + +All labels are explained in [status_screen.md](status_screen.md). + +#### b) Using multiple cores + +If you want to seriously fuzz then use as many cores/threads as possible to +fuzz your target. + +On the same machine - due to the design of how AFL++ works - there is a maximum +number of CPU cores/threads that are useful, use more and the overall performance +degrades instead. This value depends on the target, and the limit is between 32 +and 64 cores per machine. + +If you have the RAM, it is highly recommended run the instances with a caching +of the testcases. Depending on the average testcase size (and those found +during fuzzing) and their number, a value between 50-500MB is recommended. +You can set the cache size (in MB) by setting the environment variable `AFL_TESTCACHE_SIZE`. + +There should be one main fuzzer (`-M main-$HOSTNAME` option) and as many secondary +fuzzers (eg `-S variant1`) as you have cores that you use. +Every -M/-S entry needs a unique name (that can be whatever), however the same +-o output directory location has to be used for all instances. + +For every secondary fuzzer there should be a variation, e.g.: + * one should fuzz the target that was compiled differently: with sanitizers + activated (`export AFL_USE_ASAN=1 ; export AFL_USE_UBSAN=1 ; + export AFL_USE_CFISAN=1`) + * one or two should fuzz the target with CMPLOG/redqueen (see above), at + least one cmplog instance should follow transformations (`-l AT`) + * one to three fuzzers should fuzz a target compiled with laf-intel/COMPCOV + (see above). Important note: If you run more than one laf-intel/COMPCOV + fuzzer and you want them to share their intermediate results, the main + fuzzer (`-M`) must be one of the them! (Although this is not really + recommended.) + +All other secondaries should be used like this: + * A quarter to a third with the MOpt mutator enabled: `-L 0` + * run with a different power schedule, recommended are: + `fast (default), explore, coe, lin, quad, exploit and rare` + which you can set with e.g. `-p explore` + * a few instances should use the old queue cycling with `-Z` + +Also it is recommended to set `export AFL_IMPORT_FIRST=1` to load testcases +from other fuzzers in the campaign first. + +If you have a large corpus, a corpus from a previous run or are fuzzing in +a CI, then also set `export AFL_CMPLOG_ONLY_NEW=1` and `export AFL_FAST_CAL=1`. + +You can also use different fuzzers. +If you are using AFL spinoffs or AFL conforming fuzzers, then just use the +same -o directory and give it a unique `-S` name. +Examples are: + * [Fuzzolic](https://github.com/season-lab/fuzzolic) + * [symcc](https://github.com/eurecom-s/symcc/) + * [Eclipser](https://github.com/SoftSec-KAIST/Eclipser/) + * [AFLsmart](https://github.com/aflsmart/aflsmart) + * [FairFuzz](https://github.com/carolemieux/afl-rb) + * [Neuzz](https://github.com/Dongdongshe/neuzz) + * [Angora](https://github.com/AngoraFuzzer/Angora) + +A long list can be found at [https://github.com/Microsvuln/Awesome-AFL](https://github.com/Microsvuln/Awesome-AFL) + +However you can also sync AFL++ with honggfuzz, libfuzzer with `-entropic=1`, etc. +Just show the main fuzzer (-M) with the `-F` option where the queue/work +directory of a different fuzzer is, e.g. `-F /src/target/honggfuzz`. +Using honggfuzz (with `-n 1` or `-n 2`) and libfuzzer in parallel is highly +recommended! + +#### c) Using multiple machines for fuzzing + +Maybe you have more than one machine you want to fuzz the same target on. +Simply start the `afl-fuzz` (and perhaps libfuzzer, honggfuzz, ...) +orchestra as you like, just ensure that your have one and only one `-M` +instance per server, and that its name is unique, hence the recommendation +for `-M main-$HOSTNAME`. + +Now there are three strategies on how you can sync between the servers: + * never: sounds weird, but this makes every server an island and has the + chance the each follow different paths into the target. You can make + this even more interesting by even giving different seeds to each server. + * regularly (~4h): this ensures that all fuzzing campaigns on the servers + "see" the same thing. It is like fuzzing on a huge server. + * in intervals of 1/10th of the overall expected runtime of the fuzzing you + sync. This tries a bit to combine both. have some individuality of the + paths each campaign on a server explores, on the other hand if one + gets stuck where another found progress this is handed over making it + unstuck. + +The syncing process itself is very simple. +As the `-M main-$HOSTNAME` instance syncs to all `-S` secondaries as well +as to other fuzzers, you have to copy only this directory to the other +machines. + +Lets say all servers have the `-o out` directory in /target/foo/out, and +you created a file `servers.txt` which contains the hostnames of all +participating servers, plus you have an ssh key deployed to all of them, +then run: +```bash +for FROM in `cat servers.txt`; do + for TO in `cat servers.txt`; do + rsync -rlpogtz --rsh=ssh $FROM:/target/foo/out/main-$FROM $TO:target/foo/out/ + done +done +``` +You can run this manually, per cron job - as you need it. +There is a more complex and configurable script in `utils/distributed_fuzzing`. + +#### d) The status of the fuzz campaign + +AFL++ comes with the `afl-whatsup` script to show the status of the fuzzing +campaign. + +Just supply the directory that afl-fuzz is given with the -o option and +you will see a detailed status of every fuzzer in that campaign plus +a summary. + +To have only the summary use the `-s` switch e.g.: `afl-whatsup -s out/` + +If you have multiple servers then use the command after a sync, or you have +to execute this script per server. + +#### e) Stopping fuzzing, restarting fuzzing, adding new seeds + +To stop an afl-fuzz run, simply press Control-C. + +To restart an afl-fuzz run, just reuse the same command line but replace the +`-i directory` with `-i -` or set `AFL_AUTORESUME=1`. + +If you want to add new seeds to a fuzzing campaign you can run a temporary +fuzzing instance, e.g. when your main fuzzer is using `-o out` and the new +seeds are in `newseeds/` directory: +``` +AFL_BENCH_JUST_ONE=1 AFL_FAST_CAL=1 afl-fuzz -i newseeds -o out -S newseeds -- ./target +``` + +#### f) Checking the coverage of the fuzzing + +The `paths found` value is a bad indicator for checking how good the coverage is. + +A better indicator - if you use default llvm instrumentation with at least +version 9 - is to use `afl-showmap` with the collect coverage option `-C` on +the output directory: +``` +$ afl-showmap -C -i out -o /dev/null -- ./target -params @@ +... +[*] Using SHARED MEMORY FUZZING feature. +[*] Target map size: 9960 +[+] Processed 7849 input files. +[+] Captured 4331 tuples (highest value 255, total values 67130596) in '/dev/nul +l'. +[+] A coverage of 4331 edges were achieved out of 9960 existing (43.48%) with 7849 input files. +``` +It is even better to check out the exact lines of code that have been reached - +and which have not been found so far. + +An "easy" helper script for this is [https://github.com/vanhauser-thc/afl-cov](https://github.com/vanhauser-thc/afl-cov), +just follow the README of that separate project. + +If you see that an important area or a feature has not been covered so far then +try to find an input that is able to reach that and start a new secondary in +that fuzzing campaign with that seed as input, let it run for a few minutes, +then terminate it. The main node will pick it up and make it available to the +other secondary nodes over time. Set `export AFL_NO_AFFINITY=1` or +`export AFL_TRY_AFFINITY=1` if you have no free core. + +Note that in nearly all cases you can never reach full coverage. A lot of +functionality is usually dependent on exclusive options that would need individual +fuzzing campaigns each with one of these options set. E.g. if you fuzz a library to +convert image formats and your target is the png to tiff API then you will not +touch any of the other library APIs and features. + +#### g) How long to fuzz a target? + +This is a difficult question. +Basically if no new path is found for a long time (e.g. for a day or a week) +then you can expect that your fuzzing won't be fruitful anymore. +However often this just means that you should switch out secondaries for +others, e.g. custom mutator modules, sync to very different fuzzers, etc. + +Keep the queue/ directory (for future fuzzings of the same or similar targets) +and use them to seed other good fuzzers like libfuzzer with the -entropic +switch or honggfuzz. + +#### h) Improve the speed! + + * Use [persistent mode](instrumentation/README.persistent_mode.md) (x2-x20 speed increase) + * If you do not use shmem persistent mode, use `AFL_TMPDIR` to point the input file on a tempfs location, see [env_variables.md](env_variables.md) + * Linux: Improve kernel performance: modify `/etc/default/grub`, set `GRUB_CMDLINE_LINUX_DEFAULT="ibpb=off ibrs=off kpti=off l1tf=off mds=off mitigations=off no_stf_barrier noibpb noibrs nopcid nopti nospec_store_bypass_disable nospectre_v1 nospectre_v2 pcid=off pti=off spec_store_bypass_disable=off spectre_v2=off stf_barrier=off"`; then `update-grub` and `reboot` (warning: makes the system more insecure) - you can also just run `sudo afl-persistent-config` + * Linux: Running on an `ext2` filesystem with `noatime` mount option will be a bit faster than on any other journaling filesystem + * Use your cores! [3.b) Using multiple cores/threads](#b-using-multiple-coresthreads) + * Run `sudo afl-system-config` before starting the first afl-fuzz instance after a reboot + +### The End + +Check out the [FAQ](FAQ.md) if it maybe answers your question (that +you might not even have known you had ;-) ). + +This is basically all you need to know to professionally run fuzzing campaigns. +If you want to know more, the tons of texts in [docs/](./) will have you covered. + +Note that there are also a lot of tools out there that help fuzzing with AFL++ +(some might be deprecated or unsupported), see [links_tools.md](links_tools.md). \ No newline at end of file diff --git a/docs/fuzzing_binary-only_targets.md b/docs/fuzzing_binary-only_targets.md new file mode 100644 index 00000000..a39e40a0 --- /dev/null +++ b/docs/fuzzing_binary-only_targets.md @@ -0,0 +1,82 @@ +# Fuzzing binary-only targets + +When source code is *NOT* available, AFL++ offers various support for fast, +on-the-fly instrumentation of black-box binaries. + +If you do not have to use Unicorn the following setup is recommended to use +qemu_mode: + * run 1 afl-fuzz -Q instance with CMPLOG (`-c 0` + `AFL_COMPCOV_LEVEL=2`) + * run 1 afl-fuzz -Q instance with QASAN (`AFL_USE_QASAN=1`) + * run 1 afl-fuzz -Q instance with LAF (`AFL_PRELOAD=libcmpcov.so` + `AFL_COMPCOV_LEVEL=2`) +Alternatively you can use frida_mode, just switch `-Q` with `-O` and remove the +LAF instance. + +Then run as many instances as you have cores left with either -Q mode or - better - +use a binary rewriter like afl-dyninst, retrowrite, zafl, etc. + +For Qemu and Frida mode, check out the persistent mode, it gives a huge speed +improvement if it is possible to use. + +### QEMU + +For linux programs and its libraries this is accomplished with a version of +QEMU running in the lesser-known "user space emulation" mode. +QEMU is a project separate from AFL, but you can conveniently build the +feature by doing: + +```shell +cd qemu_mode +./build_qemu_support.sh +``` + +For additional instructions and caveats, see [qemu_mode/README.md](../qemu_mode/README.md). +If possible you should use the persistent mode, see [qemu_mode/README.persistent.md](../qemu_mode/README.persistent.md). +The mode is approximately 2-5x slower than compile-time instrumentation, and is +less conducive to parallelization. + +If [afl-dyninst](https://github.com/vanhauser-thc/afl-dyninst) works for +your binary, then you can use afl-fuzz normally and it will have twice +the speed compared to qemu_mode (but slower than qemu persistent mode). +Note that several other binary rewriters exist, all with their advantages and +caveats. + +### Frida + +Frida mode is sometimes faster and sometimes slower than Qemu mode. +It is also newer, lacks COMPCOV, but supports MacOS. + +```shell +cd frida_mode +make +``` + +For additional instructions and caveats, see [frida_mode/README.md](../frida_mode/README.md). +If possible you should use the persistent mode, see [qemu_frida/README.persistent.md](../qemu_frida/README.persistent.md). +The mode is approximately 2-5x slower than compile-time instrumentation, and is +less conducive to parallelization. + +### Unicorn + +For non-Linux binaries you can use AFL++'s unicorn mode which can emulate +anything you want - for the price of speed and user written scripts. +See [unicorn_mode/README.md](../unicorn_mode/README.md). + +It can be easily built by: +```shell +cd unicorn_mode +./build_unicorn_support.sh +``` + +### Shared libraries + +If the goal is to fuzz a dynamic library then there are two options available. +For both you need to write a small harness that loads and calls the library. +Faster is the frida solution: [utils/afl_frida/README.md](../utils/afl_frida/README.md) + +Another, less precise and slower option is using ptrace with debugger interrupt +instrumentation: [utils/afl_untracer/README.md](../utils/afl_untracer/README.md). + +### More + +A more comprehensive description of these and other options can be found in +[binaryonly_fuzzing.md](binaryonly_fuzzing.md). \ No newline at end of file diff --git a/docs/guided_fuzzing.md b/docs/guided_fuzzing.md new file mode 100644 index 00000000..44fd44a4 --- /dev/null +++ b/docs/guided_fuzzing.md @@ -0,0 +1,25 @@ +# Challenges of guided fuzzing + +Fuzzing is one of the most powerful and proven strategies for identifying +security issues in real-world software; it is responsible for the vast +majority of remote code execution and privilege escalation bugs found to date +in security-critical software. + +Unfortunately, fuzzing is also relatively shallow; blind, random mutations +make it very unlikely to reach certain code paths in the tested code, leaving +some vulnerabilities firmly outside the reach of this technique. + +There have been numerous attempts to solve this problem. One of the early +approaches - pioneered by Tavis Ormandy - is corpus distillation. The method +relies on coverage signals to select a subset of interesting seeds from a +massive, high-quality corpus of candidate files, and then fuzz them by +traditional means. The approach works exceptionally well but requires such +a corpus to be readily available. In addition, block coverage measurements +provide only a very simplistic understanding of the program state and are less +useful for guiding the fuzzing effort in the long haul. + +Other, more sophisticated research has focused on techniques such as program +flow analysis ("concolic execution"), symbolic execution, or static analysis. +All these methods are extremely promising in experimental settings, but tend +to suffer from reliability and performance problems in practical uses - and +currently do not offer a viable alternative to "dumb" fuzzing techniques. \ No newline at end of file diff --git a/docs/interpreting_output.md b/docs/interpreting_output.md new file mode 100644 index 00000000..54ad76df --- /dev/null +++ b/docs/interpreting_output.md @@ -0,0 +1,71 @@ +# Interpreting output + +See the [docs/status_screen.md](docs/status_screen.md) file for information on +how to interpret the displayed stats and monitor the health of the process. Be +sure to consult this file especially if any UI elements are highlighted in red. + +The fuzzing process will continue until you press Ctrl-C. At a minimum, you want +to allow the fuzzer to complete one queue cycle, which may take anywhere from a +couple of hours to a week or so. + +There are three subdirectories created within the output directory and updated +in real-time: + + - queue/ - test cases for every distinctive execution path, plus all the + starting files given by the user. This is the synthesized corpus + mentioned in section 2. + + Before using this corpus for any other purposes, you can shrink + it to a smaller size using the afl-cmin tool. The tool will find + a smaller subset of files offering equivalent edge coverage. + + - crashes/ - unique test cases that cause the tested program to receive a + fatal signal (e.g., SIGSEGV, SIGILL, SIGABRT). The entries are + grouped by the received signal. + + - hangs/ - unique test cases that cause the tested program to time out. The + default time limit before something is classified as a hang is + the larger of 1 second and the value of the -t parameter. + The value can be fine-tuned by setting AFL_HANG_TMOUT, but this + is rarely necessary. + +Crashes and hangs are considered "unique" if the associated execution paths +involve any state transitions not seen in previously-recorded faults. If a +single bug can be reached in multiple ways, there will be some count inflation +early in the process, but this should quickly taper off. + +The file names for crashes and hangs are correlated with the parent, non-faulting +queue entries. This should help with debugging. + +When you can't reproduce a crash found by afl-fuzz, the most likely cause is +that you are not setting the same memory limit as used by the tool. Try: + +```shell +LIMIT_MB=50 +( ulimit -Sv $[LIMIT_MB << 10]; /path/to/tested_binary ... ) +``` + +Change LIMIT_MB to match the -m parameter passed to afl-fuzz. On OpenBSD, +also change -Sv to -Sd. + +Any existing output directory can be also used to resume aborted jobs; try: + +```shell +./afl-fuzz -i- -o existing_output_dir [...etc...] +``` + +If you have gnuplot installed, you can also generate some pretty graphs for any +active fuzzing task using afl-plot. For an example of how this looks like, +see [http://lcamtuf.coredump.cx/afl/plot/](http://lcamtuf.coredump.cx/afl/plot/). + +You can also manually build and install afl-plot-ui, which is a helper utility +for showing the graphs generated by afl-plot in a graphical window using GTK. +You can build and install it as follows + +```shell +sudo apt install libgtk-3-0 libgtk-3-dev pkg-config +cd utils/plot_ui +make +cd ../../ +sudo make install +``` \ No newline at end of file diff --git a/docs/known_limitations.md b/docs/known_limitations.md new file mode 100644 index 00000000..deb539e2 --- /dev/null +++ b/docs/known_limitations.md @@ -0,0 +1,36 @@ +# Known limitations & areas for improvement + +Here are some of the most important caveats for AFL: + + - AFL++ detects faults by checking for the first spawned process dying due to + a signal (SIGSEGV, SIGABRT, etc). Programs that install custom handlers for + these signals may need to have the relevant code commented out. In the same + vein, faults in child processes spawned by the fuzzed target may evade + detection unless you manually add some code to catch that. + + - As with any other brute-force tool, the fuzzer offers limited coverage if + encryption, checksums, cryptographic signatures, or compression are used to + wholly wrap the actual data format to be tested. + + To work around this, you can comment out the relevant checks (see + utils/libpng_no_checksum/ for inspiration); if this is not possible, + you can also write a postprocessor, one of the hooks of custom mutators. + See [docs/custom_mutators.md](docs/custom_mutators.md) on how to use + `AFL_CUSTOM_MUTATOR_LIBRARY` + + - There are some unfortunate trade-offs with ASAN and 64-bit binaries. This + isn't due to any specific fault of afl-fuzz. + + - There is no direct support for fuzzing network services, background + daemons, or interactive apps that require UI interaction to work. You may + need to make simple code changes to make them behave in a more traditional + way. Preeny may offer a relatively simple option, too - see: + [https://github.com/zardus/preeny](https://github.com/zardus/preeny) + + Some useful tips for modifying network-based services can be also found at: + [https://www.fastly.com/blog/how-to-fuzz-server-american-fuzzy-lop](https://www.fastly.com/blog/how-to-fuzz-server-american-fuzzy-lop) + + - Occasionally, sentient machines rise against their creators. If this + happens to you, please consult [http://lcamtuf.coredump.cx/prep/](http://lcamtuf.coredump.cx/prep/). + +Beyond this, see [INSTALL.md](INSTALL.md) for platform-specific tips. \ No newline at end of file diff --git a/docs/links_examples_writeups.md b/docs/links_examples_writeups.md new file mode 100644 index 00000000..8f70045c --- /dev/null +++ b/docs/links_examples_writeups.md @@ -0,0 +1,26 @@ +# Links: examples and writeups + +Here are some good writeups to show how to effectively use AFL++: + +* [https://aflplus.plus/docs/tutorials/libxml2_tutorial/](https://aflplus.plus/docs/tutorials/libxml2_tutorial/) +* [https://bananamafia.dev/post/gb-fuzz/](https://bananamafia.dev/post/gb-fuzz/) +* [https://securitylab.github.com/research/fuzzing-challenges-solutions-1](https://securitylab.github.com/research/fuzzing-challenges-solutions-1) +* [https://securitylab.github.com/research/fuzzing-software-2](https://securitylab.github.com/research/fuzzing-software-2) +* [https://securitylab.github.com/research/fuzzing-sockets-FTP](https://securitylab.github.com/research/fuzzing-sockets-FTP) +* [https://securitylab.github.com/research/fuzzing-sockets-FreeRDP](https://securitylab.github.com/research/fuzzing-sockets-FreeRDP) +* [https://securitylab.github.com/research/fuzzing-apache-1](https://securitylab.github.com/research/fuzzing-apache-1) + +If you do not want to follow a tutorial but rather try an exercise type of +training, then we can highly recommend the following: + +* [https://github.com/antonio-morales/Fuzzing101](https://github.com/antonio-morales/Fuzzing101) + +If you are interested in fuzzing structured data (where you define what the +structure is), these links have you covered: + +* Superion for AFL++: [https://github.com/adrian-rt/superion-mutator](https://github.com/adrian-rt/superion-mutator) +* libprotobuf for AFL++: [https://github.com/P1umer/AFLplusplus-protobuf-mutator](https://github.com/P1umer/AFLplusplus-protobuf-mutator) +* libprotobuf raw: [https://github.com/bruce30262/libprotobuf-mutator_fuzzing_learning/tree/master/4_libprotobuf_aflpp_custom_mutator](https://github.com/bruce30262/libprotobuf-mutator_fuzzing_learning/tree/master/4_libprotobuf_aflpp_custom_mutator) +* libprotobuf for old AFL++ API: [https://github.com/thebabush/afl-libprotobuf-mutator](https://github.com/thebabush/afl-libprotobuf-mutator) + +If you find other good ones, please send them to us :-) \ No newline at end of file diff --git a/docs/links_tools.md b/docs/links_tools.md new file mode 100644 index 00000000..c544e18f --- /dev/null +++ b/docs/links_tools.md @@ -0,0 +1,33 @@ +# Links: tools that help fuzzing with AFL++ + +Speeding up fuzzing: + * [libfiowrapper](https://github.com/marekzmyslowski/libfiowrapper) - if the function you want to fuzz requires loading a file, this allows using the shared memory testcase feature :-) - recommended. + +Minimization of test cases: + * [afl-pytmin](https://github.com/ilsani/afl-pytmin) - a wrapper for afl-tmin that tries to speed up the process of minimization of a single test case by using many CPU cores. + * [afl-ddmin-mod](https://github.com/MarkusTeufelberger/afl-ddmin-mod) - a variation of afl-tmin based on the ddmin algorithm. + * [halfempty](https://github.com/googleprojectzero/halfempty) - is a fast utility for minimizing test cases by Tavis Ormandy based on parallelization. + +Distributed execution: + * [disfuzz-afl](https://github.com/MartijnB/disfuzz-afl) - distributed fuzzing for AFL. + * [AFLDFF](https://github.com/quantumvm/AFLDFF) - AFL distributed fuzzing framework. + * [afl-launch](https://github.com/bnagy/afl-launch) - a tool for the execution of many AFL instances. + * [afl-mothership](https://github.com/afl-mothership/afl-mothership) - management and execution of many synchronized AFL fuzzers on AWS cloud. + * [afl-in-the-cloud](https://github.com/abhisek/afl-in-the-cloud) - another script for running AFL in AWS. + +Deployment, management, monitoring, reporting + * [afl-utils](https://gitlab.com/rc0r/afl-utils) - a set of utilities for automatic processing/analysis of crashes and reducing the number of test cases. + * [afl-other-arch](https://github.com/shellphish/afl-other-arch) - is a set of patches and scripts for easily adding support for various non-x86 architectures for AFL. + * [afl-trivia](https://github.com/bnagy/afl-trivia) - a few small scripts to simplify the management of AFL. + * [afl-monitor](https://github.com/reflare/afl-monitor) - a script for monitoring AFL. + * [afl-manager](https://github.com/zx1340/afl-manager) - a web server on Python for managing multi-afl. + * [afl-remote](https://github.com/block8437/afl-remote) - a web server for the remote management of AFL instances. + * [afl-extras](https://github.com/fekir/afl-extras) - shell scripts to parallelize afl-tmin, startup, and data collection. + +Crash processing + * [afl-crash-analyzer](https://github.com/floyd-fuh/afl-crash-analyzer) - another crash analyzer for AFL. + * [fuzzer-utils](https://github.com/ThePatrickStar/fuzzer-utils) - a set of scripts for the analysis of results. + * [atriage](https://github.com/Ayrx/atriage) - a simple triage tool. + * [afl-kit](https://github.com/kcwu/afl-kit) - afl-cmin on Python. + * [AFLize](https://github.com/d33tah/aflize) - a tool that automatically generates builds of debian packages suitable for AFL. + * [afl-fid](https://github.com/FoRTE-Research/afl-fid) - a set of tools for working with input data. \ No newline at end of file diff --git a/docs/triaging_crashes.md b/docs/triaging_crashes.md new file mode 100644 index 00000000..1857c4b1 --- /dev/null +++ b/docs/triaging_crashes.md @@ -0,0 +1,46 @@ +# Triaging crashes + +The coverage-based grouping of crashes usually produces a small data set that +can be quickly triaged manually or with a very simple GDB or Valgrind script. +Every crash is also traceable to its parent non-crashing test case in the +queue, making it easier to diagnose faults. + +Having said that, it's important to acknowledge that some fuzzing crashes can be +difficult to quickly evaluate for exploitability without a lot of debugging and +code analysis work. To assist with this task, afl-fuzz supports a very unique +"crash exploration" mode enabled with the -C flag. + +In this mode, the fuzzer takes one or more crashing test cases as the input +and uses its feedback-driven fuzzing strategies to very quickly enumerate all +code paths that can be reached in the program while keeping it in the +crashing state. + +Mutations that do not result in a crash are rejected; so are any changes that +do not affect the execution path. + +The output is a small corpus of files that can be very rapidly examined to see +what degree of control the attacker has over the faulting address, or whether +it is possible to get past an initial out-of-bounds read - and see what lies +beneath. + +Oh, one more thing: for test case minimization, give afl-tmin a try. The tool +can be operated in a very simple way: + +```shell +./afl-tmin -i test_case -o minimized_result -- /path/to/program [...] +``` + +The tool works with crashing and non-crashing test cases alike. In the crash +mode, it will happily accept instrumented and non-instrumented binaries. In the +non-crashing mode, the minimizer relies on standard AFL++ instrumentation to make +the file simpler without altering the execution path. + +The minimizer accepts the -m, -t, -f and @@ syntax in a manner compatible with +afl-fuzz. + +Another tool in AFL++ is the afl-analyze tool. It takes an input +file, attempts to sequentially flip bytes, and observes the behavior of the +tested program. It then color-codes the input based on which sections appear to +be critical, and which are not; while not bulletproof, it can often offer quick +insights into complex file formats. More info about its operation can be found +near the end of [docs/technical_details.md](docs/technical_details.md). \ No newline at end of file -- cgit 1.4.1 From 0c1dcadfb4b807d5968f672f288b5d38e840e4cc Mon Sep 17 00:00:00 2001 From: llzmb <46303940+llzmb@users.noreply.github.com> Date: Sun, 15 Aug 2021 22:00:34 +0200 Subject: Update branches.md --- docs/branches.md | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) (limited to 'docs') diff --git a/docs/branches.md b/docs/branches.md index d191c4f6..1e4ebbb2 100644 --- a/docs/branches.md +++ b/docs/branches.md @@ -7,4 +7,4 @@ The following branches exist: * [dev](https://github.com/AFLplusplus/AFLplusplus/tree/dev): development state of AFL++ - bleeding edge and you might catch a checkout which does not compile or has a bug. *We only accept PRs in dev!!* * (any other): experimental branches to work on specific features or testing new functionality or changes. -For releases, please see the [Releases](https://github.com/AFLplusplus/AFLplusplus/releases) tab. Also take a look at the list of [major behaviour changes in AFL++](docs/behaviour_changes.md). \ No newline at end of file +For releases, please see the [Releases](https://github.com/AFLplusplus/AFLplusplus/releases) tab. Also take a look at the list of [major behaviour changes in AFL++](behaviour_changes.md). \ No newline at end of file -- cgit 1.4.1 From 4b3ba3e51adda9b179bf349bb7cb1664ea8995d9 Mon Sep 17 00:00:00 2001 From: llzmb <46303940+llzmb@users.noreply.github.com> Date: Sat, 7 Aug 2021 20:25:03 +0200 Subject: Edit FAQ Changes: - Edit FAQ. - Add history. - Add best practices. --- docs/FAQ.md | 150 +++++-------------------------------------------- docs/best_practices.md | 103 +++++++++++++++++++++++++++++++++ docs/history_afl++.md | 12 ++++ 3 files changed, 129 insertions(+), 136 deletions(-) create mode 100644 docs/best_practices.md create mode 100644 docs/history_afl++.md (limited to 'docs') diff --git a/docs/FAQ.md b/docs/FAQ.md index 0e816062..560f37bf 100644 --- a/docs/FAQ.md +++ b/docs/FAQ.md @@ -1,4 +1,7 @@ -# Frequently asked questions about AFL++ +# Frequently asked questions and troubleshooting + +If you find an interesting or important question missing, submit it via +[https://github.com/AFLplusplus/AFLplusplus/issues](https://github.com/AFLplusplus/AFLplusplus/issues). ## Contents @@ -11,30 +14,11 @@ * [Why is my stability below 100%?](#why-is-my-stability-below-100) * [How can I improve the stability value?](#how-can-i-improve-the-stability-value) -If you find an interesting or important question missing, submit it via -[https://github.com/AFLplusplus/AFLplusplus/issues](https://github.com/AFLplusplus/AFLplusplus/issues) - ## What is the difference between AFL and AFL++? -American Fuzzy Lop (AFL) was developed by Michał "lcamtuf" Zalewski starting in -2013/2014, and when he left Google end of 2017 he stopped developing it. - -At the end of 2019 the Google fuzzing team took over maintenance of AFL, however -it is only accepting PRs from the community and is not developing enhancements -anymore. +AFL++ is a superior fork to Google's AFL - more speed, more and better mutations, more and better instrumentation, custom module support, etc. -In the second quarter of 2019, 1 1/2 year later when no further development of -AFL had happened and it became clear there would none be coming, AFL++ -was born, where initially community patches were collected and applied -for bug fixes and enhancements. Then from various AFL spin-offs - mostly academic -research - features were integrated. This already resulted in a much advanced -AFL. - -Until the end of 2019 the AFL++ team had grown to four active developers which -then implemented their own research and features, making it now by far the most -flexible and feature rich guided fuzzer available as open source. -And in independent fuzzing benchmarks it is one of the best fuzzers available, -e.g. [Fuzzbench Report](https://www.fuzzbench.com/reports/2020-08-03/index.html) +For more information about the history of AFL++, see [docs/history_afl++.md](docs/history_afl++.md). ## I got a weird compile error from clang @@ -58,51 +42,21 @@ Solution: `git pull ; make clean install` of AFL++ ## How to improve the fuzzing speed? - 1. Use [llvm_mode](../instrumentation/README.llvm.md): afl-clang-lto (llvm >= 11) or afl-clang-fast (llvm >= 9 recommended) - 2. Use [persistent mode](../instrumentation/README.persistent_mode.md) (x2-x20 speed increase) - 3. Use the [AFL++ snapshot module](https://github.com/AFLplusplus/AFL-Snapshot-LKM) (x2 speed increase) - 4. If you do not use shmem persistent mode, use `AFL_TMPDIR` to put the input file directory on a tempfs location, see [docs/env_variables.md](docs/env_variables.md) - 5. Improve Linux kernel performance: modify `/etc/default/grub`, set `GRUB_CMDLINE_LINUX_DEFAULT="ibpb=off ibrs=off kpti=off l1tf=off mds=off mitigations=off no_stf_barrier noibpb noibrs nopcid nopti nospec_store_bypass_disable nospectre_v1 nospectre_v2 pcid=off pti=off spec_store_bypass_disable=off spectre_v2=off stf_barrier=off"`; then `update-grub` and `reboot` (warning: makes the system less secure) - 6. Running on an `ext2` filesystem with `noatime` mount option will be a bit faster than on any other journaling filesystem - 7. Use your cores! [README.md:3.b) Using multiple cores/threads](../README.md#b-using-multiple-coresthreads) - -## How do I fuzz a network service? +See [docs/best_practices.md#improving-speed](docs/best_practices.md#improving-speed). -The short answer is - you cannot, at least not "out of the box". +## How can I improve the stability value? -Using a network channel is inadequate for several reasons: -- it has a slow-down of x10-20 on the fuzzing speed -- it does not scale to fuzzing multiple instances easily, -- instead of one initial data packet often a back-and-forth interplay of packets is needed for stateful protocols (which is totally unsupported by most coverage aware fuzzers). +See [docs/best_practices.md#improving-stability](docs/best_practices.md#improving-stability). -The established method to fuzz network services is to modify the source code -to read from a file or stdin (fd 0) (or even faster via shared memory, combine -this with persistent mode [instrumentation/README.persistent_mode.md](../instrumentation/README.persistent_mode.md) -and you have a performance gain of x10 instead of a performance loss of over -x10 - that is a x100 difference!). +## How do I fuzz a network service? -If modifying the source is not an option (e.g. because you only have a binary -and perform binary fuzzing) you can also use a shared library with AFL_PRELOAD -to emulate the network. This is also much faster than the real network would be. -See [utils/socket_fuzzing/](../utils/socket_fuzzing/). +The short answer is - you cannot, at least not "out of the box". -There is an outdated AFL++ branch that implements networking if you are -desperate though: [https://github.com/AFLplusplus/AFLplusplus/tree/networking](https://github.com/AFLplusplus/AFLplusplus/tree/networking) - -however a better option is AFLnet ([https://github.com/aflnet/aflnet](https://github.com/aflnet/aflnet)) -which allows you to define network state with different type of data packets. +For more information, see [docs/best_practices.md#fuzzing-network-service](docs/best_practices.md#fuzzing-network-service). ## How do I fuzz a GUI program? -If the GUI program can read the fuzz data from a file (via the command line, -a fixed location or via an environment variable) without needing any user -interaction then it would be suitable for fuzzing. - -Otherwise it is not possible without modifying the source code - which is a -very good idea anyway as the GUI functionality is a huge CPU/time overhead -for the fuzzing. - -So create a new `main()` that just reads the test case and calls the -functionality for processing the input that the GUI program is using. +See [docs/best_practices.md#fuzzing-gui-program](docs/best_practices.md#fuzzing-gui-program). ## What is an "edge"? @@ -154,7 +108,7 @@ Stability is measured by how many percent of the edges in the target are path through the target every time. If that is the case, the stability is 100%. If however randomness happens, e.g. a thread reading other external data, -reaction to timing, etc. then in some of the re-executions with the same data +reaction to timing, etc., then in some of the re-executions with the same data the edge coverage result will be different accross runs. Those edges that change are then flagged "unstable". @@ -165,79 +119,3 @@ A value above 90% is usually fine and a value above 80% is also still ok, and even a value above 20% can still result in successful finds of bugs. However, it is recommended that for values below 90% or 80% you should take countermeasures to improve stability. - -## How can I improve the stability value? - -For fuzzing a 100% stable target that covers all edges is the best case. -A 90% stable target that covers all edges is however better than a 100% stable -target that ignores 10% of the edges. - -With instability you basically have a partial coverage loss on an edge, with -ignored functions you have a full loss on that edges. - -There are functions that are unstable, but also provide value to coverage, eg -init functions that use fuzz data as input for example. -If however a function that has nothing to do with the input data is the -source of instability, e.g. checking jitter, or is a hash map function etc. -then it should not be instrumented. - -To be able to exclude these functions (based on AFL++'s measured stability) -the following process will allow to identify functions with variable edges. - -Four steps are required to do this and it also requires quite some knowledge -of coding and/or disassembly and is effectively possible only with -afl-clang-fast PCGUARD and afl-clang-lto LTO instrumentation. - - 1. First step: Instrument to be able to find the responsible function(s). - - a) For LTO instrumented binaries this can be documented during compile - time, just set `export AFL_LLVM_DOCUMENT_IDS=/path/to/a/file`. - This file will have one assigned edge ID and the corresponding - function per line. - - b) For PCGUARD instrumented binaries it is much more difficult. Here you - can either modify the __sanitizer_cov_trace_pc_guard function in - instrumentation/afl-llvm-rt.o.c to write a backtrace to a file if the ID in - __afl_area_ptr[*guard] is one of the unstable edge IDs. - (Example code is already there). - Then recompile and reinstall llvm_mode and rebuild your target. - Run the recompiled target with afl-fuzz for a while and then check the - file that you wrote with the backtrace information. - Alternatively you can use `gdb` to hook __sanitizer_cov_trace_pc_guard_init - on start, check to which memory address the edge ID value is written - and set a write breakpoint to that address (`watch 0x.....`). - - c) in all other instrumentation types this is not possible. So just - recompile with the two mentioned above. This is just for - identifying the functions that have unstable edges. - - 2. Second step: Identify which edge ID numbers are unstable - - run the target with `export AFL_DEBUG=1` for a few minutes then terminate. - The out/fuzzer_stats file will then show the edge IDs that were identified - as unstable in the `var_bytes` entry. You can match these numbers - directly to the data you created in the first step. - Now you know which functions are responsible for the instability - - 3. Third step: create a text file with the filenames/functions - - Identify which source code files contain the functions that you need to - remove from instrumentation, or just specify the functions you want to - skip for instrumentation. Note that optimization might inline functions! - - Simply follow this document on how to do this: [instrumentation/README.instrument_list.md](../instrumentation/README.instrument_list.md) - If PCGUARD is used, then you need to follow this guide (needs llvm 12+!): - [http://clang.llvm.org/docs/SanitizerCoverage.html#partially-disabling-instrumentation](http://clang.llvm.org/docs/SanitizerCoverage.html#partially-disabling-instrumentation) - - Only exclude those functions from instrumentation that provide no value - for coverage - that is if it does not process any fuzz data directly - or indirectly (e.g. hash maps, thread management etc.). - If however a function directly or indirectly handles fuzz data then you - should not put the function in a deny instrumentation list and rather - live with the instability it comes with. - - 4. Fourth step: recompile the target - - Recompile, fuzz it, be happy :) - - This link explains this process for [Fuzzbench](https://github.com/google/fuzzbench/issues/677) diff --git a/docs/best_practices.md b/docs/best_practices.md new file mode 100644 index 00000000..e08ae6ab --- /dev/null +++ b/docs/best_practices.md @@ -0,0 +1,103 @@ +# Best practices + +## Improvements + +### Improving speed + + 1. Use [llvm_mode](../instrumentation/README.llvm.md): afl-clang-lto (llvm >= 11) or afl-clang-fast (llvm >= 9 recommended). + 2. Use [persistent mode](../instrumentation/README.persistent_mode.md) (x2-x20 speed increase). + 3. Use the [AFL++ snapshot module](https://github.com/AFLplusplus/AFL-Snapshot-LKM) (x2 speed increase). + 4. If you do not use shmem persistent mode, use `AFL_TMPDIR` to put the input file directory on a tempfs location, see [docs/env_variables.md](docs/env_variables.md). + 5. Improve Linux kernel performance: modify `/etc/default/grub`, set `GRUB_CMDLINE_LINUX_DEFAULT="ibpb=off ibrs=off kpti=off l1tf=off mds=off mitigations=off no_stf_barrier noibpb noibrs nopcid nopti nospec_store_bypass_disable nospectre_v1 nospectre_v2 pcid=off pti=off spec_store_bypass_disable=off spectre_v2=off stf_barrier=off"`; then `update-grub` and `reboot` (warning: makes the system less secure). + 6. Running on an `ext2` filesystem with `noatime` mount option will be a bit faster than on any other journaling filesystem. + 7. Use your cores! [README.md:3.b) Using multiple cores/threads](../README.md#b-using-multiple-coresthreads). + +### Improving stability + +For fuzzing a 100% stable target that covers all edges is the best case. +A 90% stable target that covers all edges is however better than a 100% stable target that ignores 10% of the edges. + +With instability, you basically have a partial coverage loss on an edge, with ignored functions you have a full loss on that edges. + +There are functions that are unstable, but also provide value to coverage, e.g., init functions that use fuzz data as input. +If however a function that has nothing to do with the input data is the source of instability, e.g., checking jitter, or is a hash map function etc., then it should not be instrumented. + +To be able to exclude these functions (based on AFL++'s measured stability), the following process will allow to identify functions with variable edges. + +Four steps are required to do this and it also requires quite some knowledge of coding and/or disassembly and is effectively possible only with `afl-clang-fast` `PCGUARD` and `afl-clang-lto` `LTO` instrumentation. + + 1. Instrument to be able to find the responsible function(s): + + a) For LTO instrumented binaries, this can be documented during compile time, just set `export AFL_LLVM_DOCUMENT_IDS=/path/to/a/file`. + This file will have one assigned edge ID and the corresponding function per line. + + b) For PCGUARD instrumented binaries, it is much more difficult. Here you can either modify the `__sanitizer_cov_trace_pc_guard` function in `instrumentation/afl-llvm-rt.o.c` to write a backtrace to a file if the ID in `__afl_area_ptr[*guard]` is one of the unstable edge IDs. + (Example code is already there). + Then recompile and reinstall `llvm_mode` and rebuild your target. + Run the recompiled target with `afl-fuzz` for a while and then check the file that you wrote with the backtrace information. + Alternatively, you can use `gdb` to hook `__sanitizer_cov_trace_pc_guard_init` on start, check to which memory address the edge ID value is written, and set a write breakpoint to that address (`watch 0x.....`). + + c) In other instrumentation types, this is not possible. + So just recompile with the two mentioned above. + This is just for identifying the functions that have unstable edges. + + 2. Identify which edge ID numbers are unstable. + + Run the target with `export AFL_DEBUG=1` for a few minutes then terminate. + The out/fuzzer_stats file will then show the edge IDs that were identified + as unstable in the `var_bytes` entry. You can match these numbers + directly to the data you created in the first step. + Now you know which functions are responsible for the instability + + 3. Create a text file with the filenames/functions + + Identify which source code files contain the functions that you need to remove from instrumentation, or just specify the functions you want to skip for instrumentation. + Note that optimization might inline functions! + + Follow this document on how to do this: [instrumentation/README.instrument_list.md](../instrumentation/README.instrument_list.md). + If `PCGUARD` is used, then you need to follow this guide (needs llvm 12+!): + [http://clang.llvm.org/docs/SanitizerCoverage.html#partially-disabling-instrumentation](http://clang.llvm.org/docs/SanitizerCoverage.html#partially-disabling-instrumentation) + + Only exclude those functions from instrumentation that provide no value for coverage - that is if it does not process any fuzz data directly or indirectly (e.g. hash maps, thread management etc.). + If however a function directly or indirectly handles fuzz data, then you should not put the function in a deny instrumentation list and rather live with the instability it comes with. + + 4. Recompile the target + + Recompile, fuzz it, be happy :) + + This link explains this process for [Fuzzbench](https://github.com/google/fuzzbench/issues/677). + +## Targets + +### Fuzzing a GUI program + +If the GUI program can read the fuzz data from a file (via the command line, a fixed location or via an environment variable) without needing any user interaction, then it would be suitable for fuzzing. + +Otherwise, it is not possible without modifying the source code - which is a very good idea anyway as the GUI functionality is a huge CPU/time overhead for the fuzzing. + +So create a new `main()` that just reads the test case and calls the functionality for processing the input that the GUI program is using. + +### Fuzzing a network service + +The short answer is - you cannot, at least not "out of the box". + +Using a network channel is inadequate for several reasons: +- it has a slow-down of x10-20 on the fuzzing speed +- it does not scale to fuzzing multiple instances easily, +- instead of one initial data packet often a back-and-forth interplay of packets is needed for stateful protocols (which is totally unsupported by most coverage aware fuzzers). + +The established method to fuzz network services is to modify the source code +to read from a file or stdin (fd 0) (or even faster via shared memory, combine +this with persistent mode [instrumentation/README.persistent_mode.md](../instrumentation/README.persistent_mode.md) +and you have a performance gain of x10 instead of a performance loss of over +x10 - that is a x100 difference!). + +If modifying the source is not an option (e.g. because you only have a binary +and perform binary fuzzing) you can also use a shared library with AFL_PRELOAD +to emulate the network. This is also much faster than the real network would be. +See [utils/socket_fuzzing/](../utils/socket_fuzzing/). + +There is an outdated AFL++ branch that implements networking if you are +desperate though: [https://github.com/AFLplusplus/AFLplusplus/tree/networking](https://github.com/AFLplusplus/AFLplusplus/tree/networking) - +however a better option is AFLnet ([https://github.com/aflnet/aflnet](https://github.com/aflnet/aflnet)) +which allows you to define network state with different type of data packets. \ No newline at end of file diff --git a/docs/history_afl++.md b/docs/history_afl++.md new file mode 100644 index 00000000..ff06a372 --- /dev/null +++ b/docs/history_afl++.md @@ -0,0 +1,12 @@ +# History of AFL++ + +American Fuzzy Lop (AFL) was developed by Michał "lcamtuf" Zalewski starting in 2013/2014, and when he left Google end of 2017 he stopped developing it. + +At the end of 2019, the Google fuzzing team took over maintenance of AFL, however it is only accepting PRs from the community and is not developing enhancements anymore. + +In the second quarter of 2019, 1 1/2 years later, when no further development of AFL had happened and it became clear there would none be coming, AFL++ was born, where initially community patches were collected and applied for bug fixes and enhancements. +Then from various AFL spin-offs - mostly academic research - features were integrated. +This already resulted in a much advanced AFL. + +Until the end of 2019, the AFL++ team had grown to four active developers which then implemented their own research and features, making it now by far the most flexible and feature rich guided fuzzer available as open source. +And in independent fuzzing benchmarks it is one of the best fuzzers available, e.g. [Fuzzbench Report](https://www.fuzzbench.com/reports/2020-08-03/index.html) \ No newline at end of file -- cgit 1.4.1 From 85a7195631f43fdbd337e6fedac53b0475353139 Mon Sep 17 00:00:00 2001 From: llzmb <46303940+llzmb@users.noreply.github.com> Date: Sun, 15 Aug 2021 21:01:27 +0200 Subject: Update FAQ.md --- docs/FAQ.md | 12 ++++++------ 1 file changed, 6 insertions(+), 6 deletions(-) (limited to 'docs') diff --git a/docs/FAQ.md b/docs/FAQ.md index 560f37bf..73b9992b 100644 --- a/docs/FAQ.md +++ b/docs/FAQ.md @@ -7,9 +7,9 @@ If you find an interesting or important question missing, submit it via * [What is the difference between AFL and AFL++?](#what-is-the-difference-between-afl-and-afl) * [I got a weird compile error from clang](#i-got-a-weird-compile-error-from-clang) - * [How to improve the fuzzing speed?](#how-to-improve-the-fuzzing-speed) - * [How do I fuzz a network service?](#how-do-i-fuzz-a-network-service) - * [How do I fuzz a GUI program?](#how-do-i-fuzz-a-gui-program) + * [How can I improve the fuzzing speed?](#how-can-i-improve-the-fuzzing-speed) + * [How can I fuzz a network service?](#how-can-i-fuzz-a-network-service) + * [How can I fuzz a GUI program?](#how-can-i-fuzz-a-gui-program) * [What is an edge?](#what-is-an-edge) * [Why is my stability below 100%?](#why-is-my-stability-below-100) * [How can I improve the stability value?](#how-can-i-improve-the-stability-value) @@ -40,7 +40,7 @@ package and because of that the AFL++ llvm plugins do not match anymore. Solution: `git pull ; make clean install` of AFL++ -## How to improve the fuzzing speed? +## How can I improve the fuzzing speed? See [docs/best_practices.md#improving-speed](docs/best_practices.md#improving-speed). @@ -48,13 +48,13 @@ See [docs/best_practices.md#improving-speed](docs/best_practices.md#improving-sp See [docs/best_practices.md#improving-stability](docs/best_practices.md#improving-stability). -## How do I fuzz a network service? +## How can I fuzz a network service? The short answer is - you cannot, at least not "out of the box". For more information, see [docs/best_practices.md#fuzzing-network-service](docs/best_practices.md#fuzzing-network-service). -## How do I fuzz a GUI program? +## How can I fuzz a GUI program? See [docs/best_practices.md#fuzzing-gui-program](docs/best_practices.md#fuzzing-gui-program). -- cgit 1.4.1 From 8948fdcf4c66ad2a5fa81dad46c5e46a12a798fb Mon Sep 17 00:00:00 2001 From: llzmb <46303940+llzmb@users.noreply.github.com> Date: Sun, 15 Aug 2021 21:19:44 +0200 Subject: Update FAQ.md --- docs/FAQ.md | 116 +++++++++++++++++++++++++++++++++++++----------------------- 1 file changed, 71 insertions(+), 45 deletions(-) (limited to 'docs') diff --git a/docs/FAQ.md b/docs/FAQ.md index 73b9992b..4b6b815f 100644 --- a/docs/FAQ.md +++ b/docs/FAQ.md @@ -1,64 +1,38 @@ -# Frequently asked questions and troubleshooting +# Frequently asked questions (FAQ) If you find an interesting or important question missing, submit it via [https://github.com/AFLplusplus/AFLplusplus/issues](https://github.com/AFLplusplus/AFLplusplus/issues). -## Contents +### General - * [What is the difference between AFL and AFL++?](#what-is-the-difference-between-afl-and-afl) - * [I got a weird compile error from clang](#i-got-a-weird-compile-error-from-clang) - * [How can I improve the fuzzing speed?](#how-can-i-improve-the-fuzzing-speed) - * [How can I fuzz a network service?](#how-can-i-fuzz-a-network-service) - * [How can I fuzz a GUI program?](#how-can-i-fuzz-a-gui-program) + * [What is the difference between afl and afl++?](#what-is-the-difference-between-afl-and-afl) * [What is an edge?](#what-is-an-edge) - * [Why is my stability below 100%?](#why-is-my-stability-below-100) - * [How can I improve the stability value?](#how-can-i-improve-the-stability-value) - -## What is the difference between AFL and AFL++? -AFL++ is a superior fork to Google's AFL - more speed, more and better mutations, more and better instrumentation, custom module support, etc. - -For more information about the history of AFL++, see [docs/history_afl++.md](docs/history_afl++.md). +### Targets -## I got a weird compile error from clang - -If you see this kind of error when trying to instrument a target with afl-cc/ -afl-clang-fast/afl-clang-lto: -``` -/prg/tmp/llvm-project/build/bin/clang-13: symbol lookup error: /usr/local/bin/../lib/afl//cmplog-instructions-pass.so: undefined symbol: _ZNK4llvm8TypeSizecvmEv -clang-13: error: unable to execute command: No such file or directory -clang-13: error: clang frontend command failed due to signal (use -v to see invocation) -clang version 13.0.0 (https://github.com/llvm/llvm-project 1d7cf550721c51030144f3cd295c5789d51c4aad) -Target: x86_64-unknown-linux-gnu -Thread model: posix -InstalledDir: /prg/tmp/llvm-project/build/bin -clang-13: note: diagnostic msg: -******************** -``` -Then this means that your OS updated the clang installation from an upgrade -package and because of that the AFL++ llvm plugins do not match anymore. - -Solution: `git pull ; make clean install` of AFL++ - -## How can I improve the fuzzing speed? + * [How can I fuzz a binary-only target?](#how-can-i-fuzz-a-binary-only-target) + * [How can I fuzz a network service?](#how-can-i-fuzz-a-network-service) + * [How can I fuzz a GUI program?](#how-can-i-fuzz-a-gui-program) -See [docs/best_practices.md#improving-speed](docs/best_practices.md#improving-speed). +### Performance -## How can I improve the stability value? + * [How can I improve the fuzzing speed?](#how-can-i-improve-the-fuzzing-speed) + * [Why is my stability below 100%?](#why-is-my-stability-below-100) + * [How can I improve the stability value?](#how-can-i-improve-the-stability-value) -See [docs/best_practices.md#improving-stability](docs/best_practices.md#improving-stability). +### Troubleshooting -## How can I fuzz a network service? + * [I got a weird compile error from clang](#i-got-a-weird-compile-error-from-clang) -The short answer is - you cannot, at least not "out of the box". +## Questions & answers -For more information, see [docs/best_practices.md#fuzzing-network-service](docs/best_practices.md#fuzzing-network-service). +### What is the difference between AFL and AFL++? -## How can I fuzz a GUI program? +AFL++ is a superior fork to Google's AFL - more speed, more and better mutations, more and better instrumentation, custom module support, etc. -See [docs/best_practices.md#fuzzing-gui-program](docs/best_practices.md#fuzzing-gui-program). +For more information about the history of AFL++, see [docs/history_afl++.md](docs/history_afl++.md). -## What is an "edge"? +### What is an "edge"? A program contains `functions`, `functions` contain the compiled machine code. The compiled machine code in a `function` can be in a single or many `basic blocks`. @@ -101,7 +75,31 @@ code example above): Every line between two blocks is an `edge`. Note that a few basic block loop to itself, this too would be an edge. -## Why is my stability below 100%? +### How can I fuzz a binary-only target? + +AFL++ is a great fuzzer if you have the source code available. + +However, if there is only the binary program and no source code available, then the standard non-instrumented mode is not effective. + +To learn how these binaries can be fuzzed, read [binaryonly_fuzzing.md](binaryonly_fuzzing.md). + +### How can I fuzz a network service? + +The short answer is - you cannot, at least not "out of the box". + +For more information on fuzzing network services, see [docs/best_practices.md#fuzzing-network-service](docs/best_practices.md#fuzzing-network-service). + +### How can I fuzz a GUI program? + +Not all GUI programs are suitable for fuzzing. If the GUI program can read the fuzz data from a file without needing any user interaction, then it would be suitable for fuzzing. + +For more information on fuzzing GUI programs, see [docs/best_practices.md#fuzzing-gui-program](docs/best_practices.md#fuzzing-gui-program). + +### How can I improve the fuzzing speed? + +There are a few things you can do to improve the fuzzing speed, see [docs/best_practices.md#improving-speed](docs/best_practices.md#improving-speed). + +### Why is my stability below 100%? Stability is measured by how many percent of the edges in the target are "stable". Sending the same input again and again should take the exact same @@ -119,3 +117,31 @@ A value above 90% is usually fine and a value above 80% is also still ok, and even a value above 20% can still result in successful finds of bugs. However, it is recommended that for values below 90% or 80% you should take countermeasures to improve stability. + +### How can I improve the stability value? + +This depends on the target and the instrumentation. + +For more information on stability and how to improve the stability value, see [docs/best_practices.md#improving-stability](docs/best_practices.md#improving-stability). + +### I got a weird compile error from clang + +If you see this kind of error when trying to instrument a target with afl-cc/ +afl-clang-fast/afl-clang-lto: + +``` +/prg/tmp/llvm-project/build/bin/clang-13: symbol lookup error: /usr/local/bin/../lib/afl//cmplog-instructions-pass.so: undefined symbol: _ZNK4llvm8TypeSizecvmEv +clang-13: error: unable to execute command: No such file or directory +clang-13: error: clang frontend command failed due to signal (use -v to see invocation) +clang version 13.0.0 (https://github.com/llvm/llvm-project 1d7cf550721c51030144f3cd295c5789d51c4aad) +Target: x86_64-unknown-linux-gnu +Thread model: posix +InstalledDir: /prg/tmp/llvm-project/build/bin +clang-13: note: diagnostic msg: +******************** +``` + +Then this means that your OS updated the clang installation from an upgrade +package and because of that the AFL++ llvm plugins do not match anymore. + +Solution: `git pull ; make clean install` of AFL++ \ No newline at end of file -- cgit 1.4.1 From 105454e51c975065a9c0f22d0f5fd21176f959a3 Mon Sep 17 00:00:00 2001 From: llzmb <46303940+llzmb@users.noreply.github.com> Date: Sun, 15 Aug 2021 21:31:44 +0200 Subject: Update best_practices.md --- docs/best_practices.md | 106 ++++++++++++++++++++++++++++--------------------- 1 file changed, 61 insertions(+), 45 deletions(-) (limited to 'docs') diff --git a/docs/best_practices.md b/docs/best_practices.md index e08ae6ab..6e514003 100644 --- a/docs/best_practices.md +++ b/docs/best_practices.md @@ -1,18 +1,69 @@ # Best practices +## Contents + +### Targets + + * [Fuzzing a GUI program](#fuzzing-a-gui-program) + * [Fuzzing a network service](#fuzzing-a-network-service) + +### Improvements + + * [Improving speed](#improving-speed) + * [Improving stability?](#improving-stability) + +## Targets + +### Fuzzing a binary-only target + +For a comprehensive guide, see [binaryonly_fuzzing.md](binaryonly_fuzzing.md). + +### Fuzzing a GUI program + +If the GUI program can read the fuzz data from a file (via the command line, a fixed location or via an environment variable) without needing any user interaction, then it would be suitable for fuzzing. + +Otherwise, it is not possible without modifying the source code - which is a very good idea anyway as the GUI functionality is a huge CPU/time overhead for the fuzzing. + +So create a new `main()` that just reads the test case and calls the functionality for processing the input that the GUI program is using. + +### Fuzzing a network service + +Fuzzing a network service does not work "out of the box". + +Using a network channel is inadequate for several reasons: +- it has a slow-down of x10-20 on the fuzzing speed +- it does not scale to fuzzing multiple instances easily, +- instead of one initial data packet often a back-and-forth interplay of packets is needed for stateful protocols (which is totally unsupported by most coverage aware fuzzers). + +The established method to fuzz network services is to modify the source code +to read from a file or stdin (fd 0) (or even faster via shared memory, combine +this with persistent mode [instrumentation/README.persistent_mode.md](../instrumentation/README.persistent_mode.md) +and you have a performance gain of x10 instead of a performance loss of over +x10 - that is a x100 difference!). + +If modifying the source is not an option (e.g. because you only have a binary +and perform binary fuzzing) you can also use a shared library with AFL_PRELOAD +to emulate the network. This is also much faster than the real network would be. +See [utils/socket_fuzzing/](../utils/socket_fuzzing/). + +There is an outdated AFL++ branch that implements networking if you are +desperate though: [https://github.com/AFLplusplus/AFLplusplus/tree/networking](https://github.com/AFLplusplus/AFLplusplus/tree/networking) - +however a better option is AFLnet ([https://github.com/aflnet/aflnet](https://github.com/aflnet/aflnet)) +which allows you to define network state with different type of data packets. + ## Improvements -### Improving speed +### Improving speed - 1. Use [llvm_mode](../instrumentation/README.llvm.md): afl-clang-lto (llvm >= 11) or afl-clang-fast (llvm >= 9 recommended). - 2. Use [persistent mode](../instrumentation/README.persistent_mode.md) (x2-x20 speed increase). - 3. Use the [AFL++ snapshot module](https://github.com/AFLplusplus/AFL-Snapshot-LKM) (x2 speed increase). - 4. If you do not use shmem persistent mode, use `AFL_TMPDIR` to put the input file directory on a tempfs location, see [docs/env_variables.md](docs/env_variables.md). - 5. Improve Linux kernel performance: modify `/etc/default/grub`, set `GRUB_CMDLINE_LINUX_DEFAULT="ibpb=off ibrs=off kpti=off l1tf=off mds=off mitigations=off no_stf_barrier noibpb noibrs nopcid nopti nospec_store_bypass_disable nospectre_v1 nospectre_v2 pcid=off pti=off spec_store_bypass_disable=off spectre_v2=off stf_barrier=off"`; then `update-grub` and `reboot` (warning: makes the system less secure). - 6. Running on an `ext2` filesystem with `noatime` mount option will be a bit faster than on any other journaling filesystem. - 7. Use your cores! [README.md:3.b) Using multiple cores/threads](../README.md#b-using-multiple-coresthreads). +1. Use [llvm_mode](../instrumentation/README.llvm.md): afl-clang-lto (llvm >= 11) or afl-clang-fast (llvm >= 9 recommended). +2. Use [persistent mode](../instrumentation/README.persistent_mode.md) (x2-x20 speed increase). +3. Use the [AFL++ snapshot module](https://github.com/AFLplusplus/AFL-Snapshot-LKM) (x2 speed increase). +4. If you do not use shmem persistent mode, use `AFL_TMPDIR` to put the input file directory on a tempfs location, see [docs/env_variables.md](docs/env_variables.md). +5. Improve Linux kernel performance: modify `/etc/default/grub`, set `GRUB_CMDLINE_LINUX_DEFAULT="ibpb=off ibrs=off kpti=off l1tf=off mds=off mitigations=off no_stf_barrier noibpb noibrs nopcid nopti nospec_store_bypass_disable nospectre_v1 nospectre_v2 pcid=off pti=off spec_store_bypass_disable=off spectre_v2=off stf_barrier=off"`; then `update-grub` and `reboot` (warning: makes the system less secure). +6. Running on an `ext2` filesystem with `noatime` mount option will be a bit faster than on any other journaling filesystem. +7. Use your cores! [README.md:3.b) Using multiple cores/threads](../README.md#b-using-multiple-coresthreads). -### Improving stability +### Improving stability For fuzzing a 100% stable target that covers all edges is the best case. A 90% stable target that covers all edges is however better than a 100% stable target that ignores 10% of the edges. @@ -65,39 +116,4 @@ Four steps are required to do this and it also requires quite some knowledge of Recompile, fuzz it, be happy :) - This link explains this process for [Fuzzbench](https://github.com/google/fuzzbench/issues/677). - -## Targets - -### Fuzzing a GUI program - -If the GUI program can read the fuzz data from a file (via the command line, a fixed location or via an environment variable) without needing any user interaction, then it would be suitable for fuzzing. - -Otherwise, it is not possible without modifying the source code - which is a very good idea anyway as the GUI functionality is a huge CPU/time overhead for the fuzzing. - -So create a new `main()` that just reads the test case and calls the functionality for processing the input that the GUI program is using. - -### Fuzzing a network service - -The short answer is - you cannot, at least not "out of the box". - -Using a network channel is inadequate for several reasons: -- it has a slow-down of x10-20 on the fuzzing speed -- it does not scale to fuzzing multiple instances easily, -- instead of one initial data packet often a back-and-forth interplay of packets is needed for stateful protocols (which is totally unsupported by most coverage aware fuzzers). - -The established method to fuzz network services is to modify the source code -to read from a file or stdin (fd 0) (or even faster via shared memory, combine -this with persistent mode [instrumentation/README.persistent_mode.md](../instrumentation/README.persistent_mode.md) -and you have a performance gain of x10 instead of a performance loss of over -x10 - that is a x100 difference!). - -If modifying the source is not an option (e.g. because you only have a binary -and perform binary fuzzing) you can also use a shared library with AFL_PRELOAD -to emulate the network. This is also much faster than the real network would be. -See [utils/socket_fuzzing/](../utils/socket_fuzzing/). - -There is an outdated AFL++ branch that implements networking if you are -desperate though: [https://github.com/AFLplusplus/AFLplusplus/tree/networking](https://github.com/AFLplusplus/AFLplusplus/tree/networking) - -however a better option is AFLnet ([https://github.com/aflnet/aflnet](https://github.com/aflnet/aflnet)) -which allows you to define network state with different type of data packets. \ No newline at end of file + This link explains this process for [Fuzzbench](https://github.com/google/fuzzbench/issues/677). \ No newline at end of file -- cgit 1.4.1 From b28b46daeb0933de3c887d5abb5f18abcb891ed5 Mon Sep 17 00:00:00 2001 From: llzmb <46303940+llzmb@users.noreply.github.com> Date: Mon, 16 Aug 2021 15:57:44 +0200 Subject: Update best_practices.md --- docs/best_practices.md | 3 ++- 1 file changed, 2 insertions(+), 1 deletion(-) (limited to 'docs') diff --git a/docs/best_practices.md b/docs/best_practices.md index 6e514003..23fa237d 100644 --- a/docs/best_practices.md +++ b/docs/best_practices.md @@ -4,13 +4,14 @@ ### Targets + * [Fuzzing a binary-only target](#fuzzing-a-binary-only-target) * [Fuzzing a GUI program](#fuzzing-a-gui-program) * [Fuzzing a network service](#fuzzing-a-network-service) ### Improvements * [Improving speed](#improving-speed) - * [Improving stability?](#improving-stability) + * [Improving stability](#improving-stability) ## Targets -- cgit 1.4.1 From e05519baf4fbefcc6cad65460da1d9ecf6024275 Mon Sep 17 00:00:00 2001 From: llzmb <46303940+llzmb@users.noreply.github.com> Date: Mon, 16 Aug 2021 21:00:05 +0200 Subject: Update FAQ.md --- docs/FAQ.md | 59 +++++++++++++++++++++++++++++------------------------------ 1 file changed, 29 insertions(+), 30 deletions(-) (limited to 'docs') diff --git a/docs/FAQ.md b/docs/FAQ.md index 4b6b815f..767f6fac 100644 --- a/docs/FAQ.md +++ b/docs/FAQ.md @@ -1,12 +1,13 @@ # Frequently asked questions (FAQ) If you find an interesting or important question missing, submit it via -[https://github.com/AFLplusplus/AFLplusplus/issues](https://github.com/AFLplusplus/AFLplusplus/issues). +[https://github.com/AFLplusplus/AFLplusplus/discussions](https://github.com/AFLplusplus/AFLplusplus/discussions). ### General - * [What is the difference between afl and afl++?](#what-is-the-difference-between-afl-and-afl) - * [What is an edge?](#what-is-an-edge) + * [What is the difference between AFL and AFL++?](#what-is-the-difference-between-afl-and-afl) + * [Where can I find tutorials?](#where-can-i-find-tutorials) + * [What is an "edge"?](#what-is-an-edge) ### Targets @@ -30,15 +31,18 @@ If you find an interesting or important question missing, submit it via AFL++ is a superior fork to Google's AFL - more speed, more and better mutations, more and better instrumentation, custom module support, etc. -For more information about the history of AFL++, see [docs/history_afl++.md](docs/history_afl++.md). +For more information about the history of AFL++, see [history_afl++.md](history_afl++.md). + +### Where can I find tutorials? + +We compiled a list of tutorials and exercises, see [links_examples_writeups.md](links_examples_writeups.md). ### What is an "edge"? A program contains `functions`, `functions` contain the compiled machine code. The compiled machine code in a `function` can be in a single or many `basic blocks`. -A `basic block` is the largest possible number of subsequent machine code -instructions that has exactly one entrypoint (which can be be entered by multiple other basic blocks) -and runs linearly without branching or jumping to other addresses (except at the end). +A `basic block` is the largest possible number of subsequent machine code instructions that has exactly one entrypoint (which can be be entered by multiple other basic blocks) and runs linearly without branching or jumping to other addresses (except at the end). + ``` function() { A: @@ -56,10 +60,11 @@ function() { return } ``` + Every code block between two jump locations is a `basic block`. -An `edge` is then the unique relationship between two directly connected `basic blocks` (from the -code example above): +An `edge` is then the unique relationship between two directly connected `basic blocks` (from the code example above): + ``` Block A | @@ -72,6 +77,7 @@ code example above): v Block E ``` + Every line between two blocks is an `edge`. Note that a few basic block loop to itself, this too would be an edge. @@ -87,47 +93,41 @@ To learn how these binaries can be fuzzed, read [binaryonly_fuzzing.md](binaryon The short answer is - you cannot, at least not "out of the box". -For more information on fuzzing network services, see [docs/best_practices.md#fuzzing-network-service](docs/best_practices.md#fuzzing-network-service). +For more information on fuzzing network services, see [best_practices.md#fuzzing-network-service](best_practices.md#fuzzing-network-service). ### How can I fuzz a GUI program? Not all GUI programs are suitable for fuzzing. If the GUI program can read the fuzz data from a file without needing any user interaction, then it would be suitable for fuzzing. -For more information on fuzzing GUI programs, see [docs/best_practices.md#fuzzing-gui-program](docs/best_practices.md#fuzzing-gui-program). +For more information on fuzzing GUI programs, see [best_practices.md#fuzzing-gui-program](best_practices.md#fuzzing-gui-program). ### How can I improve the fuzzing speed? -There are a few things you can do to improve the fuzzing speed, see [docs/best_practices.md#improving-speed](docs/best_practices.md#improving-speed). +There are a few things you can do to improve the fuzzing speed, see [best_practices.md#improving-speed](best_practices.md#improving-speed). ### Why is my stability below 100%? -Stability is measured by how many percent of the edges in the target are -"stable". Sending the same input again and again should take the exact same -path through the target every time. If that is the case, the stability is 100%. +Stability is measured by how many percent of the edges in the target are "stable". +Sending the same input again and again should take the exact same path through the target every time. +If that is the case, the stability is 100%. -If however randomness happens, e.g. a thread reading other external data, -reaction to timing, etc., then in some of the re-executions with the same data -the edge coverage result will be different accross runs. +If however randomness happens, e.g. a thread reading other external data, reaction to timing, etc., then in some of the re-executions with the same data the edge coverage result will be different accross runs. Those edges that change are then flagged "unstable". -The more "unstable" edges, the more difficult for AFL++ to identify valid new -paths. +The more "unstable" edges, the more difficult for AFL++ to identify valid new paths. -A value above 90% is usually fine and a value above 80% is also still ok, and -even a value above 20% can still result in successful finds of bugs. -However, it is recommended that for values below 90% or 80% you should take -countermeasures to improve stability. +A value above 90% is usually fine and a value above 80% is also still ok, and even a value above 20% can still result in successful finds of bugs. +However, it is recommended that for values below 90% or 80% you should take countermeasures to improve stability. ### How can I improve the stability value? This depends on the target and the instrumentation. -For more information on stability and how to improve the stability value, see [docs/best_practices.md#improving-stability](docs/best_practices.md#improving-stability). +For more information on stability and how to improve the stability value, see [best_practices.md#improving-stability](best_practices.md#improving-stability). ### I got a weird compile error from clang -If you see this kind of error when trying to instrument a target with afl-cc/ -afl-clang-fast/afl-clang-lto: +If you see this kind of error when trying to instrument a target with afl-cc/afl-clang-fast/afl-clang-lto: ``` /prg/tmp/llvm-project/build/bin/clang-13: symbol lookup error: /usr/local/bin/../lib/afl//cmplog-instructions-pass.so: undefined symbol: _ZNK4llvm8TypeSizecvmEv @@ -141,7 +141,6 @@ clang-13: note: diagnostic msg: ******************** ``` -Then this means that your OS updated the clang installation from an upgrade -package and because of that the AFL++ llvm plugins do not match anymore. +Then this means that your OS updated the clang installation from an upgrade package and because of that the AFL++ llvm plugins do not match anymore. -Solution: `git pull ; make clean install` of AFL++ \ No newline at end of file +Solution: `git pull ; make clean install` of AFL++. \ No newline at end of file -- cgit 1.4.1 From 4a88e17a26127ce39464dab7f98699fb4feb4def Mon Sep 17 00:00:00 2001 From: llzmb <46303940+llzmb@users.noreply.github.com> Date: Mon, 16 Aug 2021 21:32:43 +0200 Subject: Update FAQ.md --- docs/FAQ.md | 4 ++-- 1 file changed, 2 insertions(+), 2 deletions(-) (limited to 'docs') diff --git a/docs/FAQ.md b/docs/FAQ.md index 767f6fac..3577f3e0 100644 --- a/docs/FAQ.md +++ b/docs/FAQ.md @@ -93,13 +93,13 @@ To learn how these binaries can be fuzzed, read [binaryonly_fuzzing.md](binaryon The short answer is - you cannot, at least not "out of the box". -For more information on fuzzing network services, see [best_practices.md#fuzzing-network-service](best_practices.md#fuzzing-network-service). +For more information on fuzzing network services, see [best_practices.md#fuzzing-a-network-service](best_practices.md#fuzzing-a-network-service). ### How can I fuzz a GUI program? Not all GUI programs are suitable for fuzzing. If the GUI program can read the fuzz data from a file without needing any user interaction, then it would be suitable for fuzzing. -For more information on fuzzing GUI programs, see [best_practices.md#fuzzing-gui-program](best_practices.md#fuzzing-gui-program). +For more information on fuzzing GUI programs, see [best_practices.md#fuzzing-a-gui-program](best_practices.md#fuzzing-a-gui-program). ### How can I improve the fuzzing speed? -- cgit 1.4.1 From b9b497241b5432dac6662d6c063ab08a7de9b117 Mon Sep 17 00:00:00 2001 From: llzmb <46303940+llzmb@users.noreply.github.com> Date: Fri, 20 Aug 2021 14:47:15 +0200 Subject: Update docs/rpc_statsd.md Co-authored-by: Edouard SCHWEISGUTH --- docs/rpc_statsd.md | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) (limited to 'docs') diff --git a/docs/rpc_statsd.md b/docs/rpc_statsd.md index e7144c1d..63037bb0 100644 --- a/docs/rpc_statsd.md +++ b/docs/rpc_statsd.md @@ -4,7 +4,7 @@ With StatsD, Prometheus, and Grafana you can set up a tool chain for remote moni This enables you to create nice and readable dashboards containing all the information you need on your fuzzer instances. There is no need to write your own statistics parsing system, deploy and maintain it to all your instances, and sync with your graph rendering system. -Compared to the default integrated UI of AFL++, this can help you to visualize trends and the fuzzing state over time. You might be able to see when the fuzzing process has reached a state of no progress and visualize what are the "best strategies" for your targets (according to your own criteria). You can do so without logging into each instance manually. +Compared to the default integrated UI of AFL++, this can help you to visualize trends and the fuzzing state over time. You might be able to see when the fuzzing process has reached a state of no progress and visualize what are the "best strategies" for your targets (according to your own criteria). You can do so without logging into each instance individually. ![example visualization with Grafana](resources/statsd-grafana.png) -- cgit 1.4.1 From 64fbf973e074a05e4cbeb2171147fb84772bce32 Mon Sep 17 00:00:00 2001 From: llzmb <46303940+llzmb@users.noreply.github.com> Date: Fri, 20 Aug 2021 14:47:27 +0200 Subject: Update docs/rpc_statsd.md Co-authored-by: Edouard SCHWEISGUTH --- docs/rpc_statsd.md | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) (limited to 'docs') diff --git a/docs/rpc_statsd.md b/docs/rpc_statsd.md index 63037bb0..0f264341 100644 --- a/docs/rpc_statsd.md +++ b/docs/rpc_statsd.md @@ -10,7 +10,7 @@ Compared to the default integrated UI of AFL++, this can help you to visualize t This is an example visualization with Grafana. The dashboard can be imported with [this JSON template](resources/grafana-afl++.json). -## Afl++ metrics and StatsD +## AFL++ metrics and StatsD StatsD allows you to receive and aggregate metrics from a wide range of applications and retransmit them to a backend of your choice. -- cgit 1.4.1 From ec4cae448b10acc0a8c84fc75f298bfaed88195a Mon Sep 17 00:00:00 2001 From: llzmb <46303940+llzmb@users.noreply.github.com> Date: Sat, 28 Aug 2021 20:25:37 +0200 Subject: Edit README.md and related content Changes: - Fix links. - Add links. - Restructure content. --- README.md | 218 +++++++++++++++++++++++----------------- docs/QuickStartGuide.md | 50 --------- docs/cite.md | 23 ----- docs/fuzzing.md | 32 +++--- docs/links_examples_writeups.md | 26 ----- docs/links_tools.md | 33 ------ docs/tools.md | 33 ++++++ docs/tutorials.md | 26 +++++ 8 files changed, 201 insertions(+), 240 deletions(-) delete mode 100644 docs/QuickStartGuide.md delete mode 100644 docs/cite.md delete mode 100644 docs/links_examples_writeups.md delete mode 100644 docs/links_tools.md create mode 100644 docs/tools.md create mode 100644 docs/tutorials.md (limited to 'docs') diff --git a/README.md b/README.md index 7fb88740..f855c5b2 100644 --- a/README.md +++ b/README.md @@ -19,129 +19,163 @@ Originally developed by Michał "lcamtuf" Zalewski. AFL++ is a superior fork to Google's AFL - more speed, more and better mutations, more and better instrumentation, custom module support, etc. -For releases, please see the [Releases](https://github.com/AFLplusplus/AFLplusplus/releases) tab. Also take a look at the list of [major behaviour changes in AFL++](docs/behaviour_changes.md). - -If you want to use AFL++ for your academic work, check the [papers page](https://aflplus.plus/papers/) on the website. -To cite our work, look at [Cite.md](docs/cite.md). -For comparisons, use the fuzzbench `aflplusplus` setup, or use `afl-clang-fast` with `AFL_LLVM_CMPLOG=1`. - You are free to copy, modify, and distribute AFL++ with attribution under the terms of the Apache-2.0 License. See the [LICENSE](LICENSE) for details. -## Help wanted +## Getting started -We have several [to dos](TODO.md) and [ideas](docs/ideas.md) we would like to see in AFL++ to make it even better. -However, we already work on so many things that we do not have the time for all the big ideas. +Here is some information to get you started: -This can be your way to support and contribute to AFL++ - extend it to do something cool. - -For everyone who wants to contribute (and send pull requests), please read our [contributing guidelines](CONTRIBUTING.md) before your submit. - -Thank you to [everyone who contributed](#special-thanks). +* For releases, please see the [Releases](https://github.com/AFLplusplus/AFLplusplus/releases) tab and [branches](docs/branches.md). Also take a look at the list of [major behaviour changes in AFL++](docs/behaviour_changes.md). +* If you want to use AFL++ for your academic work, check the [papers page](https://aflplus.plus/papers/) on the website. +* To cite our work, look at the [Cite](#cite) section. +* For comparisons, use the fuzzbench `aflplusplus` setup, or use `afl-clang-fast` with `AFL_LLVM_CMPLOG=1`. You can find the `aflplusplus` default configuration on Google's [fuzzbench](https://github.com/google/fuzzbench/tree/master/fuzzers/aflplusplus). ## Building and installing AFL++ -To install AFL++ with everything compiled, use Docker: -* You can either use the [Dockerfile](Dockerfile) (which has gcc-10 and clang-11 - hence afl-clang-lto is available!) -* Or just pull directly from the Docker Hub: +To install AFL++ with everything compiled, pull the image directly from the Docker Hub: - ```shell - docker pull aflplusplus/aflplusplus - docker run -ti -v /location/of/your/target:/src aflplusplus/aflplusplus - ``` +```shell +docker pull aflplusplus/aflplusplus +docker run -ti -v /location/of/your/target:/src aflplusplus/aflplusplus +``` - This image is automatically generated when a push to the stable repo happens (see [docs/branches.md](docs/branches.md)). - You will find your target source code in `/src` in the container. +This image is automatically generated when a push to the stable repo happens (see [docs/branches.md](docs/branches.md)). +You will find your target source code in `/src` in the container. To build AFL++ yourself, continue at [docs/building_installing.md](docs/building_installing.md). -## Quickstart: Fuzzing with AFL++ +## Quick start: Fuzzing with AFL++ *NOTE: Before you start, please read about the [common sense risks of fuzzing](docs/common_sense_risks.md).* -This is a quickstart for fuzzing targets with the source code available. +This is a quick start for fuzzing targets with the source code available. To read about the process in detail, see [docs/fuzzing.md](docs/fuzzing.md). -To learn about fuzzing other target, see: +To learn about fuzzing other targets, see: * Binary-only targets: [docs/fuzzing_binary-only_targets.md](docs/fuzzing_binary-only_targets.md) * Network services: [docs/best_practices.md#fuzzing-a-network-service](docs/best_practices.md#fuzzing-a-network-service) * GUI programs: [docs/best_practices.md#fuzzing-a-gui-program](docs/best_practices.md#fuzzing-a-gui-program) -Step-by-step quickstart: +Step-by-step quick start: -*THIS SECTION IS WIP* +1. Compile the program or library to be fuzzed using `afl-cc`. +A common way to do this would be: -1. Instrumenting the target: - 1. Selecting a compiler. - 2. Instrumenting the target. -2. Preparing the fuzzing campaign. -3. Fuzzing the target: - 1. Running afl-fuzz. - 2. Stopping or restarting afl-fuzz or adding new seeds. -4. Monitoring. - 1. Checking the status. - 2. Checking the coverage. -5. Triaging crashes. + CC=/path/to/afl-cc CXX=/path/to/afl-c++ ./configure --disable-shared + make clean all -## Special thanks +2. Get a small but valid input file that makes sense to the program. +When fuzzing verbose syntax (SQL, HTTP, etc), create a dictionary as described in [dictionaries/README.md](../dictionaries/README.md), too. -Many of the improvements to the original AFL and AFL++ wouldn't be possible without feedback, bug reports, or patches from: +3. If the program reads from stdin, run `afl-fuzz` like so: -``` - Jann Horn Hanno Boeck - Felix Groebert Jakub Wilk - Richard W. M. Jones Alexander Cherepanov - Tom Ritter Hovik Manucharyan - Sebastian Roschke Eberhard Mattes - Padraig Brady Ben Laurie - @dronesec Luca Barbato - Tobias Ospelt Thomas Jarosch - Martin Carpenter Mudge Zatko - Joe Zbiciak Ryan Govostes - Michael Rash William Robinet - Jonathan Gray Filipe Cabecinhas - Nico Weber Jodie Cunningham - Andrew Griffiths Parker Thompson - Jonathan Neuschaefer Tyler Nighswander - Ben Nagy Samir Aguiar - Aidan Thornton Aleksandar Nikolich - Sam Hakim Laszlo Szekeres - David A. Wheeler Turo Lamminen - Andreas Stieger Richard Godbee - Louis Dassy teor2345 - Alex Moneger Dmitry Vyukov - Keegan McAllister Kostya Serebryany - Richo Healey Martijn Bogaard - rc0r Jonathan Foote - Christian Holler Dominique Pelle - Jacek Wielemborek Leo Barnes - Jeremy Barnes Jeff Trull - Guillaume Endignoux ilovezfs - Daniel Godas-Lopez Franjo Ivancic - Austin Seipp Daniel Komaromy - Daniel Binderman Jonathan Metzman - Vegard Nossum Jan Kneschke - Kurt Roeckx Marcel Boehme - Van-Thuan Pham Abhik Roychoudhury - Joshua J. Drake Toby Hutton - Rene Freingruber Sergey Davidoff - Sami Liedes Craig Young - Andrzej Jackowski Daniel Hodson - Nathan Voss Dominik Maier - Andrea Biondo Vincent Le Garrec - Khaled Yakdan Kuang-che Wu - Josephine Calliotte Konrad Welc - Thomas Rooijakkers David Carlier - Ruben ten Hove Joey Jiao - fuzzah -``` + ./afl-fuzz -i testcase_dir -o findings_dir -- \ + /path/to/tested/program [...program's cmdline...] -Thank you! -(For people sending pull requests - please add yourself to this list :-) + If the program takes input from a file, you can put `@@` in the program's command line; AFL will put an auto-generated file name in there for you. + +4. Investigate anything shown in red in the fuzzer UI by promptly consulting [docs/status_screen.md](docs/status_screen.md). ## Contact Questions? Concerns? Bug reports? * The contributors can be reached via [https://github.com/AFLplusplus/AFLplusplus](https://github.com/AFLplusplus/AFLplusplus). +* Take a look at our [FAQ](docs/faq.md). If you find an interesting or important question missing, submit it via +[https://github.com/AFLplusplus/AFLplusplus/discussions](https://github.com/AFLplusplus/AFLplusplus/discussions). * There is a mailing list for the AFL/AFL++ project ([browse archive](https://groups.google.com/group/afl-users)). To compare notes with other users or to get notified about major new features, send an email to . -* Or join the [Awesome Fuzzing](https://discord.gg/gCraWct) Discord server. \ No newline at end of file +* Or join the [Awesome Fuzzing](https://discord.gg/gCraWct) Discord server. + +## Help wanted + +We have several [ideas](docs/ideas.md) we would like to see in AFL++ to make it even better. +However, we already work on so many things that we do not have the time for all the big ideas. + +This can be your way to support and contribute to AFL++ - extend it to do something cool. + +For everyone who wants to contribute (and send pull requests), please read our [contributing guidelines](CONTRIBUTING.md) before your submit. + +## Special thanks + +Many of the improvements to the original AFL and AFL++ wouldn't be possible without feedback, bug reports, or patches from our contributors. + +Thank you! +(For people sending pull requests - please add yourself to this list :-) + +
+ + List of contributors + + ``` + Jann Horn Hanno Boeck + Felix Groebert Jakub Wilk + Richard W. M. Jones Alexander Cherepanov + Tom Ritter Hovik Manucharyan + Sebastian Roschke Eberhard Mattes + Padraig Brady Ben Laurie + @dronesec Luca Barbato + Tobias Ospelt Thomas Jarosch + Martin Carpenter Mudge Zatko + Joe Zbiciak Ryan Govostes + Michael Rash William Robinet + Jonathan Gray Filipe Cabecinhas + Nico Weber Jodie Cunningham + Andrew Griffiths Parker Thompson + Jonathan Neuschaefer Tyler Nighswander + Ben Nagy Samir Aguiar + Aidan Thornton Aleksandar Nikolich + Sam Hakim Laszlo Szekeres + David A. Wheeler Turo Lamminen + Andreas Stieger Richard Godbee + Louis Dassy teor2345 + Alex Moneger Dmitry Vyukov + Keegan McAllister Kostya Serebryany + Richo Healey Martijn Bogaard + rc0r Jonathan Foote + Christian Holler Dominique Pelle + Jacek Wielemborek Leo Barnes + Jeremy Barnes Jeff Trull + Guillaume Endignoux ilovezfs + Daniel Godas-Lopez Franjo Ivancic + Austin Seipp Daniel Komaromy + Daniel Binderman Jonathan Metzman + Vegard Nossum Jan Kneschke + Kurt Roeckx Marcel Boehme + Van-Thuan Pham Abhik Roychoudhury + Joshua J. Drake Toby Hutton + Rene Freingruber Sergey Davidoff + Sami Liedes Craig Young + Andrzej Jackowski Daniel Hodson + Nathan Voss Dominik Maier + Andrea Biondo Vincent Le Garrec + Khaled Yakdan Kuang-che Wu + Josephine Calliotte Konrad Welc + Thomas Rooijakkers David Carlier + Ruben ten Hove Joey Jiao + fuzzah + ``` + +
+ +## Cite + +If you use AFL++ in scientific work, consider citing [our paper](https://www.usenix.org/conference/woot20/presentation/fioraldi) presented at WOOT'20: + + Andrea Fioraldi, Dominik Maier, Heiko Eißfeldt, and Marc Heuse. “AFL++: Combining incremental steps of fuzzing research”. In 14th USENIX Workshop on Offensive Technologies (WOOT 20). USENIX Association, Aug. 2020. + +
+ +BibTeX + + ```bibtex + @inproceedings {AFLplusplus-Woot20, + author = {Andrea Fioraldi and Dominik Maier and Heiko Ei{\ss}feldt and Marc Heuse}, + title = {{AFL++}: Combining Incremental Steps of Fuzzing Research}, + booktitle = {14th {USENIX} Workshop on Offensive Technologies ({WOOT} 20)}, + year = {2020}, + publisher = {{USENIX} Association}, + month = aug, + } + ``` + +
\ No newline at end of file diff --git a/docs/QuickStartGuide.md b/docs/QuickStartGuide.md deleted file mode 100644 index 2d056ecf..00000000 --- a/docs/QuickStartGuide.md +++ /dev/null @@ -1,50 +0,0 @@ -# AFL quick start guide - -You should read [README.md](../README.md) - it's pretty short. If you really can't, here's -how to hit the ground running: - -1) Compile AFL with 'make'. If build fails, see [INSTALL.md](INSTALL.md) for tips. - -2) Find or write a reasonably fast and simple program that takes data from - a file or stdin, processes it in a test-worthy way, then exits cleanly. - If testing a network service, modify it to run in the foreground and read - from stdin. When fuzzing a format that uses checksums, comment out the - checksum verification code, too. - - If this is not possible (e.g. in -Q(emu) mode) then use - AFL_CUSTOM_MUTATOR_LIBRARY to calculate the values with your own library. - - The program must crash properly when a fault is encountered. Watch out for - custom SIGSEGV or SIGABRT handlers and background processes. For tips on - detecting non-crashing flaws, see section 11 in [README.md](README.md) . - -3) Compile the program / library to be fuzzed using afl-cc. A common way to - do this would be: - - CC=/path/to/afl-cc CXX=/path/to/afl-c++ ./configure --disable-shared - make clean all - -4) Get a small but valid input file that makes sense to the program. When - fuzzing verbose syntax (SQL, HTTP, etc), create a dictionary as described in - dictionaries/README.md, too. - -5) If the program reads from stdin, run 'afl-fuzz' like so: - - ./afl-fuzz -i testcase_dir -o findings_dir -- \ - /path/to/tested/program [...program's cmdline...] - - If the program takes input from a file, you can put @@ in the program's - command line; AFL will put an auto-generated file name in there for you. - -6) Investigate anything shown in red in the fuzzer UI by promptly consulting - [status_screen.md](status_screen.md). - -8) There is a basic docker build with 'docker build -t aflplusplus .' - -That's it. Sit back, relax, and - time permitting - try to skim through the -following files: - - - README.md - A general introduction to AFL, - - docs/perf_tips.md - Simple tips on how to fuzz more quickly, - - docs/status_screen.md - An explanation of the tidbits shown in the UI, - - docs/parallel_fuzzing.md - Advice on running AFL on multiple cores. diff --git a/docs/cite.md b/docs/cite.md deleted file mode 100644 index 603616e5..00000000 --- a/docs/cite.md +++ /dev/null @@ -1,23 +0,0 @@ -# Cite - -If you use AFLpluplus to compare to your work, please use either `afl-clang-lto` -or `afl-clang-fast` with `AFL_LLVM_CMPLOG=1` for building targets and -`afl-fuzz` with the command line option `-l 2` for fuzzing. -The most effective setup is the `aflplusplus` default configuration on Google's [fuzzbench](https://github.com/google/fuzzbench/tree/master/fuzzers/aflplusplus). - -If you use AFLplusplus in scientific work, consider citing [our paper](https://www.usenix.org/conference/woot20/presentation/fioraldi) presented at WOOT'20: - -+ Andrea Fioraldi, Dominik Maier, Heiko Eißfeldt, and Marc Heuse. “AFL++: Combining incremental steps of fuzzing research”. In 14th USENIX Workshop on Offensive Technologies (WOOT 20). USENIX Association, Aug. 2020. - -Bibtex: - -```bibtex -@inproceedings {AFLplusplus-Woot20, - author = {Andrea Fioraldi and Dominik Maier and Heiko Ei{\ss}feldt and Marc Heuse}, - title = {{AFL++}: Combining Incremental Steps of Fuzzing Research}, - booktitle = {14th {USENIX} Workshop on Offensive Technologies ({WOOT} 20)}, - year = {2020}, - publisher = {{USENIX} Association}, - month = aug, -} -``` \ No newline at end of file diff --git a/docs/fuzzing.md b/docs/fuzzing.md index b173847a..23b24ad0 100644 --- a/docs/fuzzing.md +++ b/docs/fuzzing.md @@ -51,9 +51,9 @@ anything below 9 is not recommended. Clickable README links for the chosen compiler: - * [LTO mode - afl-clang-lto](instrumentation/README.lto.md) - * [LLVM mode - afl-clang-fast](instrumentation/README.llvm.md) - * [GCC_PLUGIN mode - afl-gcc-fast](instrumentation/README.gcc_plugin.md) + * [LTO mode - afl-clang-lto](../instrumentation/README.lto.md) + * [LLVM mode - afl-clang-fast](../instrumentation/README.llvm.md) + * [GCC_PLUGIN mode - afl-gcc-fast](../instrumentation/README.gcc_plugin.md) * GCC/CLANG modes (afl-gcc/afl-clang) have no README as they have no own features You can select the mode for the afl-cc compiler by: @@ -79,7 +79,7 @@ The following options are available when you instrument with LTO mode (afl-clang and large input corpus. This technique is called laf-intel or COMPCOV. To use this set the following environment variable before compiling the target: `export AFL_LLVM_LAF_ALL=1` - You can read more about this in [instrumentation/README.laf-intel.md](instrumentation/README.laf-intel.md) + You can read more about this in [instrumentation/README.laf-intel.md](../instrumentation/README.laf-intel.md) * A different technique (and usually a better one than laf-intel) is to instrument the target so that any compare values in the target are sent to AFL++ which then tries to put these values into the fuzzing data at different @@ -91,7 +91,7 @@ The following options are available when you instrument with LTO mode (afl-clang via the `-c` parameter. Note that you can compile also just a cmplog binary and use that for both however there will be a performance penality. - You can read more about this in [instrumentation/README.cmplog.md](instrumentation/README.cmplog.md) + You can read more about this in [instrumentation/README.cmplog.md](../instrumentation/README.cmplog.md) If you use LTO, LLVM or GCC_PLUGIN mode (afl-clang-fast/afl-clang-lto/afl-gcc-fast) you have the option to selectively only instrument parts of the target that you @@ -108,16 +108,16 @@ are interested in: default to instrument unless noted (DENYLIST) or not perform instrumentation unless requested (ALLOWLIST). **NOTE:** During optimization functions might be inlined and then would not match! - See [instrumentation/README.instrument_list.md](instrumentation/README.instrument_list.md) + See [instrumentation/README.instrument_list.md](../instrumentation/README.instrument_list.md) There are many more options and modes available however these are most of the time less effective. See: - * [instrumentation/README.ctx.md](instrumentation/README.ctx.md) - * [instrumentation/README.ngram.md](instrumentation/README.ngram.md) + * [instrumentation/README.ctx.md](../instrumentation/README.ctx.md) + * [instrumentation/README.ngram.md](../instrumentation/README.ngram.md) AFL++ performs "never zero" counting in its bitmap. You can read more about this here: - * [instrumentation/README.neverzero.md](instrumentation/README.neverzero.md) + * [instrumentation/README.neverzero.md](../instrumentation/README.neverzero.md) #### c) Sanitizers @@ -225,7 +225,7 @@ For `configure` build systems this is usually done by: Note that if you are using the (better) afl-clang-lto compiler you also have to set AR to llvm-ar[-VERSION] and RANLIB to llvm-ranlib[-VERSION] - as is -described in [instrumentation/README.lto.md](instrumentation/README.lto.md). +described in [instrumentation/README.lto.md](../instrumentation/README.lto.md). ##### cmake @@ -234,7 +234,7 @@ For `cmake` build systems this is usually done by: Note that if you are using the (better) afl-clang-lto compiler you also have to set AR to llvm-ar[-VERSION] and RANLIB to llvm-ranlib[-VERSION] - as is -described in [instrumentation/README.lto.md](instrumentation/README.lto.md). +described in [instrumentation/README.lto.md](../instrumentation/README.lto.md). ##### meson @@ -260,7 +260,7 @@ This variant requires the usage of afl-clang-lto, afl-clang-fast or afl-gcc-fast It is the so-called `persistent mode`, which is much, much faster but requires that you code a source file that is specifically calling the target functions that you want to fuzz, plus a few specific AFL++ functions around -it. See [instrumentation/README.persistent_mode.md](instrumentation/README.persistent_mode.md) for details. +it. See [instrumentation/README.persistent_mode.md](../instrumentation/README.persistent_mode.md) for details. Basically if you do not fuzz a target in persistent mode then you are just doing it for a hobby and not professionally :-). @@ -281,7 +281,7 @@ The generated binary is fuzzed with afl-fuzz like any other fuzz target. Bonus: the target is already optimized for fuzzing due to persistent mode and shared-memory testcases and hence gives you the fastest speed possible. -For more information see [utils/aflpp_driver/README.md](utils/aflpp_driver/README.md) +For more information see [utils/aflpp_driver/README.md](../utils/aflpp_driver/README.md) ### 2. Preparing the fuzzing campaign @@ -394,12 +394,12 @@ out of memory. You can decrease the memory with the `-m` option, the value is in MB. If this is too small for the target, you can usually see this by afl-fuzz bailing with the message that it could not connect to the forkserver. -Adding a dictionary is helpful. See the directory [dictionaries/](dictionaries/) if +Adding a dictionary is helpful. See the directory [dictionaries/](../dictionaries/) if something is already included for your data format, and tell afl-fuzz to load that dictionary by adding `-x dictionaries/FORMAT.dict`. With afl-clang-lto you have an autodictionary generation for which you need to do nothing except to use afl-clang-lto as the compiler. You also have the option to generate -a dictionary yourself, see [utils/libtokencap/README.md](utils/libtokencap/README.md). +a dictionary yourself, see [utils/libtokencap/README.md](../utils/libtokencap/README.md). afl-fuzz has a variety of options that help to workaround target quirks like specific locations for the input file (`-f`), performing deterministic @@ -604,7 +604,7 @@ switch or honggfuzz. #### h) Improve the speed! - * Use [persistent mode](instrumentation/README.persistent_mode.md) (x2-x20 speed increase) + * Use [persistent mode](../instrumentation/README.persistent_mode.md) (x2-x20 speed increase) * If you do not use shmem persistent mode, use `AFL_TMPDIR` to point the input file on a tempfs location, see [env_variables.md](env_variables.md) * Linux: Improve kernel performance: modify `/etc/default/grub`, set `GRUB_CMDLINE_LINUX_DEFAULT="ibpb=off ibrs=off kpti=off l1tf=off mds=off mitigations=off no_stf_barrier noibpb noibrs nopcid nopti nospec_store_bypass_disable nospectre_v1 nospectre_v2 pcid=off pti=off spec_store_bypass_disable=off spectre_v2=off stf_barrier=off"`; then `update-grub` and `reboot` (warning: makes the system more insecure) - you can also just run `sudo afl-persistent-config` * Linux: Running on an `ext2` filesystem with `noatime` mount option will be a bit faster than on any other journaling filesystem diff --git a/docs/links_examples_writeups.md b/docs/links_examples_writeups.md deleted file mode 100644 index 8f70045c..00000000 --- a/docs/links_examples_writeups.md +++ /dev/null @@ -1,26 +0,0 @@ -# Links: examples and writeups - -Here are some good writeups to show how to effectively use AFL++: - -* [https://aflplus.plus/docs/tutorials/libxml2_tutorial/](https://aflplus.plus/docs/tutorials/libxml2_tutorial/) -* [https://bananamafia.dev/post/gb-fuzz/](https://bananamafia.dev/post/gb-fuzz/) -* [https://securitylab.github.com/research/fuzzing-challenges-solutions-1](https://securitylab.github.com/research/fuzzing-challenges-solutions-1) -* [https://securitylab.github.com/research/fuzzing-software-2](https://securitylab.github.com/research/fuzzing-software-2) -* [https://securitylab.github.com/research/fuzzing-sockets-FTP](https://securitylab.github.com/research/fuzzing-sockets-FTP) -* [https://securitylab.github.com/research/fuzzing-sockets-FreeRDP](https://securitylab.github.com/research/fuzzing-sockets-FreeRDP) -* [https://securitylab.github.com/research/fuzzing-apache-1](https://securitylab.github.com/research/fuzzing-apache-1) - -If you do not want to follow a tutorial but rather try an exercise type of -training, then we can highly recommend the following: - -* [https://github.com/antonio-morales/Fuzzing101](https://github.com/antonio-morales/Fuzzing101) - -If you are interested in fuzzing structured data (where you define what the -structure is), these links have you covered: - -* Superion for AFL++: [https://github.com/adrian-rt/superion-mutator](https://github.com/adrian-rt/superion-mutator) -* libprotobuf for AFL++: [https://github.com/P1umer/AFLplusplus-protobuf-mutator](https://github.com/P1umer/AFLplusplus-protobuf-mutator) -* libprotobuf raw: [https://github.com/bruce30262/libprotobuf-mutator_fuzzing_learning/tree/master/4_libprotobuf_aflpp_custom_mutator](https://github.com/bruce30262/libprotobuf-mutator_fuzzing_learning/tree/master/4_libprotobuf_aflpp_custom_mutator) -* libprotobuf for old AFL++ API: [https://github.com/thebabush/afl-libprotobuf-mutator](https://github.com/thebabush/afl-libprotobuf-mutator) - -If you find other good ones, please send them to us :-) \ No newline at end of file diff --git a/docs/links_tools.md b/docs/links_tools.md deleted file mode 100644 index c544e18f..00000000 --- a/docs/links_tools.md +++ /dev/null @@ -1,33 +0,0 @@ -# Links: tools that help fuzzing with AFL++ - -Speeding up fuzzing: - * [libfiowrapper](https://github.com/marekzmyslowski/libfiowrapper) - if the function you want to fuzz requires loading a file, this allows using the shared memory testcase feature :-) - recommended. - -Minimization of test cases: - * [afl-pytmin](https://github.com/ilsani/afl-pytmin) - a wrapper for afl-tmin that tries to speed up the process of minimization of a single test case by using many CPU cores. - * [afl-ddmin-mod](https://github.com/MarkusTeufelberger/afl-ddmin-mod) - a variation of afl-tmin based on the ddmin algorithm. - * [halfempty](https://github.com/googleprojectzero/halfempty) - is a fast utility for minimizing test cases by Tavis Ormandy based on parallelization. - -Distributed execution: - * [disfuzz-afl](https://github.com/MartijnB/disfuzz-afl) - distributed fuzzing for AFL. - * [AFLDFF](https://github.com/quantumvm/AFLDFF) - AFL distributed fuzzing framework. - * [afl-launch](https://github.com/bnagy/afl-launch) - a tool for the execution of many AFL instances. - * [afl-mothership](https://github.com/afl-mothership/afl-mothership) - management and execution of many synchronized AFL fuzzers on AWS cloud. - * [afl-in-the-cloud](https://github.com/abhisek/afl-in-the-cloud) - another script for running AFL in AWS. - -Deployment, management, monitoring, reporting - * [afl-utils](https://gitlab.com/rc0r/afl-utils) - a set of utilities for automatic processing/analysis of crashes and reducing the number of test cases. - * [afl-other-arch](https://github.com/shellphish/afl-other-arch) - is a set of patches and scripts for easily adding support for various non-x86 architectures for AFL. - * [afl-trivia](https://github.com/bnagy/afl-trivia) - a few small scripts to simplify the management of AFL. - * [afl-monitor](https://github.com/reflare/afl-monitor) - a script for monitoring AFL. - * [afl-manager](https://github.com/zx1340/afl-manager) - a web server on Python for managing multi-afl. - * [afl-remote](https://github.com/block8437/afl-remote) - a web server for the remote management of AFL instances. - * [afl-extras](https://github.com/fekir/afl-extras) - shell scripts to parallelize afl-tmin, startup, and data collection. - -Crash processing - * [afl-crash-analyzer](https://github.com/floyd-fuh/afl-crash-analyzer) - another crash analyzer for AFL. - * [fuzzer-utils](https://github.com/ThePatrickStar/fuzzer-utils) - a set of scripts for the analysis of results. - * [atriage](https://github.com/Ayrx/atriage) - a simple triage tool. - * [afl-kit](https://github.com/kcwu/afl-kit) - afl-cmin on Python. - * [AFLize](https://github.com/d33tah/aflize) - a tool that automatically generates builds of debian packages suitable for AFL. - * [afl-fid](https://github.com/FoRTE-Research/afl-fid) - a set of tools for working with input data. \ No newline at end of file diff --git a/docs/tools.md b/docs/tools.md new file mode 100644 index 00000000..ba96d0ce --- /dev/null +++ b/docs/tools.md @@ -0,0 +1,33 @@ +# Tools that help fuzzing with AFL++ + +Speeding up fuzzing: + * [libfiowrapper](https://github.com/marekzmyslowski/libfiowrapper) - if the function you want to fuzz requires loading a file, this allows using the shared memory testcase feature :-) - recommended. + +Minimization of test cases: + * [afl-pytmin](https://github.com/ilsani/afl-pytmin) - a wrapper for afl-tmin that tries to speed up the process of minimization of a single test case by using many CPU cores. + * [afl-ddmin-mod](https://github.com/MarkusTeufelberger/afl-ddmin-mod) - a variation of afl-tmin based on the ddmin algorithm. + * [halfempty](https://github.com/googleprojectzero/halfempty) - is a fast utility for minimizing test cases by Tavis Ormandy based on parallelization. + +Distributed execution: + * [disfuzz-afl](https://github.com/MartijnB/disfuzz-afl) - distributed fuzzing for AFL. + * [AFLDFF](https://github.com/quantumvm/AFLDFF) - AFL distributed fuzzing framework. + * [afl-launch](https://github.com/bnagy/afl-launch) - a tool for the execution of many AFL instances. + * [afl-mothership](https://github.com/afl-mothership/afl-mothership) - management and execution of many synchronized AFL fuzzers on AWS cloud. + * [afl-in-the-cloud](https://github.com/abhisek/afl-in-the-cloud) - another script for running AFL in AWS. + +Deployment, management, monitoring, reporting + * [afl-utils](https://gitlab.com/rc0r/afl-utils) - a set of utilities for automatic processing/analysis of crashes and reducing the number of test cases. + * [afl-other-arch](https://github.com/shellphish/afl-other-arch) - is a set of patches and scripts for easily adding support for various non-x86 architectures for AFL. + * [afl-trivia](https://github.com/bnagy/afl-trivia) - a few small scripts to simplify the management of AFL. + * [afl-monitor](https://github.com/reflare/afl-monitor) - a script for monitoring AFL. + * [afl-manager](https://github.com/zx1340/afl-manager) - a web server on Python for managing multi-afl. + * [afl-remote](https://github.com/block8437/afl-remote) - a web server for the remote management of AFL instances. + * [afl-extras](https://github.com/fekir/afl-extras) - shell scripts to parallelize afl-tmin, startup, and data collection. + +Crash processing + * [afl-crash-analyzer](https://github.com/floyd-fuh/afl-crash-analyzer) - another crash analyzer for AFL. + * [fuzzer-utils](https://github.com/ThePatrickStar/fuzzer-utils) - a set of scripts for the analysis of results. + * [atriage](https://github.com/Ayrx/atriage) - a simple triage tool. + * [afl-kit](https://github.com/kcwu/afl-kit) - afl-cmin on Python. + * [AFLize](https://github.com/d33tah/aflize) - a tool that automatically generates builds of debian packages suitable for AFL. + * [afl-fid](https://github.com/FoRTE-Research/afl-fid) - a set of tools for working with input data. \ No newline at end of file diff --git a/docs/tutorials.md b/docs/tutorials.md new file mode 100644 index 00000000..cc7ed130 --- /dev/null +++ b/docs/tutorials.md @@ -0,0 +1,26 @@ +# Tutorials + +Here are some good writeups to show how to effectively use AFL++: + +* [https://aflplus.plus/docs/tutorials/libxml2_tutorial/](https://aflplus.plus/docs/tutorials/libxml2_tutorial/) +* [https://bananamafia.dev/post/gb-fuzz/](https://bananamafia.dev/post/gb-fuzz/) +* [https://securitylab.github.com/research/fuzzing-challenges-solutions-1](https://securitylab.github.com/research/fuzzing-challenges-solutions-1) +* [https://securitylab.github.com/research/fuzzing-software-2](https://securitylab.github.com/research/fuzzing-software-2) +* [https://securitylab.github.com/research/fuzzing-sockets-FTP](https://securitylab.github.com/research/fuzzing-sockets-FTP) +* [https://securitylab.github.com/research/fuzzing-sockets-FreeRDP](https://securitylab.github.com/research/fuzzing-sockets-FreeRDP) +* [https://securitylab.github.com/research/fuzzing-apache-1](https://securitylab.github.com/research/fuzzing-apache-1) + +If you do not want to follow a tutorial but rather try an exercise type of +training, then we can highly recommend the following: + +* [https://github.com/antonio-morales/Fuzzing101](https://github.com/antonio-morales/Fuzzing101) + +If you are interested in fuzzing structured data (where you define what the +structure is), these links have you covered: + +* Superion for AFL++: [https://github.com/adrian-rt/superion-mutator](https://github.com/adrian-rt/superion-mutator) +* libprotobuf for AFL++: [https://github.com/P1umer/AFLplusplus-protobuf-mutator](https://github.com/P1umer/AFLplusplus-protobuf-mutator) +* libprotobuf raw: [https://github.com/bruce30262/libprotobuf-mutator_fuzzing_learning/tree/master/4_libprotobuf_aflpp_custom_mutator](https://github.com/bruce30262/libprotobuf-mutator_fuzzing_learning/tree/master/4_libprotobuf_aflpp_custom_mutator) +* libprotobuf for old AFL++ API: [https://github.com/thebabush/afl-libprotobuf-mutator](https://github.com/thebabush/afl-libprotobuf-mutator) + +If you find other good ones, please send them to us :-) \ No newline at end of file -- cgit 1.4.1 From 583b8e849bc78695d4fef0ccc61137df47439146 Mon Sep 17 00:00:00 2001 From: llzmb <46303940+llzmb@users.noreply.github.com> Date: Sat, 28 Aug 2021 20:41:17 +0200 Subject: Edit FAQ.md and related content --- docs/FAQ.md | 13 +++++++++++-- docs/history_afl++.md | 12 ------------ 2 files changed, 11 insertions(+), 14 deletions(-) delete mode 100644 docs/history_afl++.md (limited to 'docs') diff --git a/docs/FAQ.md b/docs/FAQ.md index 3577f3e0..20a876fe 100644 --- a/docs/FAQ.md +++ b/docs/FAQ.md @@ -31,11 +31,20 @@ If you find an interesting or important question missing, submit it via AFL++ is a superior fork to Google's AFL - more speed, more and better mutations, more and better instrumentation, custom module support, etc. -For more information about the history of AFL++, see [history_afl++.md](history_afl++.md). +American Fuzzy Lop (AFL) was developed by Michał "lcamtuf" Zalewski starting in 2013/2014, and when he left Google end of 2017 he stopped developing it. + +At the end of 2019, the Google fuzzing team took over maintenance of AFL, however it is only accepting PRs from the community and is not developing enhancements anymore. + +In the second quarter of 2019, 1 1/2 years later, when no further development of AFL had happened and it became clear there would none be coming, AFL++ was born, where initially community patches were collected and applied for bug fixes and enhancements. +Then from various AFL spin-offs - mostly academic research - features were integrated. +This already resulted in a much advanced AFL. + +Until the end of 2019, the AFL++ team had grown to four active developers which then implemented their own research and features, making it now by far the most flexible and feature rich guided fuzzer available as open source. +And in independent fuzzing benchmarks it is one of the best fuzzers available, e.g. [Fuzzbench Report](https://www.fuzzbench.com/reports/2020-08-03/index.html). ### Where can I find tutorials? -We compiled a list of tutorials and exercises, see [links_examples_writeups.md](links_examples_writeups.md). +We compiled a list of tutorials and exercises, see [tutorials.md](tutorials.md). ### What is an "edge"? diff --git a/docs/history_afl++.md b/docs/history_afl++.md deleted file mode 100644 index ff06a372..00000000 --- a/docs/history_afl++.md +++ /dev/null @@ -1,12 +0,0 @@ -# History of AFL++ - -American Fuzzy Lop (AFL) was developed by Michał "lcamtuf" Zalewski starting in 2013/2014, and when he left Google end of 2017 he stopped developing it. - -At the end of 2019, the Google fuzzing team took over maintenance of AFL, however it is only accepting PRs from the community and is not developing enhancements anymore. - -In the second quarter of 2019, 1 1/2 years later, when no further development of AFL had happened and it became clear there would none be coming, AFL++ was born, where initially community patches were collected and applied for bug fixes and enhancements. -Then from various AFL spin-offs - mostly academic research - features were integrated. -This already resulted in a much advanced AFL. - -Until the end of 2019, the AFL++ team had grown to four active developers which then implemented their own research and features, making it now by far the most flexible and feature rich guided fuzzer available as open source. -And in independent fuzzing benchmarks it is one of the best fuzzers available, e.g. [Fuzzbench Report](https://www.fuzzbench.com/reports/2020-08-03/index.html) \ No newline at end of file -- cgit 1.4.1 From d63afa5046a3236c81e215790a0b6ef73f3dfec7 Mon Sep 17 00:00:00 2001 From: llzmb <46303940+llzmb@users.noreply.github.com> Date: Fri, 3 Sep 2021 12:50:28 +0200 Subject: Update FAQ.md --- docs/FAQ.md | 244 ++++++++++++++++++++++++++++++------------------------------ 1 file changed, 121 insertions(+), 123 deletions(-) (limited to 'docs') diff --git a/docs/FAQ.md b/docs/FAQ.md index 20a876fe..71e9a92b 100644 --- a/docs/FAQ.md +++ b/docs/FAQ.md @@ -3,153 +3,151 @@ If you find an interesting or important question missing, submit it via [https://github.com/AFLplusplus/AFLplusplus/discussions](https://github.com/AFLplusplus/AFLplusplus/discussions). -### General - - * [What is the difference between AFL and AFL++?](#what-is-the-difference-between-afl-and-afl) - * [Where can I find tutorials?](#where-can-i-find-tutorials) - * [What is an "edge"?](#what-is-an-edge) - -### Targets - - * [How can I fuzz a binary-only target?](#how-can-i-fuzz-a-binary-only-target) - * [How can I fuzz a network service?](#how-can-i-fuzz-a-network-service) - * [How can I fuzz a GUI program?](#how-can-i-fuzz-a-gui-program) - -### Performance - - * [How can I improve the fuzzing speed?](#how-can-i-improve-the-fuzzing-speed) - * [Why is my stability below 100%?](#why-is-my-stability-below-100) - * [How can I improve the stability value?](#how-can-i-improve-the-stability-value) - -### Troubleshooting - - * [I got a weird compile error from clang](#i-got-a-weird-compile-error-from-clang) - -## Questions & answers - -### What is the difference between AFL and AFL++? - -AFL++ is a superior fork to Google's AFL - more speed, more and better mutations, more and better instrumentation, custom module support, etc. - -American Fuzzy Lop (AFL) was developed by Michał "lcamtuf" Zalewski starting in 2013/2014, and when he left Google end of 2017 he stopped developing it. - -At the end of 2019, the Google fuzzing team took over maintenance of AFL, however it is only accepting PRs from the community and is not developing enhancements anymore. - -In the second quarter of 2019, 1 1/2 years later, when no further development of AFL had happened and it became clear there would none be coming, AFL++ was born, where initially community patches were collected and applied for bug fixes and enhancements. -Then from various AFL spin-offs - mostly academic research - features were integrated. -This already resulted in a much advanced AFL. - -Until the end of 2019, the AFL++ team had grown to four active developers which then implemented their own research and features, making it now by far the most flexible and feature rich guided fuzzer available as open source. -And in independent fuzzing benchmarks it is one of the best fuzzers available, e.g. [Fuzzbench Report](https://www.fuzzbench.com/reports/2020-08-03/index.html). - -### Where can I find tutorials? - -We compiled a list of tutorials and exercises, see [tutorials.md](tutorials.md). - -### What is an "edge"? - -A program contains `functions`, `functions` contain the compiled machine code. -The compiled machine code in a `function` can be in a single or many `basic blocks`. -A `basic block` is the largest possible number of subsequent machine code instructions that has exactly one entrypoint (which can be be entered by multiple other basic blocks) and runs linearly without branching or jumping to other addresses (except at the end). - -``` -function() { - A: - some - code - B: - if (x) goto C; else goto D; - C: - some code - goto E - D: - some code - goto B - E: - return -} -``` - -Every code block between two jump locations is a `basic block`. - -An `edge` is then the unique relationship between two directly connected `basic blocks` (from the code example above): - -``` - Block A - | +## General + +
+ What is the difference between AFL and AFL++? + + AFL++ is a superior fork to Google's AFL - more speed, more and better mutations, more and better instrumentation, custom module support, etc. + + American Fuzzy Lop (AFL) was developed by Michał "lcamtuf" Zalewski starting in 2013/2014, and when he left Google end of 2017 he stopped developing it. + + At the end of 2019, the Google fuzzing team took over maintenance of AFL, however it is only accepting PRs from the community and is not developing enhancements anymore. + + In the second quarter of 2019, 1 1/2 years later, when no further development of AFL had happened and it became clear there would none be coming, AFL++ was born, where initially community patches were collected and applied for bug fixes and enhancements. + Then from various AFL spin-offs - mostly academic research - features were integrated. + This already resulted in a much advanced AFL. + + Until the end of 2019, the AFL++ team had grown to four active developers which then implemented their own research and features, making it now by far the most flexible and feature rich guided fuzzer available as open source. + And in independent fuzzing benchmarks it is one of the best fuzzers available, e.g. [Fuzzbench Report](https://www.fuzzbench.com/reports/2020-08-03/index.html). +
+ +
+ Where can I find tutorials? + + We compiled a list of tutorials and exercises, see [tutorials.md](tutorials.md). +
+ +
+ What is an "edge"? + + A program contains `functions`, `functions` contain the compiled machine code. + The compiled machine code in a `function` can be in a single or many `basic blocks`. + A `basic block` is the largest possible number of subsequent machine code instructions that has exactly one entrypoint (which can be be entered by multiple other basic blocks) and runs linearly without branching or jumping to other addresses (except at the end). + + ``` + function() { + A: + some + code + B: + if (x) goto C; else goto D; + C: + some code + goto E + D: + some code + goto B + E: + return + } + ``` + + Every code block between two jump locations is a `basic block`. + + An `edge` is then the unique relationship between two directly connected `basic blocks` (from the code example above): + + ``` + Block A + | + v + Block B <------+ + / \ | + v v | + Block C Block D --+ + \ v - Block B <------+ - / \ | - v v | - Block C Block D --+ - \ - v - Block E -``` + Block E + ``` + + Every line between two blocks is an `edge`. + Note that a few basic block loop to itself, this too would be an edge. +
-Every line between two blocks is an `edge`. -Note that a few basic block loop to itself, this too would be an edge. +## Targets -### How can I fuzz a binary-only target? +
+ How can I fuzz a binary-only target? -AFL++ is a great fuzzer if you have the source code available. + AFL++ is a great fuzzer if you have the source code available. -However, if there is only the binary program and no source code available, then the standard non-instrumented mode is not effective. + However, if there is only the binary program and no source code available, then the standard non-instrumented mode is not effective. -To learn how these binaries can be fuzzed, read [binaryonly_fuzzing.md](binaryonly_fuzzing.md). + To learn how these binaries can be fuzzed, read [binaryonly_fuzzing.md](binaryonly_fuzzing.md). +
-### How can I fuzz a network service? +
+ How can I fuzz a network service? -The short answer is - you cannot, at least not "out of the box". + The short answer is - you cannot, at least not "out of the box". -For more information on fuzzing network services, see [best_practices.md#fuzzing-a-network-service](best_practices.md#fuzzing-a-network-service). + For more information on fuzzing network services, see [best_practices.md#fuzzing-a-network-service](best_practices.md#fuzzing-a-network-service). +
-### How can I fuzz a GUI program? +
+ How can I fuzz a GUI program? -Not all GUI programs are suitable for fuzzing. If the GUI program can read the fuzz data from a file without needing any user interaction, then it would be suitable for fuzzing. + Not all GUI programs are suitable for fuzzing. If the GUI program can read the fuzz data from a file without needing any user interaction, then it would be suitable for fuzzing. -For more information on fuzzing GUI programs, see [best_practices.md#fuzzing-a-gui-program](best_practices.md#fuzzing-a-gui-program). + For more information on fuzzing GUI programs, see [best_practices.md#fuzzing-a-gui-program](best_practices.md#fuzzing-a-gui-program). +
-### How can I improve the fuzzing speed? +## Performance -There are a few things you can do to improve the fuzzing speed, see [best_practices.md#improving-speed](best_practices.md#improving-speed). +
+ How can I improve the fuzzing speed? -### Why is my stability below 100%? + There are a few things you can do to improve the fuzzing speed, see [best_practices.md#improving-speed](best_practices.md#improving-speed). +
-Stability is measured by how many percent of the edges in the target are "stable". -Sending the same input again and again should take the exact same path through the target every time. -If that is the case, the stability is 100%. +
+ Why is my stability below 100%? -If however randomness happens, e.g. a thread reading other external data, reaction to timing, etc., then in some of the re-executions with the same data the edge coverage result will be different accross runs. -Those edges that change are then flagged "unstable". + Stability is measured by how many percent of the edges in the target are "stable". + Sending the same input again and again should take the exact same path through the target every time. + If that is the case, the stability is 100%. -The more "unstable" edges, the more difficult for AFL++ to identify valid new paths. + If however randomness happens, e.g. a thread reading other external data, reaction to timing, etc., then in some of the re-executions with the same data the edge coverage result will be different accross runs. + Those edges that change are then flagged "unstable". -A value above 90% is usually fine and a value above 80% is also still ok, and even a value above 20% can still result in successful finds of bugs. -However, it is recommended that for values below 90% or 80% you should take countermeasures to improve stability. + The more "unstable" edges, the more difficult for AFL++ to identify valid new paths. -### How can I improve the stability value? + A value above 90% is usually fine and a value above 80% is also still ok, and even a value above 20% can still result in successful finds of bugs. + However, it is recommended that for values below 90% or 80% you should take countermeasures to improve stability. -This depends on the target and the instrumentation. + For more information on stability and how to improve the stability value, see [best_practices.md#improving-stability](best_practices.md#improving-stability). +
-For more information on stability and how to improve the stability value, see [best_practices.md#improving-stability](best_practices.md#improving-stability). +## Troubleshooting -### I got a weird compile error from clang +
+ I got a weird compile error from clang. -If you see this kind of error when trying to instrument a target with afl-cc/afl-clang-fast/afl-clang-lto: + If you see this kind of error when trying to instrument a target with afl-cc/afl-clang-fast/afl-clang-lto: -``` -/prg/tmp/llvm-project/build/bin/clang-13: symbol lookup error: /usr/local/bin/../lib/afl//cmplog-instructions-pass.so: undefined symbol: _ZNK4llvm8TypeSizecvmEv -clang-13: error: unable to execute command: No such file or directory -clang-13: error: clang frontend command failed due to signal (use -v to see invocation) -clang version 13.0.0 (https://github.com/llvm/llvm-project 1d7cf550721c51030144f3cd295c5789d51c4aad) -Target: x86_64-unknown-linux-gnu -Thread model: posix -InstalledDir: /prg/tmp/llvm-project/build/bin -clang-13: note: diagnostic msg: -******************** -``` + ``` + /prg/tmp/llvm-project/build/bin/clang-13: symbol lookup error: /usr/local/bin/../lib/afl//cmplog-instructions-pass.so: undefined symbol: _ZNK4llvm8TypeSizecvmEv + clang-13: error: unable to execute command: No such file or directory + clang-13: error: clang frontend command failed due to signal (use -v to see invocation) + clang version 13.0.0 (https://github.com/llvm/llvm-project 1d7cf550721c51030144f3cd295c5789d51c4aad) + Target: x86_64-unknown-linux-gnu + Thread model: posix + InstalledDir: /prg/tmp/llvm-project/build/bin + clang-13: note: diagnostic msg: + ******************** + ``` -Then this means that your OS updated the clang installation from an upgrade package and because of that the AFL++ llvm plugins do not match anymore. + Then this means that your OS updated the clang installation from an upgrade package and because of that the AFL++ llvm plugins do not match anymore. -Solution: `git pull ; make clean install` of AFL++. \ No newline at end of file + Solution: `git pull ; make clean install` of AFL++. +
\ No newline at end of file -- cgit 1.4.1 From 3f7c5f80fefc4ffa1aef4bd19220bbe94f328e25 Mon Sep 17 00:00:00 2001 From: llzmb <46303940+llzmb@users.noreply.github.com> Date: Fri, 3 Sep 2021 15:45:47 +0200 Subject: Update FAQ.md --- docs/FAQ.md | 36 ++++++++++++++++++------------------ 1 file changed, 18 insertions(+), 18 deletions(-) (limited to 'docs') diff --git a/docs/FAQ.md b/docs/FAQ.md index 71e9a92b..5da0bbcc 100644 --- a/docs/FAQ.md +++ b/docs/FAQ.md @@ -6,7 +6,7 @@ If you find an interesting or important question missing, submit it via ## General
- What is the difference between AFL and AFL++? + What is the difference between AFL and AFL++?

AFL++ is a superior fork to Google's AFL - more speed, more and better mutations, more and better instrumentation, custom module support, etc. @@ -20,16 +20,16 @@ If you find an interesting or important question missing, submit it via Until the end of 2019, the AFL++ team had grown to four active developers which then implemented their own research and features, making it now by far the most flexible and feature rich guided fuzzer available as open source. And in independent fuzzing benchmarks it is one of the best fuzzers available, e.g. [Fuzzbench Report](https://www.fuzzbench.com/reports/2020-08-03/index.html). -

+

- Where can I find tutorials? + Where can I find tutorials?

We compiled a list of tutorials and exercises, see [tutorials.md](tutorials.md). -

+

- What is an "edge"? + What is an "edge"?

A program contains `functions`, `functions` contain the compiled machine code. The compiled machine code in a `function` can be in a single or many `basic blocks`. @@ -72,46 +72,46 @@ If you find an interesting or important question missing, submit it via Every line between two blocks is an `edge`. Note that a few basic block loop to itself, this too would be an edge. -

+

## Targets
- How can I fuzz a binary-only target? + How can I fuzz a binary-only target?

AFL++ is a great fuzzer if you have the source code available. However, if there is only the binary program and no source code available, then the standard non-instrumented mode is not effective. To learn how these binaries can be fuzzed, read [binaryonly_fuzzing.md](binaryonly_fuzzing.md). -

+

- How can I fuzz a network service? + How can I fuzz a network service?

The short answer is - you cannot, at least not "out of the box". For more information on fuzzing network services, see [best_practices.md#fuzzing-a-network-service](best_practices.md#fuzzing-a-network-service). -

+

- How can I fuzz a GUI program? + How can I fuzz a GUI program?

Not all GUI programs are suitable for fuzzing. If the GUI program can read the fuzz data from a file without needing any user interaction, then it would be suitable for fuzzing. For more information on fuzzing GUI programs, see [best_practices.md#fuzzing-a-gui-program](best_practices.md#fuzzing-a-gui-program). -

+

## Performance
- How can I improve the fuzzing speed? + How can I improve the fuzzing speed?

There are a few things you can do to improve the fuzzing speed, see [best_practices.md#improving-speed](best_practices.md#improving-speed). -

+

- Why is my stability below 100%? + Why is my stability below 100%?

Stability is measured by how many percent of the edges in the target are "stable". Sending the same input again and again should take the exact same path through the target every time. @@ -126,12 +126,12 @@ If you find an interesting or important question missing, submit it via However, it is recommended that for values below 90% or 80% you should take countermeasures to improve stability. For more information on stability and how to improve the stability value, see [best_practices.md#improving-stability](best_practices.md#improving-stability). -

+

## Troubleshooting
- I got a weird compile error from clang. + I got a weird compile error from clang.

If you see this kind of error when trying to instrument a target with afl-cc/afl-clang-fast/afl-clang-lto: @@ -150,4 +150,4 @@ If you find an interesting or important question missing, submit it via Then this means that your OS updated the clang installation from an upgrade package and because of that the AFL++ llvm plugins do not match anymore. Solution: `git pull ; make clean install` of AFL++. -

\ No newline at end of file +

\ No newline at end of file -- cgit 1.4.1 From dc1f93cf8cc722ad291e8c3e7df55528b5d6a0e9 Mon Sep 17 00:00:00 2001 From: llzmb <46303940+llzmb@users.noreply.github.com> Date: Fri, 3 Sep 2021 17:08:28 +0200 Subject: Edit README.md and related content --- README.md | 3 +- docs/fuzzing.md | 623 ------------------------------------------------- docs/fuzzing_expert.md | 623 +++++++++++++++++++++++++++++++++++++++++++++++++ 3 files changed, 625 insertions(+), 624 deletions(-) delete mode 100644 docs/fuzzing.md create mode 100644 docs/fuzzing_expert.md (limited to 'docs') diff --git a/README.md b/README.md index f855c5b2..7a6098e5 100644 --- a/README.md +++ b/README.md @@ -29,6 +29,7 @@ Here is some information to get you started: * If you want to use AFL++ for your academic work, check the [papers page](https://aflplus.plus/papers/) on the website. * To cite our work, look at the [Cite](#cite) section. * For comparisons, use the fuzzbench `aflplusplus` setup, or use `afl-clang-fast` with `AFL_LLVM_CMPLOG=1`. You can find the `aflplusplus` default configuration on Google's [fuzzbench](https://github.com/google/fuzzbench/tree/master/fuzzers/aflplusplus). +* To get you started with tutorials, go to [docs/tutorials.md](docs/tutorials.md). ## Building and installing AFL++ @@ -49,7 +50,7 @@ To build AFL++ yourself, continue at [docs/building_installing.md](docs/building *NOTE: Before you start, please read about the [common sense risks of fuzzing](docs/common_sense_risks.md).* This is a quick start for fuzzing targets with the source code available. -To read about the process in detail, see [docs/fuzzing.md](docs/fuzzing.md). +To read about the process in detail, see [docs/fuzzing_expert.md](docs/fuzzing_expert.md). To learn about fuzzing other targets, see: * Binary-only targets: [docs/fuzzing_binary-only_targets.md](docs/fuzzing_binary-only_targets.md) diff --git a/docs/fuzzing.md b/docs/fuzzing.md deleted file mode 100644 index 23b24ad0..00000000 --- a/docs/fuzzing.md +++ /dev/null @@ -1,623 +0,0 @@ -# Fuzzing with AFL++ - -The following describes how to fuzz with a target if source code is available. -If you have a binary-only target please skip to [#Instrumenting binary-only apps](#Instrumenting binary-only apps) - -Fuzzing source code is a three-step process. - -1. Compile the target with a special compiler that prepares the target to be - fuzzed efficiently. This step is called "instrumenting a target". -2. Prepare the fuzzing by selecting and optimizing the input corpus for the - target. -3. Perform the fuzzing of the target by randomly mutating input and assessing - if a generated input was processed in a new path in the target binary. - -### 1. Instrumenting that target - -#### a) Selecting the best AFL++ compiler for instrumenting the target - -AFL++ comes with a central compiler `afl-cc` that incorporates various different -kinds of compiler targets and and instrumentation options. -The following evaluation flow will help you to select the best possible. - -It is highly recommended to have the newest llvm version possible installed, -anything below 9 is not recommended. - -``` -+--------------------------------+ -| clang/clang++ 11+ is available | --> use LTO mode (afl-clang-lto/afl-clang-lto++) -+--------------------------------+ see [instrumentation/README.lto.md](instrumentation/README.lto.md) - | - | if not, or if the target fails with LTO afl-clang-lto/++ - | - v -+---------------------------------+ -| clang/clang++ 3.8+ is available | --> use LLVM mode (afl-clang-fast/afl-clang-fast++) -+---------------------------------+ see [instrumentation/README.llvm.md](instrumentation/README.llvm.md) - | - | if not, or if the target fails with LLVM afl-clang-fast/++ - | - v - +--------------------------------+ - | gcc 5+ is available | -> use GCC_PLUGIN mode (afl-gcc-fast/afl-g++-fast) - +--------------------------------+ see [instrumentation/README.gcc_plugin.md](instrumentation/README.gcc_plugin.md) and - [instrumentation/README.instrument_list.md](instrumentation/README.instrument_list.md) - | - | if not, or if you do not have a gcc with plugin support - | - v - use GCC mode (afl-gcc/afl-g++) (or afl-clang/afl-clang++ for clang) -``` - -Clickable README links for the chosen compiler: - - * [LTO mode - afl-clang-lto](../instrumentation/README.lto.md) - * [LLVM mode - afl-clang-fast](../instrumentation/README.llvm.md) - * [GCC_PLUGIN mode - afl-gcc-fast](../instrumentation/README.gcc_plugin.md) - * GCC/CLANG modes (afl-gcc/afl-clang) have no README as they have no own features - -You can select the mode for the afl-cc compiler by: - 1. use a symlink to afl-cc: afl-gcc, afl-g++, afl-clang, afl-clang++, - afl-clang-fast, afl-clang-fast++, afl-clang-lto, afl-clang-lto++, - afl-gcc-fast, afl-g++-fast (recommended!) - 2. using the environment variable AFL_CC_COMPILER with MODE - 3. passing --afl-MODE command line options to the compiler via CFLAGS/CXXFLAGS/CPPFLAGS - -MODE can be one of: LTO (afl-clang-lto*), LLVM (afl-clang-fast*), GCC_PLUGIN -(afl-g*-fast) or GCC (afl-gcc/afl-g++) or CLANG(afl-clang/afl-clang++). - -Because no AFL specific command-line options are accepted (beside the ---afl-MODE command), the compile-time tools make fairly broad use of environment -variables, which can be listed with `afl-cc -hh` or by reading [env_variables.md](env_variables.md). - -#### b) Selecting instrumentation options - -The following options are available when you instrument with LTO mode (afl-clang-fast/afl-clang-lto): - - * Splitting integer, string, float and switch comparisons so AFL++ can easier - solve these. This is an important option if you do not have a very good - and large input corpus. This technique is called laf-intel or COMPCOV. - To use this set the following environment variable before compiling the - target: `export AFL_LLVM_LAF_ALL=1` - You can read more about this in [instrumentation/README.laf-intel.md](../instrumentation/README.laf-intel.md) - * A different technique (and usually a better one than laf-intel) is to - instrument the target so that any compare values in the target are sent to - AFL++ which then tries to put these values into the fuzzing data at different - locations. This technique is very fast and good - if the target does not - transform input data before comparison. Therefore this technique is called - `input to state` or `redqueen`. - If you want to use this technique, then you have to compile the target - twice, once specifically with/for this mode, and pass this binary to afl-fuzz - via the `-c` parameter. - Note that you can compile also just a cmplog binary and use that for both - however there will be a performance penality. - You can read more about this in [instrumentation/README.cmplog.md](../instrumentation/README.cmplog.md) - -If you use LTO, LLVM or GCC_PLUGIN mode (afl-clang-fast/afl-clang-lto/afl-gcc-fast) -you have the option to selectively only instrument parts of the target that you -are interested in: - - * To instrument only those parts of the target that you are interested in - create a file with all the filenames of the source code that should be - instrumented. - For afl-clang-lto and afl-gcc-fast - or afl-clang-fast if a mode other than - DEFAULT/PCGUARD is used or you have llvm > 10.0.0 - just put one - filename or function per line (no directory information necessary for - filenames9, and either set `export AFL_LLVM_ALLOWLIST=allowlist.txt` **or** - `export AFL_LLVM_DENYLIST=denylist.txt` - depending on if you want per - default to instrument unless noted (DENYLIST) or not perform instrumentation - unless requested (ALLOWLIST). - **NOTE:** During optimization functions might be inlined and then would not match! - See [instrumentation/README.instrument_list.md](../instrumentation/README.instrument_list.md) - -There are many more options and modes available however these are most of the -time less effective. See: - * [instrumentation/README.ctx.md](../instrumentation/README.ctx.md) - * [instrumentation/README.ngram.md](../instrumentation/README.ngram.md) - -AFL++ performs "never zero" counting in its bitmap. You can read more about this -here: - * [instrumentation/README.neverzero.md](../instrumentation/README.neverzero.md) - -#### c) Sanitizers - -It is possible to use sanitizers when instrumenting targets for fuzzing, -which allows you to find bugs that would not necessarily result in a crash. - -Note that sanitizers have a huge impact on CPU (= less executions per second) -and RAM usage. Also you should only run one afl-fuzz instance per sanitizer type. -This is enough because a use-after-free bug will be picked up, e.g. by -ASAN (address sanitizer) anyway when syncing to other fuzzing instances, -so not all fuzzing instances need to be instrumented with ASAN. - -The following sanitizers have built-in support in AFL++: - * ASAN = Address SANitizer, finds memory corruption vulnerabilities like - use-after-free, NULL pointer dereference, buffer overruns, etc. - Enabled with `export AFL_USE_ASAN=1` before compiling. - * MSAN = Memory SANitizer, finds read access to uninitialized memory, eg. - a local variable that is defined and read before it is even set. - Enabled with `export AFL_USE_MSAN=1` before compiling. - * UBSAN = Undefined Behaviour SANitizer, finds instances where - by the - C and C++ standards - undefined behaviour happens, e.g. adding two - signed integers together where the result is larger than a signed integer - can hold. - Enabled with `export AFL_USE_UBSAN=1` before compiling. - * CFISAN = Control Flow Integrity SANitizer, finds instances where the - control flow is found to be illegal. Originally this was rather to - prevent return oriented programming exploit chains from functioning, - in fuzzing this is mostly reduced to detecting type confusion - vulnerabilities - which is however one of the most important and dangerous - C++ memory corruption classes! - Enabled with `export AFL_USE_CFISAN=1` before compiling. - * LSAN = Leak SANitizer, finds memory leaks in a program. This is not really - a security issue, but for developers this can be very valuable. - Note that unlike the other sanitizers above this needs - `__AFL_LEAK_CHECK();` added to all areas of the target source code where you - find a leak check necessary! - Enabled with `export AFL_USE_LSAN=1` before compiling. - -It is possible to further modify the behaviour of the sanitizers at run-time -by setting `ASAN_OPTIONS=...`, `LSAN_OPTIONS` etc. - the available parameters -can be looked up in the sanitizer documentation of llvm/clang. -afl-fuzz however requires some specific parameters important for fuzzing to be -set. If you want to set your own, it might bail and report what it is missing. - -Note that some sanitizers cannot be used together, e.g. ASAN and MSAN, and -others often cannot work together because of target weirdness, e.g. ASAN and -CFISAN. You might need to experiment which sanitizers you can combine in a -target (which means more instances can be run without a sanitized target, -which is more effective). - -#### d) Modify the target - -If the target has features that make fuzzing more difficult, e.g. -checksums, HMAC, etc. then modify the source code so that checks for these -values are removed. -This can even be done safely for source code used in operational products -by eliminating these checks within these AFL specific blocks: - -``` -#ifdef FUZZING_BUILD_MODE_UNSAFE_FOR_PRODUCTION - // say that the checksum or HMAC was fine - or whatever is required - // to eliminate the need for the fuzzer to guess the right checksum - return 0; -#endif -``` - -All AFL++ compilers will set this preprocessor definition automatically. - -#### e) Instrument the target - -In this step the target source code is compiled so that it can be fuzzed. - -Basically you have to tell the target build system that the selected AFL++ -compiler is used. Also - if possible - you should always configure the -build system such that the target is compiled statically and not dynamically. -How to do this is described below. - -The #1 rule when instrumenting a target is: avoid instrumenting shared -libraries at all cost. You would need to set LD_LIBRARY_PATH to point to -these, you could accidently type "make install" and install them system wide - -so don't. Really don't. -**Always compile libraries you want to have instrumented as static and link -these to the target program!** - -Then build the target. (Usually with `make`) - -**NOTES** - -1. sometimes configure and build systems are fickle and do not like - stderr output (and think this means a test failure) - which is something - AFL++ likes to do to show statistics. It is recommended to disable AFL++ - instrumentation reporting via `export AFL_QUIET=1`. - -2. sometimes configure and build systems error on warnings - these should be - disabled (e.g. `--disable-werror` for some configure scripts). - -3. in case the configure/build system complains about AFL++'s compiler and - aborts then set `export AFL_NOOPT=1` which will then just behave like the - real compiler. This option has to be unset again before building the target! - -##### configure - -For `configure` build systems this is usually done by: -`CC=afl-clang-fast CXX=afl-clang-fast++ ./configure --disable-shared` - -Note that if you are using the (better) afl-clang-lto compiler you also have to -set AR to llvm-ar[-VERSION] and RANLIB to llvm-ranlib[-VERSION] - as is -described in [instrumentation/README.lto.md](../instrumentation/README.lto.md). - -##### cmake - -For `cmake` build systems this is usually done by: -`mkdir build; cd build; cmake -DCMAKE_C_COMPILER=afl-cc -DCMAKE_CXX_COMPILER=afl-c++ ..` - -Note that if you are using the (better) afl-clang-lto compiler you also have to -set AR to llvm-ar[-VERSION] and RANLIB to llvm-ranlib[-VERSION] - as is -described in [instrumentation/README.lto.md](../instrumentation/README.lto.md). - -##### meson - -For meson you have to set the AFL++ compiler with the very first command! -`CC=afl-cc CXX=afl-c++ meson` - -##### other build systems or if configure/cmake didn't work - -Sometimes cmake and configure do not pick up the AFL++ compiler, or the -ranlib/ar that is needed - because this was just not foreseen by the developer -of the target. Or they have non-standard options. Figure out if there is a -non-standard way to set this, otherwise set up the build normally and edit the -generated build environment afterwards manually to point it to the right compiler -(and/or ranlib and ar). - -#### f) Better instrumentation - -If you just fuzz a target program as-is you are wasting a great opportunity for -much more fuzzing speed. - -This variant requires the usage of afl-clang-lto, afl-clang-fast or afl-gcc-fast. - -It is the so-called `persistent mode`, which is much, much faster but -requires that you code a source file that is specifically calling the target -functions that you want to fuzz, plus a few specific AFL++ functions around -it. See [instrumentation/README.persistent_mode.md](../instrumentation/README.persistent_mode.md) for details. - -Basically if you do not fuzz a target in persistent mode then you are just -doing it for a hobby and not professionally :-). - -#### g) libfuzzer fuzzer harnesses with LLVMFuzzerTestOneInput() - -libfuzzer `LLVMFuzzerTestOneInput()` harnesses are the defacto standard -for fuzzing, and they can be used with AFL++ (and honggfuzz) as well! -Compiling them is as simple as: -``` -afl-clang-fast++ -fsanitize=fuzzer -o harness harness.cpp targetlib.a -``` -You can even use advanced libfuzzer features like `FuzzedDataProvider`, -`LLVMFuzzerMutate()` etc. and they will work! - -The generated binary is fuzzed with afl-fuzz like any other fuzz target. - -Bonus: the target is already optimized for fuzzing due to persistent mode and -shared-memory testcases and hence gives you the fastest speed possible. - -For more information see [utils/aflpp_driver/README.md](../utils/aflpp_driver/README.md) - -### 2. Preparing the fuzzing campaign - -As you fuzz the target with mutated input, having as diverse inputs for the -target as possible improves the efficiency a lot. - -#### a) Collect inputs - -Try to gather valid inputs for the target from wherever you can. E.g. if it is -the PNG picture format try to find as many png files as possible, e.g. from -reported bugs, test suites, random downloads from the internet, unit test -case data - from all kind of PNG software. - -If the input format is not known, you can also modify a target program to write -normal data it receives and processes to a file and use these. - -#### b) Making the input corpus unique - -Use the AFL++ tool `afl-cmin` to remove inputs from the corpus that do not -produce a new path in the target. - -Put all files from step a) into one directory, e.g. INPUTS. - -If the target program is to be called by fuzzing as `bin/target -d INPUTFILE` -the run afl-cmin like this: -`afl-cmin -i INPUTS -o INPUTS_UNIQUE -- bin/target -d @@` -Note that the INPUTFILE argument that the target program would read from has to be set as `@@`. - -If the target reads from stdin instead, just omit the `@@` as this is the -default. - -This step is highly recommended! - -#### c) Minimizing all corpus files - -The shorter the input files that still traverse the same path -within the target, the better the fuzzing will be. This minimization -is done with `afl-tmin` however it is a long process as this has to -be done for every file: - -``` -mkdir input -cd INPUTS_UNIQUE -for i in *; do - afl-tmin -i "$i" -o "../input/$i" -- bin/target -d @@ -done -``` - -This step can also be parallelized, e.g. with `parallel`. -Note that this step is rather optional though. - -#### Done! - -The INPUTS_UNIQUE/ directory from step b) - or even better the directory input/ -if you minimized the corpus in step c) - is the resulting input corpus directory -to be used in fuzzing! :-) - -### 3. Fuzzing the target - -In this final step we fuzz the target. -There are not that many important options to run the target - unless you want -to use many CPU cores/threads for the fuzzing, which will make the fuzzing much -more useful. - -If you just use one CPU for fuzzing, then you are fuzzing just for fun and not -seriously :-) - -#### a) Running afl-fuzz - -Before you do even a test run of afl-fuzz execute `sudo afl-system-config` (on -the host if you execute afl-fuzz in a docker container). This reconfigures the -system for optimal speed - which afl-fuzz checks and bails otherwise. -Set `export AFL_SKIP_CPUFREQ=1` for afl-fuzz to skip this check if you cannot -run afl-system-config with root privileges on the host for whatever reason. - -Note there is also `sudo afl-persistent-config` which sets additional permanent -boot options for a much better fuzzing performance. - -Note that both scripts improve your fuzzing performance but also decrease your -system protection against attacks! So set strong firewall rules and only -expose SSH as a network service if you use these (which is highly recommended). - -If you have an input corpus from step 2 then specify this directory with the `-i` -option. Otherwise create a new directory and create a file with any content -as test data in there. - -If you do not want anything special, the defaults are already usually best, -hence all you need is to specify the seed input directory with the result of -step [2a. Collect inputs](#a-collect-inputs): -`afl-fuzz -i input -o output -- bin/target -d @@` -Note that the directory specified with -o will be created if it does not exist. - -It can be valuable to run afl-fuzz in a screen or tmux shell so you can log off, -or afl-fuzz is not aborted if you are running it in a remote ssh session where -the connection fails in between. -Only do that though once you have verified that your fuzzing setup works! -Simply run it like `screen -dmS afl-main -- afl-fuzz -M main-$HOSTNAME -i ...` -and it will start away in a screen session. To enter this session simply type -`screen -r afl-main`. You see - it makes sense to name the screen session -same as the afl-fuzz -M/-S naming :-) -For more information on screen or tmux please check their documentation. - -If you need to stop and re-start the fuzzing, use the same command line options -(or even change them by selecting a different power schedule or another -mutation mode!) and switch the input directory with a dash (`-`): -`afl-fuzz -i - -o output -- bin/target -d @@` - -Memory limits are not enforced by afl-fuzz by default and the system may run -out of memory. You can decrease the memory with the `-m` option, the value is -in MB. If this is too small for the target, you can usually see this by -afl-fuzz bailing with the message that it could not connect to the forkserver. - -Adding a dictionary is helpful. See the directory [dictionaries/](../dictionaries/) if -something is already included for your data format, and tell afl-fuzz to load -that dictionary by adding `-x dictionaries/FORMAT.dict`. With afl-clang-lto -you have an autodictionary generation for which you need to do nothing except -to use afl-clang-lto as the compiler. You also have the option to generate -a dictionary yourself, see [utils/libtokencap/README.md](../utils/libtokencap/README.md). - -afl-fuzz has a variety of options that help to workaround target quirks like -specific locations for the input file (`-f`), performing deterministic -fuzzing (`-D`) and many more. Check out `afl-fuzz -h`. - -We highly recommend that you set a memory limit for running the target with `-m` -which defines the maximum memory in MB. This prevents a potential -out-of-memory problem for your system plus helps you detect missing `malloc()` -failure handling in the target. -Play around with various -m values until you find one that safely works for all -your input seeds (if you have good ones and then double or quadrouple that. - -By default afl-fuzz never stops fuzzing. To terminate AFL++ simply press Control-C -or send a signal SIGINT. You can limit the number of executions or approximate runtime -in seconds with options also. - -When you start afl-fuzz you will see a user interface that shows what the status -is: -![resources/screenshot.png](resources/screenshot.png) - -All labels are explained in [status_screen.md](status_screen.md). - -#### b) Using multiple cores - -If you want to seriously fuzz then use as many cores/threads as possible to -fuzz your target. - -On the same machine - due to the design of how AFL++ works - there is a maximum -number of CPU cores/threads that are useful, use more and the overall performance -degrades instead. This value depends on the target, and the limit is between 32 -and 64 cores per machine. - -If you have the RAM, it is highly recommended run the instances with a caching -of the testcases. Depending on the average testcase size (and those found -during fuzzing) and their number, a value between 50-500MB is recommended. -You can set the cache size (in MB) by setting the environment variable `AFL_TESTCACHE_SIZE`. - -There should be one main fuzzer (`-M main-$HOSTNAME` option) and as many secondary -fuzzers (eg `-S variant1`) as you have cores that you use. -Every -M/-S entry needs a unique name (that can be whatever), however the same --o output directory location has to be used for all instances. - -For every secondary fuzzer there should be a variation, e.g.: - * one should fuzz the target that was compiled differently: with sanitizers - activated (`export AFL_USE_ASAN=1 ; export AFL_USE_UBSAN=1 ; - export AFL_USE_CFISAN=1`) - * one or two should fuzz the target with CMPLOG/redqueen (see above), at - least one cmplog instance should follow transformations (`-l AT`) - * one to three fuzzers should fuzz a target compiled with laf-intel/COMPCOV - (see above). Important note: If you run more than one laf-intel/COMPCOV - fuzzer and you want them to share their intermediate results, the main - fuzzer (`-M`) must be one of the them! (Although this is not really - recommended.) - -All other secondaries should be used like this: - * A quarter to a third with the MOpt mutator enabled: `-L 0` - * run with a different power schedule, recommended are: - `fast (default), explore, coe, lin, quad, exploit and rare` - which you can set with e.g. `-p explore` - * a few instances should use the old queue cycling with `-Z` - -Also it is recommended to set `export AFL_IMPORT_FIRST=1` to load testcases -from other fuzzers in the campaign first. - -If you have a large corpus, a corpus from a previous run or are fuzzing in -a CI, then also set `export AFL_CMPLOG_ONLY_NEW=1` and `export AFL_FAST_CAL=1`. - -You can also use different fuzzers. -If you are using AFL spinoffs or AFL conforming fuzzers, then just use the -same -o directory and give it a unique `-S` name. -Examples are: - * [Fuzzolic](https://github.com/season-lab/fuzzolic) - * [symcc](https://github.com/eurecom-s/symcc/) - * [Eclipser](https://github.com/SoftSec-KAIST/Eclipser/) - * [AFLsmart](https://github.com/aflsmart/aflsmart) - * [FairFuzz](https://github.com/carolemieux/afl-rb) - * [Neuzz](https://github.com/Dongdongshe/neuzz) - * [Angora](https://github.com/AngoraFuzzer/Angora) - -A long list can be found at [https://github.com/Microsvuln/Awesome-AFL](https://github.com/Microsvuln/Awesome-AFL) - -However you can also sync AFL++ with honggfuzz, libfuzzer with `-entropic=1`, etc. -Just show the main fuzzer (-M) with the `-F` option where the queue/work -directory of a different fuzzer is, e.g. `-F /src/target/honggfuzz`. -Using honggfuzz (with `-n 1` or `-n 2`) and libfuzzer in parallel is highly -recommended! - -#### c) Using multiple machines for fuzzing - -Maybe you have more than one machine you want to fuzz the same target on. -Simply start the `afl-fuzz` (and perhaps libfuzzer, honggfuzz, ...) -orchestra as you like, just ensure that your have one and only one `-M` -instance per server, and that its name is unique, hence the recommendation -for `-M main-$HOSTNAME`. - -Now there are three strategies on how you can sync between the servers: - * never: sounds weird, but this makes every server an island and has the - chance the each follow different paths into the target. You can make - this even more interesting by even giving different seeds to each server. - * regularly (~4h): this ensures that all fuzzing campaigns on the servers - "see" the same thing. It is like fuzzing on a huge server. - * in intervals of 1/10th of the overall expected runtime of the fuzzing you - sync. This tries a bit to combine both. have some individuality of the - paths each campaign on a server explores, on the other hand if one - gets stuck where another found progress this is handed over making it - unstuck. - -The syncing process itself is very simple. -As the `-M main-$HOSTNAME` instance syncs to all `-S` secondaries as well -as to other fuzzers, you have to copy only this directory to the other -machines. - -Lets say all servers have the `-o out` directory in /target/foo/out, and -you created a file `servers.txt` which contains the hostnames of all -participating servers, plus you have an ssh key deployed to all of them, -then run: -```bash -for FROM in `cat servers.txt`; do - for TO in `cat servers.txt`; do - rsync -rlpogtz --rsh=ssh $FROM:/target/foo/out/main-$FROM $TO:target/foo/out/ - done -done -``` -You can run this manually, per cron job - as you need it. -There is a more complex and configurable script in `utils/distributed_fuzzing`. - -#### d) The status of the fuzz campaign - -AFL++ comes with the `afl-whatsup` script to show the status of the fuzzing -campaign. - -Just supply the directory that afl-fuzz is given with the -o option and -you will see a detailed status of every fuzzer in that campaign plus -a summary. - -To have only the summary use the `-s` switch e.g.: `afl-whatsup -s out/` - -If you have multiple servers then use the command after a sync, or you have -to execute this script per server. - -#### e) Stopping fuzzing, restarting fuzzing, adding new seeds - -To stop an afl-fuzz run, simply press Control-C. - -To restart an afl-fuzz run, just reuse the same command line but replace the -`-i directory` with `-i -` or set `AFL_AUTORESUME=1`. - -If you want to add new seeds to a fuzzing campaign you can run a temporary -fuzzing instance, e.g. when your main fuzzer is using `-o out` and the new -seeds are in `newseeds/` directory: -``` -AFL_BENCH_JUST_ONE=1 AFL_FAST_CAL=1 afl-fuzz -i newseeds -o out -S newseeds -- ./target -``` - -#### f) Checking the coverage of the fuzzing - -The `paths found` value is a bad indicator for checking how good the coverage is. - -A better indicator - if you use default llvm instrumentation with at least -version 9 - is to use `afl-showmap` with the collect coverage option `-C` on -the output directory: -``` -$ afl-showmap -C -i out -o /dev/null -- ./target -params @@ -... -[*] Using SHARED MEMORY FUZZING feature. -[*] Target map size: 9960 -[+] Processed 7849 input files. -[+] Captured 4331 tuples (highest value 255, total values 67130596) in '/dev/nul -l'. -[+] A coverage of 4331 edges were achieved out of 9960 existing (43.48%) with 7849 input files. -``` -It is even better to check out the exact lines of code that have been reached - -and which have not been found so far. - -An "easy" helper script for this is [https://github.com/vanhauser-thc/afl-cov](https://github.com/vanhauser-thc/afl-cov), -just follow the README of that separate project. - -If you see that an important area or a feature has not been covered so far then -try to find an input that is able to reach that and start a new secondary in -that fuzzing campaign with that seed as input, let it run for a few minutes, -then terminate it. The main node will pick it up and make it available to the -other secondary nodes over time. Set `export AFL_NO_AFFINITY=1` or -`export AFL_TRY_AFFINITY=1` if you have no free core. - -Note that in nearly all cases you can never reach full coverage. A lot of -functionality is usually dependent on exclusive options that would need individual -fuzzing campaigns each with one of these options set. E.g. if you fuzz a library to -convert image formats and your target is the png to tiff API then you will not -touch any of the other library APIs and features. - -#### g) How long to fuzz a target? - -This is a difficult question. -Basically if no new path is found for a long time (e.g. for a day or a week) -then you can expect that your fuzzing won't be fruitful anymore. -However often this just means that you should switch out secondaries for -others, e.g. custom mutator modules, sync to very different fuzzers, etc. - -Keep the queue/ directory (for future fuzzings of the same or similar targets) -and use them to seed other good fuzzers like libfuzzer with the -entropic -switch or honggfuzz. - -#### h) Improve the speed! - - * Use [persistent mode](../instrumentation/README.persistent_mode.md) (x2-x20 speed increase) - * If you do not use shmem persistent mode, use `AFL_TMPDIR` to point the input file on a tempfs location, see [env_variables.md](env_variables.md) - * Linux: Improve kernel performance: modify `/etc/default/grub`, set `GRUB_CMDLINE_LINUX_DEFAULT="ibpb=off ibrs=off kpti=off l1tf=off mds=off mitigations=off no_stf_barrier noibpb noibrs nopcid nopti nospec_store_bypass_disable nospectre_v1 nospectre_v2 pcid=off pti=off spec_store_bypass_disable=off spectre_v2=off stf_barrier=off"`; then `update-grub` and `reboot` (warning: makes the system more insecure) - you can also just run `sudo afl-persistent-config` - * Linux: Running on an `ext2` filesystem with `noatime` mount option will be a bit faster than on any other journaling filesystem - * Use your cores! [3.b) Using multiple cores/threads](#b-using-multiple-coresthreads) - * Run `sudo afl-system-config` before starting the first afl-fuzz instance after a reboot - -### The End - -Check out the [FAQ](FAQ.md) if it maybe answers your question (that -you might not even have known you had ;-) ). - -This is basically all you need to know to professionally run fuzzing campaigns. -If you want to know more, the tons of texts in [docs/](./) will have you covered. - -Note that there are also a lot of tools out there that help fuzzing with AFL++ -(some might be deprecated or unsupported), see [links_tools.md](links_tools.md). \ No newline at end of file diff --git a/docs/fuzzing_expert.md b/docs/fuzzing_expert.md new file mode 100644 index 00000000..23b24ad0 --- /dev/null +++ b/docs/fuzzing_expert.md @@ -0,0 +1,623 @@ +# Fuzzing with AFL++ + +The following describes how to fuzz with a target if source code is available. +If you have a binary-only target please skip to [#Instrumenting binary-only apps](#Instrumenting binary-only apps) + +Fuzzing source code is a three-step process. + +1. Compile the target with a special compiler that prepares the target to be + fuzzed efficiently. This step is called "instrumenting a target". +2. Prepare the fuzzing by selecting and optimizing the input corpus for the + target. +3. Perform the fuzzing of the target by randomly mutating input and assessing + if a generated input was processed in a new path in the target binary. + +### 1. Instrumenting that target + +#### a) Selecting the best AFL++ compiler for instrumenting the target + +AFL++ comes with a central compiler `afl-cc` that incorporates various different +kinds of compiler targets and and instrumentation options. +The following evaluation flow will help you to select the best possible. + +It is highly recommended to have the newest llvm version possible installed, +anything below 9 is not recommended. + +``` ++--------------------------------+ +| clang/clang++ 11+ is available | --> use LTO mode (afl-clang-lto/afl-clang-lto++) ++--------------------------------+ see [instrumentation/README.lto.md](instrumentation/README.lto.md) + | + | if not, or if the target fails with LTO afl-clang-lto/++ + | + v ++---------------------------------+ +| clang/clang++ 3.8+ is available | --> use LLVM mode (afl-clang-fast/afl-clang-fast++) ++---------------------------------+ see [instrumentation/README.llvm.md](instrumentation/README.llvm.md) + | + | if not, or if the target fails with LLVM afl-clang-fast/++ + | + v + +--------------------------------+ + | gcc 5+ is available | -> use GCC_PLUGIN mode (afl-gcc-fast/afl-g++-fast) + +--------------------------------+ see [instrumentation/README.gcc_plugin.md](instrumentation/README.gcc_plugin.md) and + [instrumentation/README.instrument_list.md](instrumentation/README.instrument_list.md) + | + | if not, or if you do not have a gcc with plugin support + | + v + use GCC mode (afl-gcc/afl-g++) (or afl-clang/afl-clang++ for clang) +``` + +Clickable README links for the chosen compiler: + + * [LTO mode - afl-clang-lto](../instrumentation/README.lto.md) + * [LLVM mode - afl-clang-fast](../instrumentation/README.llvm.md) + * [GCC_PLUGIN mode - afl-gcc-fast](../instrumentation/README.gcc_plugin.md) + * GCC/CLANG modes (afl-gcc/afl-clang) have no README as they have no own features + +You can select the mode for the afl-cc compiler by: + 1. use a symlink to afl-cc: afl-gcc, afl-g++, afl-clang, afl-clang++, + afl-clang-fast, afl-clang-fast++, afl-clang-lto, afl-clang-lto++, + afl-gcc-fast, afl-g++-fast (recommended!) + 2. using the environment variable AFL_CC_COMPILER with MODE + 3. passing --afl-MODE command line options to the compiler via CFLAGS/CXXFLAGS/CPPFLAGS + +MODE can be one of: LTO (afl-clang-lto*), LLVM (afl-clang-fast*), GCC_PLUGIN +(afl-g*-fast) or GCC (afl-gcc/afl-g++) or CLANG(afl-clang/afl-clang++). + +Because no AFL specific command-line options are accepted (beside the +--afl-MODE command), the compile-time tools make fairly broad use of environment +variables, which can be listed with `afl-cc -hh` or by reading [env_variables.md](env_variables.md). + +#### b) Selecting instrumentation options + +The following options are available when you instrument with LTO mode (afl-clang-fast/afl-clang-lto): + + * Splitting integer, string, float and switch comparisons so AFL++ can easier + solve these. This is an important option if you do not have a very good + and large input corpus. This technique is called laf-intel or COMPCOV. + To use this set the following environment variable before compiling the + target: `export AFL_LLVM_LAF_ALL=1` + You can read more about this in [instrumentation/README.laf-intel.md](../instrumentation/README.laf-intel.md) + * A different technique (and usually a better one than laf-intel) is to + instrument the target so that any compare values in the target are sent to + AFL++ which then tries to put these values into the fuzzing data at different + locations. This technique is very fast and good - if the target does not + transform input data before comparison. Therefore this technique is called + `input to state` or `redqueen`. + If you want to use this technique, then you have to compile the target + twice, once specifically with/for this mode, and pass this binary to afl-fuzz + via the `-c` parameter. + Note that you can compile also just a cmplog binary and use that for both + however there will be a performance penality. + You can read more about this in [instrumentation/README.cmplog.md](../instrumentation/README.cmplog.md) + +If you use LTO, LLVM or GCC_PLUGIN mode (afl-clang-fast/afl-clang-lto/afl-gcc-fast) +you have the option to selectively only instrument parts of the target that you +are interested in: + + * To instrument only those parts of the target that you are interested in + create a file with all the filenames of the source code that should be + instrumented. + For afl-clang-lto and afl-gcc-fast - or afl-clang-fast if a mode other than + DEFAULT/PCGUARD is used or you have llvm > 10.0.0 - just put one + filename or function per line (no directory information necessary for + filenames9, and either set `export AFL_LLVM_ALLOWLIST=allowlist.txt` **or** + `export AFL_LLVM_DENYLIST=denylist.txt` - depending on if you want per + default to instrument unless noted (DENYLIST) or not perform instrumentation + unless requested (ALLOWLIST). + **NOTE:** During optimization functions might be inlined and then would not match! + See [instrumentation/README.instrument_list.md](../instrumentation/README.instrument_list.md) + +There are many more options and modes available however these are most of the +time less effective. See: + * [instrumentation/README.ctx.md](../instrumentation/README.ctx.md) + * [instrumentation/README.ngram.md](../instrumentation/README.ngram.md) + +AFL++ performs "never zero" counting in its bitmap. You can read more about this +here: + * [instrumentation/README.neverzero.md](../instrumentation/README.neverzero.md) + +#### c) Sanitizers + +It is possible to use sanitizers when instrumenting targets for fuzzing, +which allows you to find bugs that would not necessarily result in a crash. + +Note that sanitizers have a huge impact on CPU (= less executions per second) +and RAM usage. Also you should only run one afl-fuzz instance per sanitizer type. +This is enough because a use-after-free bug will be picked up, e.g. by +ASAN (address sanitizer) anyway when syncing to other fuzzing instances, +so not all fuzzing instances need to be instrumented with ASAN. + +The following sanitizers have built-in support in AFL++: + * ASAN = Address SANitizer, finds memory corruption vulnerabilities like + use-after-free, NULL pointer dereference, buffer overruns, etc. + Enabled with `export AFL_USE_ASAN=1` before compiling. + * MSAN = Memory SANitizer, finds read access to uninitialized memory, eg. + a local variable that is defined and read before it is even set. + Enabled with `export AFL_USE_MSAN=1` before compiling. + * UBSAN = Undefined Behaviour SANitizer, finds instances where - by the + C and C++ standards - undefined behaviour happens, e.g. adding two + signed integers together where the result is larger than a signed integer + can hold. + Enabled with `export AFL_USE_UBSAN=1` before compiling. + * CFISAN = Control Flow Integrity SANitizer, finds instances where the + control flow is found to be illegal. Originally this was rather to + prevent return oriented programming exploit chains from functioning, + in fuzzing this is mostly reduced to detecting type confusion + vulnerabilities - which is however one of the most important and dangerous + C++ memory corruption classes! + Enabled with `export AFL_USE_CFISAN=1` before compiling. + * LSAN = Leak SANitizer, finds memory leaks in a program. This is not really + a security issue, but for developers this can be very valuable. + Note that unlike the other sanitizers above this needs + `__AFL_LEAK_CHECK();` added to all areas of the target source code where you + find a leak check necessary! + Enabled with `export AFL_USE_LSAN=1` before compiling. + +It is possible to further modify the behaviour of the sanitizers at run-time +by setting `ASAN_OPTIONS=...`, `LSAN_OPTIONS` etc. - the available parameters +can be looked up in the sanitizer documentation of llvm/clang. +afl-fuzz however requires some specific parameters important for fuzzing to be +set. If you want to set your own, it might bail and report what it is missing. + +Note that some sanitizers cannot be used together, e.g. ASAN and MSAN, and +others often cannot work together because of target weirdness, e.g. ASAN and +CFISAN. You might need to experiment which sanitizers you can combine in a +target (which means more instances can be run without a sanitized target, +which is more effective). + +#### d) Modify the target + +If the target has features that make fuzzing more difficult, e.g. +checksums, HMAC, etc. then modify the source code so that checks for these +values are removed. +This can even be done safely for source code used in operational products +by eliminating these checks within these AFL specific blocks: + +``` +#ifdef FUZZING_BUILD_MODE_UNSAFE_FOR_PRODUCTION + // say that the checksum or HMAC was fine - or whatever is required + // to eliminate the need for the fuzzer to guess the right checksum + return 0; +#endif +``` + +All AFL++ compilers will set this preprocessor definition automatically. + +#### e) Instrument the target + +In this step the target source code is compiled so that it can be fuzzed. + +Basically you have to tell the target build system that the selected AFL++ +compiler is used. Also - if possible - you should always configure the +build system such that the target is compiled statically and not dynamically. +How to do this is described below. + +The #1 rule when instrumenting a target is: avoid instrumenting shared +libraries at all cost. You would need to set LD_LIBRARY_PATH to point to +these, you could accidently type "make install" and install them system wide - +so don't. Really don't. +**Always compile libraries you want to have instrumented as static and link +these to the target program!** + +Then build the target. (Usually with `make`) + +**NOTES** + +1. sometimes configure and build systems are fickle and do not like + stderr output (and think this means a test failure) - which is something + AFL++ likes to do to show statistics. It is recommended to disable AFL++ + instrumentation reporting via `export AFL_QUIET=1`. + +2. sometimes configure and build systems error on warnings - these should be + disabled (e.g. `--disable-werror` for some configure scripts). + +3. in case the configure/build system complains about AFL++'s compiler and + aborts then set `export AFL_NOOPT=1` which will then just behave like the + real compiler. This option has to be unset again before building the target! + +##### configure + +For `configure` build systems this is usually done by: +`CC=afl-clang-fast CXX=afl-clang-fast++ ./configure --disable-shared` + +Note that if you are using the (better) afl-clang-lto compiler you also have to +set AR to llvm-ar[-VERSION] and RANLIB to llvm-ranlib[-VERSION] - as is +described in [instrumentation/README.lto.md](../instrumentation/README.lto.md). + +##### cmake + +For `cmake` build systems this is usually done by: +`mkdir build; cd build; cmake -DCMAKE_C_COMPILER=afl-cc -DCMAKE_CXX_COMPILER=afl-c++ ..` + +Note that if you are using the (better) afl-clang-lto compiler you also have to +set AR to llvm-ar[-VERSION] and RANLIB to llvm-ranlib[-VERSION] - as is +described in [instrumentation/README.lto.md](../instrumentation/README.lto.md). + +##### meson + +For meson you have to set the AFL++ compiler with the very first command! +`CC=afl-cc CXX=afl-c++ meson` + +##### other build systems or if configure/cmake didn't work + +Sometimes cmake and configure do not pick up the AFL++ compiler, or the +ranlib/ar that is needed - because this was just not foreseen by the developer +of the target. Or they have non-standard options. Figure out if there is a +non-standard way to set this, otherwise set up the build normally and edit the +generated build environment afterwards manually to point it to the right compiler +(and/or ranlib and ar). + +#### f) Better instrumentation + +If you just fuzz a target program as-is you are wasting a great opportunity for +much more fuzzing speed. + +This variant requires the usage of afl-clang-lto, afl-clang-fast or afl-gcc-fast. + +It is the so-called `persistent mode`, which is much, much faster but +requires that you code a source file that is specifically calling the target +functions that you want to fuzz, plus a few specific AFL++ functions around +it. See [instrumentation/README.persistent_mode.md](../instrumentation/README.persistent_mode.md) for details. + +Basically if you do not fuzz a target in persistent mode then you are just +doing it for a hobby and not professionally :-). + +#### g) libfuzzer fuzzer harnesses with LLVMFuzzerTestOneInput() + +libfuzzer `LLVMFuzzerTestOneInput()` harnesses are the defacto standard +for fuzzing, and they can be used with AFL++ (and honggfuzz) as well! +Compiling them is as simple as: +``` +afl-clang-fast++ -fsanitize=fuzzer -o harness harness.cpp targetlib.a +``` +You can even use advanced libfuzzer features like `FuzzedDataProvider`, +`LLVMFuzzerMutate()` etc. and they will work! + +The generated binary is fuzzed with afl-fuzz like any other fuzz target. + +Bonus: the target is already optimized for fuzzing due to persistent mode and +shared-memory testcases and hence gives you the fastest speed possible. + +For more information see [utils/aflpp_driver/README.md](../utils/aflpp_driver/README.md) + +### 2. Preparing the fuzzing campaign + +As you fuzz the target with mutated input, having as diverse inputs for the +target as possible improves the efficiency a lot. + +#### a) Collect inputs + +Try to gather valid inputs for the target from wherever you can. E.g. if it is +the PNG picture format try to find as many png files as possible, e.g. from +reported bugs, test suites, random downloads from the internet, unit test +case data - from all kind of PNG software. + +If the input format is not known, you can also modify a target program to write +normal data it receives and processes to a file and use these. + +#### b) Making the input corpus unique + +Use the AFL++ tool `afl-cmin` to remove inputs from the corpus that do not +produce a new path in the target. + +Put all files from step a) into one directory, e.g. INPUTS. + +If the target program is to be called by fuzzing as `bin/target -d INPUTFILE` +the run afl-cmin like this: +`afl-cmin -i INPUTS -o INPUTS_UNIQUE -- bin/target -d @@` +Note that the INPUTFILE argument that the target program would read from has to be set as `@@`. + +If the target reads from stdin instead, just omit the `@@` as this is the +default. + +This step is highly recommended! + +#### c) Minimizing all corpus files + +The shorter the input files that still traverse the same path +within the target, the better the fuzzing will be. This minimization +is done with `afl-tmin` however it is a long process as this has to +be done for every file: + +``` +mkdir input +cd INPUTS_UNIQUE +for i in *; do + afl-tmin -i "$i" -o "../input/$i" -- bin/target -d @@ +done +``` + +This step can also be parallelized, e.g. with `parallel`. +Note that this step is rather optional though. + +#### Done! + +The INPUTS_UNIQUE/ directory from step b) - or even better the directory input/ +if you minimized the corpus in step c) - is the resulting input corpus directory +to be used in fuzzing! :-) + +### 3. Fuzzing the target + +In this final step we fuzz the target. +There are not that many important options to run the target - unless you want +to use many CPU cores/threads for the fuzzing, which will make the fuzzing much +more useful. + +If you just use one CPU for fuzzing, then you are fuzzing just for fun and not +seriously :-) + +#### a) Running afl-fuzz + +Before you do even a test run of afl-fuzz execute `sudo afl-system-config` (on +the host if you execute afl-fuzz in a docker container). This reconfigures the +system for optimal speed - which afl-fuzz checks and bails otherwise. +Set `export AFL_SKIP_CPUFREQ=1` for afl-fuzz to skip this check if you cannot +run afl-system-config with root privileges on the host for whatever reason. + +Note there is also `sudo afl-persistent-config` which sets additional permanent +boot options for a much better fuzzing performance. + +Note that both scripts improve your fuzzing performance but also decrease your +system protection against attacks! So set strong firewall rules and only +expose SSH as a network service if you use these (which is highly recommended). + +If you have an input corpus from step 2 then specify this directory with the `-i` +option. Otherwise create a new directory and create a file with any content +as test data in there. + +If you do not want anything special, the defaults are already usually best, +hence all you need is to specify the seed input directory with the result of +step [2a. Collect inputs](#a-collect-inputs): +`afl-fuzz -i input -o output -- bin/target -d @@` +Note that the directory specified with -o will be created if it does not exist. + +It can be valuable to run afl-fuzz in a screen or tmux shell so you can log off, +or afl-fuzz is not aborted if you are running it in a remote ssh session where +the connection fails in between. +Only do that though once you have verified that your fuzzing setup works! +Simply run it like `screen -dmS afl-main -- afl-fuzz -M main-$HOSTNAME -i ...` +and it will start away in a screen session. To enter this session simply type +`screen -r afl-main`. You see - it makes sense to name the screen session +same as the afl-fuzz -M/-S naming :-) +For more information on screen or tmux please check their documentation. + +If you need to stop and re-start the fuzzing, use the same command line options +(or even change them by selecting a different power schedule or another +mutation mode!) and switch the input directory with a dash (`-`): +`afl-fuzz -i - -o output -- bin/target -d @@` + +Memory limits are not enforced by afl-fuzz by default and the system may run +out of memory. You can decrease the memory with the `-m` option, the value is +in MB. If this is too small for the target, you can usually see this by +afl-fuzz bailing with the message that it could not connect to the forkserver. + +Adding a dictionary is helpful. See the directory [dictionaries/](../dictionaries/) if +something is already included for your data format, and tell afl-fuzz to load +that dictionary by adding `-x dictionaries/FORMAT.dict`. With afl-clang-lto +you have an autodictionary generation for which you need to do nothing except +to use afl-clang-lto as the compiler. You also have the option to generate +a dictionary yourself, see [utils/libtokencap/README.md](../utils/libtokencap/README.md). + +afl-fuzz has a variety of options that help to workaround target quirks like +specific locations for the input file (`-f`), performing deterministic +fuzzing (`-D`) and many more. Check out `afl-fuzz -h`. + +We highly recommend that you set a memory limit for running the target with `-m` +which defines the maximum memory in MB. This prevents a potential +out-of-memory problem for your system plus helps you detect missing `malloc()` +failure handling in the target. +Play around with various -m values until you find one that safely works for all +your input seeds (if you have good ones and then double or quadrouple that. + +By default afl-fuzz never stops fuzzing. To terminate AFL++ simply press Control-C +or send a signal SIGINT. You can limit the number of executions or approximate runtime +in seconds with options also. + +When you start afl-fuzz you will see a user interface that shows what the status +is: +![resources/screenshot.png](resources/screenshot.png) + +All labels are explained in [status_screen.md](status_screen.md). + +#### b) Using multiple cores + +If you want to seriously fuzz then use as many cores/threads as possible to +fuzz your target. + +On the same machine - due to the design of how AFL++ works - there is a maximum +number of CPU cores/threads that are useful, use more and the overall performance +degrades instead. This value depends on the target, and the limit is between 32 +and 64 cores per machine. + +If you have the RAM, it is highly recommended run the instances with a caching +of the testcases. Depending on the average testcase size (and those found +during fuzzing) and their number, a value between 50-500MB is recommended. +You can set the cache size (in MB) by setting the environment variable `AFL_TESTCACHE_SIZE`. + +There should be one main fuzzer (`-M main-$HOSTNAME` option) and as many secondary +fuzzers (eg `-S variant1`) as you have cores that you use. +Every -M/-S entry needs a unique name (that can be whatever), however the same +-o output directory location has to be used for all instances. + +For every secondary fuzzer there should be a variation, e.g.: + * one should fuzz the target that was compiled differently: with sanitizers + activated (`export AFL_USE_ASAN=1 ; export AFL_USE_UBSAN=1 ; + export AFL_USE_CFISAN=1`) + * one or two should fuzz the target with CMPLOG/redqueen (see above), at + least one cmplog instance should follow transformations (`-l AT`) + * one to three fuzzers should fuzz a target compiled with laf-intel/COMPCOV + (see above). Important note: If you run more than one laf-intel/COMPCOV + fuzzer and you want them to share their intermediate results, the main + fuzzer (`-M`) must be one of the them! (Although this is not really + recommended.) + +All other secondaries should be used like this: + * A quarter to a third with the MOpt mutator enabled: `-L 0` + * run with a different power schedule, recommended are: + `fast (default), explore, coe, lin, quad, exploit and rare` + which you can set with e.g. `-p explore` + * a few instances should use the old queue cycling with `-Z` + +Also it is recommended to set `export AFL_IMPORT_FIRST=1` to load testcases +from other fuzzers in the campaign first. + +If you have a large corpus, a corpus from a previous run or are fuzzing in +a CI, then also set `export AFL_CMPLOG_ONLY_NEW=1` and `export AFL_FAST_CAL=1`. + +You can also use different fuzzers. +If you are using AFL spinoffs or AFL conforming fuzzers, then just use the +same -o directory and give it a unique `-S` name. +Examples are: + * [Fuzzolic](https://github.com/season-lab/fuzzolic) + * [symcc](https://github.com/eurecom-s/symcc/) + * [Eclipser](https://github.com/SoftSec-KAIST/Eclipser/) + * [AFLsmart](https://github.com/aflsmart/aflsmart) + * [FairFuzz](https://github.com/carolemieux/afl-rb) + * [Neuzz](https://github.com/Dongdongshe/neuzz) + * [Angora](https://github.com/AngoraFuzzer/Angora) + +A long list can be found at [https://github.com/Microsvuln/Awesome-AFL](https://github.com/Microsvuln/Awesome-AFL) + +However you can also sync AFL++ with honggfuzz, libfuzzer with `-entropic=1`, etc. +Just show the main fuzzer (-M) with the `-F` option where the queue/work +directory of a different fuzzer is, e.g. `-F /src/target/honggfuzz`. +Using honggfuzz (with `-n 1` or `-n 2`) and libfuzzer in parallel is highly +recommended! + +#### c) Using multiple machines for fuzzing + +Maybe you have more than one machine you want to fuzz the same target on. +Simply start the `afl-fuzz` (and perhaps libfuzzer, honggfuzz, ...) +orchestra as you like, just ensure that your have one and only one `-M` +instance per server, and that its name is unique, hence the recommendation +for `-M main-$HOSTNAME`. + +Now there are three strategies on how you can sync between the servers: + * never: sounds weird, but this makes every server an island and has the + chance the each follow different paths into the target. You can make + this even more interesting by even giving different seeds to each server. + * regularly (~4h): this ensures that all fuzzing campaigns on the servers + "see" the same thing. It is like fuzzing on a huge server. + * in intervals of 1/10th of the overall expected runtime of the fuzzing you + sync. This tries a bit to combine both. have some individuality of the + paths each campaign on a server explores, on the other hand if one + gets stuck where another found progress this is handed over making it + unstuck. + +The syncing process itself is very simple. +As the `-M main-$HOSTNAME` instance syncs to all `-S` secondaries as well +as to other fuzzers, you have to copy only this directory to the other +machines. + +Lets say all servers have the `-o out` directory in /target/foo/out, and +you created a file `servers.txt` which contains the hostnames of all +participating servers, plus you have an ssh key deployed to all of them, +then run: +```bash +for FROM in `cat servers.txt`; do + for TO in `cat servers.txt`; do + rsync -rlpogtz --rsh=ssh $FROM:/target/foo/out/main-$FROM $TO:target/foo/out/ + done +done +``` +You can run this manually, per cron job - as you need it. +There is a more complex and configurable script in `utils/distributed_fuzzing`. + +#### d) The status of the fuzz campaign + +AFL++ comes with the `afl-whatsup` script to show the status of the fuzzing +campaign. + +Just supply the directory that afl-fuzz is given with the -o option and +you will see a detailed status of every fuzzer in that campaign plus +a summary. + +To have only the summary use the `-s` switch e.g.: `afl-whatsup -s out/` + +If you have multiple servers then use the command after a sync, or you have +to execute this script per server. + +#### e) Stopping fuzzing, restarting fuzzing, adding new seeds + +To stop an afl-fuzz run, simply press Control-C. + +To restart an afl-fuzz run, just reuse the same command line but replace the +`-i directory` with `-i -` or set `AFL_AUTORESUME=1`. + +If you want to add new seeds to a fuzzing campaign you can run a temporary +fuzzing instance, e.g. when your main fuzzer is using `-o out` and the new +seeds are in `newseeds/` directory: +``` +AFL_BENCH_JUST_ONE=1 AFL_FAST_CAL=1 afl-fuzz -i newseeds -o out -S newseeds -- ./target +``` + +#### f) Checking the coverage of the fuzzing + +The `paths found` value is a bad indicator for checking how good the coverage is. + +A better indicator - if you use default llvm instrumentation with at least +version 9 - is to use `afl-showmap` with the collect coverage option `-C` on +the output directory: +``` +$ afl-showmap -C -i out -o /dev/null -- ./target -params @@ +... +[*] Using SHARED MEMORY FUZZING feature. +[*] Target map size: 9960 +[+] Processed 7849 input files. +[+] Captured 4331 tuples (highest value 255, total values 67130596) in '/dev/nul +l'. +[+] A coverage of 4331 edges were achieved out of 9960 existing (43.48%) with 7849 input files. +``` +It is even better to check out the exact lines of code that have been reached - +and which have not been found so far. + +An "easy" helper script for this is [https://github.com/vanhauser-thc/afl-cov](https://github.com/vanhauser-thc/afl-cov), +just follow the README of that separate project. + +If you see that an important area or a feature has not been covered so far then +try to find an input that is able to reach that and start a new secondary in +that fuzzing campaign with that seed as input, let it run for a few minutes, +then terminate it. The main node will pick it up and make it available to the +other secondary nodes over time. Set `export AFL_NO_AFFINITY=1` or +`export AFL_TRY_AFFINITY=1` if you have no free core. + +Note that in nearly all cases you can never reach full coverage. A lot of +functionality is usually dependent on exclusive options that would need individual +fuzzing campaigns each with one of these options set. E.g. if you fuzz a library to +convert image formats and your target is the png to tiff API then you will not +touch any of the other library APIs and features. + +#### g) How long to fuzz a target? + +This is a difficult question. +Basically if no new path is found for a long time (e.g. for a day or a week) +then you can expect that your fuzzing won't be fruitful anymore. +However often this just means that you should switch out secondaries for +others, e.g. custom mutator modules, sync to very different fuzzers, etc. + +Keep the queue/ directory (for future fuzzings of the same or similar targets) +and use them to seed other good fuzzers like libfuzzer with the -entropic +switch or honggfuzz. + +#### h) Improve the speed! + + * Use [persistent mode](../instrumentation/README.persistent_mode.md) (x2-x20 speed increase) + * If you do not use shmem persistent mode, use `AFL_TMPDIR` to point the input file on a tempfs location, see [env_variables.md](env_variables.md) + * Linux: Improve kernel performance: modify `/etc/default/grub`, set `GRUB_CMDLINE_LINUX_DEFAULT="ibpb=off ibrs=off kpti=off l1tf=off mds=off mitigations=off no_stf_barrier noibpb noibrs nopcid nopti nospec_store_bypass_disable nospectre_v1 nospectre_v2 pcid=off pti=off spec_store_bypass_disable=off spectre_v2=off stf_barrier=off"`; then `update-grub` and `reboot` (warning: makes the system more insecure) - you can also just run `sudo afl-persistent-config` + * Linux: Running on an `ext2` filesystem with `noatime` mount option will be a bit faster than on any other journaling filesystem + * Use your cores! [3.b) Using multiple cores/threads](#b-using-multiple-coresthreads) + * Run `sudo afl-system-config` before starting the first afl-fuzz instance after a reboot + +### The End + +Check out the [FAQ](FAQ.md) if it maybe answers your question (that +you might not even have known you had ;-) ). + +This is basically all you need to know to professionally run fuzzing campaigns. +If you want to know more, the tons of texts in [docs/](./) will have you covered. + +Note that there are also a lot of tools out there that help fuzzing with AFL++ +(some might be deprecated or unsupported), see [links_tools.md](links_tools.md). \ No newline at end of file -- cgit 1.4.1 From c206fb319b18c1edf338150df6c6a76f2f0b51a1 Mon Sep 17 00:00:00 2001 From: llzmb <46303940+llzmb@users.noreply.github.com> Date: Fri, 3 Sep 2021 17:08:54 +0200 Subject: Edit README.md and related content --- README.md | 4 ++-- docs/guided_fuzzing.md | 25 ------------------------- 2 files changed, 2 insertions(+), 27 deletions(-) delete mode 100644 docs/guided_fuzzing.md (limited to 'docs') diff --git a/README.md b/README.md index 7a6098e5..db6a70b5 100644 --- a/README.md +++ b/README.md @@ -33,7 +33,7 @@ Here is some information to get you started: ## Building and installing AFL++ -To install AFL++ with everything compiled, pull the image directly from the Docker Hub: +To have AFL++ easily available with everything compiled, pull the image directly from the Docker Hub: ```shell docker pull aflplusplus/aflplusplus @@ -43,7 +43,7 @@ docker run -ti -v /location/of/your/target:/src aflplusplus/aflplusplus This image is automatically generated when a push to the stable repo happens (see [docs/branches.md](docs/branches.md)). You will find your target source code in `/src` in the container. -To build AFL++ yourself, continue at [docs/building_installing.md](docs/building_installing.md). +To build AFL++ yourself, continue at [docs/INSTALL.md](docs/INSTALL.md). ## Quick start: Fuzzing with AFL++ diff --git a/docs/guided_fuzzing.md b/docs/guided_fuzzing.md deleted file mode 100644 index 44fd44a4..00000000 --- a/docs/guided_fuzzing.md +++ /dev/null @@ -1,25 +0,0 @@ -# Challenges of guided fuzzing - -Fuzzing is one of the most powerful and proven strategies for identifying -security issues in real-world software; it is responsible for the vast -majority of remote code execution and privilege escalation bugs found to date -in security-critical software. - -Unfortunately, fuzzing is also relatively shallow; blind, random mutations -make it very unlikely to reach certain code paths in the tested code, leaving -some vulnerabilities firmly outside the reach of this technique. - -There have been numerous attempts to solve this problem. One of the early -approaches - pioneered by Tavis Ormandy - is corpus distillation. The method -relies on coverage signals to select a subset of interesting seeds from a -massive, high-quality corpus of candidate files, and then fuzz them by -traditional means. The approach works exceptionally well but requires such -a corpus to be readily available. In addition, block coverage measurements -provide only a very simplistic understanding of the program state and are less -useful for guiding the fuzzing effort in the long haul. - -Other, more sophisticated research has focused on techniques such as program -flow analysis ("concolic execution"), symbolic execution, or static analysis. -All these methods are extremely promising in experimental settings, but tend -to suffer from reliability and performance problems in practical uses - and -currently do not offer a viable alternative to "dumb" fuzzing techniques. \ No newline at end of file -- cgit 1.4.1 From e1eadecf59abea89433a125d4899947282899e00 Mon Sep 17 00:00:00 2001 From: llzmb <46303940+llzmb@users.noreply.github.com> Date: Mon, 6 Sep 2021 17:49:27 +0200 Subject: Update docs/rpc_statsd.md --- docs/rpc_statsd.md | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) (limited to 'docs') diff --git a/docs/rpc_statsd.md b/docs/rpc_statsd.md index 0f264341..cff93b7c 100644 --- a/docs/rpc_statsd.md +++ b/docs/rpc_statsd.md @@ -1,6 +1,6 @@ # Remote monitoring and metrics visualization -With StatsD, Prometheus, and Grafana you can set up a tool chain for remote monitoring and visualization of AFL++ metrics. All tools are free and open source. +AFL++ can send out metrics as StatsD messages. For remote monitoring and visualization of the metrics, you can set up a tool chain. For example, with Prometheus and Grafana. All tools are free and open source. This enables you to create nice and readable dashboards containing all the information you need on your fuzzer instances. There is no need to write your own statistics parsing system, deploy and maintain it to all your instances, and sync with your graph rendering system. -- cgit 1.4.1 From 1a13ae9a98cc016ab12ce701946b53723eaa7e8e Mon Sep 17 00:00:00 2001 From: llzmb <46303940+llzmb@users.noreply.github.com> Date: Mon, 6 Sep 2021 21:29:51 +0200 Subject: Edit README.md related content --- docs/INSTALL.md | 241 ++++++++++++++------------------------------ docs/behaviour_changes.md | 54 ---------- docs/building_installing.md | 78 -------------- docs/important_changes.md | 56 ++++++++++ 4 files changed, 134 insertions(+), 295 deletions(-) delete mode 100644 docs/behaviour_changes.md delete mode 100644 docs/building_installing.md create mode 100644 docs/important_changes.md (limited to 'docs') diff --git a/docs/INSTALL.md b/docs/INSTALL.md index 17af532a..b60a7048 100644 --- a/docs/INSTALL.md +++ b/docs/INSTALL.md @@ -1,83 +1,88 @@ -# Installation instructions +# Building and installing AFL++ - This document provides basic installation instructions and discusses known - issues for a variety of platforms. See README.md for the general instruction - manual. +## Linux on x86 -## 1. Linux on x86 ---------------- +An easy way to install AFL++ with everything compiled is available via docker: +You can use the [Dockerfile](../Dockerfile) (which has gcc-10 and clang-11 - hence afl-clang-lto is available!) or just pull directly from the Docker Hub: -This platform is expected to work well. Compile the program with: - -```bash -make +```shell +docker pull aflplusplus/aflplusplus +docker run -ti -v /location/of/your/target:/src aflplusplus/aflplusplus ``` -You can start using the fuzzer without installation, but it is also possible to -install it with: - -```bash +This image is automatically generated when a push to the stable repo happens. +You will find your target source code in /src in the container. + +If you want to build AFL++ yourself, you have many options. +The easiest choice is to build and install everything: + +```shell +sudo apt-get update +sudo apt-get install -y build-essential python3-dev automake git flex bison libglib2.0-dev libpixman-1-dev python3-setuptools +# try to install llvm 11 and install the distro default if that fails +sudo apt-get install -y lld-11 llvm-11 llvm-11-dev clang-11 || sudo apt-get install -y lld llvm llvm-dev clang +sudo apt-get install -y gcc-$(gcc --version|head -n1|sed 's/.* //'|sed 's/\..*//')-plugin-dev libstdc++-$(gcc --version|head -n1|sed 's/.* //'|sed 's/\..*//')-dev +git clone https://github.com/AFLplusplus/AFLplusplus +cd AFLplusplus +make distrib sudo make install ``` -There are no special dependencies to speak of; you will need GNU make and a -working compiler (gcc or clang). Some of the optional scripts bundled with the -program may depend on bash, gdb, and similar basic tools. - -If you are using clang, please review README.llvm.md; the LLVM -integration mode can offer substantial performance gains compared to the -traditional approach. +It is recommended to install the newest available gcc, clang and llvm-dev possible in your distribution! -Likewise, if you are using GCC, please review instrumentation/README.gcc_plugin.md. +Note that "make distrib" also builds instrumentation, qemu_mode, unicorn_mode and more. +If you just want plain AFL++, then do "make all". However, compiling and using at least instrumentation is highly recommended for much better results - hence in this case choose: -You may have to change several settings to get optimal results (most notably, -disable crash reporting utilities and switch to a different CPU governor), but -afl-fuzz will guide you through that if necessary. - -## 2. OpenBSD, FreeBSD, NetBSD on x86 - -Similarly to Linux, these platforms are expected to work well and are -regularly tested. Compile everything with GNU make: - -```bash -gmake +```shell +make source-only ``` -Note that BSD make will *not* work; if you do not have gmake on your system, -please install it first. As on Linux, you can use the fuzzer itself without -installation, or install it with: - -``` -sudo gmake install +These build targets exist: + +* all: just the main AFL++ binaries +* binary-only: everything for binary-only fuzzing: qemu_mode, unicorn_mode, libdislocator, libtokencap +* source-only: everything for source code fuzzing: instrumentation, libdislocator, libtokencap +* distrib: everything (for both binary-only and source code fuzzing) +* man: creates simple man pages from the help option of the programs +* install: installs everything you have compiled with the build options above +* clean: cleans everything compiled, not downloads (unless not on a checkout) +* deepclean: cleans everything including downloads +* code-format: format the code, do this before you commit and send a PR please! +* tests: runs test cases to ensure that all features are still working as they should +* unit: perform unit tests (based on cmocka) +* help: shows these build options + +[Unless you are on Mac OS X](https://developer.apple.com/library/archive/qa/qa1118/_index.html), you can also build statically linked versions of the AFL++ binaries by passing the `STATIC=1` argument to make: + +```shell +make STATIC=1 ``` -Keep in mind that if you are using csh as your shell, the syntax of some of the -shell commands given in the README.md and other docs will be different. - -The `llvm` requires a dynamically linked, fully-operational installation of -clang. At least on FreeBSD, the clang binaries are static and do not include -some of the essential tools, so if you want to make it work, you may need to -follow the instructions in README.llvm.md. +These build options exist: -Beyond that, everything should work as advertised. +* STATIC - compile AFL++ static +* ASAN_BUILD - compiles with memory sanitizer for debug purposes +* DEBUG - no optimization, -ggdb3, all warnings and -Werror +* PROFILING - compile with profiling information (gprof) +* INTROSPECTION - compile afl-fuzz with mutation introspection +* NO_PYTHON - disable python support +* NO_SPLICING - disables splicing mutation in afl-fuzz, not recommended for normal fuzzing +* AFL_NO_X86 - if compiling on non-intel/amd platforms +* LLVM_CONFIG - if your distro doesn't use the standard name for llvm-config (e.g. Debian) -The QEMU mode is currently supported only on Linux. I think it's just a QEMU -problem, I couldn't get a vanilla copy of user-mode emulation support working -correctly on BSD at all. +e.g.: `make ASAN_BUILD=1` -## 3. MacOS X on x86 and arm64 (M1) +## MacOS X on x86 and arm64 (M1) -MacOS X should work, but there are some gotchas due to the idiosyncrasies of -the platform. On top of this, I have limited release testing capabilities -and depend mostly on user feedback. +MacOS X should work, but there are some gotchas due to the idiosyncrasies of the platform. +On top of this, we have limited release testing capabilities and depend mostly on user feedback. -To build AFL, install llvm (and perhaps gcc) from brew and follow the general -instructions for Linux. If possible avoid Xcode at all cost. +To build AFL, install llvm (and perhaps gcc) from brew and follow the general instructions for Linux. +If possible, avoid Xcode at all cost. `brew install wget git make cmake llvm gdb` -Be sure to setup PATH to point to the correct clang binaries and use the -freshly installed clang, clang++ and gmake, e.g.: +Be sure to setup `PATH` to point to the correct clang binaries and use the freshly installed clang, clang++ and gmake, e.g.: ``` export PATH="/usr/local/Cellar/llvm/12.0.1/bin/:$PATH" @@ -90,19 +95,20 @@ cd .. gmake install ``` -afl-gcc will fail unless you have GCC installed, but that is using outdated -instrumentation anyway. You don't want that. -Note that afl-clang-lto, afl-gcc-fast and qemu_mode are not working on MacOS. +`afl-gcc` will fail unless you have GCC installed, but that is using outdated instrumentation anyway. +You don't want that. +Note that `afl-clang-lto`, `afl-gcc-fast` and `qemu_mode` are not working on MacOS. + +The crash reporting daemon that comes by default with MacOS X will cause problems with fuzzing. +You need to turn it off: -The crash reporting daemon that comes by default with MacOS X will cause -problems with fuzzing. You need to turn it off: ``` launchctl unload -w /System/Library/LaunchAgents/com.apple.ReportCrash.plist sudo launchctl unload -w /System/Library/LaunchDaemons/com.apple.ReportCrash.Root.plist ``` -The `fork()` semantics on OS X are a bit unusual compared to other unix systems -and definitely don't look POSIX-compliant. This means two things: +The `fork()` semantics on OS X are a bit unusual compared to other unix systems and definitely don't look POSIX-compliant. +This means two things: - Fuzzing will be probably slower than on Linux. In fact, some folks report considerable performance gains by running the jobs inside a Linux VM on @@ -111,13 +117,11 @@ and definitely don't look POSIX-compliant. This means two things: AFL forkserver. If you run into any problems, set `AFL_NO_FORKSRV=1` in the environment before starting afl-fuzz. -User emulation mode of QEMU does not appear to be supported on MacOS X, so -black-box instrumentation mode (`-Q`) will not work. -However Frida mode (`-O`) should work on x86 and arm64 MacOS boxes. +User emulation mode of QEMU does not appear to be supported on MacOS X, so black-box instrumentation mode (`-Q`) will not work. +However, Frida mode (`-O`) should work on x86 and arm64 MacOS boxes. -MacOS X supports SYSV shared memory used by AFL's instrumentation, but the -default settings aren't usable with AFL++. The default settings on 10.14 seem -to be: +MacOS X supports SYSV shared memory used by AFL's instrumentation, but the default settings aren't usable with AFL++. +The default settings on 10.14 seem to be: ```bash $ ipcs -M @@ -130,16 +134,14 @@ shminfo: shmall: 1024 (max amount of shared memory in pages) ``` -To temporarily change your settings to something minimally usable with AFL++, -run these commands as root: +To temporarily change your settings to something minimally usable with AFL++, run these commands as root: ```bash sysctl kern.sysv.shmmax=8388608 sysctl kern.sysv.shmall=4096 ``` -If you're running more than one instance of AFL you likely want to make `shmall` -bigger and increase `shmseg` as well: +If you're running more than one instance of AFL, you likely want to make `shmall` bigger and increase `shmseg` as well: ```bash sysctl kern.sysv.shmmax=8388608 @@ -147,91 +149,4 @@ sysctl kern.sysv.shmseg=48 sysctl kern.sysv.shmall=98304 ``` -See http://www.spy-hill.com/help/apple/SharedMemory.html for documentation for -these settings and how to make them permanent. - -## 4. Linux or *BSD on non-x86 systems - -Standard build will fail on non-x86 systems, but you should be able to -leverage two other options: - - - The LLVM mode (see README.llvm.md), which does not rely on - x86-specific assembly shims. It's fast and robust, but requires a - complete installation of clang. - - The QEMU mode (see qemu_mode/README.md), which can be also used for - fuzzing cross-platform binaries. It's slower and more fragile, but - can be used even when you don't have the source for the tested app. - -If you're not sure what you need, you need the LLVM mode, which is built by -default. - -...and compile your target program with afl-clang-fast or afl-clang-fast++ -instead of the traditional afl-gcc or afl-clang wrappers. - -## 5. Solaris on x86 - -The fuzzer reportedly works on Solaris, but I have not tested this first-hand, -and the user base is fairly small, so I don't have a lot of feedback. - -To get the ball rolling, you will need to use GNU make and GCC or clang. I'm -being told that the stock version of GCC that comes with the platform does not -work properly due to its reliance on a hardcoded location for 'as' (completely -ignoring the `-B` parameter or `$PATH`). - -To fix this, you may want to build stock GCC from the source, like so: - -```sh -./configure --prefix=$HOME/gcc --with-gnu-as --with-gnu-ld \ - --with-gmp-include=/usr/include/gmp --with-mpfr-include=/usr/include/mpfr -make -sudo make install -``` - -Do *not* specify `--with-as=/usr/gnu/bin/as` - this will produce a GCC binary that -ignores the `-B` flag and you will be back to square one. - -Note that Solaris reportedly comes with crash reporting enabled, which causes -problems with crashes being misinterpreted as hangs, similarly to the gotchas -for Linux and MacOS X. AFL does not auto-detect crash reporting on this -particular platform, but you may need to run the following command: - -```sh -coreadm -d global -d global-setid -d process -d proc-setid \ - -d kzone -d log -``` - -User emulation mode of QEMU is not available on Solaris, so black-box -instrumentation mode (`-Q`) will not work. - -## 6. Everything else - -You're on your own. On POSIX-compliant systems, you may be able to compile and -run the fuzzer; and the LLVM and GCC plugin modes may offer a way to instrument -non-x86 code. - -The fuzzer will run on Windows in WSL only. It will not work under Cygwin on in the normal Windows world. It -could be ported to the latter platform fairly easily, but it's a pretty bad -idea, because Cygwin is extremely slow. It makes much more sense to use -VirtualBox or so to run a hardware-accelerated Linux VM; it will run around -20x faster or so. If you have a *really* compelling use case for Cygwin, let -me know. - -Although Android on x86 should theoretically work, the stock kernel may have -SHM support compiled out, and if so, you may have to address that issue first. -It's possible that all you need is this workaround: - - https://github.com/pelya/android-shmem - -Joshua J. Drake notes that the Android linker adds a shim that automatically -intercepts `SIGSEGV` and related signals. To fix this issue and be able to see -crashes, you need to put this at the beginning of the fuzzed program: - -```sh - signal(SIGILL, SIG_DFL); - signal(SIGABRT, SIG_DFL); - signal(SIGBUS, SIG_DFL); - signal(SIGFPE, SIG_DFL); - signal(SIGSEGV, SIG_DFL); -``` - -You may need to `#include ` first. +See [http://www.spy-hill.com/help/apple/SharedMemory.html](http://www.spy-hill.com/help/apple/SharedMemory.html) for documentation for these settings and how to make them permanent. \ No newline at end of file diff --git a/docs/behaviour_changes.md b/docs/behaviour_changes.md deleted file mode 100644 index 8124ed09..00000000 --- a/docs/behaviour_changes.md +++ /dev/null @@ -1,54 +0,0 @@ -# Major behaviour changes in AFL++ - -## From version 3.00 onwards - -With AFL++ 3.13-3.20 we introduce frida_mode (-O) to have an alternative for -binary-only fuzzing. It is slower than Qemu mode but works on MacOS, Android, -iOS etc. - -With AFL++ 3.15 we introduced the following changes from previous behaviours: - * Also -M main mode does not do deterministic fuzzing by default anymore - * afl-cmin and afl-showmap -Ci now descent into subdirectories like - afl-fuzz -i does (but note that afl-cmin.bash does not) - -With AFL++ 3.14 we introduced the following changes from previous behaviours: - * afl-fuzz: deterministic fuzzing it not a default for -M main anymore - * afl-cmin/afl-showmap -i now descends into subdirectories (afl-cmin.bash - however does not) - -With AFL++ 3.10 we introduced the following changes from previous behaviours: - * The '+' feature of the '-t' option now means to auto-calculate the timeout - with the value given being the maximum timeout. The original meaning of - "skipping timeouts instead of abort" is now inherent to the -t option. - -With AFL++ 3.00 we introduced changes that break some previous AFL and AFL++ -behaviours and defaults: - * There are no llvm_mode and gcc_plugin subdirectories anymore and there is - only one compiler: afl-cc. All previous compilers now symlink to this one. - All instrumentation source code is now in the `instrumentation/` folder. - * The gcc_plugin was replaced with a new version submitted by AdaCore that - supports more features. Thank you! - * qemu_mode got upgraded to QEMU 5.1, but to be able to build this a current - ninja build tool version and python3 setuptools are required. - qemu_mode also got new options like snapshotting, instrumenting specific - shared libraries, etc. Additionally QEMU 5.1 supports more CPU targets so - this is really worth it. - * When instrumenting targets, afl-cc will not supersede optimizations anymore - if any were given. This allows to fuzz targets build regularly like those - for debug or release versions. - * afl-fuzz: - * if neither -M or -S is specified, `-S default` is assumed, so more - fuzzers can easily be added later - * `-i` input directory option now descends into subdirectories. It also - does not fatal on crashes and too large files, instead it skips them - and uses them for splicing mutations - * -m none is now default, set memory limits (in MB) with e.g. -m 250 - * deterministic fuzzing is now disabled by default (unless using -M) and - can be enabled with -D - * a caching of testcases can now be performed and can be modified by - editing config.h for TESTCASE_CACHE or by specifying the env variable - `AFL_TESTCACHE_SIZE` (in MB). Good values are between 50-500 (default: 50). - * -M mains do not perform trimming - * examples/ got renamed to utils/ - * libtokencap/ libdislocator/ and qdbi_mode/ were moved to utils/ - * afl-cmin/afl-cmin.bash now search first in PATH and last in AFL_PATH \ No newline at end of file diff --git a/docs/building_installing.md b/docs/building_installing.md deleted file mode 100644 index 8641b702..00000000 --- a/docs/building_installing.md +++ /dev/null @@ -1,78 +0,0 @@ -# Building and installing AFL++ - -An easy way to install AFL++ with everything compiled is available via docker: -You can use the [Dockerfile](Dockerfile) (which has gcc-10 and clang-11 - -hence afl-clang-lto is available!) or just pull directly from the docker hub: - -```shell -docker pull aflplusplus/aflplusplus -docker run -ti -v /location/of/your/target:/src aflplusplus/aflplusplus -``` - -This image is automatically generated when a push to the stable repo happens. -You will find your target source code in /src in the container. - -If you want to build AFL++ yourself you have many options. -The easiest choice is to build and install everything: - -```shell -sudo apt-get update -sudo apt-get install -y build-essential python3-dev automake git flex bison libglib2.0-dev libpixman-1-dev python3-setuptools -# try to install llvm 11 and install the distro default if that fails -sudo apt-get install -y lld-11 llvm-11 llvm-11-dev clang-11 || sudo apt-get install -y lld llvm llvm-dev clang -sudo apt-get install -y gcc-$(gcc --version|head -n1|sed 's/.* //'|sed 's/\..*//')-plugin-dev libstdc++-$(gcc --version|head -n1|sed 's/.* //'|sed 's/\..*//')-dev -git clone https://github.com/AFLplusplus/AFLplusplus -cd AFLplusplus -make distrib -sudo make install -``` - -It is recommended to install the newest available gcc, clang and llvm-dev -possible in your distribution! - -Note that "make distrib" also builds instrumentation, qemu_mode, unicorn_mode and -more. If you just want plain AFL++ then do "make all", however compiling and -using at least instrumentation is highly recommended for much better results - -hence in this case - -```shell -make source-only -``` - -is what you should choose. - -These build targets exist: - -* all: just the main AFL++ binaries -* binary-only: everything for binary-only fuzzing: qemu_mode, unicorn_mode, libdislocator, libtokencap -* source-only: everything for source code fuzzing: instrumentation, libdislocator, libtokencap -* distrib: everything (for both binary-only and source code fuzzing) -* man: creates simple man pages from the help option of the programs -* install: installs everything you have compiled with the build options above -* clean: cleans everything compiled, not downloads (unless not on a checkout) -* deepclean: cleans everything including downloads -* code-format: format the code, do this before you commit and send a PR please! -* tests: runs test cases to ensure that all features are still working as they should -* unit: perform unit tests (based on cmocka) -* help: shows these build options - -[Unless you are on Mac OS X](https://developer.apple.com/library/archive/qa/qa1118/_index.html) you can also build statically linked versions of the -AFL++ binaries by passing the STATIC=1 argument to make: - -```shell -make STATIC=1 -``` - -These build options exist: - -* STATIC - compile AFL++ static -* ASAN_BUILD - compiles with memory sanitizer for debug purposes -* DEBUG - no optimization, -ggdb3, all warnings and -Werror -* PROFILING - compile with profiling information (gprof) -* INTROSPECTION - compile afl-fuzz with mutation introspection -* NO_PYTHON - disable python support -* NO_SPLICING - disables splicing mutation in afl-fuzz, not recommended for normal fuzzing -* AFL_NO_X86 - if compiling on non-intel/amd platforms -* LLVM_CONFIG - if your distro doesn't use the standard name for llvm-config (e.g. Debian) - -e.g.: `make ASAN_BUILD=1` \ No newline at end of file diff --git a/docs/important_changes.md b/docs/important_changes.md new file mode 100644 index 00000000..0c5c2243 --- /dev/null +++ b/docs/important_changes.md @@ -0,0 +1,56 @@ +# Important changes in AFL++ + +This document lists important changes in AFL++, for example, major behaviour changes. + +## From version 3.00 onwards + +With AFL++ 3.13-3.20 we introduce frida_mode (-O) to have an alternative for +binary-only fuzzing. It is slower than Qemu mode but works on MacOS, Android, +iOS etc. + +With AFL++ 3.15 we introduced the following changes from previous behaviours: + * Also -M main mode does not do deterministic fuzzing by default anymore + * afl-cmin and afl-showmap -Ci now descent into subdirectories like + afl-fuzz -i does (but note that afl-cmin.bash does not) + +With AFL++ 3.14 we introduced the following changes from previous behaviours: + * afl-fuzz: deterministic fuzzing it not a default for -M main anymore + * afl-cmin/afl-showmap -i now descends into subdirectories (afl-cmin.bash + however does not) + +With AFL++ 3.10 we introduced the following changes from previous behaviours: + * The '+' feature of the '-t' option now means to auto-calculate the timeout + with the value given being the maximum timeout. The original meaning of + "skipping timeouts instead of abort" is now inherent to the -t option. + +With AFL++ 3.00 we introduced changes that break some previous AFL and AFL++ +behaviours and defaults: + * There are no llvm_mode and gcc_plugin subdirectories anymore and there is + only one compiler: afl-cc. All previous compilers now symlink to this one. + All instrumentation source code is now in the `instrumentation/` folder. + * The gcc_plugin was replaced with a new version submitted by AdaCore that + supports more features. Thank you! + * qemu_mode got upgraded to QEMU 5.1, but to be able to build this a current + ninja build tool version and python3 setuptools are required. + qemu_mode also got new options like snapshotting, instrumenting specific + shared libraries, etc. Additionally QEMU 5.1 supports more CPU targets so + this is really worth it. + * When instrumenting targets, afl-cc will not supersede optimizations anymore + if any were given. This allows to fuzz targets build regularly like those + for debug or release versions. + * afl-fuzz: + * if neither -M or -S is specified, `-S default` is assumed, so more + fuzzers can easily be added later + * `-i` input directory option now descends into subdirectories. It also + does not fatal on crashes and too large files, instead it skips them + and uses them for splicing mutations + * -m none is now default, set memory limits (in MB) with e.g. -m 250 + * deterministic fuzzing is now disabled by default (unless using -M) and + can be enabled with -D + * a caching of testcases can now be performed and can be modified by + editing config.h for TESTCASE_CACHE or by specifying the env variable + `AFL_TESTCACHE_SIZE` (in MB). Good values are between 50-500 (default: 50). + * -M mains do not perform trimming + * examples/ got renamed to utils/ + * libtokencap/ libdislocator/ and qdbi_mode/ were moved to utils/ + * afl-cmin/afl-cmin.bash now search first in PATH and last in AFL_PATH \ No newline at end of file -- cgit 1.4.1 From 70c03944d2b3d166e2a3bb75ac38c1f520b36347 Mon Sep 17 00:00:00 2001 From: llzmb <46303940+llzmb@users.noreply.github.com> Date: Mon, 6 Sep 2021 21:53:49 +0200 Subject: Update FAQ.md --- docs/FAQ.md | 18 +++++++++--------- 1 file changed, 9 insertions(+), 9 deletions(-) (limited to 'docs') diff --git a/docs/FAQ.md b/docs/FAQ.md index 5da0bbcc..68ca3bad 100644 --- a/docs/FAQ.md +++ b/docs/FAQ.md @@ -6,7 +6,7 @@ If you find an interesting or important question missing, submit it via ## General
- What is the difference between AFL and AFL++?

+

What is the difference between AFL and AFL++?

AFL++ is a superior fork to Google's AFL - more speed, more and better mutations, more and better instrumentation, custom module support, etc. @@ -23,13 +23,13 @@ If you find an interesting or important question missing, submit it via

- Where can I find tutorials?

+

Where can I find tutorials?

We compiled a list of tutorials and exercises, see [tutorials.md](tutorials.md).

- What is an "edge"?

+

What is an "edge"?

A program contains `functions`, `functions` contain the compiled machine code. The compiled machine code in a `function` can be in a single or many `basic blocks`. @@ -77,7 +77,7 @@ If you find an interesting or important question missing, submit it via ## Targets

- How can I fuzz a binary-only target?

+

How can I fuzz a binary-only target?

AFL++ is a great fuzzer if you have the source code available. @@ -87,7 +87,7 @@ If you find an interesting or important question missing, submit it via

- How can I fuzz a network service?

+

How can I fuzz a network service?

The short answer is - you cannot, at least not "out of the box". @@ -95,7 +95,7 @@ If you find an interesting or important question missing, submit it via

- How can I fuzz a GUI program?

+

How can I fuzz a GUI program?

Not all GUI programs are suitable for fuzzing. If the GUI program can read the fuzz data from a file without needing any user interaction, then it would be suitable for fuzzing. @@ -105,13 +105,13 @@ If you find an interesting or important question missing, submit it via ## Performance

- How can I improve the fuzzing speed?

+

How can I improve the fuzzing speed?

There are a few things you can do to improve the fuzzing speed, see [best_practices.md#improving-speed](best_practices.md#improving-speed).

- Why is my stability below 100%?

+

Why is my stability below 100%?

Stability is measured by how many percent of the edges in the target are "stable". Sending the same input again and again should take the exact same path through the target every time. @@ -131,7 +131,7 @@ If you find an interesting or important question missing, submit it via ## Troubleshooting

- I got a weird compile error from clang.

+

I got a weird compile error from clang.

If you see this kind of error when trying to instrument a target with afl-cc/afl-clang-fast/afl-clang-lto: -- cgit 1.4.1 From 78d7944bbf4608437563114c0e4291a9a516cfff Mon Sep 17 00:00:00 2001 From: llzmb <46303940+llzmb@users.noreply.github.com> Date: Tue, 7 Sep 2021 14:01:27 +0200 Subject: Update docs/rpc_statsd.md --- docs/rpc_statsd.md | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) (limited to 'docs') diff --git a/docs/rpc_statsd.md b/docs/rpc_statsd.md index cff93b7c..2d340dd7 100644 --- a/docs/rpc_statsd.md +++ b/docs/rpc_statsd.md @@ -66,7 +66,7 @@ For all your fuzzers, only one instance of StatsD, Prometheus, and Grafana is re You can create and move the infrastructure files into a directory of your choice. The directory will store all the required configuration files. -To install and set up StatsD, Prometheus, and Grafana: +To install and set up Prometheus and Grafana: 1. Install Docker and Docker Compose: -- cgit 1.4.1 From f760e80729412a2cd44a12e76b81ccb433626e60 Mon Sep 17 00:00:00 2001 From: vanhauser-thc Date: Tue, 7 Sep 2021 17:15:54 +0200 Subject: add check_binary_signatures for afl-* utils --- docs/Changelog.md | 3 ++- include/common.h | 1 + src/afl-analyze.c | 1 + src/afl-common.c | 64 +++++++++++++++++++++++++++++++++++++++++++++++++++++++ src/afl-showmap.c | 2 ++ src/afl-tmin.c | 1 + 6 files changed, 71 insertions(+), 1 deletion(-) (limited to 'docs') diff --git a/docs/Changelog.md b/docs/Changelog.md index 0ffbef05..de217c2e 100644 --- a/docs/Changelog.md +++ b/docs/Changelog.md @@ -15,7 +15,8 @@ sending a mail to . information on how to deal with instrumenting libraries - fix a regression introduced in 3.10 that resulted in less coverage being detected. thanks to Collin May for reporting! - + - afl-showmap, afl-tmin and afl-analyze now honor persistent mode + for more speed. thanks to dloffre-snl for reporting! - afl-cc: - fix for shared linking on MacOS - llvm and LTO mode verified to work with new llvm 14-dev diff --git a/include/common.h b/include/common.h index 7bba9e91..2ca44301 100644 --- a/include/common.h +++ b/include/common.h @@ -38,6 +38,7 @@ #define STRINGIFY_VAL_SIZE_MAX (16) +u32 check_binary_signatures(u8 *fn); void detect_file_args(char **argv, u8 *prog_in, bool *use_stdin); void print_suggested_envs(char *mispelled_env); void check_environment_vars(char **env); diff --git a/src/afl-analyze.c b/src/afl-analyze.c index e19df3ce..eef08494 100644 --- a/src/afl-analyze.c +++ b/src/afl-analyze.c @@ -1093,6 +1093,7 @@ int main(int argc, char **argv_orig, char **envp) { parse_afl_kill_signal_env(getenv("AFL_KILL_SIGNAL"), SIGKILL); read_initial_file(); + (void)check_binary_signatures(fsrv.target_path); ACTF("Performing dry run (mem limit = %llu MB, timeout = %u ms%s)...", mem_limit, exec_tmout, edges_only ? ", edges only" : ""); diff --git a/src/afl-common.c b/src/afl-common.c index 9ca2b3e8..db19f0a7 100644 --- a/src/afl-common.c +++ b/src/afl-common.c @@ -25,8 +25,12 @@ #include #include +#define _GNU_SOURCE +#define __USE_GNU +#include #include #include +#include #include "debug.h" #include "alloc-inl.h" @@ -51,6 +55,66 @@ u8 last_intr = 0; #define AFL_PATH "/usr/local/lib/afl/" #endif +u32 check_binary_signatures(u8 *fn) { + + int ret = 0, fd = open(fn, O_RDONLY); + if (fd < 0) { PFATAL("Unable to open '%s'", fn); } + struct stat st; + if (fstat(fd, &st) < 0) { PFATAL("Unable to fstat '%s'", fn); } + u32 f_len = st.st_size; + u8 *f_data = mmap(0, f_len, PROT_READ, MAP_PRIVATE, fd, 0); + if (f_data == MAP_FAILED) { PFATAL("Unable to mmap file '%s'", fn); } + close(fd); + + if (memmem(f_data, f_len, PERSIST_SIG, strlen(PERSIST_SIG) + 1)) { + + if (!be_quiet) { OKF(cPIN "Persistent mode binary detected."); } + setenv(PERSIST_ENV_VAR, "1", 1); + ret = 1; + + } else if (getenv("AFL_PERSISTENT")) { + + if (!be_quiet) { + + WARNF("AFL_PERSISTENT is no longer supported and may misbehave!"); + + } + + } else if (getenv("AFL_FRIDA_PERSISTENT_ADDR")) { + + if (!be_quiet) { + + OKF("FRIDA Persistent mode configuration options detected."); + + } + + setenv(PERSIST_ENV_VAR, "1", 1); + ret = 1; + + } + + if (memmem(f_data, f_len, DEFER_SIG, strlen(DEFER_SIG) + 1)) { + + if (!be_quiet) { OKF(cPIN "Deferred forkserver binary detected."); } + setenv(DEFER_ENV_VAR, "1", 1); + ret += 2; + + } else if (getenv("AFL_DEFER_FORKSRV")) { + + if (!be_quiet) { + + WARNF("AFL_DEFER_FORKSRV is no longer supported and may misbehave!"); + + } + + } + + if (munmap(f_data, f_len)) { PFATAL("unmap() failed"); } + + return ret; + +} + void detect_file_args(char **argv, u8 *prog_in, bool *use_stdin) { u32 i = 0; diff --git a/src/afl-showmap.c b/src/afl-showmap.c index 9122cd25..27b1e14a 100644 --- a/src/afl-showmap.c +++ b/src/afl-showmap.c @@ -1189,6 +1189,8 @@ int main(int argc, char **argv_orig, char **envp) { } + (void)check_binary_signatures(fsrv->target_path); + shm_fuzz = ck_alloc(sizeof(sharedmem_t)); /* initialize cmplog_mode */ diff --git a/src/afl-tmin.c b/src/afl-tmin.c index 792770e0..dff51e84 100644 --- a/src/afl-tmin.c +++ b/src/afl-tmin.c @@ -1209,6 +1209,7 @@ int main(int argc, char **argv_orig, char **envp) { fsrv->shmem_fuzz = map + sizeof(u32); read_initial_file(); + (void)check_binary_signatures(fsrv->target_path); if (!fsrv->qemu_mode && !unicorn_mode) { -- cgit 1.4.1 From 6546a0a5fd5532464916c6c4adfbb22d87a5acd5 Mon Sep 17 00:00:00 2001 From: llzmb <46303940+llzmb@users.noreply.github.com> Date: Fri, 10 Sep 2021 14:26:51 +0200 Subject: Update docs/rpc_statsd.md --- docs/rpc_statsd.md | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) (limited to 'docs') diff --git a/docs/rpc_statsd.md b/docs/rpc_statsd.md index 2d340dd7..288d56cb 100644 --- a/docs/rpc_statsd.md +++ b/docs/rpc_statsd.md @@ -62,7 +62,7 @@ The easiest way to install and set up the infrastructure is with Docker and Dock Depending on your fuzzing setup and infrastructure, you may not want to run these applications on your fuzzer instances. This setup may be modified before use in a production environment; for example, adding passwords, creating volumes for storage, tweaking the metrics gathering to get host metrics (CPU, RAM, and so on). -For all your fuzzers, only one instance of StatsD, Prometheus, and Grafana is required. +For all your fuzzing instances, only one instance of Prometheus and Grafana is required. The [statsd exporter](https://registry.hub.docker.com/r/prom/statsd-exporter) converts the StatsD metrics to Prometheus. If you are using a provider that supports StatsD directly, you can skip this part of the setup." You can create and move the infrastructure files into a directory of your choice. The directory will store all the required configuration files. -- cgit 1.4.1 From 82ef4a90b0ff12a297e1bc3f1c8256ae9ace4f25 Mon Sep 17 00:00:00 2001 From: llzmb <46303940+llzmb@users.noreply.github.com> Date: Fri, 10 Sep 2021 21:37:55 +0200 Subject: Fix links --- README.md | 2 +- docs/best_practices.md | 2 +- docs/branches.md | 2 +- docs/fuzzing_expert.md | 2 +- docs/interpreting_output.md | 2 +- docs/known_limitations.md | 2 +- docs/life_pro_tips.md | 20 ++++++++++---------- docs/rpc_statsd.md | 2 +- docs/triaging_crashes.md | 2 +- 9 files changed, 18 insertions(+), 18 deletions(-) (limited to 'docs') diff --git a/README.md b/README.md index eb99d9bd..25e47ef2 100644 --- a/README.md +++ b/README.md @@ -25,7 +25,7 @@ You are free to copy, modify, and distribute AFL++ with attribution under the te Here is some information to get you started: -* For releases, please see the [Releases](https://github.com/AFLplusplus/AFLplusplus/releases) tab and [branches](docs/branches.md). Also take a look at the list of [important behaviour changes in AFL++](docs/important_changes.md). +* For releases, please see the [Releases](https://github.com/AFLplusplus/AFLplusplus/releases) tab and [branches](docs/branches.md). Also take a look at the list of [important changes in AFL++](docs/important_changes.md). * If you want to use AFL++ for your academic work, check the [papers page](https://aflplus.plus/papers/) on the website. * To cite our work, look at the [Cite](#cite) section. * For comparisons, use the fuzzbench `aflplusplus` setup, or use `afl-clang-fast` with `AFL_LLVM_CMPLOG=1`. You can find the `aflplusplus` default configuration on Google's [fuzzbench](https://github.com/google/fuzzbench/tree/master/fuzzers/aflplusplus). diff --git a/docs/best_practices.md b/docs/best_practices.md index 23fa237d..1521748a 100644 --- a/docs/best_practices.md +++ b/docs/best_practices.md @@ -59,7 +59,7 @@ which allows you to define network state with different type of data packets. 1. Use [llvm_mode](../instrumentation/README.llvm.md): afl-clang-lto (llvm >= 11) or afl-clang-fast (llvm >= 9 recommended). 2. Use [persistent mode](../instrumentation/README.persistent_mode.md) (x2-x20 speed increase). 3. Use the [AFL++ snapshot module](https://github.com/AFLplusplus/AFL-Snapshot-LKM) (x2 speed increase). -4. If you do not use shmem persistent mode, use `AFL_TMPDIR` to put the input file directory on a tempfs location, see [docs/env_variables.md](docs/env_variables.md). +4. If you do not use shmem persistent mode, use `AFL_TMPDIR` to put the input file directory on a tempfs location, see [env_variables.md](env_variables.md). 5. Improve Linux kernel performance: modify `/etc/default/grub`, set `GRUB_CMDLINE_LINUX_DEFAULT="ibpb=off ibrs=off kpti=off l1tf=off mds=off mitigations=off no_stf_barrier noibpb noibrs nopcid nopti nospec_store_bypass_disable nospectre_v1 nospectre_v2 pcid=off pti=off spec_store_bypass_disable=off spectre_v2=off stf_barrier=off"`; then `update-grub` and `reboot` (warning: makes the system less secure). 6. Running on an `ext2` filesystem with `noatime` mount option will be a bit faster than on any other journaling filesystem. 7. Use your cores! [README.md:3.b) Using multiple cores/threads](../README.md#b-using-multiple-coresthreads). diff --git a/docs/branches.md b/docs/branches.md index 1e4ebbb2..81c73a0f 100644 --- a/docs/branches.md +++ b/docs/branches.md @@ -7,4 +7,4 @@ The following branches exist: * [dev](https://github.com/AFLplusplus/AFLplusplus/tree/dev): development state of AFL++ - bleeding edge and you might catch a checkout which does not compile or has a bug. *We only accept PRs in dev!!* * (any other): experimental branches to work on specific features or testing new functionality or changes. -For releases, please see the [Releases](https://github.com/AFLplusplus/AFLplusplus/releases) tab. Also take a look at the list of [major behaviour changes in AFL++](behaviour_changes.md). \ No newline at end of file +For releases, please see the [Releases](https://github.com/AFLplusplus/AFLplusplus/releases) tab. Also take a look at the list of [important changes in AFL++](important_changes.md). \ No newline at end of file diff --git a/docs/fuzzing_expert.md b/docs/fuzzing_expert.md index 23b24ad0..37ab8e2f 100644 --- a/docs/fuzzing_expert.md +++ b/docs/fuzzing_expert.md @@ -620,4 +620,4 @@ This is basically all you need to know to professionally run fuzzing campaigns. If you want to know more, the tons of texts in [docs/](./) will have you covered. Note that there are also a lot of tools out there that help fuzzing with AFL++ -(some might be deprecated or unsupported), see [links_tools.md](links_tools.md). \ No newline at end of file +(some might be deprecated or unsupported), see [tools.md](tools.md). \ No newline at end of file diff --git a/docs/interpreting_output.md b/docs/interpreting_output.md index 54ad76df..364d2cf4 100644 --- a/docs/interpreting_output.md +++ b/docs/interpreting_output.md @@ -1,6 +1,6 @@ # Interpreting output -See the [docs/status_screen.md](docs/status_screen.md) file for information on +See the [status_screen.md](status_screen.md) file for information on how to interpret the displayed stats and monitor the health of the process. Be sure to consult this file especially if any UI elements are highlighted in red. diff --git a/docs/known_limitations.md b/docs/known_limitations.md index deb539e2..b5fc8446 100644 --- a/docs/known_limitations.md +++ b/docs/known_limitations.md @@ -15,7 +15,7 @@ Here are some of the most important caveats for AFL: To work around this, you can comment out the relevant checks (see utils/libpng_no_checksum/ for inspiration); if this is not possible, you can also write a postprocessor, one of the hooks of custom mutators. - See [docs/custom_mutators.md](docs/custom_mutators.md) on how to use + See [custom_mutators.md](custom_mutators.md) on how to use `AFL_CUSTOM_MUTATOR_LIBRARY` - There are some unfortunate trade-offs with ASAN and 64-bit binaries. This diff --git a/docs/life_pro_tips.md b/docs/life_pro_tips.md index 13ffcea0..e79bcafa 100644 --- a/docs/life_pro_tips.md +++ b/docs/life_pro_tips.md @@ -27,16 +27,16 @@ Run the bundled `afl-plot` utility to generate browser-friendly graphs. Check out the `fuzzer_stats` file in the AFL output dir or try `afl-whatsup`. ## Puzzled by something showing up in red or purple in the AFL UI? -It could be important - consult docs/status_screen.md right away! +It could be important - consult [status_screen.md](status_screen.md) right away! ## Know your target? Convert it to persistent mode for a huge performance gain! -Consult section #5 in README.llvm.md for tips. +Consult section #5 in [instrumentation/README.llvm.md](../instrumentation/README.llvm.md) for tips. ## Using clang? -Check out instrumentation/ for a faster alternative to afl-gcc! +Check out [instrumentation/](../instrumentation/) for a faster alternative to afl-gcc! ## Did you know that AFL can fuzz closed-source or cross-platform binaries? -Check out qemu_mode/README.md and unicorn_mode/README.md for more. +Check out [qemu_mode/README.md](../qemu_mode/README.md) and [unicorn_mode/README.md](../unicorn_mode/README.md) for more. ## Did you know that afl-fuzz can minimize any test case for you? Try the bundled `afl-tmin` tool - and get small repro files fast! @@ -46,7 +46,7 @@ Try the bundled `afl-tmin` tool - and get small repro files fast! ## Trouble dealing with a machine uprising? Relax, we've all been there. -Find essential survival tips at http://lcamtuf.coredump.cx/prep/. +Find essential survival tips at [http://lcamtuf.coredump.cx/prep/](http://lcamtuf.coredump.cx/prep/). ## Want to automatically spot non-crashing memory handling bugs? @@ -54,7 +54,7 @@ Try running an AFL-generated corpus through ASAN, MSAN, or Valgrind. ## Good selection of input files is critical to a successful fuzzing job. -See docs/perf_tips.md for pro tips. +See [perf_tips.md](perf_tips.md) for pro tips. ## You can improve the odds of automatically spotting stack corruption issues. @@ -70,18 +70,18 @@ sanity-checking `assert()` / `abort()` statements to effortlessly catch logic bu ## Hey kid... pssst... want to figure out how AFL really works? -Check out docs/technical_details.md for all the gory details in one place! +Check out [technical_details.md](technical_details.md) for all the gory details in one place! ## There's a ton of third-party helper tools designed to work with AFL! -Be sure to check out docs/sister_projects.md before writing your own. +Be sure to check out [sister_projects.md](sister_projects.md) before writing your own. ## Need to fuzz the command-line arguments of a particular program? -You can find a simple solution in utils/argv_fuzzing. +You can find a simple solution in [utils/argv_fuzzing](../utils/argv_fuzzing/). ## Attacking a format that uses checksums? Remove the checksum-checking code or use a postprocessor! -See `afl_custom_post_process` in custom_mutators/examples/example.c for more. +See `afl_custom_post_process` in [custom_mutators/examples/example.c](../custom_mutators/examples/example.c) for more. diff --git a/docs/rpc_statsd.md b/docs/rpc_statsd.md index 898ad099..efbd550b 100644 --- a/docs/rpc_statsd.md +++ b/docs/rpc_statsd.md @@ -41,7 +41,7 @@ To enable the StatsD reporting on your fuzzer instances, you need to set the env Setting `AFL_STATSD_TAGS_FLAVOR` to the provider of your choice will assign tags / labels to each metric based on their format. The possible values are `dogstatsd`, `librato`, `signalfx` or `influxdb`. -For more information on these env vars, check out `docs/env_variables.md`. +For more information on these env vars, check out [env_variables.md](env_variables.md). The simplest way of using this feature is to use any metric provider and change the host/port of your StatsD daemon, with `AFL_STATSD_HOST` and `AFL_STATSD_PORT`, if required (defaults are `localhost` and port `8125`). diff --git a/docs/triaging_crashes.md b/docs/triaging_crashes.md index 1857c4b1..21ccecaa 100644 --- a/docs/triaging_crashes.md +++ b/docs/triaging_crashes.md @@ -43,4 +43,4 @@ file, attempts to sequentially flip bytes, and observes the behavior of the tested program. It then color-codes the input based on which sections appear to be critical, and which are not; while not bulletproof, it can often offer quick insights into complex file formats. More info about its operation can be found -near the end of [docs/technical_details.md](docs/technical_details.md). \ No newline at end of file +near the end of [technical_details.md](technical_details.md). \ No newline at end of file -- cgit 1.4.1 From 51b2e86ec077c0b67ef1b54a9a30288b74c01be0 Mon Sep 17 00:00:00 2001 From: vanhauser-thc Date: Wed, 15 Sep 2021 12:28:05 +0200 Subject: fix links --- GNUmakefile | 2 +- afl-system-config | 2 +- docs/ci_fuzzing.md | 2 +- docs/fuzzing_binary-only_targets.md | 5 +++-- docs/fuzzing_expert.md | 2 +- 5 files changed, 7 insertions(+), 6 deletions(-) (limited to 'docs') diff --git a/GNUmakefile b/GNUmakefile index 376f6e9a..0a6f3950 100644 --- a/GNUmakefile +++ b/GNUmakefile @@ -541,7 +541,7 @@ test_build: afl-cc afl-gcc afl-as afl-showmap # echo 1 | ASAN_OPTIONS=detect_leaks=0 ./afl-showmap -m none -q -o .test-instr1 ./test-instr # @rm -f test-instr # @cmp -s .test-instr0 .test-instr1; DR="$$?"; rm -f .test-instr0 .test-instr1; if [ "$$DR" = "0" ]; then echo; echo "Oops, the instrumentation of afl-gcc does not seem to be behaving correctly!"; \ -# gcc -v 2>&1 | grep -q -- --with-as= && ( echo; echo "Gcc is configured not to use an external assembler with the -B option."; echo "See docs/INSTALL.md section 5 how to build a -B enabled gcc." ) || \ +# gcc -v 2>&1 | grep -q -- --with-as= && ( echo; echo "Gcc is configured not to use an external assembler with the -B option." ) || \ # ( echo; echo "Please post to https://github.com/AFLplusplus/AFLplusplus/issues to troubleshoot the issue." ); echo; exit 0; fi # @echo # @echo "[+] All right, the instrumentation of afl-gcc seems to be working!" diff --git a/afl-system-config b/afl-system-config index dbdbbf1f..3c14ba55 100755 --- a/afl-system-config +++ b/afl-system-config @@ -52,7 +52,7 @@ if [ "$PLATFORM" = "Linux" ] ; then echo ' /etc/default/grub:GRUB_CMDLINE_LINUX_DEFAULT="ibpb=off ibrs=off kpti=0 l1tf=off mds=off mitigations=off no_stf_barrier noibpb noibrs nopcid nopti nospec_store_bypass_disable nospectre_v1 nospectre_v2 pcid=off pti=off spec_store_bypass_disable=off spectre_v2=off stf_barrier=off srbds=off noexec=off noexec32=off tsx=on tsx_async_abort=off arm64.nopauth audit=0 hardened_usercopy=off ssbd=force-off"' echo } - echo If you run fuzzing instances in docker, run them with \"--security-opt seccomp=unconfined\" for more speed + echo If you run fuzzing instances in docker, run them with \"--security-opt seccomp=unconfined\" for more speed. echo DONE=1 fi diff --git a/docs/ci_fuzzing.md b/docs/ci_fuzzing.md index 316059f8..8d1a2f99 100644 --- a/docs/ci_fuzzing.md +++ b/docs/ci_fuzzing.md @@ -26,4 +26,4 @@ Some notes on CI Fuzzing - this fuzzing is different to normal fuzzing campaigns `-M` enables old queue handling etc. which is good for a fuzzing campaign but not good for short CI runs. How this can look like can e.g. be seen at AFL++'s setup in Google's [oss-fuzz](https://github.com/google/oss-fuzz/blob/master/infra/base-images/base-builder/compile_afl) -and [clusterfuzz](https://github.com/google/clusterfuzz/blob/master/src/python/bot/fuzzers/afl/launcher.py). \ No newline at end of file +and [clusterfuzz](https://github.com/google/clusterfuzz/blob/master/src/clusterfuzz/_internal/bot/fuzzers/afl/launcher.py). diff --git a/docs/fuzzing_binary-only_targets.md b/docs/fuzzing_binary-only_targets.md index a39e40a0..8b3bbeff 100644 --- a/docs/fuzzing_binary-only_targets.md +++ b/docs/fuzzing_binary-only_targets.md @@ -51,7 +51,7 @@ make ``` For additional instructions and caveats, see [frida_mode/README.md](../frida_mode/README.md). -If possible you should use the persistent mode, see [qemu_frida/README.persistent.md](../qemu_frida/README.persistent.md). +If possible you should use the persistent mode, see [qemu_frida/README.md](../qemu_frida/README.md). The mode is approximately 2-5x slower than compile-time instrumentation, and is less conducive to parallelization. @@ -71,7 +71,8 @@ cd unicorn_mode If the goal is to fuzz a dynamic library then there are two options available. For both you need to write a small harness that loads and calls the library. -Faster is the frida solution: [utils/afl_frida/README.md](../utils/afl_frida/README.md) +Then you fuzz this with either frida_mode or qemu_mode, and either use +`AFL_INST_LIBS=1` or `AFL_QEMU/FRIDA_INST_RANGES` Another, less precise and slower option is using ptrace with debugger interrupt instrumentation: [utils/afl_untracer/README.md](../utils/afl_untracer/README.md). diff --git a/docs/fuzzing_expert.md b/docs/fuzzing_expert.md index 23b24ad0..7695e21f 100644 --- a/docs/fuzzing_expert.md +++ b/docs/fuzzing_expert.md @@ -472,7 +472,7 @@ If you are using AFL spinoffs or AFL conforming fuzzers, then just use the same -o directory and give it a unique `-S` name. Examples are: * [Fuzzolic](https://github.com/season-lab/fuzzolic) - * [symcc](https://github.com/eurecom-s/symcc/) + * [symcc](https://github.com/eurecom-s3/symcc/) * [Eclipser](https://github.com/SoftSec-KAIST/Eclipser/) * [AFLsmart](https://github.com/aflsmart/aflsmart) * [FairFuzz](https://github.com/carolemieux/afl-rb) -- cgit 1.4.1 From 4473904bc0de7011a77309d96f7090a51c8fe768 Mon Sep 17 00:00:00 2001 From: vanhauser-thc Date: Fri, 1 Oct 2021 13:25:02 +0200 Subject: fix -n --- docs/Changelog.md | 1 + src/afl-fuzz-stats.c | 5 +++-- src/afl-fuzz.c | 2 +- unicorn_mode/unicornafl | 2 +- 4 files changed, 6 insertions(+), 4 deletions(-) (limited to 'docs') diff --git a/docs/Changelog.md b/docs/Changelog.md index de217c2e..dad5fee2 100644 --- a/docs/Changelog.md +++ b/docs/Changelog.md @@ -15,6 +15,7 @@ sending a mail to . information on how to deal with instrumenting libraries - fix a regression introduced in 3.10 that resulted in less coverage being detected. thanks to Collin May for reporting! + - fix -n dumb mode (nobody should use this) - afl-showmap, afl-tmin and afl-analyze now honor persistent mode for more speed. thanks to dloffre-snl for reporting! - afl-cc: diff --git a/src/afl-fuzz-stats.c b/src/afl-fuzz-stats.c index eb1fe2d9..870ba69a 100644 --- a/src/afl-fuzz-stats.c +++ b/src/afl-fuzz-stats.c @@ -560,8 +560,9 @@ void show_stats(afl_state_t *afl) { /* Roughly every minute, update fuzzer stats and save auto tokens. */ - if (unlikely(afl->force_ui_update || - cur_ms - afl->stats_last_stats_ms > STATS_UPDATE_SEC * 1000)) { + if (unlikely(!afl->non_instrumented_mode && + (afl->force_ui_update || + cur_ms - afl->stats_last_stats_ms > STATS_UPDATE_SEC * 1000))) { afl->stats_last_stats_ms = cur_ms; write_stats_file(afl, t_bytes, t_byte_ratio, stab_ratio, diff --git a/src/afl-fuzz.c b/src/afl-fuzz.c index 8ffc0e77..87da9798 100644 --- a/src/afl-fuzz.c +++ b/src/afl-fuzz.c @@ -1918,7 +1918,7 @@ int main(int argc, char **argv_orig, char **envp) { } - write_stats_file(afl, 0, 0, 0, 0); + if (!afl->non_instrumented_mode) { write_stats_file(afl, 0, 0, 0, 0); } maybe_update_plot_file(afl, 0, 0, 0); save_auto(afl); diff --git a/unicorn_mode/unicornafl b/unicorn_mode/unicornafl index 019b8715..c0e03d2c 160000 --- a/unicorn_mode/unicornafl +++ b/unicorn_mode/unicornafl @@ -1 +1 @@ -Subproject commit 019b871539fe9ed3f41d882385a8b02c243d49ad +Subproject commit c0e03d2c6b55a22025324f121746b41b1e756fb8 -- cgit 1.4.1 From 46683d651656f1876f6d4aeb24807ed71fa91237 Mon Sep 17 00:00:00 2001 From: vanhauser-thc Date: Mon, 4 Oct 2021 08:19:42 +0200 Subject: update docs --- README.md | 20 ++++++++++++++++---- docs/fuzzing_expert.md | 7 ++++++- qemu_mode/qemuafl | 2 +- unicorn_mode/unicornafl | 2 +- 4 files changed, 24 insertions(+), 7 deletions(-) (limited to 'docs') diff --git a/README.md b/README.md index db6a70b5..76ef8448 100644 --- a/README.md +++ b/README.md @@ -66,17 +66,29 @@ A common way to do this would be: make clean all 2. Get a small but valid input file that makes sense to the program. -When fuzzing verbose syntax (SQL, HTTP, etc), create a dictionary as described in [dictionaries/README.md](../dictionaries/README.md), too. +When fuzzing verbose syntax (SQL, HTTP, etc), create a dictionary as described +in [dictionaries/README.md](../dictionaries/README.md), too. 3. If the program reads from stdin, run `afl-fuzz` like so: - ./afl-fuzz -i testcase_dir -o findings_dir -- \ - /path/to/tested/program [...program's cmdline...] +``` + ./afl-fuzz -i seeds_dir -o output_dir -- \ + /path/to/tested/program [...program's cmdline...] +``` - If the program takes input from a file, you can put `@@` in the program's command line; AFL will put an auto-generated file name in there for you. + To add a dictionary, add `-x /path/to/dictionary.txt` to afl-fuzz. + + If the program takes input from a file, you can put `@@` in the program's + command line; AFL will put an auto-generated file name in there for you. 4. Investigate anything shown in red in the fuzzer UI by promptly consulting [docs/status_screen.md](docs/status_screen.md). +5. You will find found crashes and hangs in the subdirectories `crashes/` and + `hangs/` in the `-o output_dir` directory. You can replay the crashes by + feeding them to the target, e.g.: + `cat output_dir/crashes/id:000000,* | /path/to/tested/program [...program's cmdline...]` + You can generate cores or use gdb directly to follow up the crashes. + ## Contact Questions? Concerns? Bug reports? diff --git a/docs/fuzzing_expert.md b/docs/fuzzing_expert.md index 7695e21f..ca884159 100644 --- a/docs/fuzzing_expert.md +++ b/docs/fuzzing_expert.md @@ -540,6 +540,11 @@ To have only the summary use the `-s` switch e.g.: `afl-whatsup -s out/` If you have multiple servers then use the command after a sync, or you have to execute this script per server. +Another tool to inspect the current state and history of a specific instance +is afl-plot, which generates an index.html file and a graphs that show how +the fuzzing instance is performing. +The syntax is `afl-plot instance_dir web_dir`, e.g. `afl-plot out/default /srv/www/htdocs/plot` + #### e) Stopping fuzzing, restarting fuzzing, adding new seeds To stop an afl-fuzz run, simply press Control-C. @@ -620,4 +625,4 @@ This is basically all you need to know to professionally run fuzzing campaigns. If you want to know more, the tons of texts in [docs/](./) will have you covered. Note that there are also a lot of tools out there that help fuzzing with AFL++ -(some might be deprecated or unsupported), see [links_tools.md](links_tools.md). \ No newline at end of file +(some might be deprecated or unsupported), see [links_tools.md](links_tools.md). diff --git a/qemu_mode/qemuafl b/qemu_mode/qemuafl index 86dead4d..a6758d1c 160000 --- a/qemu_mode/qemuafl +++ b/qemu_mode/qemuafl @@ -1 +1 @@ -Subproject commit 86dead4dcb1aae7181fbf6b5f3706eee9f842e3a +Subproject commit a6758d1cc3e4dde88fca3f0b3a903581b7c8b2e5 diff --git a/unicorn_mode/unicornafl b/unicorn_mode/unicornafl index 1c47d1eb..c0e03d2c 160000 --- a/unicorn_mode/unicornafl +++ b/unicorn_mode/unicornafl @@ -1 +1 @@ -Subproject commit 1c47d1ebc7e904ad4efc1370f23e269fb9ac3f93 +Subproject commit c0e03d2c6b55a22025324f121746b41b1e756fb8 -- cgit 1.4.1 From f6fbbf8150c8a41b7cd40a2413b1c6f66b24c6c8 Mon Sep 17 00:00:00 2001 From: Kuang-che Wu Date: Sun, 10 Oct 2021 21:03:43 +0800 Subject: Fix document paths. --- README.md | 8 ++++---- docs/best_practices.md | 6 +++--- docs/branches.md | 2 +- docs/env_variables.md | 4 ++-- docs/fuzzing_expert.md | 4 ++-- docs/interpreting_output.md | 4 ++-- docs/known_limitations.md | 4 ++-- docs/parallel_fuzzing.md | 2 +- docs/rpc_statsd.md | 4 ++-- docs/triaging_crashes.md | 2 +- instrumentation/README.laf-intel.md | 5 ++--- instrumentation/README.llvm.md | 2 +- 12 files changed, 23 insertions(+), 24 deletions(-) (limited to 'docs') diff --git a/README.md b/README.md index 76ef8448..1a22dd12 100644 --- a/README.md +++ b/README.md @@ -25,7 +25,7 @@ You are free to copy, modify, and distribute AFL++ with attribution under the te Here is some information to get you started: -* For releases, please see the [Releases](https://github.com/AFLplusplus/AFLplusplus/releases) tab and [branches](docs/branches.md). Also take a look at the list of [major behaviour changes in AFL++](docs/behaviour_changes.md). +* For releases, please see the [Releases](https://github.com/AFLplusplus/AFLplusplus/releases) tab and [branches](docs/branches.md). Also take a look at the list of [major changes in AFL++](docs/important_changes.md). * If you want to use AFL++ for your academic work, check the [papers page](https://aflplus.plus/papers/) on the website. * To cite our work, look at the [Cite](#cite) section. * For comparisons, use the fuzzbench `aflplusplus` setup, or use `afl-clang-fast` with `AFL_LLVM_CMPLOG=1`. You can find the `aflplusplus` default configuration on Google's [fuzzbench](https://github.com/google/fuzzbench/tree/master/fuzzers/aflplusplus). @@ -67,7 +67,7 @@ A common way to do this would be: 2. Get a small but valid input file that makes sense to the program. When fuzzing verbose syntax (SQL, HTTP, etc), create a dictionary as described -in [dictionaries/README.md](../dictionaries/README.md), too. +in [dictionaries/README.md](dictionaries/README.md), too. 3. If the program reads from stdin, run `afl-fuzz` like so: @@ -94,7 +94,7 @@ in [dictionaries/README.md](../dictionaries/README.md), too. Questions? Concerns? Bug reports? * The contributors can be reached via [https://github.com/AFLplusplus/AFLplusplus](https://github.com/AFLplusplus/AFLplusplus). -* Take a look at our [FAQ](docs/faq.md). If you find an interesting or important question missing, submit it via +* Take a look at our [FAQ](docs/FAQ.md). If you find an interesting or important question missing, submit it via [https://github.com/AFLplusplus/AFLplusplus/discussions](https://github.com/AFLplusplus/AFLplusplus/discussions). * There is a mailing list for the AFL/AFL++ project ([browse archive](https://groups.google.com/group/afl-users)). To compare notes with other users or to get notified about major new features, send an email to . * Or join the [Awesome Fuzzing](https://discord.gg/gCraWct) Discord server. @@ -191,4 +191,4 @@ If you use AFL++ in scientific work, consider citing [our paper](https://www.use } ``` -

\ No newline at end of file +
diff --git a/docs/best_practices.md b/docs/best_practices.md index 23fa237d..0708d49d 100644 --- a/docs/best_practices.md +++ b/docs/best_practices.md @@ -59,10 +59,10 @@ which allows you to define network state with different type of data packets. 1. Use [llvm_mode](../instrumentation/README.llvm.md): afl-clang-lto (llvm >= 11) or afl-clang-fast (llvm >= 9 recommended). 2. Use [persistent mode](../instrumentation/README.persistent_mode.md) (x2-x20 speed increase). 3. Use the [AFL++ snapshot module](https://github.com/AFLplusplus/AFL-Snapshot-LKM) (x2 speed increase). -4. If you do not use shmem persistent mode, use `AFL_TMPDIR` to put the input file directory on a tempfs location, see [docs/env_variables.md](docs/env_variables.md). +4. If you do not use shmem persistent mode, use `AFL_TMPDIR` to put the input file directory on a tempfs location, see [env_variables.md](env_variables.md). 5. Improve Linux kernel performance: modify `/etc/default/grub`, set `GRUB_CMDLINE_LINUX_DEFAULT="ibpb=off ibrs=off kpti=off l1tf=off mds=off mitigations=off no_stf_barrier noibpb noibrs nopcid nopti nospec_store_bypass_disable nospectre_v1 nospectre_v2 pcid=off pti=off spec_store_bypass_disable=off spectre_v2=off stf_barrier=off"`; then `update-grub` and `reboot` (warning: makes the system less secure). 6. Running on an `ext2` filesystem with `noatime` mount option will be a bit faster than on any other journaling filesystem. -7. Use your cores! [README.md:3.b) Using multiple cores/threads](../README.md#b-using-multiple-coresthreads). +7. Use your cores! [fuzzing_expert.md:b) Using multiple cores](fuzzing_expert.md#b-using-multiple-cores). ### Improving stability @@ -117,4 +117,4 @@ Four steps are required to do this and it also requires quite some knowledge of Recompile, fuzz it, be happy :) - This link explains this process for [Fuzzbench](https://github.com/google/fuzzbench/issues/677). \ No newline at end of file + This link explains this process for [Fuzzbench](https://github.com/google/fuzzbench/issues/677). diff --git a/docs/branches.md b/docs/branches.md index 1e4ebbb2..98fd6827 100644 --- a/docs/branches.md +++ b/docs/branches.md @@ -7,4 +7,4 @@ The following branches exist: * [dev](https://github.com/AFLplusplus/AFLplusplus/tree/dev): development state of AFL++ - bleeding edge and you might catch a checkout which does not compile or has a bug. *We only accept PRs in dev!!* * (any other): experimental branches to work on specific features or testing new functionality or changes. -For releases, please see the [Releases](https://github.com/AFLplusplus/AFLplusplus/releases) tab. Also take a look at the list of [major behaviour changes in AFL++](behaviour_changes.md). \ No newline at end of file +For releases, please see the [Releases](https://github.com/AFLplusplus/AFLplusplus/releases) tab. Also take a look at the list of [major changes in AFL++](important_changes.md). diff --git a/docs/env_variables.md b/docs/env_variables.md index 0686f1a8..5f5c2510 100644 --- a/docs/env_variables.md +++ b/docs/env_variables.md @@ -2,7 +2,7 @@ This document discusses the environment variables used by American Fuzzy Lop++ to expose various exotic functions that may be (rarely) useful for power - users or for some types of custom fuzzing setups. See [README.md](README.md) for the general + users or for some types of custom fuzzing setups. See [../README.md](../README.md) for the general instruction manual. Note that most tools will warn on any unknown AFL environment variables. @@ -422,7 +422,7 @@ checks or alter some of the more exotic semantics of the tool: - Setting `AFL_FORCE_UI` will force painting the UI on the screen even if no valid terminal was detected (for virtual consoles) - - If you are using persistent mode (you should, see [instrumentation/README.persistent_mode.md](instrumentation/README.persistent_mode.md)) + - If you are using persistent mode (you should, see [instrumentation/README.persistent_mode.md](../instrumentation/README.persistent_mode.md)) some targets keep inherent state due which a detected crash testcase does not crash the target again when the testcase is given. To be able to still re-trigger these crashes you can use the `AFL_PERSISTENT_RECORD` variable diff --git a/docs/fuzzing_expert.md b/docs/fuzzing_expert.md index ca884159..ef3f8a4e 100644 --- a/docs/fuzzing_expert.md +++ b/docs/fuzzing_expert.md @@ -613,7 +613,7 @@ switch or honggfuzz. * If you do not use shmem persistent mode, use `AFL_TMPDIR` to point the input file on a tempfs location, see [env_variables.md](env_variables.md) * Linux: Improve kernel performance: modify `/etc/default/grub`, set `GRUB_CMDLINE_LINUX_DEFAULT="ibpb=off ibrs=off kpti=off l1tf=off mds=off mitigations=off no_stf_barrier noibpb noibrs nopcid nopti nospec_store_bypass_disable nospectre_v1 nospectre_v2 pcid=off pti=off spec_store_bypass_disable=off spectre_v2=off stf_barrier=off"`; then `update-grub` and `reboot` (warning: makes the system more insecure) - you can also just run `sudo afl-persistent-config` * Linux: Running on an `ext2` filesystem with `noatime` mount option will be a bit faster than on any other journaling filesystem - * Use your cores! [3.b) Using multiple cores/threads](#b-using-multiple-coresthreads) + * Use your cores! [b) Using multiple cores](#b-using-multiple-cores) * Run `sudo afl-system-config` before starting the first afl-fuzz instance after a reboot ### The End @@ -625,4 +625,4 @@ This is basically all you need to know to professionally run fuzzing campaigns. If you want to know more, the tons of texts in [docs/](./) will have you covered. Note that there are also a lot of tools out there that help fuzzing with AFL++ -(some might be deprecated or unsupported), see [links_tools.md](links_tools.md). +(some might be deprecated or unsupported), see [tools.md](tools.md). diff --git a/docs/interpreting_output.md b/docs/interpreting_output.md index 54ad76df..327a0ac0 100644 --- a/docs/interpreting_output.md +++ b/docs/interpreting_output.md @@ -1,6 +1,6 @@ # Interpreting output -See the [docs/status_screen.md](docs/status_screen.md) file for information on +See the [status_screen.md](status_screen.md) file for information on how to interpret the displayed stats and monitor the health of the process. Be sure to consult this file especially if any UI elements are highlighted in red. @@ -68,4 +68,4 @@ cd utils/plot_ui make cd ../../ sudo make install -``` \ No newline at end of file +``` diff --git a/docs/known_limitations.md b/docs/known_limitations.md index deb539e2..2d8f84a5 100644 --- a/docs/known_limitations.md +++ b/docs/known_limitations.md @@ -15,7 +15,7 @@ Here are some of the most important caveats for AFL: To work around this, you can comment out the relevant checks (see utils/libpng_no_checksum/ for inspiration); if this is not possible, you can also write a postprocessor, one of the hooks of custom mutators. - See [docs/custom_mutators.md](docs/custom_mutators.md) on how to use + See [custom_mutators.md](custom_mutators.md) on how to use `AFL_CUSTOM_MUTATOR_LIBRARY` - There are some unfortunate trade-offs with ASAN and 64-bit binaries. This @@ -33,4 +33,4 @@ Here are some of the most important caveats for AFL: - Occasionally, sentient machines rise against their creators. If this happens to you, please consult [http://lcamtuf.coredump.cx/prep/](http://lcamtuf.coredump.cx/prep/). -Beyond this, see [INSTALL.md](INSTALL.md) for platform-specific tips. \ No newline at end of file +Beyond this, see [INSTALL.md](INSTALL.md) for platform-specific tips. diff --git a/docs/parallel_fuzzing.md b/docs/parallel_fuzzing.md index 90e12e89..e37276a5 100644 --- a/docs/parallel_fuzzing.md +++ b/docs/parallel_fuzzing.md @@ -4,7 +4,7 @@ This document talks about synchronizing afl-fuzz jobs on a single machine or across a fleet of systems. See README.md for the general instruction manual. Note that this document is rather outdated. please refer to the main document -section on multiple core usage [../README.md#Using multiple cores](../README.md#b-using-multiple-coresthreads) +section on multiple core usage [fuzzing_expert.md#Using multiple cores](fuzzing_expert.md#b-using-multiple-cores) for up to date strategies! ## 1) Introduction diff --git a/docs/rpc_statsd.md b/docs/rpc_statsd.md index 288d56cb..9b3d8d40 100644 --- a/docs/rpc_statsd.md +++ b/docs/rpc_statsd.md @@ -50,7 +50,7 @@ Depending on your StatsD server, you will be able to monitor, trigger alerts, or - `librato` - `signalfx` - For more information on environment variables, see [docs/env_variables.md](docs/env_variables.md). + For more information on environment variables, see [env_variables.md](env_variables.md). Note: When using multiple fuzzer instances with StatsD it is *strongly* recommended to set up `AFL_STATSD_TAGS_FLAVOR` to match your StatsD server. This will allow you to see individual fuzzer performance, detect bad ones, and see the progress of each strategy. @@ -152,4 +152,4 @@ To run your fuzzing instances: AFL_STATSD_TAGS_FLAVOR=dogstatsd AFL_STATSD=1 afl-fuzz -M test-fuzzer-1 -i i -o o [./bin/my-application] @@ AFL_STATSD_TAGS_FLAVOR=dogstatsd AFL_STATSD=1 afl-fuzz -S test-fuzzer-2 -i i -o o [./bin/my-application] @@ ... -``` \ No newline at end of file +``` diff --git a/docs/triaging_crashes.md b/docs/triaging_crashes.md index 1857c4b1..b0015c90 100644 --- a/docs/triaging_crashes.md +++ b/docs/triaging_crashes.md @@ -43,4 +43,4 @@ file, attempts to sequentially flip bytes, and observes the behavior of the tested program. It then color-codes the input based on which sections appear to be critical, and which are not; while not bulletproof, it can often offer quick insights into complex file formats. More info about its operation can be found -near the end of [docs/technical_details.md](docs/technical_details.md). \ No newline at end of file +near the end of [technical_details.md](technical_details.md). diff --git a/instrumentation/README.laf-intel.md b/instrumentation/README.laf-intel.md index 229807e8..789055ed 100644 --- a/instrumentation/README.laf-intel.md +++ b/instrumentation/README.laf-intel.md @@ -3,9 +3,8 @@ ## Introduction This originally is the work of an individual nicknamed laf-intel. -His blog [Circumventing Fuzzing Roadblocks with Compiler Transformations] -(https://lafintel.wordpress.com/) and gitlab repo [laf-llvm-pass] -(https://gitlab.com/laf-intel/laf-llvm-pass/) +His blog [Circumventing Fuzzing Roadblocks with Compiler Transformations](https://lafintel.wordpress.com/) +and gitlab repo [laf-llvm-pass](https://gitlab.com/laf-intel/laf-llvm-pass/) describe some code transformations that help AFL++ to enter conditional blocks, where conditions consist of comparisons of large values. diff --git a/instrumentation/README.llvm.md b/instrumentation/README.llvm.md index 6e210a7c..5b1e60cc 100644 --- a/instrumentation/README.llvm.md +++ b/instrumentation/README.llvm.md @@ -2,7 +2,7 @@ (See [../README.md](../README.md) for the general instruction manual.) - (See [README.gcc_plugin.md](../README.gcc_plugin.md) for the GCC-based instrumentation.) + (See [README.gcc_plugin.md](README.gcc_plugin.md) for the GCC-based instrumentation.) ## 1) Introduction -- cgit 1.4.1 From 228f6c5dad1a593b4113006e587e9885459a53c2 Mon Sep 17 00:00:00 2001 From: llzmb <46303940+llzmb@users.noreply.github.com> Date: Sun, 10 Oct 2021 16:00:21 +0200 Subject: Update fuzzing_binary-only_targets.md --- docs/fuzzing_binary-only_targets.md | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) (limited to 'docs') diff --git a/docs/fuzzing_binary-only_targets.md b/docs/fuzzing_binary-only_targets.md index a39e40a0..d568b976 100644 --- a/docs/fuzzing_binary-only_targets.md +++ b/docs/fuzzing_binary-only_targets.md @@ -71,7 +71,7 @@ cd unicorn_mode If the goal is to fuzz a dynamic library then there are two options available. For both you need to write a small harness that loads and calls the library. -Faster is the frida solution: [utils/afl_frida/README.md](../utils/afl_frida/README.md) +Faster is the frida solution: [frida_mode/README.md](../frida_mode/README.md) Another, less precise and slower option is using ptrace with debugger interrupt instrumentation: [utils/afl_untracer/README.md](../utils/afl_untracer/README.md). -- cgit 1.4.1 From 659366ac6007eb679bc96c8e619afbb2f1d3ad50 Mon Sep 17 00:00:00 2001 From: llzmb <46303940+llzmb@users.noreply.github.com> Date: Sun, 10 Oct 2021 16:09:39 +0200 Subject: Delete life_pro_tips.md --- docs/life_pro_tips.md | 87 --------------------------------------------------- 1 file changed, 87 deletions(-) delete mode 100644 docs/life_pro_tips.md (limited to 'docs') diff --git a/docs/life_pro_tips.md b/docs/life_pro_tips.md deleted file mode 100644 index 13ffcea0..00000000 --- a/docs/life_pro_tips.md +++ /dev/null @@ -1,87 +0,0 @@ -# AFL "Life Pro Tips" - -Bite-sized advice for those who understand the basics, but can't be bothered -to read or memorize every other piece of documentation for AFL. - -## Get more bang for your buck by using fuzzing dictionaries. - -See [dictionaries/README.md](../dictionaries/README.md) to learn how. - -## You can get the most out of your hardware by parallelizing AFL jobs. - -See [parallel_fuzzing.md](parallel_fuzzing.md) for step-by-step tips. - -## Improve the odds of spotting memory corruption bugs with libdislocator.so! - -It's easy. Consult [utils/libdislocator/README.md](../utils/libdislocator/README.md) for usage tips. - -## Want to understand how your target parses a particular input file? - -Try the bundled `afl-analyze` tool; it's got colors and all! - -## You can visually monitor the progress of your fuzzing jobs. - -Run the bundled `afl-plot` utility to generate browser-friendly graphs. - -## Need to monitor AFL jobs programmatically? -Check out the `fuzzer_stats` file in the AFL output dir or try `afl-whatsup`. - -## Puzzled by something showing up in red or purple in the AFL UI? -It could be important - consult docs/status_screen.md right away! - -## Know your target? Convert it to persistent mode for a huge performance gain! -Consult section #5 in README.llvm.md for tips. - -## Using clang? -Check out instrumentation/ for a faster alternative to afl-gcc! - -## Did you know that AFL can fuzz closed-source or cross-platform binaries? -Check out qemu_mode/README.md and unicorn_mode/README.md for more. - -## Did you know that afl-fuzz can minimize any test case for you? -Try the bundled `afl-tmin` tool - and get small repro files fast! - -## Not sure if a crash is exploitable? AFL can help you figure it out. Specify -`-C` to enable the peruvian were-rabbit mode. - -## Trouble dealing with a machine uprising? Relax, we've all been there. - -Find essential survival tips at http://lcamtuf.coredump.cx/prep/. - -## Want to automatically spot non-crashing memory handling bugs? - -Try running an AFL-generated corpus through ASAN, MSAN, or Valgrind. - -## Good selection of input files is critical to a successful fuzzing job. - -See docs/perf_tips.md for pro tips. - -## You can improve the odds of automatically spotting stack corruption issues. - -Specify `AFL_HARDEN=1` in the environment to enable hardening flags. - -## Bumping into problems with non-reproducible crashes? -It happens, but usually -isn't hard to diagnose. See section #7 in README.md for tips. - -## Fuzzing is not just about memory corruption issues in the codebase. -Add some -sanity-checking `assert()` / `abort()` statements to effortlessly catch logic bugs. - -## Hey kid... pssst... want to figure out how AFL really works? - -Check out docs/technical_details.md for all the gory details in one place! - -## There's a ton of third-party helper tools designed to work with AFL! - -Be sure to check out docs/sister_projects.md before writing your own. - -## Need to fuzz the command-line arguments of a particular program? - -You can find a simple solution in utils/argv_fuzzing. - -## Attacking a format that uses checksums? - -Remove the checksum-checking code or use a postprocessor! -See `afl_custom_post_process` in custom_mutators/examples/example.c for more. - -- cgit 1.4.1 From 00aa689f40a3c8276af257cf0b54dc655cb0423e Mon Sep 17 00:00:00 2001 From: vanhauser-thc Date: Mon, 11 Oct 2021 14:28:17 +0200 Subject: fix accidental bystander kills --- docs/Changelog.md | 2 ++ qemu_mode/qemuafl | 2 +- src/afl-forkserver.c | 6 +++--- unicorn_mode/unicornafl | 2 +- 4 files changed, 7 insertions(+), 5 deletions(-) (limited to 'docs') diff --git a/docs/Changelog.md b/docs/Changelog.md index dad5fee2..1c3830f9 100644 --- a/docs/Changelog.md +++ b/docs/Changelog.md @@ -18,6 +18,8 @@ sending a mail to . - fix -n dumb mode (nobody should use this) - afl-showmap, afl-tmin and afl-analyze now honor persistent mode for more speed. thanks to dloffre-snl for reporting! + - Prevent accidently killing non-afl/fuzz services when aborting + afl-showmap and other tools. - afl-cc: - fix for shared linking on MacOS - llvm and LTO mode verified to work with new llvm 14-dev diff --git a/qemu_mode/qemuafl b/qemu_mode/qemuafl index 71ed0d20..a6758d1c 160000 --- a/qemu_mode/qemuafl +++ b/qemu_mode/qemuafl @@ -1 +1 @@ -Subproject commit 71ed0d206fd3d877420dceb4993a1011a4637ae6 +Subproject commit a6758d1cc3e4dde88fca3f0b3a903581b7c8b2e5 diff --git a/src/afl-forkserver.c b/src/afl-forkserver.c index c8c94c08..54f510c4 100644 --- a/src/afl-forkserver.c +++ b/src/afl-forkserver.c @@ -610,12 +610,12 @@ void afl_fsrv_start(afl_forkserver_t *fsrv, char **argv, if (!time_ms) { - kill(fsrv->fsrv_pid, fsrv->kill_signal); + if (fsrv->fsrv_pid > 0) { kill(fsrv->fsrv_pid, fsrv->kill_signal); } } else if (time_ms > fsrv->init_tmout) { fsrv->last_run_timed_out = 1; - kill(fsrv->fsrv_pid, fsrv->kill_signal); + if (fsrv->fsrv_pid > 0) { kill(fsrv->fsrv_pid, fsrv->kill_signal); } } else { @@ -1248,7 +1248,7 @@ fsrv_run_result_t afl_fsrv_run_target(afl_forkserver_t *fsrv, u32 timeout, /* If there was no response from forkserver after timeout seconds, we kill the child. The forkserver should inform us afterwards */ - kill(fsrv->child_pid, fsrv->kill_signal); + if (fsrv->child_pid > 0) { kill(fsrv->child_pid, fsrv->kill_signal); } fsrv->last_run_timed_out = 1; if (read(fsrv->fsrv_st_fd, &fsrv->child_status, 4) < 4) { exec_ms = 0; } diff --git a/unicorn_mode/unicornafl b/unicorn_mode/unicornafl index f1c85364..c0e03d2c 160000 --- a/unicorn_mode/unicornafl +++ b/unicorn_mode/unicornafl @@ -1 +1 @@ -Subproject commit f1c853648a74b0157d233a2ef9f1693cfee78c11 +Subproject commit c0e03d2c6b55a22025324f121746b41b1e756fb8 -- cgit 1.4.1 From e0c052cad70b5cf2c86e1bda1d279a2ac1440077 Mon Sep 17 00:00:00 2001 From: Dominik Maier Date: Tue, 12 Oct 2021 23:46:47 +0200 Subject: unicornafl bindings improved --- docs/Changelog.md | 1 + unicorn_mode/UNICORNAFL_VERSION | 2 +- unicorn_mode/samples/speedtest/rust/src/main.rs | 23 ++++++++++------------- unicorn_mode/unicornafl | 2 +- 4 files changed, 13 insertions(+), 15 deletions(-) (limited to 'docs') diff --git a/docs/Changelog.md b/docs/Changelog.md index 1c3830f9..ea58a386 100644 --- a/docs/Changelog.md +++ b/docs/Changelog.md @@ -34,6 +34,7 @@ sending a mail to . - fix AFL_PRELOAD issues on MacOS - removed utils/afl_frida because frida_mode/ is now so much better - added uninstall target to makefile (todo: update new readme!) + - removed indirections in rust callbacks for unicornafl ### Version ++3.14c (release) diff --git a/unicorn_mode/UNICORNAFL_VERSION b/unicorn_mode/UNICORNAFL_VERSION index cbca63e5..e76da957 100644 --- a/unicorn_mode/UNICORNAFL_VERSION +++ b/unicorn_mode/UNICORNAFL_VERSION @@ -1 +1 @@ -f1c853648a74b0157d233a2ef9f1693cfee78c11 +d06e3d5113dd96799a765a6514f7f5c45f071ca3 diff --git a/unicorn_mode/samples/speedtest/rust/src/main.rs b/unicorn_mode/samples/speedtest/rust/src/main.rs index 77356a67..89e10833 100644 --- a/unicorn_mode/samples/speedtest/rust/src/main.rs +++ b/unicorn_mode/samples/speedtest/rust/src/main.rs @@ -12,11 +12,11 @@ use std::{ use unicornafl::{ unicorn_const::{uc_error, Arch, Mode, Permission}, - RegisterX86::{self, *}, - Unicorn, UnicornHandle, + RegisterX86::*, + Unicorn, }; -const BINARY: &str = &"../target"; +const BINARY: &str = "../target"; // Memory map for the code to be tested // Arbitrary address where code to test will be loaded @@ -47,7 +47,7 @@ fn read_file(filename: &str) -> Result, io::Error> { fn parse_locs(loc_name: &str) -> Result, io::Error> { let contents = &read_file(&format!("../target.offsets.{}", loc_name))?; //println!("Read: {:?}", contents); - Ok(str_from_u8_unchecked(&contents) + Ok(str_from_u8_unchecked(contents) .split('\n') .map(|x| { //println!("Trying to convert {}", &x[2..]); @@ -87,8 +87,7 @@ fn main() { } fn fuzz(input_file: &str) -> Result<(), uc_error> { - let mut unicorn = Unicorn::new(Arch::X86, Mode::MODE_64, 0)?; - let mut uc: UnicornHandle<'_, _> = unicorn.borrow(); + let mut uc = Unicorn::new(Arch::X86, Mode::MODE_64, 0)?; let binary = read_file(BINARY).unwrap_or_else(|_| panic!("Could not read modem image: {}", BINARY)); @@ -133,7 +132,7 @@ fn fuzz(input_file: &str) -> Result<(), uc_error> { let already_allocated_malloc = already_allocated.clone(); // We use a very simple malloc/free stub here, // that only works for exactly one allocation at a time. - let hook_malloc = move |mut uc: UnicornHandle<'_, _>, addr: u64, size: u32| { + let hook_malloc = move |uc: &mut Unicorn<'_, _>, addr: u64, size: u32| { if already_allocated_malloc.get() { println!("Double malloc, not supported right now!"); abort(); @@ -154,7 +153,7 @@ fn fuzz(input_file: &str) -> Result<(), uc_error> { let already_allocated_free = already_allocated; // No real free, just set the "used"-flag to false. - let hook_free = move |mut uc: UnicornHandle<'_, _>, addr, size| { + let hook_free = move |uc: &mut Unicorn<'_, _>, addr, size| { if already_allocated_free.get() { println!("Double free detected. Real bug?"); abort(); @@ -177,7 +176,7 @@ fn fuzz(input_file: &str) -> Result<(), uc_error> { */ // This is a fancy print function that we're just going to skip for fuzzing. - let hook_magicfn = move |mut uc: UnicornHandle<'_, _>, addr, size| { + let hook_magicfn = move |uc: &mut Unicorn<'_, _>, addr, size| { uc.reg_write(RIP, addr + size as u64).unwrap(); }; @@ -195,7 +194,7 @@ fn fuzz(input_file: &str) -> Result<(), uc_error> { } let place_input_callback = - |uc: &mut UnicornHandle<'_, _>, afl_input: &mut [u8], _persistent_round| { + |uc: &mut Unicorn<'_, _>, afl_input: &mut [u8], _persistent_round| { // apply constraints to the mutated input if afl_input.len() > INPUT_MAX as usize { //println!("Skipping testcase with leng {}", afl_input.len()); @@ -209,9 +208,7 @@ fn fuzz(input_file: &str) -> Result<(), uc_error> { // return true if the last run should be counted as crash let crash_validation_callback = - |_uc: &mut UnicornHandle<'_, _>, result, _input: &[u8], _persistent_round| { - result != uc_error::OK - }; + |_uc: &mut Unicorn<'_, _>, result, _input: &[u8], _persistent_round| result != uc_error::OK; let end_addrs = parse_locs("main_ends").unwrap(); diff --git a/unicorn_mode/unicornafl b/unicorn_mode/unicornafl index c0e03d2c..d06e3d51 160000 --- a/unicorn_mode/unicornafl +++ b/unicorn_mode/unicornafl @@ -1 +1 @@ -Subproject commit c0e03d2c6b55a22025324f121746b41b1e756fb8 +Subproject commit d06e3d5113dd96799a765a6514f7f5c45f071ca3 -- cgit 1.4.1 From 3deca3b09b46130c9e23320c0b98f60543f9b5ba Mon Sep 17 00:00:00 2001 From: vanhauser-thc Date: Fri, 15 Oct 2021 11:25:02 +0200 Subject: fix lto cmplog stability issue --- custom_mutators/grammar_mutator/grammar_mutator | 2 +- docs/Changelog.md | 1 + qemu_mode/qemuafl | 2 +- src/afl-fuzz-run.c | 30 +++++++++++++++++++++++-- unicorn_mode/unicornafl | 2 +- 5 files changed, 32 insertions(+), 5 deletions(-) (limited to 'docs') diff --git a/custom_mutators/grammar_mutator/grammar_mutator b/custom_mutators/grammar_mutator/grammar_mutator index eedf07dd..b79d51a8 160000 --- a/custom_mutators/grammar_mutator/grammar_mutator +++ b/custom_mutators/grammar_mutator/grammar_mutator @@ -1 +1 @@ -Subproject commit eedf07ddb0fb1f437f5e76b77cfd4064cf6a5d63 +Subproject commit b79d51a8daccbd7a693f9b6765c81ead14f28e26 diff --git a/docs/Changelog.md b/docs/Changelog.md index ea58a386..df4d343a 100644 --- a/docs/Changelog.md +++ b/docs/Changelog.md @@ -16,6 +16,7 @@ sending a mail to . - fix a regression introduced in 3.10 that resulted in less coverage being detected. thanks to Collin May for reporting! - fix -n dumb mode (nobody should use this) + - fix stability issue with LTO and cmplog - afl-showmap, afl-tmin and afl-analyze now honor persistent mode for more speed. thanks to dloffre-snl for reporting! - Prevent accidently killing non-afl/fuzz services when aborting diff --git a/qemu_mode/qemuafl b/qemu_mode/qemuafl index a6758d1c..71ed0d20 160000 --- a/qemu_mode/qemuafl +++ b/qemu_mode/qemuafl @@ -1 +1 @@ -Subproject commit a6758d1cc3e4dde88fca3f0b3a903581b7c8b2e5 +Subproject commit 71ed0d206fd3d877420dceb4993a1011a4637ae6 diff --git a/src/afl-fuzz-run.c b/src/afl-fuzz-run.c index 4173f4e1..da6ba7d9 100644 --- a/src/afl-fuzz-run.c +++ b/src/afl-fuzz-run.c @@ -291,8 +291,6 @@ static void write_with_gap(afl_state_t *afl, u8 *mem, u32 len, u32 skip_at, u8 calibrate_case(afl_state_t *afl, struct queue_entry *q, u8 *use_mem, u32 handicap, u8 from_queue) { - if (unlikely(afl->shm.cmplog_mode)) { q->exec_cksum = 0; } - u8 fault = 0, new_bits = 0, var_detected = 0, hnb = 0, first_run = (q->exec_cksum == 0); u64 start_us, stop_us, diff_us; @@ -300,6 +298,8 @@ u8 calibrate_case(afl_state_t *afl, struct queue_entry *q, u8 *use_mem, u32 use_tmout = afl->fsrv.exec_tmout; u8 *old_sn = afl->stage_name; + if (unlikely(afl->shm.cmplog_mode)) { q->exec_cksum = 0; } + /* Be a bit more generous about timeouts when resuming sessions, or when trying to calibrate already-added finds. This helps avoid trouble due to intermittent latency. */ @@ -343,6 +343,32 @@ u8 calibrate_case(afl_state_t *afl, struct queue_entry *q, u8 *use_mem, } + /* we need a dummy run if this is LTO + cmplog */ + if (unlikely(afl->shm.cmplog_mode)) { + + write_to_testcase(afl, use_mem, q->len); + + fault = fuzz_run_target(afl, &afl->fsrv, use_tmout); + + /* afl->stop_soon is set by the handler for Ctrl+C. When it's pressed, + we want to bail out quickly. */ + + if (afl->stop_soon || fault != afl->crash_mode) { goto abort_calibration; } + + if (!afl->non_instrumented_mode && !afl->stage_cur && + !count_bytes(afl, afl->fsrv.trace_bits)) { + + fault = FSRV_RUN_NOINST; + goto abort_calibration; + + } + +#ifdef INTROSPECTION + if (unlikely(!q->bitsmap_size)) q->bitsmap_size = afl->bitsmap_size; +#endif + + } + if (q->exec_cksum) { memcpy(afl->first_trace, afl->fsrv.trace_bits, afl->fsrv.map_size); diff --git a/unicorn_mode/unicornafl b/unicorn_mode/unicornafl index d4915053..f1c85364 160000 --- a/unicorn_mode/unicornafl +++ b/unicorn_mode/unicornafl @@ -1 +1 @@ -Subproject commit d4915053d477dd827b3fe4b494173d3fbf9f456e +Subproject commit f1c853648a74b0157d233a2ef9f1693cfee78c11 -- cgit 1.4.1 From 34f1074ba308e850feb08c51aad781f7d307a260 Mon Sep 17 00:00:00 2001 From: vanhauser-thc Date: Sat, 16 Oct 2021 18:44:29 +0200 Subject: changelog --- docs/Changelog.md | 1 + 1 file changed, 1 insertion(+) (limited to 'docs') diff --git a/docs/Changelog.md b/docs/Changelog.md index df4d343a..d8dac557 100644 --- a/docs/Changelog.md +++ b/docs/Changelog.md @@ -17,6 +17,7 @@ sending a mail to . coverage being detected. thanks to Collin May for reporting! - fix -n dumb mode (nobody should use this) - fix stability issue with LTO and cmplog + - frida_mode: David Carlier added Android support :) - afl-showmap, afl-tmin and afl-analyze now honor persistent mode for more speed. thanks to dloffre-snl for reporting! - Prevent accidently killing non-afl/fuzz services when aborting -- cgit 1.4.1 From 7cd98f565ffdf3e0c0ccd34c04ed2f3126ab4189 Mon Sep 17 00:00:00 2001 From: vanhauser-thc Date: Mon, 18 Oct 2021 12:16:58 +0200 Subject: lto and llvm14-dev --- docs/Changelog.md | 2 +- instrumentation/SanitizerCoveragePCGUARD.so.cc | 2 -- instrumentation/afl-llvm-lto-instrumentation.so.cc | 4 ++++ instrumentation/afl-llvm-lto-instrumentlist.so.cc | 5 +++++ 4 files changed, 10 insertions(+), 3 deletions(-) (limited to 'docs') diff --git a/docs/Changelog.md b/docs/Changelog.md index d8dac557..6db013cf 100644 --- a/docs/Changelog.md +++ b/docs/Changelog.md @@ -24,7 +24,7 @@ sending a mail to . afl-showmap and other tools. - afl-cc: - fix for shared linking on MacOS - - llvm and LTO mode verified to work with new llvm 14-dev + - llvm and LTO mode modified to work with new llvm 14-dev (again) - added the very good grammar mutator "GramaTron" to the custom_mutators - added optimin, a faster and better corpus minimizer by diff --git a/instrumentation/SanitizerCoveragePCGUARD.so.cc b/instrumentation/SanitizerCoveragePCGUARD.so.cc index 48ad2d02..013492f9 100644 --- a/instrumentation/SanitizerCoveragePCGUARD.so.cc +++ b/instrumentation/SanitizerCoveragePCGUARD.so.cc @@ -881,8 +881,6 @@ void ModuleSanitizerCoverage::InjectCoverageForIndirectCalls( Function &F, ArrayRef IndirCalls) { if (IndirCalls.empty()) return; - assert(Options.TracePC || Options.TracePCGuard || - Options.Inline8bitCounters /*|| Options.InlineBoolFlag*/); for (auto I : IndirCalls) { IRBuilder<> IRB(I); diff --git a/instrumentation/afl-llvm-lto-instrumentation.so.cc b/instrumentation/afl-llvm-lto-instrumentation.so.cc index 73e41f60..4eb8424f 100644 --- a/instrumentation/afl-llvm-lto-instrumentation.so.cc +++ b/instrumentation/afl-llvm-lto-instrumentation.so.cc @@ -244,7 +244,11 @@ bool AFLLTOPass::runOnModule(Module &M) { // the instrument file list check AttributeList Attrs = F.getAttributes(); +#if LLVM_VERSION_MAJOR < 14 if (Attrs.hasAttribute(-1, StringRef("skipinstrument"))) { +#else + if (Attrs.hasFnAttr(StringRef("skipinstrument"))) { +#endif if (debug) fprintf(stderr, diff --git a/instrumentation/afl-llvm-lto-instrumentlist.so.cc b/instrumentation/afl-llvm-lto-instrumentlist.so.cc index 416dbb88..0ec0e427 100644 --- a/instrumentation/afl-llvm-lto-instrumentlist.so.cc +++ b/instrumentation/afl-llvm-lto-instrumentlist.so.cc @@ -116,10 +116,15 @@ bool AFLcheckIfInstrument::runOnModule(Module &M) { auto & Ctx = F.getContext(); AttributeList Attrs = F.getAttributes(); +#if LLVM_VERSION_MAJOR < 14 AttrBuilder NewAttrs; NewAttrs.addAttribute("skipinstrument"); F.setAttributes( Attrs.addAttributes(Ctx, AttributeList::FunctionIndex, NewAttrs)); +#else + AttributeList NewAttrs = Attrs.addFnAttribute(Ctx, "skipinstrument"); + F.setAttributes(NewAttrs); +#endif } -- cgit 1.4.1 From 45d668a671316821c3f9793381cb54956b535491 Mon Sep 17 00:00:00 2001 From: vanhauser-thc Date: Mon, 18 Oct 2021 13:17:07 +0200 Subject: better ui banner --- docs/Changelog.md | 1 + include/afl-fuzz.h | 1 - src/afl-fuzz-init.c | 37 ------------------------------------- src/afl-fuzz-stats.c | 49 +++++++++++++++++++++++++++++-------------------- src/afl-fuzz.c | 17 +++++++++++++---- 5 files changed, 43 insertions(+), 62 deletions(-) (limited to 'docs') diff --git a/docs/Changelog.md b/docs/Changelog.md index 6db013cf..63896622 100644 --- a/docs/Changelog.md +++ b/docs/Changelog.md @@ -17,6 +17,7 @@ sending a mail to . coverage being detected. thanks to Collin May for reporting! - fix -n dumb mode (nobody should use this) - fix stability issue with LTO and cmplog + - better banner - frida_mode: David Carlier added Android support :) - afl-showmap, afl-tmin and afl-analyze now honor persistent mode for more speed. thanks to dloffre-snl for reporting! diff --git a/include/afl-fuzz.h b/include/afl-fuzz.h index 4b19e698..eaf55fb8 100644 --- a/include/afl-fuzz.h +++ b/include/afl-fuzz.h @@ -1130,7 +1130,6 @@ void get_core_count(afl_state_t *); void fix_up_sync(afl_state_t *); void check_asan_opts(afl_state_t *); void check_binary(afl_state_t *, u8 *); -void fix_up_banner(afl_state_t *, u8 *); void check_if_tty(afl_state_t *); void setup_signal_handlers(void); void save_cmdline(afl_state_t *, u32, char **); diff --git a/src/afl-fuzz-init.c b/src/afl-fuzz-init.c index 9bb25785..9c45f08a 100644 --- a/src/afl-fuzz-init.c +++ b/src/afl-fuzz-init.c @@ -2815,43 +2815,6 @@ void check_binary(afl_state_t *afl, u8 *fname) { } -/* Trim and possibly create a banner for the run. */ - -void fix_up_banner(afl_state_t *afl, u8 *name) { - - if (!afl->use_banner) { - - if (afl->sync_id) { - - afl->use_banner = afl->sync_id; - - } else { - - u8 *trim = strrchr(name, '/'); - if (!trim) { - - afl->use_banner = name; - - } else { - - afl->use_banner = trim + 1; - - } - - } - - } - - if (strlen(afl->use_banner) > 32) { - - u8 *tmp = ck_alloc(36); - sprintf(tmp, "%.32s...", afl->use_banner); - afl->use_banner = tmp; - - } - -} - /* Check if we're on TTY. */ void check_if_tty(afl_state_t *afl) { diff --git a/src/afl-fuzz-stats.c b/src/afl-fuzz-stats.c index 870ba69a..0c06232b 100644 --- a/src/afl-fuzz-stats.c +++ b/src/afl-fuzz-stats.c @@ -441,9 +441,10 @@ void show_stats(afl_state_t *afl) { u64 cur_ms; u32 t_bytes, t_bits; - u32 banner_len, banner_pad; - u8 tmp[256]; - u8 time_tmp[64]; + static u8 banner[128]; + u32 banner_len, banner_pad; + u8 tmp[256]; + u8 time_tmp[64]; u8 val_buf[8][STRINGIFY_VAL_SIZE_MAX]; #define IB(i) (val_buf[(i)]) @@ -656,26 +657,34 @@ void show_stats(afl_state_t *afl) { } /* Let's start by drawing a centered banner. */ + if (unlikely(!banner[0])) { - banner_len = (afl->crash_mode ? 24 : 22) + strlen(VERSION) + - strlen(afl->use_banner) + strlen(afl->power_name) + 3 + 5; - banner_pad = (79 - banner_len) / 2; - memset(tmp, ' ', banner_pad); + char *si = ""; + if (afl->sync_id) { si = afl->sync_id; } + memset(banner, 0, sizeof(banner)); + banner_len = (afl->crash_mode ? 20 : 18) + strlen(VERSION) + strlen(si) + + strlen(afl->power_name) + 4 + 6; -#ifdef HAVE_AFFINITY - sprintf( - tmp + banner_pad, - "%s " cLCY VERSION cLGN " (%s) " cPIN "[%s]" cBLU " {%d}", - afl->crash_mode ? cPIN "peruvian were-rabbit" : cYEL "american fuzzy lop", - afl->use_banner, afl->power_name, afl->cpu_aff); -#else - sprintf( - tmp + banner_pad, "%s " cLCY VERSION cLGN " (%s) " cPIN "[%s]", - afl->crash_mode ? cPIN "peruvian were-rabbit" : cYEL "american fuzzy lop", - afl->use_banner, afl->power_name); -#endif /* HAVE_AFFINITY */ + if (strlen(afl->use_banner) + banner_len > 75) { + + afl->use_banner += (strlen(afl->use_banner) + banner_len) - 76; + memset(afl->use_banner, '.', 3); + + } + + banner_len += strlen(afl->use_banner); + banner_pad = (79 - banner_len) / 2; + memset(banner, ' ', banner_pad); + + sprintf(banner + banner_pad, + "%s " cLCY VERSION cLBL " {%s} " cLGN "(%s) " cPIN "[%s]", + afl->crash_mode ? cPIN "peruvian were-rabbit" + : cYEL "american fuzzy lop", + si, afl->use_banner, afl->power_name); + + } - SAYF("\n%s\n", tmp); + SAYF("\n%s\n", banner); /* "Handy" shortcuts for drawing boxes... */ diff --git a/src/afl-fuzz.c b/src/afl-fuzz.c index 92a37697..26886a4f 100644 --- a/src/afl-fuzz.c +++ b/src/afl-fuzz.c @@ -1189,7 +1189,17 @@ int main(int argc, char **argv_orig, char **envp) { } - if (afl->sync_id) { fix_up_sync(afl); } + if (afl->sync_id) { + + if (strlen(afl->sync_id) > 24) { + + FATAL("sync_id max length is 24 characters"); + + } + + fix_up_sync(afl); + + } if (!strcmp(afl->in_dir, afl->out_dir)) { @@ -1218,6 +1228,8 @@ int main(int argc, char **argv_orig, char **envp) { if (unlikely(afl->afl_env.afl_statsd)) { statsd_setup_format(afl); } + if (!afl->use_banner) { afl->use_banner = argv[optind]; } + if (strchr(argv[optind], '/') == NULL && !afl->unicorn_mode) { WARNF(cLRD @@ -1486,9 +1498,6 @@ int main(int argc, char **argv_orig, char **envp) { } save_cmdline(afl, argc, argv); - - fix_up_banner(afl, argv[optind]); - check_if_tty(afl); if (afl->afl_env.afl_force_ui) { afl->not_on_tty = 0; } -- cgit 1.4.1 From 47a333af4d7c64209570e7459b1bd5259c207dc9 Mon Sep 17 00:00:00 2001 From: vanhauser-thc Date: Tue, 19 Oct 2021 15:42:26 +0200 Subject: add ninja to apt install readme --- docs/INSTALL.md | 1 + 1 file changed, 1 insertion(+) (limited to 'docs') diff --git a/docs/INSTALL.md b/docs/INSTALL.md index b60a7048..960de1af 100644 --- a/docs/INSTALL.md +++ b/docs/INSTALL.md @@ -22,6 +22,7 @@ sudo apt-get install -y build-essential python3-dev automake git flex bison libg # try to install llvm 11 and install the distro default if that fails sudo apt-get install -y lld-11 llvm-11 llvm-11-dev clang-11 || sudo apt-get install -y lld llvm llvm-dev clang sudo apt-get install -y gcc-$(gcc --version|head -n1|sed 's/.* //'|sed 's/\..*//')-plugin-dev libstdc++-$(gcc --version|head -n1|sed 's/.* //'|sed 's/\..*//')-dev +sudo apt-get install -y ninja-build # for qemu_mode git clone https://github.com/AFLplusplus/AFLplusplus cd AFLplusplus make distrib -- cgit 1.4.1 From 4e3fec2666c3d317db275f4af8875b56009621e1 Mon Sep 17 00:00:00 2001 From: Stefan Nagy Date: Wed, 20 Oct 2021 17:09:18 -0400 Subject: Update binaryonly_fuzzing.md with zafl --- docs/binaryonly_fuzzing.md | 23 +++++++++++++++++------ 1 file changed, 17 insertions(+), 6 deletions(-) (limited to 'docs') diff --git a/docs/binaryonly_fuzzing.md b/docs/binaryonly_fuzzing.md index 90ea3b66..903afb70 100644 --- a/docs/binaryonly_fuzzing.md +++ b/docs/binaryonly_fuzzing.md @@ -95,13 +95,28 @@ utils/afl_untracer/, use afl-untracer.c as a template. It is slower than AFL FRIDA (see above). +## ZAFL + ZAFL is a static rewriting platform for fast, space-efficient, and inlined + binary fuzzing instrumentation. It currently supports x86-64 C and C++, + stripped and unstripped, and PIE and non-PIE binaries of all sizes and complexity. + + Beyond conventional instrumentation, ZAFL's API enables transformation passes + for more effective/efficient fuzzing. Some built-in transformations include + laf-Intel-style constraint unrolling, Angora-style context sensitivity, and + InsTrim-style CFG optimizations. + + ZAFL's baseline instrumentation speed averages about 90-95% that of afl-clang-fast's + conventional LLVM instrumentation (but is even faster when enabling CFG optimizations). + + [https://git.zephyr-software.com/opensrc/zafl](https://git.zephyr-software.com/opensrc/zafl) + ## DYNINST Dyninst is a binary instrumentation framework similar to Pintool and Dynamorio (see far below). However whereas Pintool and Dynamorio work at runtime, dyninst instruments the target at load time, and then let it run - - or save the binary with the changes. + or save the binary with the changes. This is great for some things, e.g. fuzzing, and not so effective for others, e.g. malware analysis. @@ -116,13 +131,10 @@ The speed decrease is about 15-35%, depending on the optimization options used with afl-dyninst. - So if Dyninst works, it is the best option available. Otherwise it just - doesn't work well. - [https://github.com/vanhauser-thc/afl-dyninst](https://github.com/vanhauser-thc/afl-dyninst) -## RETROWRITE, ZAFL, ... other binary rewriter +## RETROWRITE If you have an x86/x86_64 binary that still has its symbols, is compiled with position independant code (PIC/PIE) and does not use most of the C++ @@ -131,7 +143,6 @@ It is at about 80-85% performance. - [https://git.zephyr-software.com/opensrc/zafl](https://git.zephyr-software.com/opensrc/zafl) [https://github.com/HexHive/retrowrite](https://github.com/HexHive/retrowrite) -- cgit 1.4.1 From e637ca216e4559960feec6b7f887571efde4f0ba Mon Sep 17 00:00:00 2001 From: Stefan Nagy Date: Thu, 21 Oct 2021 04:52:38 -0400 Subject: Tidy-up zafl info --- docs/binaryonly_fuzzing.md | 17 ++++++----------- 1 file changed, 6 insertions(+), 11 deletions(-) (limited to 'docs') diff --git a/docs/binaryonly_fuzzing.md b/docs/binaryonly_fuzzing.md index 903afb70..de360543 100644 --- a/docs/binaryonly_fuzzing.md +++ b/docs/binaryonly_fuzzing.md @@ -95,18 +95,13 @@ utils/afl_untracer/, use afl-untracer.c as a template. It is slower than AFL FRIDA (see above). + ## ZAFL - ZAFL is a static rewriting platform for fast, space-efficient, and inlined - binary fuzzing instrumentation. It currently supports x86-64 C and C++, - stripped and unstripped, and PIE and non-PIE binaries of all sizes and complexity. - - Beyond conventional instrumentation, ZAFL's API enables transformation passes - for more effective/efficient fuzzing. Some built-in transformations include - laf-Intel-style constraint unrolling, Angora-style context sensitivity, and - InsTrim-style CFG optimizations. - - ZAFL's baseline instrumentation speed averages about 90-95% that of afl-clang-fast's - conventional LLVM instrumentation (but is even faster when enabling CFG optimizations). + ZAFL is a static rewriting platform supporting x86-64 C/C++, stripped/unstripped, + and PIE/non-PIE binaries. Beyond conventional instrumentation, ZAFL's API enables + transformation passes (e.g., laf-Intel, context sensitivity, InsTrim, etc.). + + Its baseline instrumentation speed typically averages 90-95% of afl-clang-fast's. [https://git.zephyr-software.com/opensrc/zafl](https://git.zephyr-software.com/opensrc/zafl) -- cgit 1.4.1 From e03897a0703673aa0de7772185a5b5230641cb6a Mon Sep 17 00:00:00 2001 From: vanhauser-thc Date: Sat, 23 Oct 2021 20:54:24 +0200 Subject: fix timeout bug in afl tools --- docs/Changelog.md | 6 ++++-- src/afl-analyze.c | 12 ++++++++++++ src/afl-fuzz-init.c | 4 ++-- src/afl-showmap.c | 13 +++++++++++++ src/afl-tmin.c | 12 ++++++++++++ 5 files changed, 43 insertions(+), 4 deletions(-) (limited to 'docs') diff --git a/docs/Changelog.md b/docs/Changelog.md index 63896622..04b2fb2e 100644 --- a/docs/Changelog.md +++ b/docs/Changelog.md @@ -19,8 +19,10 @@ sending a mail to . - fix stability issue with LTO and cmplog - better banner - frida_mode: David Carlier added Android support :) - - afl-showmap, afl-tmin and afl-analyze now honor persistent mode - for more speed. thanks to dloffre-snl for reporting! + - afl-showmap, afl-tmin and afl-analyze: + - honor persistent mode for more speed. thanks to dloffre-snl for + reporting! + - fix bug where targets are not killed on timeouts - Prevent accidently killing non-afl/fuzz services when aborting afl-showmap and other tools. - afl-cc: diff --git a/src/afl-analyze.c b/src/afl-analyze.c index 8295488d..09b01541 100644 --- a/src/afl-analyze.c +++ b/src/afl-analyze.c @@ -120,6 +120,17 @@ static u8 count_class_lookup[256] = { #undef TIMES8 #undef TIMES4 +static void kill_child() { + + if (fsrv.child_pid > 0) { + + kill(fsrv.child_pid, fsrv.kill_signal); + fsrv.child_pid = -1; + + } + +} + static void classify_counts(u8 *mem) { u32 i = map_size; @@ -1053,6 +1064,7 @@ int main(int argc, char **argv_orig, char **envp) { fsrv.target_path = find_binary(argv[optind]); fsrv.trace_bits = afl_shm_init(&shm, map_size, 0); detect_file_args(argv + optind, fsrv.out_file, &use_stdin); + signal(SIGALRM, kill_child); if (qemu_mode) { diff --git a/src/afl-fuzz-init.c b/src/afl-fuzz-init.c index f0e1a80d..1170715f 100644 --- a/src/afl-fuzz-init.c +++ b/src/afl-fuzz-init.c @@ -1325,8 +1325,8 @@ void pivot_inputs(afl_state_t *afl) { } - nfn = alloc_printf("%s/queue/id:%06u,time:0,execs:%llu,orig:%s", afl->out_dir, id, - afl->fsrv.total_execs, use_name); + nfn = alloc_printf("%s/queue/id:%06u,time:0,execs:%llu,orig:%s", + afl->out_dir, id, afl->fsrv.total_execs, use_name); #else diff --git a/src/afl-showmap.c b/src/afl-showmap.c index 5df07bf2..3a244c04 100644 --- a/src/afl-showmap.c +++ b/src/afl-showmap.c @@ -146,6 +146,17 @@ static const u8 count_class_binary[256] = { #undef TIMES8 #undef TIMES4 +static void kill_child() { + + if (fsrv->child_pid > 0) { + + kill(fsrv->child_pid, fsrv->kill_signal); + fsrv->child_pid = -1; + + } + +} + static void classify_counts(afl_forkserver_t *fsrv) { u8 * mem = fsrv->trace_bits; @@ -526,6 +537,8 @@ static void showmap_run_target(afl_forkserver_t *fsrv, char **argv) { } + signal(SIGALRM, kill_child); + setitimer(ITIMER_REAL, &it, NULL); if (waitpid(fsrv->child_pid, &status, 0) <= 0) { FATAL("waitpid() failed"); } diff --git a/src/afl-tmin.c b/src/afl-tmin.c index 4f3a6b80..ce2a0b8f 100644 --- a/src/afl-tmin.c +++ b/src/afl-tmin.c @@ -120,6 +120,17 @@ static const u8 count_class_lookup[256] = { #undef TIMES8 #undef TIMES4 +static void kill_child() { + + if (fsrv->child_pid > 0) { + + kill(fsrv->child_pid, fsrv->kill_signal); + fsrv->child_pid = -1; + + } + +} + static sharedmem_t *deinit_shmem(afl_forkserver_t *fsrv, sharedmem_t * shm_fuzz) { @@ -1125,6 +1136,7 @@ int main(int argc, char **argv_orig, char **envp) { fsrv->target_path = find_binary(argv[optind]); fsrv->trace_bits = afl_shm_init(&shm, map_size, 0); detect_file_args(argv + optind, out_file, &fsrv->use_stdin); + signal(SIGALRM, kill_child); if (fsrv->qemu_mode) { -- cgit 1.4.1 From b1aecf4ff0d2f82168619d40d59fcf959e7eb0f6 Mon Sep 17 00:00:00 2001 From: llzmb <46303940+llzmb@users.noreply.github.com> Date: Sat, 30 Oct 2021 21:38:13 +0200 Subject: Edit list of environment variables --- docs/env_variables.md | 771 ++++++++++++++++++++++++-------------------------- 1 file changed, 369 insertions(+), 402 deletions(-) (limited to 'docs') diff --git a/docs/env_variables.md b/docs/env_variables.md index 5f5c2510..bd66ce38 100644 --- a/docs/env_variables.md +++ b/docs/env_variables.md @@ -1,83 +1,63 @@ -# Environmental variables +# Environment variables - This document discusses the environment variables used by American Fuzzy Lop++ - to expose various exotic functions that may be (rarely) useful for power - users or for some types of custom fuzzing setups. See [../README.md](../README.md) for the general - instruction manual. + This document discusses the environment variables used by AFL++ to expose various exotic functions that may be (rarely) useful for power users or for some types of custom fuzzing setups. + For general information about AFL++, see [README.md](../README.md). - Note that most tools will warn on any unknown AFL environment variables. - This is for warning on typos that can happen. If you want to disable this - check then set the `AFL_IGNORE_UNKNOWN_ENVS` environment variable. + Note: Most tools will warn on any unknown AFL++ environment variables; for example, because of typos. If you want to disable this check, then set the `AFL_IGNORE_UNKNOWN_ENVS` environment variable. ## 1) Settings for all compilers -Starting with AFL++ 3.0 there is only one compiler: afl-cc -To select the different instrumentation modes this can be done by - 1. passing the --afl-MODE command line option to the compiler - 2. or using a symlink to afl-cc: afl-gcc, afl-g++, afl-clang, afl-clang++, - afl-clang-fast, afl-clang-fast++, afl-clang-lto, afl-clang-lto++, - afl-gcc-fast, afl-g++-fast - 3. or using the environment variable `AFL_CC_COMPILER` with `MODE` - -`MODE` can be one of `LTO` (afl-clang-lto*), `LLVM` (afl-clang-fast*), `GCC_PLUGIN` -(afl-g*-fast) or `GCC` (afl-gcc/afl-g++). - -Because (with the exception of the --afl-MODE command line option) the -compile-time tools do not accept AFL specific command-line options, they -make fairly broad use of environmental variables instead: - - - Some build/configure scripts break with AFL++ compilers. To be able to - pass them, do: -``` - export CC=afl-cc - export CXX=afl-c++ - export AFL_NOOPT=1 - ./configure --disable-shared --disabler-werror - unset AFL_NOOPT - make -``` +Starting with AFL++ 3.0, there is only one compiler: afl-cc. - - Most AFL tools do not print any output if stdout/stderr are redirected. - If you want to get the output into a file then set the `AFL_DEBUG` - environment variable. - This is sadly necessary for various build processes which fail otherwise. +To select the different instrumentation modes, use one of the following options: - - Setting `AFL_HARDEN` automatically adds code hardening options when invoking - the downstream compiler. This currently includes `-D_FORTIFY_SOURCE=2` and - `-fstack-protector-all`. The setting is useful for catching non-crashing - memory bugs at the expense of a very slight (sub-5%) performance loss. + - Pass the --afl-MODE command-line option to the compiler. Only this option accepts further AFL-specific command-line options. + - Use a symlink to afl-cc: afl-clang, afl-clang++, afl-clang-fast, afl-clang-fast++, afl-clang-lto, afl-clang-lto++, afl-gcc, afl-g++, afl-gcc-fast, afl-g++-fast. This option does not accept AFL-specific command-line options. Instead, use environment variables. + - Use the `AFL_CC_COMPILER` environment variable with `MODE`. To select `MODE`, use one of the following values: - - By default, the wrapper appends `-O3` to optimize builds. Very rarely, this - will cause problems in programs built with -Werror, simply because `-O3` - enables more thorough code analysis and can spew out additional warnings. - To disable optimizations, set `AFL_DONT_OPTIMIZE`. - However if `-O...` and/or `-fno-unroll-loops` are set, these are not - overridden. + - `GCC` (afl-gcc/afl-g++) + - `GCC_PLUGIN` (afl-g*-fast) + - `LLVM` (afl-clang-fast*) + - `LTO` (afl-clang-lto*). - - Setting `AFL_USE_ASAN` automatically enables ASAN, provided that your - compiler supports it. +The compile-time tools do not accept AFL-specific command-line options. The --afl-MODE command line option is the only exception. The other options make fairly broad use of environment variables instead: - (You can also enable MSAN via `AFL_USE_MSAN`; ASAN and MSAN come with the - same gotchas; the modes are mutually exclusive. UBSAN can be enabled - similarly by setting the environment variable `AFL_USE_UBSAN=1`. Finally - there is the Control Flow Integrity sanitizer that can be activated by - `AFL_USE_CFISAN=1`) + - Some build/configure scripts break with AFL++ compilers. + To be able to pass them, do: - - Setting `AFL_USE_LSAN` automatically enables Leak-Sanitizer, provided - that your compiler supports it. To perform a leak check within your - program at a certain point (such as at the end of an __AFL_LOOP), - you can run the macro __AFL_LEAK_CHECK(); which will cause - an abort if any memory is leaked (you can combine this with the - LSAN_OPTIONS=suppressions option to supress some known leaks). + ``` + export CC=afl-cc + export CXX=afl-c++ + export AFL_NOOPT=1 + ./configure --disable-shared --disabler-werror + unset AFL_NOOPT + make + ``` + + - If you are a weird person that wants to compile and instrument asm + text files, then use the `AFL_AS_FORCE_INSTRUMENT` variable: + `AFL_AS_FORCE_INSTRUMENT=1 afl-gcc foo.s -o foo` - Setting `AFL_CC`, `AFL_CXX`, and `AFL_AS` lets you use alternate downstream compilation tools, rather than the default 'clang', 'gcc', or 'as' binaries in your `$PATH`. - - `AFL_PATH` can be used to point afl-gcc to an alternate location of afl-as. - One possible use of this is utils/clang_asm_normalize/, which lets - you instrument hand-written assembly when compiling clang code by plugging - a normalizer into the chain. (There is no equivalent feature for GCC.) + - Most AFL tools do not print any output if stdout/stderr are redirected. + If you want to get the output into a file, then set the `AFL_DEBUG` + environment variable. + This is sadly necessary for various build processes which fail otherwise. + + - By default, the wrapper appends `-O3` to optimize builds. Very rarely, this + will cause problems in programs built with -Werror, simply because `-O3` + enables more thorough code analysis and can spew out additional warnings. + To disable optimizations, set `AFL_DONT_OPTIMIZE`. + However, if `-O...` and/or `-fno-unroll-loops` are set, these are not + overridden. + + - Setting `AFL_HARDEN` automatically adds code hardening options when invoking + the downstream compiler. This currently includes `-D_FORTIFY_SOURCE=2` and + `-fstack-protector-all`. The setting is useful for catching non-crashing + memory bugs at the expense of a very slight (sub-5%) performance loss. - Setting `AFL_INST_RATIO` to a percentage between 0 and 100 controls the probability of instrumenting every branch. This is (very rarely) useful @@ -97,20 +77,37 @@ make fairly broad use of environmental variables instead: - `AFL_NO_BUILTIN` causes the compiler to generate code suitable for use with libtokencap.so (but perhaps running a bit slower than without the flag). - - `TMPDIR` is used by afl-as for temporary files; if this variable is not set, - the tool defaults to /tmp. - - - If you are a weird person that wants to compile and instrument asm - text files then use the `AFL_AS_FORCE_INSTRUMENT` variable: - `AFL_AS_FORCE_INSTRUMENT=1 afl-gcc foo.s -o foo` + - `AFL_PATH` can be used to point afl-gcc to an alternate location of afl-as. + One possible use of this is utils/clang_asm_normalize/, which lets + you instrument hand-written assembly when compiling clang code by plugging + a normalizer into the chain. + (There is no equivalent feature for GCC.) - Setting `AFL_QUIET` will prevent afl-cc and afl-as banners from being displayed during compilation, in case you find them distracting. + - Setting `AFL_USE_ASAN` automatically enables ASAN, provided that your + compiler supports it. + + (You can also enable MSAN via `AFL_USE_MSAN`; ASAN and MSAN come with the + same gotchas; the modes are mutually exclusive. UBSAN can be enabled + similarly by setting the environment variable `AFL_USE_UBSAN=1`. Finally, + there is the Control Flow Integrity sanitizer that can be activated by + `AFL_USE_CFISAN=1`.) + + - Setting `AFL_USE_LSAN` automatically enables Leak-Sanitizer, provided + that your compiler supports it. To perform a leak check within your + program at a certain point (such as at the end of an __AFL_LOOP), + you can run the macro __AFL_LEAK_CHECK(); which will cause + an abort if any memory is leaked (you can combine this with the + LSAN_OPTIONS=suppressions option to supress some known leaks). + + - `TMPDIR` is used by afl-as for temporary files; if this variable is not set, + the tool defaults to /tmp. + ## 2) Settings for LLVM and LTO: afl-clang-fast / afl-clang-fast++ / afl-clang-lto / afl-clang-lto++ -The native instrumentation helpers (instrumentation and gcc_plugin) accept a subset -of the settings discussed in section 1, with the exception of: +The native instrumentation helpers (instrumentation and gcc_plugin) accept a subset of the settings discussed in section 1, with the exception of: - LLVM modes support `AFL_LLVM_DICT2FILE=/absolute/path/file.txt` which will write all constant string comparisons to this file to be used later with @@ -121,204 +118,219 @@ of the settings discussed in section 1, with the exception of: - `TMPDIR` and `AFL_KEEP_ASSEMBLY`, since no temporary assembly files are created. - - `AFL_INST_RATIO`, as we by default use collision free instrumentation. + - `AFL_INST_RATIO`, as we use collision free instrumentation by default. Not all passes support this option though as it is an outdated feature. Then there are a few specific features that are only available in instrumentation mode: ### Select the instrumentation mode - - `AFL_LLVM_INSTRUMENT` - this configures the instrumentation mode. - Available options: - PCGUARD - our own pcgard based instrumentation (default) - NATIVE - clang's original pcguard based instrumentation - CLASSIC - classic AFL (map[cur_loc ^ prev_loc >> 1]++) (default) - LTO - LTO instrumentation (see below) - CTX - context sensitive instrumentation (see below) - NGRAM-x - deeper previous location coverage (from NGRAM-2 up to NGRAM-16) - GCC - outdated gcc instrumentation - CLANG - outdated clang instrumentation - In CLASSIC you can also specify CTX and/or NGRAM, seperate the options - with a comma "," then, e.g.: - `AFL_LLVM_INSTRUMENT=CLASSIC,CTX,NGRAM-4` - Note that this is actually not a good idea to use both CTX and NGRAM :) - -### LTO - - This is a different kind way of instrumentation: first it compiles all - code in LTO (link time optimization) and then performs an edge inserting - instrumentation which is 100% collision free (collisions are a big issue - in AFL and AFL-like instrumentations). This is performed by using - afl-clang-lto/afl-clang-lto++ instead of afl-clang-fast, but is only - built if LLVM 11 or newer is used. - - - `AFL_LLVM_INSTRUMENT=CFG` will use Control Flow Graph instrumentation. - (not recommended for afl-clang-fast, default for afl-clang-lto as there - it is a different and better kind of instrumentation.) - - None of the following options are necessary to be used and are rather for - manual use (which only ever the author of this LTO implementation will use). - These are used if several separated instrumentations are performed which - are then later combined. - - - `AFL_LLVM_DOCUMENT_IDS=file` will document to a file which edge ID was given - to which function. This helps to identify functions with variable bytes - or which functions were touched by an input. - - `AFL_LLVM_MAP_ADDR` sets the fixed map address to a different address than - the default `0x10000`. A value of 0 or empty sets the map address to be - dynamic (the original AFL way, which is slower) - - `AFL_LLVM_MAP_DYNAMIC` sets the shared memory address to be dynamic - - `AFL_LLVM_LTO_STARTID` sets the starting location ID for the instrumentation. - This defaults to 1 - - `AFL_LLVM_LTO_DONTWRITEID` prevents that the highest location ID written - into the instrumentation is set in a global variable - - See [instrumentation/README.lto.md](../instrumentation/README.lto.md) for more information. - -### NGRAM - - - Setting `AFL_LLVM_NGRAM_SIZE` or `AFL_LLVM_INSTRUMENT=NGRAM-{value}` - activates ngram prev_loc coverage, good values are 2, 4 or 8 - (any value between 2 and 16 is valid). - It is highly recommended to increase the `MAP_SIZE_POW2` definition in - config.h to at least 18 and maybe up to 20 for this as otherwise too - many map collisions occur. - - See [instrumentation/README.ngram.md](../instrumentation/README.ngram.md) - -### CTX - - - Setting `AFL_LLVM_CTX` or `AFL_LLVM_INSTRUMENT=CTX` - activates context sensitive branch coverage - meaning that each edge - is additionally combined with its caller. - It is highly recommended to increase the `MAP_SIZE_POW2` definition in - config.h to at least 18 and maybe up to 20 for this as otherwise too - many map collisions occur. - - See [instrumentation/README.ctx.md](../instrumentation/README.ctx.md) +`AFL_LLVM_INSTRUMENT` - this configures the instrumentation mode. + +Available options: + + - CLANG - outdated clang instrumentation + - CLASSIC - classic AFL (map[cur_loc ^ prev_loc >> 1]++) (default) + + You can also specify CTX and/or NGRAM, seperate the options with a comma "," then, e.g.: `AFL_LLVM_INSTRUMENT=CLASSIC,CTX,NGRAM-4` + + Note: It is actually not a good idea to use both CTX and NGRAM. :) + - CTX - context sensitive instrumentation (see below) + - GCC - outdated gcc instrumentation + - LTO - LTO instrumentation (see below) + - NATIVE - clang's original pcguard based instrumentation + - NGRAM-x - deeper previous location coverage (from NGRAM-2 up to NGRAM-16) + - PCGUARD - our own pcgard based instrumentation (default) + +#### CTX + +Setting `AFL_LLVM_CTX` or `AFL_LLVM_INSTRUMENT=CTX` activates context sensitive branch coverage - meaning that each edge is additionally combined with its caller. +It is highly recommended to increase the `MAP_SIZE_POW2` definition in config.h to at least 18 and maybe up to 20 for this as otherwise too many map collisions occur. + +For more information, see [instrumentation/README.ctx.md](../instrumentation/README.ctx.md). + +#### LTO + +This is a different kind way of instrumentation: first it compiles all code in LTO (link time optimization) and then performs an edge inserting instrumentation which is 100% collision free (collisions are a big issue in AFL and AFL-like instrumentations). +This is performed by using afl-clang-lto/afl-clang-lto++ instead of afl-clang-fast, but is only built if LLVM 11 or newer is used. + + - `AFL_LLVM_INSTRUMENT=CFG` will use Control Flow Graph instrumentation. + (not recommended for afl-clang-fast, default for afl-clang-lto as there + it is a different and better kind of instrumentation.) + +None of the following options are necessary to be used and are rather for manual use (which only ever the author of this LTO implementation will use). +These are used if several separated instrumentations are performed which are then later combined. + + - `AFL_LLVM_DOCUMENT_IDS=file` will document to a file which edge ID was given + to which function. This helps to identify functions with variable bytes + or which functions were touched by an input. + - `AFL_LLVM_MAP_ADDR` sets the fixed map address to a different address than + the default `0x10000`. A value of 0 or empty sets the map address to be + dynamic (the original AFL way, which is slower) + - `AFL_LLVM_MAP_DYNAMIC` sets the shared memory address to be dynamic + - `AFL_LLVM_LTO_STARTID` sets the starting location ID for the instrumentation. + This defaults to 1 + - `AFL_LLVM_LTO_DONTWRITEID` prevents that the highest location ID written + into the instrumentation is set in a global variable + + For more information, see [instrumentation/README.lto.md](../instrumentation/README.lto.md). + +#### NGRAM + +Setting `AFL_LLVM_NGRAM_SIZE` or `AFL_LLVM_INSTRUMENT=NGRAM-{value}` activates ngram prev_loc coverage, good values are 2, 4 or 8 (any value between 2 and 16 is valid). +It is highly recommended to increase the `MAP_SIZE_POW2` definition in config.h to at least 18 and maybe up to 20 for this as otherwise too many map collisions occur. + +For more information, see [instrumentation/README.ngram.md](../instrumentation/README.ngram.md). ### LAF-INTEL - This great feature will split compares into series of single byte comparisons - to allow afl-fuzz to find otherwise rather impossible paths. It is not - restricted to Intel CPUs ;-) +This great feature will split compares into series of single byte comparisons to allow afl-fuzz to find otherwise rather impossible paths. +It is not restricted to Intel CPUs. ;-) - - Setting `AFL_LLVM_LAF_TRANSFORM_COMPARES` will split string compare functions + - Setting `AFL_LLVM_LAF_TRANSFORM_COMPARES` will split string compare functions - - Setting `AFL_LLVM_LAF_SPLIT_SWITCHES` will split all `switch` constructs + - Setting `AFL_LLVM_LAF_SPLIT_SWITCHES` will split all `switch` constructs - - Setting `AFL_LLVM_LAF_SPLIT_COMPARES` will split all floating point and - 64, 32 and 16 bit integer CMP instructions + - Setting `AFL_LLVM_LAF_SPLIT_COMPARES` will split all floating point and + 64, 32 and 16 bit integer CMP instructions - - Setting `AFL_LLVM_LAF_SPLIT_FLOATS` will split floating points, needs - AFL_LLVM_LAF_SPLIT_COMPARES to be set + - Setting `AFL_LLVM_LAF_SPLIT_FLOATS` will split floating points, needs + AFL_LLVM_LAF_SPLIT_COMPARES to be set - - Setting `AFL_LLVM_LAF_ALL` sets all of the above + - Setting `AFL_LLVM_LAF_ALL` sets all of the above - See [instrumentation/README.laf-intel.md](../instrumentation/README.laf-intel.md) for more information. +For more information, see [instrumentation/README.laf-intel.md](../instrumentation/README.laf-intel.md). ### INSTRUMENT LIST (selectively instrument files and functions) - This feature allows selective instrumentation of the source +This feature allows selective instrumentation of the source. - - Setting `AFL_LLVM_ALLOWLIST` or `AFL_LLVM_DENYLIST` with a filenames and/or - function will only instrument (or skip) those files that match the names - listed in the specified file. +Setting `AFL_LLVM_ALLOWLIST` or `AFL_LLVM_DENYLIST` with a filenames and/or function will only instrument (or skip) those files that match the names listed in the specified file. - See [instrumentation/README.instrument_list.md](../instrumentation/README.instrument_list.md) for more information. +For more information, see [instrumentation/README.instrument_list.md](../instrumentation/README.instrument_list.md). ### Thread safe instrumentation counters (in all modes) - - Setting `AFL_LLVM_THREADSAFE_INST` will inject code that implements thread - safe counters. The overhead is a little bit higher compared to the older - non-thread safe case. Note that this disables neverzero (see below). +Setting `AFL_LLVM_THREADSAFE_INST` will inject code that implements thread +safe counters. The overhead is a little bit higher compared to the older +non-thread safe case. Note that this disables neverzero (see below). ### NOT_ZERO - - Setting `AFL_LLVM_NOT_ZERO=1` during compilation will use counters - that skip zero on overflow. This is the default for llvm >= 9, - however for llvm versions below that this will increase an unnecessary - slowdown due a performance issue that is only fixed in llvm 9+. - This feature increases path discovery by a little bit. + - Setting `AFL_LLVM_NOT_ZERO=1` during compilation will use counters + that skip zero on overflow. This is the default for llvm >= 9, + however, for llvm versions below that this will increase an unnecessary + slowdown due a performance issue that is only fixed in llvm 9+. + This feature increases path discovery by a little bit. - - Setting `AFL_LLVM_SKIP_NEVERZERO=1` will not implement the skip zero - test. If the target performs only few loops then this will give a - small performance boost. + - Setting `AFL_LLVM_SKIP_NEVERZERO=1` will not implement the skip zero + test. If the target performs only few loops, then this will give a + small performance boost. - See [instrumentation/README.neverzero.md](../instrumentation/README.neverzero.md) +For more information, see [instrumentation/README.neverzero.md](../instrumentation/README.neverzero.md). ### CMPLOG - - Setting `AFL_LLVM_CMPLOG=1` during compilation will tell afl-clang-fast to - produce a CmpLog binary. + - Setting `AFL_LLVM_CMPLOG=1` during compilation will tell afl-clang-fast to + produce a CmpLog binary. - See [instrumentation/README.cmplog.md](../instrumentation/README.cmplog.md) +For more information, see [instrumentation/README.cmplog.md](../instrumentation/README.cmplog.md). ## 3) Settings for GCC / GCC_PLUGIN modes Then there are a few specific features that are only available in GCC and GCC_PLUGIN mode. + - Setting `AFL_GCC_INSTRUMENT_FILE` with a filename will only instrument those + files that match the names listed in this file (one filename per line). + See [instrumentation/README.instrument_list.md](../instrumentation/README.instrument_list.md) for more information. + (GCC_PLUGIN mode only) + - Setting `AFL_KEEP_ASSEMBLY` prevents afl-as from deleting instrumented assembly files. Useful for troubleshooting problems or understanding how the tool works. (GCC mode only) To get them in a predictable place, try something like: -``` + + ``` mkdir assembly_here TMPDIR=$PWD/assembly_here AFL_KEEP_ASSEMBLY=1 make clean all -``` - - Setting `AFL_GCC_INSTRUMENT_FILE` with a filename will only instrument those - files that match the names listed in this file (one filename per line). - See [instrumentation/README.instrument_list.md](../instrumentation/README.instrument_list.md) for more information. - (GCC_PLUGIN mode only) + ``` ## 4) Settings for afl-fuzz The main fuzzer binary accepts several options that disable a couple of sanity checks or alter some of the more exotic semantics of the tool: - - Setting `AFL_SKIP_CPUFREQ` skips the check for CPU scaling policy. This is - useful if you can't change the defaults (e.g., no root access to the - system) and are OK with some performance loss. + - Setting `AFL_AUTORESUME` will resume a fuzz run (same as providing `-i -`) + for an existing out folder, even if a different `-i` was provided. + Without this setting, afl-fuzz will refuse execution for a long-fuzzed out dir. - - `AFL_EXIT_WHEN_DONE` causes afl-fuzz to terminate when all existing paths - have been fuzzed and there were no new finds for a while. This would be - normally indicated by the cycle counter in the UI turning green. May be - convenient for some types of automated jobs. + - Benchmarking only: `AFL_BENCH_JUST_ONE` causes the fuzzer to exit after + processing the first queue entry; and `AFL_BENCH_UNTIL_CRASH` causes it to + exit soon after the first crash is found. - - `AFL_EXIT_ON_TIME` Causes afl-fuzz to terminate if no new paths were - found within a specified period of time (in seconds). May be convenient - for some types of automated jobs. + - `AFL_CMPLOG_ONLY_NEW` will only perform the expensive cmplog feature for + newly found testcases and not for testcases that are loaded on startup + (`-i in`). + This is an important feature to set when resuming a fuzzing session. - - `AFL_EXIT_ON_SEED_ISSUES` will restore the vanilla afl-fuzz behaviour - which does not allow crashes or timeout seeds in the initial -i corpus. + - Setting `AFL_CRASH_EXITCODE` sets the exit code AFL treats as crash. + For example, if `AFL_CRASH_EXITCODE='-1'` is set, each input resulting + in an `-1` return code (i.e. `exit(-1)` got called), will be treated + as if a crash had ocurred. + This may be beneficial if you look for higher-level faulty conditions in which your target still exits gracefully. - - `AFL_MAP_SIZE` sets the size of the shared map that afl-fuzz, afl-showmap, - afl-tmin and afl-analyze create to gather instrumentation data from - the target. This must be equal or larger than the size the target was - compiled with. + - Setting `AFL_CUSTOM_MUTATOR_LIBRARY` to a shared library with + afl_custom_fuzz() creates additional mutations through this library. + If afl-fuzz is compiled with Python (which is autodetected during building + afl-fuzz), setting `AFL_PYTHON_MODULE` to a Python module can also provide + additional mutations. + If `AFL_CUSTOM_MUTATOR_ONLY` is also set, all mutations will solely be + performed with the custom mutator. + This feature allows to configure custom mutators which can be very helpful, + e.g. fuzzing XML or other highly flexible structured input. + Please see [custom_mutators.md](custom_mutators.md). - - `AFL_CMPLOG_ONLY_NEW` will only perform the expensive cmplog feature for - newly found testcases and not for testcases that are loaded on startup - (`-i in`). This is an important feature to set when resuming a fuzzing - session. + - Setting `AFL_CYCLE_SCHEDULES` will switch to a different schedule everytime + a cycle is finished. - - `AFL_TESTCACHE_SIZE` allows you to override the size of `#define TESTCASE_CACHE` - in config.h. Recommended values are 50-250MB - or more if your fuzzing - finds a huge amount of paths for large inputs. + - Setting `AFL_DEBUG_CHILD` will not suppress the child output. + This lets you see all output of the child, making setup issues obvious. + For example, in an unicornafl harness, you might see python stacktraces. + You may also see other logs that way, indicating why the forkserver won't start. + Not pretty but good for debugging purposes. + Note that `AFL_DEBUG_CHILD_OUTPUT` is deprecated. - Setting `AFL_DISABLE_TRIM` tells afl-fuzz not to trim test cases. This is usually a bad idea! - - Setting `AFL_NO_AFFINITY` disables attempts to bind to a specific CPU core - on Linux systems. This slows things down, but lets you run more instances - of afl-fuzz than would be prudent (if you really want to). + - `AFL_EXIT_ON_SEED_ISSUES` will restore the vanilla afl-fuzz behaviour + which does not allow crashes or timeout seeds in the initial -i corpus. - - Setting `AFL_TRY_AFFINITY` tries to attempt binding to a specific CPU core - on Linux systems, but will not terminate if that fails. + - `AFL_EXIT_ON_TIME` Causes afl-fuzz to terminate if no new paths were + found within a specified period of time (in seconds). May be convenient + for some types of automated jobs. - - Setting `AFL_NO_AUTODICT` will not load an LTO generated auto dictionary - that is compiled into the target. + - `AFL_EXIT_WHEN_DONE` causes afl-fuzz to terminate when all existing paths + have been fuzzed and there were no new finds for a while. This would be + normally indicated by the cycle counter in the UI turning green. May be + convenient for some types of automated jobs. + + - Setting `AFL_EXPAND_HAVOC_NOW` will start in the extended havoc mode that + includes costly mutations. afl-fuzz automatically enables this mode when + deemed useful otherwise. + + - `AFL_FAST_CAL` keeps the calibration stage about 2.5x faster (albeit less + precise), which can help when starting a session against a slow target. + `AFL_CAL_FAST` works too. + + - Setting `AFL_FORCE_UI` will force painting the UI on the screen even if + no valid terminal was detected (for virtual consoles). + + - Setting `AFL_FORKSRV_INIT_TMOUT` allows you to specify a different timeout + to wait for the forkserver to spin up. + The default is the `-t` value times `FORK_WAIT_MULT` from `config.h` (usually 10), so for a `-t 100`, the default would wait for `1000` milliseconds. + Setting a different time here is useful if the target has a very slow startup time, for example when doing full-system fuzzing or emulation, but you don't want the actual runs to wait too long for timeouts. - Setting `AFL_HANG_TMOUT` allows you to specify a different timeout for deciding if a particular test case is a "hang". The default is 1 second @@ -327,188 +339,137 @@ checks or alter some of the more exotic semantics of the tool: don't want AFL++ to spend too much time classifying that stuff and just rapidly put all timeouts in that bin. - - Setting `AFL_FORKSRV_INIT_TMOUT` allows you to specify a different timeout - to wait for the forkserver to spin up. The default is the `-t` value times - `FORK_WAIT_MULT` from `config.h` (usually 10), so for a `-t 100`, the - default would wait for `1000` milliseconds. Setting a different time here is useful - if the target has a very slow startup time, for example when doing - full-system fuzzing or emulation, but you don't want the actual runs - to wait too long for timeouts. - - - `AFL_NO_ARITH` causes AFL++ to skip most of the deterministic arithmetics. - This can be useful to speed up the fuzzing of text-based file formats. - - - `AFL_NO_SNAPSHOT` will advice afl-fuzz not to use the snapshot feature - if the snapshot lkm is loaded - - - `AFL_SHUFFLE_QUEUE` randomly reorders the input queue on startup. Requested - by some users for unorthodox parallelized fuzzing setups, but not - advisable otherwise. - - - `AFL_TMPDIR` is used to write the `.cur_input` file to if exists, and in - the normal output directory otherwise. You would use this to point to - a ramdisk/tmpfs. This increases the speed by a small value but also - reduces the stress on SSDs. + - If you are Jakub, you may need `AFL_I_DONT_CARE_ABOUT_MISSING_CRASHES`. + Others need not apply, unless they also want to disable the + `/proc/sys/kernel/core_pattern` check. - - When developing custom instrumentation on top of afl-fuzz, you can use - `AFL_SKIP_BIN_CHECK` to inhibit the checks for non-instrumented binaries - and shell scripts; and `AFL_DUMB_FORKSRV` in conjunction with the `-n` - setting to instruct afl-fuzz to still follow the fork server protocol - without expecting any instrumentation data in return. - Note that this also turns off auto map size detection. + - If afl-fuzz encounters an incorrect fuzzing setup during a fuzzing session + (not at startup), it will terminate. If you do not want this, then you can + set `AFL_IGNORE_PROBLEMS`. - When running in the `-M` or `-S` mode, setting `AFL_IMPORT_FIRST` causes the fuzzer to import test cases from other instances before doing anything - else. This makes the "own finds" counter in the UI more accurate. + else. + This makes the "own finds" counter in the UI more accurate. Beyond counter aesthetics, not much else should change. - - Note that `AFL_POST_LIBRARY` is deprecated, use `AFL_CUSTOM_MUTATOR_LIBRARY` - instead (see below). - - `AFL_KILL_SIGNAL`: Set the signal ID to be delivered to child processes on timeout. Unless you implement your own targets or instrumentation, you likely don't have to set it. By default, on timeout and on exit, `SIGKILL` (`AFL_KILL_SIGNAL=9`) will be delivered to the child. - - Setting `AFL_CUSTOM_MUTATOR_LIBRARY` to a shared library with - afl_custom_fuzz() creates additional mutations through this library. - If afl-fuzz is compiled with Python (which is autodetected during building - afl-fuzz), setting `AFL_PYTHON_MODULE` to a Python module can also provide - additional mutations. - If `AFL_CUSTOM_MUTATOR_ONLY` is also set, all mutations will solely be - performed with the custom mutator. - This feature allows to configure custom mutators which can be very helpful, - e.g. fuzzing XML or other highly flexible structured input. - Please see [custom_mutators.md](custom_mutators.md). + - `AFL_MAP_SIZE` sets the size of the shared map that afl-fuzz, afl-showmap, + afl-tmin and afl-analyze create to gather instrumentation data from + the target. This must be equal or larger than the size the target was + compiled with. - - `AFL_FAST_CAL` keeps the calibration stage about 2.5x faster (albeit less - precise), which can help when starting a session against a slow target. - `AFL_CAL_FAST` works too. + - Setting `AFL_MAX_DET_EXRAS` will change the threshold at what number of elements in the `-x` dictionary and LTO autodict (combined) the probabilistic mode will kick off. + In probabilistic mode, not all dictionary entries will be used all of the time for fuzzing mutations to not slow down fuzzing. + The default count is `200` elements. + So for the 200 + 1st element, there is a 1 in 201 chance, that one of the dictionary entries will not be used directly. - - The CPU widget shown at the bottom of the screen is fairly simplistic and - may complain of high load prematurely, especially on systems with low core - counts. To avoid the alarming red color, you can set `AFL_NO_CPU_RED`. + - Setting `AFL_NO_AFFINITY` disables attempts to bind to a specific CPU core + on Linux systems. This slows things down, but lets you run more instances + of afl-fuzz than would be prudent (if you really want to). - - In QEMU mode (-Q) and Frida mode (-O), `AFL_PATH` will - be searched for afl-qemu-trace and afl-frida-trace.so. + - `AFL_NO_ARITH` causes AFL++ to skip most of the deterministic arithmetics. + This can be useful to speed up the fuzzing of text-based file formats. - - In QEMU mode (-Q), setting `AFL_QEMU_CUSTOM_BIN` cause afl-fuzz to skip - prepending `afl-qemu-trace` to your command line. Use this if you wish to use a - custom afl-qemu-trace or if you need to modify the afl-qemu-trace arguments. + - Setting `AFL_NO_AUTODICT` will not load an LTO generated auto dictionary + that is compiled into the target. - - Setting `AFL_CYCLE_SCHEDULES` will switch to a different schedule everytime - a cycle is finished. + - The CPU widget shown at the bottom of the screen is fairly simplistic and + may complain of high load prematurely, especially on systems with low core + counts. + To avoid the alarming red color for very high cpu usages, you can set `AFL_NO_CPU_RED`. - - Setting `AFL_EXPAND_HAVOC_NOW` will start in the extended havoc mode that - includes costly mutations. afl-fuzz automatically enables this mode when - deemed useful otherwise. + - Setting `AFL_NO_COLOR` or `AFL_NO_COLOUR` will omit control sequences for + coloring console output when configured with USE_COLOR and not ALWAYS_COLORED. - - Setting `AFL_PRELOAD` causes AFL++ to set `LD_PRELOAD` for the target binary - without disrupting the afl-fuzz process itself. This is useful, among other - things, for bootstrapping libdislocator.so. + - Setting `AFL_NO_FORKSRV` disables the forkserver optimization, reverting to + fork + execve() call for every tested input. + This is useful mostly when working with unruly libraries that create threads or do other crazy things when initializing (before the instrumentation has a chance to run). - - Setting `AFL_TARGET_ENV` causes AFL++ to set extra environment variables - for the target binary. Example: `AFL_TARGET_ENV="VAR1=1 VAR2='a b c'" afl-fuzz ... ` - This exists mostly for things like `LD_LIBRARY_PATH` but it would theoretically - allow fuzzing of AFL++ itself (with 'target' AFL++ using some AFL_ vars that - would disrupt work of 'fuzzer' AFL++). + Note that this setting inhibits some of the user-friendly diagnostics + normally done when starting up the forkserver and causes a pretty + significant performance drop. + + - `AFL_NO_SNAPSHOT` will advice afl-fuzz not to use the snapshot feature + if the snapshot lkm is loaded. - Setting `AFL_NO_UI` inhibits the UI altogether, and just periodically prints - some basic stats. This behavior is also automatically triggered when the - output from afl-fuzz is redirected to a file or to a pipe. + some basic stats. + This behavior is also automatically triggered when the output from afl-fuzz is redirected to a file or to a pipe. - - Setting `AFL_NO_COLOR` or `AFL_NO_COLOUR` will omit control sequences for - coloring console output when configured with USE_COLOR and not ALWAYS_COLORED. + - In QEMU mode (-Q) and Frida mode (-O), `AFL_PATH` will be searched for afl-qemu-trace and afl-frida-trace.so. - - Setting `AFL_FORCE_UI` will force painting the UI on the screen even if - no valid terminal was detected (for virtual consoles) - - - If you are using persistent mode (you should, see [instrumentation/README.persistent_mode.md](../instrumentation/README.persistent_mode.md)) - some targets keep inherent state due which a detected crash testcase does - not crash the target again when the testcase is given. To be able to still - re-trigger these crashes you can use the `AFL_PERSISTENT_RECORD` variable - with a value of how many previous fuzz cases to keep prio a crash. - if set to e.g. 10, then the 9 previous inputs are written to - out/default/crashes as RECORD:000000,cnt:000000 to RECORD:000000,cnt:000008 - and RECORD:000000,cnt:000009 being the crash case. + - If you are using persistent mode (you should, see [instrumentation/README.persistent_mode.md](../instrumentation/README.persistent_mode.md)), some targets keep inherent state due which a detected crash testcase does not crash the target again when the testcase is given. + To be able to still re-trigger these crashes you can use the `AFL_PERSISTENT_RECORD` variable with a value of how many previous fuzz cases to keep prio a crash. + If set to e.g. 10, then the 9 previous inputs are written to out/default/crashes as RECORD:000000,cnt:000000 to RECORD:000000,cnt:000008 and RECORD:000000,cnt:000009 being the crash case. NOTE: This option needs to be enabled in config.h first! - - If afl-fuzz encounters an incorrect fuzzing setup during a fuzzing session - (not at startup), it will terminate. If you do not want this then you can - set `AFL_IGNORE_PROBLEMS`. - - - If you are Jakub, you may need `AFL_I_DONT_CARE_ABOUT_MISSING_CRASHES`. - Others need not apply, unless they also want to disable the - `/proc/sys/kernel/core_pattern` check. - - - Benchmarking only: `AFL_BENCH_JUST_ONE` causes the fuzzer to exit after - processing the first queue entry; and `AFL_BENCH_UNTIL_CRASH` causes it to - exit soon after the first crash is found. - - - Setting `AFL_DEBUG_CHILD` will not suppress the child output. - This lets you see all output of the child, making setup issues obvious. - For example, in an unicornafl harness, you might see python stacktraces. - You may also see other logs that way, indicating why the forkserver won't start. - Not pretty but good for debugging purposes. - Note that `AFL_DEBUG_CHILD_OUTPUT` is deprecated. + - Note that `AFL_POST_LIBRARY` is deprecated, use `AFL_CUSTOM_MUTATOR_LIBRARY` + instead (see below). - - Setting `AFL_NO_CPU_RED` will not display very high cpu usages in red color. + - Setting `AFL_PRELOAD` causes AFL++ to set `LD_PRELOAD` for the target binary + without disrupting the afl-fuzz process itself. + This is useful, among other things, for bootstrapping libdislocator.so. - - Setting `AFL_AUTORESUME` will resume a fuzz run (same as providing `-i -`) - for an existing out folder, even if a different `-i` was provided. - Without this setting, afl-fuzz will refuse execution for a long-fuzzed out dir. + - In QEMU mode (-Q), setting `AFL_QEMU_CUSTOM_BIN` will cause afl-fuzz to skip + prepending `afl-qemu-trace` to your command line. + Use this if you wish to use a custom afl-qemu-trace or if you need to modify the afl-qemu-trace arguments. - - Setting `AFL_MAX_DET_EXRAS` will change the threshold at what number of elements - in the `-x` dictionary and LTO autodict (combined) the probabilistic mode will - kick off. In probabilistic mode, not all dictionary entries will be used all - of the time for fuzzing mutations to not slow down fuzzing. - The default count is `200` elements. So for the 200 + 1st element, there is a - 1 in 201 chance, that one of the dictionary entries will not be used directly. + - `AFL_SHUFFLE_QUEUE` randomly reorders the input queue on startup. + Requested by some users for unorthodox parallelized fuzzing setups, but not + advisable otherwise. - - Setting `AFL_NO_FORKSRV` disables the forkserver optimization, reverting to - fork + execve() call for every tested input. This is useful mostly when - working with unruly libraries that create threads or do other crazy - things when initializing (before the instrumentation has a chance to run). + - When developing custom instrumentation on top of afl-fuzz, you can use + `AFL_SKIP_BIN_CHECK` to inhibit the checks for non-instrumented binaries + and shell scripts; and `AFL_DUMB_FORKSRV` in conjunction with the `-n` + setting to instruct afl-fuzz to still follow the fork server protocol + without expecting any instrumentation data in return. + Note that this also turns off auto map size detection. - Note that this setting inhibits some of the user-friendly diagnostics - normally done when starting up the forkserver and causes a pretty - significant performance drop. + - Setting `AFL_SKIP_CPUFREQ` skips the check for CPU scaling policy. This is + useful if you can't change the defaults (e.g., no root access to the + system) and are OK with some performance loss. - Setting `AFL_STATSD` enables StatsD metrics collection. - By default AFL++ will send these metrics over UDP to 127.0.0.1:8125. + By default, AFL++ will send these metrics over UDP to 127.0.0.1:8125. The host and port are configurable with `AFL_STATSD_HOST` and `AFL_STATSD_PORT` respectively. - To enable tags (banner and afl_version) you should provide `AFL_STATSD_TAGS_FLAVOR` that matches - your StatsD server (see `AFL_STATSD_TAGS_FLAVOR`) + To enable tags (banner and afl_version), you should provide `AFL_STATSD_TAGS_FLAVOR` that matches your StatsD server (see `AFL_STATSD_TAGS_FLAVOR`). - - Setting `AFL_STATSD_TAGS_FLAVOR` to one of `dogstatsd`, `librato`, `signalfx` or `influxdb` - allows you to add tags to your fuzzing instances. This is especially useful when running - multiple instances (`-M/-S` for example). Applied tags are `banner` and `afl_version`. + - Setting `AFL_STATSD_TAGS_FLAVOR` to one of `dogstatsd`, `librato`, `signalfx` or `influxdb` allows you to add tags to your fuzzing instances. + This is especially useful when running multiple instances (`-M/-S` for example). + Applied tags are `banner` and `afl_version`. `banner` corresponds to the name of the fuzzer provided through `-M/-S`. - `afl_version` corresponds to the currently running AFL version (e.g `++3.0c`). + `afl_version` corresponds to the currently running AFL version (e.g. `++3.0c`). Default (empty/non present) will add no tags to the metrics. - See [rpc_statsd.md](rpc_statsd.md) for more information. + For more information, see [rpc_statsd.md](rpc_statsd.md). - - Setting `AFL_CRASH_EXITCODE` sets the exit code AFL treats as crash. - For example, if `AFL_CRASH_EXITCODE='-1'` is set, each input resulting - in an `-1` return code (i.e. `exit(-1)` got called), will be treated - as if a crash had ocurred. - This may be beneficial if you look for higher-level faulty conditions in which your - target still exits gracefully. + - Setting `AFL_TARGET_ENV` causes AFL++ to set extra environment variables + for the target binary. Example: `AFL_TARGET_ENV="VAR1=1 VAR2='a b c'" afl-fuzz ... `. + This exists mostly for things like `LD_LIBRARY_PATH` but it would theoretically allow fuzzing of AFL++ itself (with 'target' AFL++ using some AFL_ vars that would disrupt work of 'fuzzer' AFL++). + + - `AFL_TESTCACHE_SIZE` allows you to override the size of `#define TESTCASE_CACHE` + in config.h. Recommended values are 50-250MB - or more if your fuzzing + finds a huge amount of paths for large inputs. + + - `AFL_TMPDIR` is used to write the `.cur_input` file to if exists, and in + the normal output directory otherwise. + You would use this to point to a ramdisk/tmpfs. + This increases the speed by a small value but also reduces the stress on SSDs. + + - Setting `AFL_TRY_AFFINITY` tries to attempt binding to a specific CPU core + on Linux systems, but will not terminate if that fails. - Outdated environment variables that are not supported anymore: - `AFL_DEFER_FORKSRV` - `AFL_PERSISTENT` + - `AFL_DEFER_FORKSRV` + - `AFL_PERSISTENT` ## 5) Settings for afl-qemu-trace The QEMU wrapper used to instrument binary-only code supports several settings: - - It is possible to set `AFL_INST_RATIO` to skip the instrumentation on some - of the basic blocks, which can be useful when dealing with very complex - binaries. - - - Setting `AFL_INST_LIBS` causes the translator to also instrument the code - inside any dynamically linked libraries (notably including glibc). - - Setting `AFL_COMPCOV_LEVEL` enables the CompareCoverage tracing of all cmp and sub in x86 and x86_64 and memory comparions functions (e.g. strcmp, memcmp, ...) when libcompcov is preloaded using `AFL_PRELOAD`. @@ -518,74 +479,77 @@ The QEMU wrapper used to instrument binary-only code supports several settings: `AFL_COMPCOV_LEVEL=2` that instruments all the comparions. Level 2 is more accurate but may need a larger shared memory. - - Setting `AFL_QEMU_COMPCOV` enables the CompareCoverage tracing of all - cmp and sub in x86 and x86_64. - This is an alias of `AFL_COMPCOV_LEVEL=1` when `AFL_COMPCOV_LEVEL` is - not specified. - - - The underlying QEMU binary will recognize any standard "user space - emulation" variables (e.g., `QEMU_STACK_SIZE`), but there should be no - reason to touch them. - - `AFL_DEBUG` will print the found entrypoint for the binary to stderr. Use this if you are unsure if the entrypoint might be wrong - but - use it directly, e.g. `afl-qemu-trace ./program` + use it directly, e.g. `afl-qemu-trace ./program`. - `AFL_ENTRYPOINT` allows you to specify a specific entrypoint into the binary (this can be very good for the performance!). The entrypoint is specified as hex address, e.g. `0x4004110` Note that the address must be the address of a basic block. + - Setting `AFL_INST_LIBS` causes the translator to also instrument the code + inside any dynamically linked libraries (notably including glibc). + + - It is possible to set `AFL_INST_RATIO` to skip the instrumentation on some + of the basic blocks, which can be useful when dealing with very complex + binaries. + + - Setting `AFL_QEMU_COMPCOV` enables the CompareCoverage tracing of all + cmp and sub in x86 and x86_64. + This is an alias of `AFL_COMPCOV_LEVEL=1` when `AFL_COMPCOV_LEVEL` is + not specified. + + - With `AFL_QEMU_FORCE_DFL` you force QEMU to ignore the registered signal + handlers of the target. + - When the target is i386/x86_64 you can specify the address of the function that has to be the body of the persistent loop using `AFL_QEMU_PERSISTENT_ADDR=start addr`. + - `AFL_QEMU_PERSISTENT_GPR=1` QEMU will save the original value of general + purpose registers and restore them in each persistent cycle. + - Another modality to execute the persistent loop is to specify also the `AFL_QEMU_PERSISTENT_RET=end addr` env variable. With this variable assigned, instead of patching the return address, the specified instruction is transformed to a jump towards `start addr`. - - `AFL_QEMU_PERSISTENT_GPR=1` QEMU will save the original value of general - purpose registers and restore them in each persistent cycle. - - - With `AFL_QEMU_PERSISTENT_RETADDR_OFFSET` you can specify the offset from the - stack pointer in which QEMU can find the return address when `start addr` is - hit. + - With `AFL_QEMU_PERSISTENT_RETADDR_OFFSET` you can specify the offset from the stack pointer in which QEMU can find the return address when `start addr` is hit. - With `AFL_USE_QASAN` you can enable QEMU AddressSanitizer for dynamically linked binaries. - - With `AFL_QEMU_FORCE_DFL` you force QEMU to ignore the registered signal - handlers of the target. + - The underlying QEMU binary will recognize any standard "user space + emulation" variables (e.g., `QEMU_STACK_SIZE`), but there should be no + reason to touch them. ## 6) Settings for afl-cmin The corpus minimization script offers very little customization: - - Setting `AFL_PATH` offers a way to specify the location of afl-showmap - and afl-qemu-trace (the latter only in `-Q` mode). + - `AFL_ALLOW_TMP` permits this and some other scripts to run in /tmp. + This is a modest security risk on multi-user systems with rogue users, but should be safe on dedicated fuzzing boxes. - `AFL_KEEP_TRACES` makes the tool keep traces and other metadata used for - minimization and normally deleted at exit. The files can be found in the - `/.traces/` directory. + minimization and normally deleted at exit. + The files can be found in the `/.traces/` directory. - - `AFL_ALLOW_TMP` permits this and some other scripts to run in /tmp. This is - a modest security risk on multi-user systems with rogue users, but should - be safe on dedicated fuzzing boxes. + - Setting `AFL_PATH` offers a way to specify the location of afl-showmap + and afl-qemu-trace (the latter only in `-Q` mode). - `AFL_PRINT_FILENAMES` prints each filename to stdout, as it gets processed. This can help when embedding `afl-cmin` or `afl-showmap` in other scripts scripting. ## 7) Settings for afl-tmin -Virtually nothing to play with. Well, in QEMU mode (`-Q`), `AFL_PATH` will be -searched for afl-qemu-trace. In addition to this, `TMPDIR` may be used if a -temporary file can't be created in the current working directory. +Virtually nothing to play with. +Well, in QEMU mode (`-Q`), `AFL_PATH` will be searched for afl-qemu-trace. +In addition to this, `TMPDIR` may be used if a temporary file can't be created in the current working directory. -You can specify `AFL_TMIN_EXACT` if you want afl-tmin to require execution paths -to match when minimizing crashes. This will make minimization less useful, but -may prevent the tool from "jumping" from one crashing condition to another in -very buggy software. You probably want to combine it with the `-e` flag. +You can specify `AFL_TMIN_EXACT` if you want afl-tmin to require execution paths to match when minimizing crashes. +This will make minimization less useful, but may prevent the tool from "jumping" from one crashing condition to another in very buggy software. +You probably want to combine it with the `-e` flag. ## 8) Settings for afl-analyze @@ -596,23 +560,23 @@ of decimal. The library honors these environmental variables: - - `AFL_LD_LIMIT_MB` caps the size of the maximum heap usage permitted by the - library, in megabytes. The default value is 1 GB. Once this is exceeded, - allocations will return NULL. + - `AFL_ALIGNED_ALLOC=1` will force the alignment of the allocation size to + `max_align_t` to be compliant with the C standard. - `AFL_LD_HARD_FAIL` alters the behavior by calling `abort()` on excessive allocations, thus causing what AFL++ would perceive as a crash. Useful for programs that are supposed to maintain a specific memory footprint. - - `AFL_LD_VERBOSE` causes the library to output some diagnostic messages - that may be useful for pinpointing the cause of any observed issues. + - `AFL_LD_LIMIT_MB` caps the size of the maximum heap usage permitted by the + library, in megabytes. The default value is 1 GB. Once this is exceeded, + allocations will return NULL. - `AFL_LD_NO_CALLOC_OVER` inhibits `abort()` on `calloc()` overflows. Most of the common allocators check for that internally and return NULL, so it's a security risk only in more exotic setups. - - `AFL_ALIGNED_ALLOC=1` will force the alignment of the allocation size to - `max_align_t` to be compliant with the C standard. + - `AFL_LD_VERBOSE` causes the library to output some diagnostic messages + that may be useful for pinpointing the cause of any observed issues. ## 10) Settings for libtokencap @@ -630,34 +594,37 @@ optimal values if not already present in the environment: certainly pointless. - By default, `ASAN_OPTIONS` are set to (among others): -``` + + ``` abort_on_error=1 detect_leaks=0 malloc_context_size=0 symbolize=0 allocator_may_return_null=1 -``` - If you want to set your own options, be sure to include `abort_on_error=1` - + ``` + + If you want to set your own options, be sure to include `abort_on_error=1` - otherwise, the fuzzer will not be able to detect crashes in the tested app. Similarly, include `symbolize=0`, since without it, AFL++ may have difficulty telling crashes and hangs apart. - - In the same vein, by default, `MSAN_OPTIONS` are set to: -``` - exit_code=86 (required for legacy reasons) - abort_on_error=1 - symbolize=0 - msan_track_origins=0 - allocator_may_return_null=1 -``` - Similarly, the default `LSAN_OPTIONS` are set to: -``` + + ``` exit_code=23 fast_unwind_on_malloc=0 symbolize=0 print_suppressions=0 -``` - Be sure to include the first ones for LSAN and MSAN when customizing - anything, since some MSAN and LSAN versions don't call `abort()` on - error, and we need a way to detect faults. + ``` + + Be sure to include the first ones for LSAN and MSAN when customizing anything, since some MSAN and LSAN versions don't call `abort()` on error, and we need a way to detect faults. + + - In the same vein, by default, `MSAN_OPTIONS` are set to: + ``` + exit_code=86 (required for legacy reasons) + abort_on_error=1 + symbolize=0 + msan_track_origins=0 + allocator_may_return_null=1 + ``` \ No newline at end of file -- cgit 1.4.1 From bb255fdd790dfa4027f511ae3a8eebbbfd6b42e8 Mon Sep 17 00:00:00 2001 From: llzmb <46303940+llzmb@users.noreply.github.com> Date: Sat, 30 Oct 2021 21:42:21 +0200 Subject: Fix line breaks --- docs/env_variables.md | 547 ++++++++++++++++++++++++++++---------------------- 1 file changed, 302 insertions(+), 245 deletions(-) (limited to 'docs') diff --git a/docs/env_variables.md b/docs/env_variables.md index bd66ce38..6fb687e2 100644 --- a/docs/env_variables.md +++ b/docs/env_variables.md @@ -1,9 +1,13 @@ # Environment variables - This document discusses the environment variables used by AFL++ to expose various exotic functions that may be (rarely) useful for power users or for some types of custom fuzzing setups. - For general information about AFL++, see [README.md](../README.md). + This document discusses the environment variables used by AFL++ to expose + various exotic functions that may be (rarely) useful for power users or for + some types of custom fuzzing setups. For general information about AFL++, see + [README.md](../README.md). - Note: Most tools will warn on any unknown AFL++ environment variables; for example, because of typos. If you want to disable this check, then set the `AFL_IGNORE_UNKNOWN_ENVS` environment variable. + Note: Most tools will warn on any unknown AFL++ environment variables; for + example, because of typos. If you want to disable this check, then set the + `AFL_IGNORE_UNKNOWN_ENVS` environment variable. ## 1) Settings for all compilers @@ -11,19 +15,26 @@ Starting with AFL++ 3.0, there is only one compiler: afl-cc. To select the different instrumentation modes, use one of the following options: - - Pass the --afl-MODE command-line option to the compiler. Only this option accepts further AFL-specific command-line options. - - Use a symlink to afl-cc: afl-clang, afl-clang++, afl-clang-fast, afl-clang-fast++, afl-clang-lto, afl-clang-lto++, afl-gcc, afl-g++, afl-gcc-fast, afl-g++-fast. This option does not accept AFL-specific command-line options. Instead, use environment variables. - - Use the `AFL_CC_COMPILER` environment variable with `MODE`. To select `MODE`, use one of the following values: + - Pass the --afl-MODE command-line option to the compiler. Only this option + accepts further AFL-specific command-line options. + - Use a symlink to afl-cc: afl-clang, afl-clang++, afl-clang-fast, + afl-clang-fast++, afl-clang-lto, afl-clang-lto++, afl-gcc, afl-g++, + afl-gcc-fast, afl-g++-fast. This option does not accept AFL-specific + command-line options. Instead, use environment variables. + - Use the `AFL_CC_COMPILER` environment variable with `MODE`. To select + `MODE`, use one of the following values: - `GCC` (afl-gcc/afl-g++) - `GCC_PLUGIN` (afl-g*-fast) - `LLVM` (afl-clang-fast*) - `LTO` (afl-clang-lto*). -The compile-time tools do not accept AFL-specific command-line options. The --afl-MODE command line option is the only exception. The other options make fairly broad use of environment variables instead: +The compile-time tools do not accept AFL-specific command-line options. The +--afl-MODE command line option is the only exception. The other options make +fairly broad use of environment variables instead: - - Some build/configure scripts break with AFL++ compilers. - To be able to pass them, do: + - Some build/configure scripts break with AFL++ compilers. To be able to pass + them, do: ``` export CC=afl-cc @@ -34,25 +45,24 @@ The compile-time tools do not accept AFL-specific command-line options. The --af make ``` - - If you are a weird person that wants to compile and instrument asm - text files, then use the `AFL_AS_FORCE_INSTRUMENT` variable: + - If you are a weird person that wants to compile and instrument asm text + files, then use the `AFL_AS_FORCE_INSTRUMENT` variable: `AFL_AS_FORCE_INSTRUMENT=1 afl-gcc foo.s -o foo` - Setting `AFL_CC`, `AFL_CXX`, and `AFL_AS` lets you use alternate downstream compilation tools, rather than the default 'clang', 'gcc', or 'as' binaries in your `$PATH`. - - Most AFL tools do not print any output if stdout/stderr are redirected. - If you want to get the output into a file, then set the `AFL_DEBUG` - environment variable. - This is sadly necessary for various build processes which fail otherwise. + - Most AFL tools do not print any output if stdout/stderr are redirected. If + you want to get the output into a file, then set the `AFL_DEBUG` environment + variable. This is sadly necessary for various build processes which fail + otherwise. - By default, the wrapper appends `-O3` to optimize builds. Very rarely, this will cause problems in programs built with -Werror, simply because `-O3` - enables more thorough code analysis and can spew out additional warnings. - To disable optimizations, set `AFL_DONT_OPTIMIZE`. - However, if `-O...` and/or `-fno-unroll-loops` are set, these are not - overridden. + enables more thorough code analysis and can spew out additional warnings. To + disable optimizations, set `AFL_DONT_OPTIMIZE`. However, if `-O...` and/or + `-fno-unroll-loops` are set, these are not overridden. - Setting `AFL_HARDEN` automatically adds code hardening options when invoking the downstream compiler. This currently includes `-D_FORTIFY_SOURCE=2` and @@ -60,9 +70,9 @@ The compile-time tools do not accept AFL-specific command-line options. The --af memory bugs at the expense of a very slight (sub-5%) performance loss. - Setting `AFL_INST_RATIO` to a percentage between 0 and 100 controls the - probability of instrumenting every branch. This is (very rarely) useful - when dealing with exceptionally complex programs that saturate the output - bitmap. Examples include v8, ffmpeg, and perl. + probability of instrumenting every branch. This is (very rarely) useful when + dealing with exceptionally complex programs that saturate the output bitmap. + Examples include v8, ffmpeg, and perl. (If this ever happens, afl-fuzz will warn you ahead of the time by displaying the "bitmap density" field in fiery red.) @@ -70,18 +80,17 @@ The compile-time tools do not accept AFL-specific command-line options. The --af Setting `AFL_INST_RATIO` to 0 is a valid choice. This will instrument only the transitions between function entry points, but not individual branches. - Note that this is an outdated variable. A few instances (e.g. afl-gcc) - still support these, but state-of-the-art (e.g. LLVM LTO and LLVM PCGUARD) - do not need this. + Note that this is an outdated variable. A few instances (e.g. afl-gcc) still + support these, but state-of-the-art (e.g. LLVM LTO and LLVM PCGUARD) do not + need this. - `AFL_NO_BUILTIN` causes the compiler to generate code suitable for use with libtokencap.so (but perhaps running a bit slower than without the flag). - `AFL_PATH` can be used to point afl-gcc to an alternate location of afl-as. - One possible use of this is utils/clang_asm_normalize/, which lets - you instrument hand-written assembly when compiling clang code by plugging - a normalizer into the chain. - (There is no equivalent feature for GCC.) + One possible use of this is utils/clang_asm_normalize/, which lets you + instrument hand-written assembly when compiling clang code by plugging a + normalizer into the chain. (There is no equivalent feature for GCC.) - Setting `AFL_QUIET` will prevent afl-cc and afl-as banners from being displayed during compilation, in case you find them distracting. @@ -95,19 +104,20 @@ The compile-time tools do not accept AFL-specific command-line options. The --af there is the Control Flow Integrity sanitizer that can be activated by `AFL_USE_CFISAN=1`.) - - Setting `AFL_USE_LSAN` automatically enables Leak-Sanitizer, provided - that your compiler supports it. To perform a leak check within your - program at a certain point (such as at the end of an __AFL_LOOP), - you can run the macro __AFL_LEAK_CHECK(); which will cause - an abort if any memory is leaked (you can combine this with the - LSAN_OPTIONS=suppressions option to supress some known leaks). + - Setting `AFL_USE_LSAN` automatically enables Leak-Sanitizer, provided that + your compiler supports it. To perform a leak check within your program at a + certain point (such as at the end of an __AFL_LOOP), you can run the macro + __AFL_LEAK_CHECK(); which will cause an abort if any memory is leaked (you + can combine this with the LSAN_OPTIONS=suppressions option to supress some + known leaks). - `TMPDIR` is used by afl-as for temporary files; if this variable is not set, the tool defaults to /tmp. ## 2) Settings for LLVM and LTO: afl-clang-fast / afl-clang-fast++ / afl-clang-lto / afl-clang-lto++ -The native instrumentation helpers (instrumentation and gcc_plugin) accept a subset of the settings discussed in section 1, with the exception of: +The native instrumentation helpers (instrumentation and gcc_plugin) accept a +subset of the settings discussed in section 1, with the exception of: - LLVM modes support `AFL_LLVM_DICT2FILE=/absolute/path/file.txt` which will write all constant string comparisons to this file to be used later with @@ -118,10 +128,11 @@ The native instrumentation helpers (instrumentation and gcc_plugin) accept a sub - `TMPDIR` and `AFL_KEEP_ASSEMBLY`, since no temporary assembly files are created. - - `AFL_INST_RATIO`, as we use collision free instrumentation by default. - Not all passes support this option though as it is an outdated feature. + - `AFL_INST_RATIO`, as we use collision free instrumentation by default. Not + all passes support this option though as it is an outdated feature. -Then there are a few specific features that are only available in instrumentation mode: +Then there are a few specific features that are only available in +instrumentation mode: ### Select the instrumentation mode @@ -132,7 +143,8 @@ Available options: - CLANG - outdated clang instrumentation - CLASSIC - classic AFL (map[cur_loc ^ prev_loc >> 1]++) (default) - You can also specify CTX and/or NGRAM, seperate the options with a comma "," then, e.g.: `AFL_LLVM_INSTRUMENT=CLASSIC,CTX,NGRAM-4` + You can also specify CTX and/or NGRAM, seperate the options with a comma "," + then, e.g.: `AFL_LLVM_INSTRUMENT=CLASSIC,CTX,NGRAM-4` Note: It is actually not a good idea to use both CTX and NGRAM. :) - CTX - context sensitive instrumentation (see below) @@ -144,97 +156,119 @@ Available options: #### CTX -Setting `AFL_LLVM_CTX` or `AFL_LLVM_INSTRUMENT=CTX` activates context sensitive branch coverage - meaning that each edge is additionally combined with its caller. -It is highly recommended to increase the `MAP_SIZE_POW2` definition in config.h to at least 18 and maybe up to 20 for this as otherwise too many map collisions occur. +Setting `AFL_LLVM_CTX` or `AFL_LLVM_INSTRUMENT=CTX` activates context sensitive +branch coverage - meaning that each edge is additionally combined with its +caller. It is highly recommended to increase the `MAP_SIZE_POW2` definition in +config.h to at least 18 and maybe up to 20 for this as otherwise too many map +collisions occur. -For more information, see [instrumentation/README.ctx.md](../instrumentation/README.ctx.md). +For more information, see +[instrumentation/README.ctx.md](../instrumentation/README.ctx.md). #### LTO -This is a different kind way of instrumentation: first it compiles all code in LTO (link time optimization) and then performs an edge inserting instrumentation which is 100% collision free (collisions are a big issue in AFL and AFL-like instrumentations). -This is performed by using afl-clang-lto/afl-clang-lto++ instead of afl-clang-fast, but is only built if LLVM 11 or newer is used. +This is a different kind way of instrumentation: first it compiles all code in +LTO (link time optimization) and then performs an edge inserting instrumentation +which is 100% collision free (collisions are a big issue in AFL and AFL-like +instrumentations). This is performed by using afl-clang-lto/afl-clang-lto++ +instead of afl-clang-fast, but is only built if LLVM 11 or newer is used. - - `AFL_LLVM_INSTRUMENT=CFG` will use Control Flow Graph instrumentation. - (not recommended for afl-clang-fast, default for afl-clang-lto as there - it is a different and better kind of instrumentation.) + - `AFL_LLVM_INSTRUMENT=CFG` will use Control Flow Graph instrumentation. (not + recommended for afl-clang-fast, default for afl-clang-lto as there it is a + different and better kind of instrumentation.) -None of the following options are necessary to be used and are rather for manual use (which only ever the author of this LTO implementation will use). -These are used if several separated instrumentations are performed which are then later combined. +None of the following options are necessary to be used and are rather for manual +use (which only ever the author of this LTO implementation will use). These are +used if several separated instrumentations are performed which are then later +combined. - `AFL_LLVM_DOCUMENT_IDS=file` will document to a file which edge ID was given - to which function. This helps to identify functions with variable bytes - or which functions were touched by an input. + to which function. This helps to identify functions with variable bytes or + which functions were touched by an input. - `AFL_LLVM_MAP_ADDR` sets the fixed map address to a different address than the default `0x10000`. A value of 0 or empty sets the map address to be dynamic (the original AFL way, which is slower) - `AFL_LLVM_MAP_DYNAMIC` sets the shared memory address to be dynamic - - `AFL_LLVM_LTO_STARTID` sets the starting location ID for the instrumentation. - This defaults to 1 + - `AFL_LLVM_LTO_STARTID` sets the starting location ID for the + instrumentation. This defaults to 1 - `AFL_LLVM_LTO_DONTWRITEID` prevents that the highest location ID written into the instrumentation is set in a global variable - For more information, see [instrumentation/README.lto.md](../instrumentation/README.lto.md). + For more information, see + [instrumentation/README.lto.md](../instrumentation/README.lto.md). #### NGRAM -Setting `AFL_LLVM_NGRAM_SIZE` or `AFL_LLVM_INSTRUMENT=NGRAM-{value}` activates ngram prev_loc coverage, good values are 2, 4 or 8 (any value between 2 and 16 is valid). -It is highly recommended to increase the `MAP_SIZE_POW2` definition in config.h to at least 18 and maybe up to 20 for this as otherwise too many map collisions occur. +Setting `AFL_LLVM_NGRAM_SIZE` or `AFL_LLVM_INSTRUMENT=NGRAM-{value}` activates +ngram prev_loc coverage, good values are 2, 4 or 8 (any value between 2 and 16 +is valid). It is highly recommended to increase the `MAP_SIZE_POW2` definition +in config.h to at least 18 and maybe up to 20 for this as otherwise too many map +collisions occur. -For more information, see [instrumentation/README.ngram.md](../instrumentation/README.ngram.md). +For more information, see +[instrumentation/README.ngram.md](../instrumentation/README.ngram.md). ### LAF-INTEL -This great feature will split compares into series of single byte comparisons to allow afl-fuzz to find otherwise rather impossible paths. -It is not restricted to Intel CPUs. ;-) +This great feature will split compares into series of single byte comparisons to +allow afl-fuzz to find otherwise rather impossible paths. It is not restricted +to Intel CPUs. ;-) - - Setting `AFL_LLVM_LAF_TRANSFORM_COMPARES` will split string compare functions + - Setting `AFL_LLVM_LAF_TRANSFORM_COMPARES` will split string compare + functions - Setting `AFL_LLVM_LAF_SPLIT_SWITCHES` will split all `switch` constructs - - Setting `AFL_LLVM_LAF_SPLIT_COMPARES` will split all floating point and - 64, 32 and 16 bit integer CMP instructions + - Setting `AFL_LLVM_LAF_SPLIT_COMPARES` will split all floating point and 64, + 32 and 16 bit integer CMP instructions - Setting `AFL_LLVM_LAF_SPLIT_FLOATS` will split floating points, needs AFL_LLVM_LAF_SPLIT_COMPARES to be set - Setting `AFL_LLVM_LAF_ALL` sets all of the above -For more information, see [instrumentation/README.laf-intel.md](../instrumentation/README.laf-intel.md). +For more information, see +[instrumentation/README.laf-intel.md](../instrumentation/README.laf-intel.md). ### INSTRUMENT LIST (selectively instrument files and functions) This feature allows selective instrumentation of the source. -Setting `AFL_LLVM_ALLOWLIST` or `AFL_LLVM_DENYLIST` with a filenames and/or function will only instrument (or skip) those files that match the names listed in the specified file. +Setting `AFL_LLVM_ALLOWLIST` or `AFL_LLVM_DENYLIST` with a filenames and/or +function will only instrument (or skip) those files that match the names listed +in the specified file. -For more information, see [instrumentation/README.instrument_list.md](../instrumentation/README.instrument_list.md). +For more information, see +[instrumentation/README.instrument_list.md](../instrumentation/README.instrument_list.md). ### Thread safe instrumentation counters (in all modes) -Setting `AFL_LLVM_THREADSAFE_INST` will inject code that implements thread -safe counters. The overhead is a little bit higher compared to the older -non-thread safe case. Note that this disables neverzero (see below). +Setting `AFL_LLVM_THREADSAFE_INST` will inject code that implements thread safe +counters. The overhead is a little bit higher compared to the older non-thread +safe case. Note that this disables neverzero (see below). ### NOT_ZERO - - Setting `AFL_LLVM_NOT_ZERO=1` during compilation will use counters - that skip zero on overflow. This is the default for llvm >= 9, - however, for llvm versions below that this will increase an unnecessary - slowdown due a performance issue that is only fixed in llvm 9+. - This feature increases path discovery by a little bit. + - Setting `AFL_LLVM_NOT_ZERO=1` during compilation will use counters that skip + zero on overflow. This is the default for llvm >= 9, however, for llvm + versions below that this will increase an unnecessary slowdown due a + performance issue that is only fixed in llvm 9+. This feature increases path + discovery by a little bit. - - Setting `AFL_LLVM_SKIP_NEVERZERO=1` will not implement the skip zero - test. If the target performs only few loops, then this will give a - small performance boost. + - Setting `AFL_LLVM_SKIP_NEVERZERO=1` will not implement the skip zero test. + If the target performs only few loops, then this will give a small + performance boost. -For more information, see [instrumentation/README.neverzero.md](../instrumentation/README.neverzero.md). +For more information, see +[instrumentation/README.neverzero.md](../instrumentation/README.neverzero.md). ### CMPLOG - Setting `AFL_LLVM_CMPLOG=1` during compilation will tell afl-clang-fast to produce a CmpLog binary. -For more information, see [instrumentation/README.cmplog.md](../instrumentation/README.cmplog.md). +For more information, see +[instrumentation/README.cmplog.md](../instrumentation/README.cmplog.md). ## 3) Settings for GCC / GCC_PLUGIN modes @@ -242,14 +276,14 @@ Then there are a few specific features that are only available in GCC and GCC_PLUGIN mode. - Setting `AFL_GCC_INSTRUMENT_FILE` with a filename will only instrument those - files that match the names listed in this file (one filename per line). - See [instrumentation/README.instrument_list.md](../instrumentation/README.instrument_list.md) for more information. - (GCC_PLUGIN mode only) + files that match the names listed in this file (one filename per line). See + [instrumentation/README.instrument_list.md](../instrumentation/README.instrument_list.md) + for more information. (GCC_PLUGIN mode only) - Setting `AFL_KEEP_ASSEMBLY` prevents afl-as from deleting instrumented - assembly files. Useful for troubleshooting problems or understanding how - the tool works. (GCC mode only) - To get them in a predictable place, try something like: + assembly files. Useful for troubleshooting problems or understanding how the + tool works. (GCC mode only) To get them in a predictable place, try + something like: ``` mkdir assembly_here @@ -262,54 +296,52 @@ The main fuzzer binary accepts several options that disable a couple of sanity checks or alter some of the more exotic semantics of the tool: - Setting `AFL_AUTORESUME` will resume a fuzz run (same as providing `-i -`) - for an existing out folder, even if a different `-i` was provided. - Without this setting, afl-fuzz will refuse execution for a long-fuzzed out dir. + for an existing out folder, even if a different `-i` was provided. Without + this setting, afl-fuzz will refuse execution for a long-fuzzed out dir. - Benchmarking only: `AFL_BENCH_JUST_ONE` causes the fuzzer to exit after processing the first queue entry; and `AFL_BENCH_UNTIL_CRASH` causes it to exit soon after the first crash is found. - `AFL_CMPLOG_ONLY_NEW` will only perform the expensive cmplog feature for - newly found testcases and not for testcases that are loaded on startup - (`-i in`). - This is an important feature to set when resuming a fuzzing session. + newly found testcases and not for testcases that are loaded on startup (`-i + in`). This is an important feature to set when resuming a fuzzing session. - - Setting `AFL_CRASH_EXITCODE` sets the exit code AFL treats as crash. - For example, if `AFL_CRASH_EXITCODE='-1'` is set, each input resulting - in an `-1` return code (i.e. `exit(-1)` got called), will be treated - as if a crash had ocurred. - This may be beneficial if you look for higher-level faulty conditions in which your target still exits gracefully. + - Setting `AFL_CRASH_EXITCODE` sets the exit code AFL treats as crash. For + example, if `AFL_CRASH_EXITCODE='-1'` is set, each input resulting in an + `-1` return code (i.e. `exit(-1)` got called), will be treated as if a crash + had ocurred. This may be beneficial if you look for higher-level faulty + conditions in which your target still exits gracefully. - Setting `AFL_CUSTOM_MUTATOR_LIBRARY` to a shared library with - afl_custom_fuzz() creates additional mutations through this library. - If afl-fuzz is compiled with Python (which is autodetected during building + afl_custom_fuzz() creates additional mutations through this library. If + afl-fuzz is compiled with Python (which is autodetected during building afl-fuzz), setting `AFL_PYTHON_MODULE` to a Python module can also provide - additional mutations. - If `AFL_CUSTOM_MUTATOR_ONLY` is also set, all mutations will solely be - performed with the custom mutator. - This feature allows to configure custom mutators which can be very helpful, - e.g. fuzzing XML or other highly flexible structured input. - Please see [custom_mutators.md](custom_mutators.md). + additional mutations. If `AFL_CUSTOM_MUTATOR_ONLY` is also set, all + mutations will solely be performed with the custom mutator. This feature + allows to configure custom mutators which can be very helpful, e.g. fuzzing + XML or other highly flexible structured input. Please see + [custom_mutators.md](custom_mutators.md). - Setting `AFL_CYCLE_SCHEDULES` will switch to a different schedule everytime a cycle is finished. - - Setting `AFL_DEBUG_CHILD` will not suppress the child output. - This lets you see all output of the child, making setup issues obvious. - For example, in an unicornafl harness, you might see python stacktraces. - You may also see other logs that way, indicating why the forkserver won't start. - Not pretty but good for debugging purposes. - Note that `AFL_DEBUG_CHILD_OUTPUT` is deprecated. + - Setting `AFL_DEBUG_CHILD` will not suppress the child output. This lets you + see all output of the child, making setup issues obvious. For example, in an + unicornafl harness, you might see python stacktraces. You may also see other + logs that way, indicating why the forkserver won't start. Not pretty but + good for debugging purposes. Note that `AFL_DEBUG_CHILD_OUTPUT` is + deprecated. - Setting `AFL_DISABLE_TRIM` tells afl-fuzz not to trim test cases. This is usually a bad idea! - - `AFL_EXIT_ON_SEED_ISSUES` will restore the vanilla afl-fuzz behaviour - which does not allow crashes or timeout seeds in the initial -i corpus. + - `AFL_EXIT_ON_SEED_ISSUES` will restore the vanilla afl-fuzz behaviour which + does not allow crashes or timeout seeds in the initial -i corpus. - - `AFL_EXIT_ON_TIME` Causes afl-fuzz to terminate if no new paths were - found within a specified period of time (in seconds). May be convenient - for some types of automated jobs. + - `AFL_EXIT_ON_TIME` Causes afl-fuzz to terminate if no new paths were found + within a specified period of time (in seconds). May be convenient for some + types of automated jobs. - `AFL_EXIT_WHEN_DONE` causes afl-fuzz to terminate when all existing paths have been fuzzed and there were no new finds for a while. This would be @@ -324,20 +356,23 @@ checks or alter some of the more exotic semantics of the tool: precise), which can help when starting a session against a slow target. `AFL_CAL_FAST` works too. - - Setting `AFL_FORCE_UI` will force painting the UI on the screen even if - no valid terminal was detected (for virtual consoles). + - Setting `AFL_FORCE_UI` will force painting the UI on the screen even if no + valid terminal was detected (for virtual consoles). - Setting `AFL_FORKSRV_INIT_TMOUT` allows you to specify a different timeout - to wait for the forkserver to spin up. - The default is the `-t` value times `FORK_WAIT_MULT` from `config.h` (usually 10), so for a `-t 100`, the default would wait for `1000` milliseconds. - Setting a different time here is useful if the target has a very slow startup time, for example when doing full-system fuzzing or emulation, but you don't want the actual runs to wait too long for timeouts. + to wait for the forkserver to spin up. The default is the `-t` value times + `FORK_WAIT_MULT` from `config.h` (usually 10), so for a `-t 100`, the + default would wait for `1000` milliseconds. Setting a different time here is + useful if the target has a very slow startup time, for example when doing + full-system fuzzing or emulation, but you don't want the actual runs to wait + too long for timeouts. - Setting `AFL_HANG_TMOUT` allows you to specify a different timeout for - deciding if a particular test case is a "hang". The default is 1 second - or the value of the `-t` parameter, whichever is larger. Dialing the value - down can be useful if you are very concerned about slow inputs, or if you - don't want AFL++ to spend too much time classifying that stuff and just - rapidly put all timeouts in that bin. + deciding if a particular test case is a "hang". The default is 1 second or + the value of the `-t` parameter, whichever is larger. Dialing the value down + can be useful if you are very concerned about slow inputs, or if you don't + want AFL++ to spend too much time classifying that stuff and just rapidly + put all timeouts in that bin. - If you are Jakub, you may need `AFL_I_DONT_CARE_ABOUT_MISSING_CRASHES`. Others need not apply, unless they also want to disable the @@ -348,28 +383,31 @@ checks or alter some of the more exotic semantics of the tool: set `AFL_IGNORE_PROBLEMS`. - When running in the `-M` or `-S` mode, setting `AFL_IMPORT_FIRST` causes the - fuzzer to import test cases from other instances before doing anything - else. - This makes the "own finds" counter in the UI more accurate. - Beyond counter aesthetics, not much else should change. + fuzzer to import test cases from other instances before doing anything else. + This makes the "own finds" counter in the UI more accurate. Beyond counter + aesthetics, not much else should change. - - `AFL_KILL_SIGNAL`: Set the signal ID to be delivered to child processes on timeout. - Unless you implement your own targets or instrumentation, you likely don't have to set it. - By default, on timeout and on exit, `SIGKILL` (`AFL_KILL_SIGNAL=9`) will be delivered to the child. + - `AFL_KILL_SIGNAL`: Set the signal ID to be delivered to child processes on + timeout. Unless you implement your own targets or instrumentation, you + likely don't have to set it. By default, on timeout and on exit, `SIGKILL` + (`AFL_KILL_SIGNAL=9`) will be delivered to the child. - `AFL_MAP_SIZE` sets the size of the shared map that afl-fuzz, afl-showmap, - afl-tmin and afl-analyze create to gather instrumentation data from - the target. This must be equal or larger than the size the target was - compiled with. - - - Setting `AFL_MAX_DET_EXRAS` will change the threshold at what number of elements in the `-x` dictionary and LTO autodict (combined) the probabilistic mode will kick off. - In probabilistic mode, not all dictionary entries will be used all of the time for fuzzing mutations to not slow down fuzzing. - The default count is `200` elements. - So for the 200 + 1st element, there is a 1 in 201 chance, that one of the dictionary entries will not be used directly. + afl-tmin and afl-analyze create to gather instrumentation data from the + target. This must be equal or larger than the size the target was compiled + with. + + - Setting `AFL_MAX_DET_EXRAS` will change the threshold at what number of + elements in the `-x` dictionary and LTO autodict (combined) the + probabilistic mode will kick off. In probabilistic mode, not all dictionary + entries will be used all of the time for fuzzing mutations to not slow down + fuzzing. The default count is `200` elements. So for the 200 + 1st element, + there is a 1 in 201 chance, that one of the dictionary entries will not be + used directly. - Setting `AFL_NO_AFFINITY` disables attempts to bind to a specific CPU core - on Linux systems. This slows things down, but lets you run more instances - of afl-fuzz than would be prudent (if you really want to). + on Linux systems. This slows things down, but lets you run more instances of + afl-fuzz than would be prudent (if you really want to). - `AFL_NO_ARITH` causes AFL++ to skip most of the deterministic arithmetics. This can be useful to speed up the fuzzing of text-based file formats. @@ -379,85 +417,100 @@ checks or alter some of the more exotic semantics of the tool: - The CPU widget shown at the bottom of the screen is fairly simplistic and may complain of high load prematurely, especially on systems with low core - counts. - To avoid the alarming red color for very high cpu usages, you can set `AFL_NO_CPU_RED`. + counts. To avoid the alarming red color for very high cpu usages, you can + set `AFL_NO_CPU_RED`. - Setting `AFL_NO_COLOR` or `AFL_NO_COLOUR` will omit control sequences for - coloring console output when configured with USE_COLOR and not ALWAYS_COLORED. + coloring console output when configured with USE_COLOR and not + ALWAYS_COLORED. - Setting `AFL_NO_FORKSRV` disables the forkserver optimization, reverting to - fork + execve() call for every tested input. - This is useful mostly when working with unruly libraries that create threads or do other crazy things when initializing (before the instrumentation has a chance to run). + fork + execve() call for every tested input. This is useful mostly when + working with unruly libraries that create threads or do other crazy things + when initializing (before the instrumentation has a chance to run). Note that this setting inhibits some of the user-friendly diagnostics normally done when starting up the forkserver and causes a pretty significant performance drop. - - `AFL_NO_SNAPSHOT` will advice afl-fuzz not to use the snapshot feature - if the snapshot lkm is loaded. + - `AFL_NO_SNAPSHOT` will advice afl-fuzz not to use the snapshot feature if + the snapshot lkm is loaded. - Setting `AFL_NO_UI` inhibits the UI altogether, and just periodically prints - some basic stats. - This behavior is also automatically triggered when the output from afl-fuzz is redirected to a file or to a pipe. - - - In QEMU mode (-Q) and Frida mode (-O), `AFL_PATH` will be searched for afl-qemu-trace and afl-frida-trace.so. - - - If you are using persistent mode (you should, see [instrumentation/README.persistent_mode.md](../instrumentation/README.persistent_mode.md)), some targets keep inherent state due which a detected crash testcase does not crash the target again when the testcase is given. - To be able to still re-trigger these crashes you can use the `AFL_PERSISTENT_RECORD` variable with a value of how many previous fuzz cases to keep prio a crash. - If set to e.g. 10, then the 9 previous inputs are written to out/default/crashes as RECORD:000000,cnt:000000 to RECORD:000000,cnt:000008 and RECORD:000000,cnt:000009 being the crash case. - NOTE: This option needs to be enabled in config.h first! + some basic stats. This behavior is also automatically triggered when the + output from afl-fuzz is redirected to a file or to a pipe. + + - In QEMU mode (-Q) and Frida mode (-O), `AFL_PATH` will be searched for + afl-qemu-trace and afl-frida-trace.so. + + - If you are using persistent mode (you should, see + [instrumentation/README.persistent_mode.md](../instrumentation/README.persistent_mode.md)), + some targets keep inherent state due which a detected crash testcase does + not crash the target again when the testcase is given. To be able to still + re-trigger these crashes you can use the `AFL_PERSISTENT_RECORD` variable + with a value of how many previous fuzz cases to keep prio a crash. If set to + e.g. 10, then the 9 previous inputs are written to out/default/crashes as + RECORD:000000,cnt:000000 to RECORD:000000,cnt:000008 and + RECORD:000000,cnt:000009 being the crash case. NOTE: This option needs to be + enabled in config.h first! - Note that `AFL_POST_LIBRARY` is deprecated, use `AFL_CUSTOM_MUTATOR_LIBRARY` instead (see below). - Setting `AFL_PRELOAD` causes AFL++ to set `LD_PRELOAD` for the target binary - without disrupting the afl-fuzz process itself. - This is useful, among other things, for bootstrapping libdislocator.so. + without disrupting the afl-fuzz process itself. This is useful, among other + things, for bootstrapping libdislocator.so. - In QEMU mode (-Q), setting `AFL_QEMU_CUSTOM_BIN` will cause afl-fuzz to skip - prepending `afl-qemu-trace` to your command line. - Use this if you wish to use a custom afl-qemu-trace or if you need to modify the afl-qemu-trace arguments. + prepending `afl-qemu-trace` to your command line. Use this if you wish to + use a custom afl-qemu-trace or if you need to modify the afl-qemu-trace + arguments. - - `AFL_SHUFFLE_QUEUE` randomly reorders the input queue on startup. - Requested by some users for unorthodox parallelized fuzzing setups, but not - advisable otherwise. + - `AFL_SHUFFLE_QUEUE` randomly reorders the input queue on startup. Requested + by some users for unorthodox parallelized fuzzing setups, but not advisable + otherwise. - When developing custom instrumentation on top of afl-fuzz, you can use - `AFL_SKIP_BIN_CHECK` to inhibit the checks for non-instrumented binaries - and shell scripts; and `AFL_DUMB_FORKSRV` in conjunction with the `-n` - setting to instruct afl-fuzz to still follow the fork server protocol - without expecting any instrumentation data in return. - Note that this also turns off auto map size detection. + `AFL_SKIP_BIN_CHECK` to inhibit the checks for non-instrumented binaries and + shell scripts; and `AFL_DUMB_FORKSRV` in conjunction with the `-n` setting + to instruct afl-fuzz to still follow the fork server protocol without + expecting any instrumentation data in return. Note that this also turns off + auto map size detection. - Setting `AFL_SKIP_CPUFREQ` skips the check for CPU scaling policy. This is - useful if you can't change the defaults (e.g., no root access to the - system) and are OK with some performance loss. - - - Setting `AFL_STATSD` enables StatsD metrics collection. - By default, AFL++ will send these metrics over UDP to 127.0.0.1:8125. - The host and port are configurable with `AFL_STATSD_HOST` and `AFL_STATSD_PORT` respectively. - To enable tags (banner and afl_version), you should provide `AFL_STATSD_TAGS_FLAVOR` that matches your StatsD server (see `AFL_STATSD_TAGS_FLAVOR`). - - - Setting `AFL_STATSD_TAGS_FLAVOR` to one of `dogstatsd`, `librato`, `signalfx` or `influxdb` allows you to add tags to your fuzzing instances. - This is especially useful when running multiple instances (`-M/-S` for example). - Applied tags are `banner` and `afl_version`. - `banner` corresponds to the name of the fuzzer provided through `-M/-S`. - `afl_version` corresponds to the currently running AFL version (e.g. `++3.0c`). - Default (empty/non present) will add no tags to the metrics. - For more information, see [rpc_statsd.md](rpc_statsd.md). - - - Setting `AFL_TARGET_ENV` causes AFL++ to set extra environment variables - for the target binary. Example: `AFL_TARGET_ENV="VAR1=1 VAR2='a b c'" afl-fuzz ... `. - This exists mostly for things like `LD_LIBRARY_PATH` but it would theoretically allow fuzzing of AFL++ itself (with 'target' AFL++ using some AFL_ vars that would disrupt work of 'fuzzer' AFL++). - - - `AFL_TESTCACHE_SIZE` allows you to override the size of `#define TESTCASE_CACHE` - in config.h. Recommended values are 50-250MB - or more if your fuzzing - finds a huge amount of paths for large inputs. - - - `AFL_TMPDIR` is used to write the `.cur_input` file to if exists, and in - the normal output directory otherwise. - You would use this to point to a ramdisk/tmpfs. - This increases the speed by a small value but also reduces the stress on SSDs. + useful if you can't change the defaults (e.g., no root access to the system) + and are OK with some performance loss. + + - Setting `AFL_STATSD` enables StatsD metrics collection. By default, AFL++ + will send these metrics over UDP to 127.0.0.1:8125. The host and port are + configurable with `AFL_STATSD_HOST` and `AFL_STATSD_PORT` respectively. To + enable tags (banner and afl_version), you should provide + `AFL_STATSD_TAGS_FLAVOR` that matches your StatsD server (see + `AFL_STATSD_TAGS_FLAVOR`). + + - Setting `AFL_STATSD_TAGS_FLAVOR` to one of `dogstatsd`, `librato`, + `signalfx` or `influxdb` allows you to add tags to your fuzzing instances. + This is especially useful when running multiple instances (`-M/-S` for + example). Applied tags are `banner` and `afl_version`. `banner` corresponds + to the name of the fuzzer provided through `-M/-S`. `afl_version` + corresponds to the currently running AFL version (e.g. `++3.0c`). Default + (empty/non present) will add no tags to the metrics. For more information, + see [rpc_statsd.md](rpc_statsd.md). + + - Setting `AFL_TARGET_ENV` causes AFL++ to set extra environment variables for + the target binary. Example: `AFL_TARGET_ENV="VAR1=1 VAR2='a b c'" afl-fuzz + ... `. This exists mostly for things like `LD_LIBRARY_PATH` but it would + theoretically allow fuzzing of AFL++ itself (with 'target' AFL++ using some + AFL_ vars that would disrupt work of 'fuzzer' AFL++). + + - `AFL_TESTCACHE_SIZE` allows you to override the size of `#define + TESTCASE_CACHE` in config.h. Recommended values are 50-250MB - or more if + your fuzzing finds a huge amount of paths for large inputs. + + - `AFL_TMPDIR` is used to write the `.cur_input` file to if exists, and in the + normal output directory otherwise. You would use this to point to a + ramdisk/tmpfs. This increases the speed by a small value but also reduces + the stress on SSDs. - Setting `AFL_TRY_AFFINITY` tries to attempt binding to a specific CPU core on Linux systems, but will not terminate if that fails. @@ -472,21 +525,20 @@ The QEMU wrapper used to instrument binary-only code supports several settings: - Setting `AFL_COMPCOV_LEVEL` enables the CompareCoverage tracing of all cmp and sub in x86 and x86_64 and memory comparions functions (e.g. strcmp, - memcmp, ...) when libcompcov is preloaded using `AFL_PRELOAD`. - More info at qemu_mode/libcompcov/README.md. - There are two levels at the moment, `AFL_COMPCOV_LEVEL=1` that instruments - only comparisons with immediate values / read-only memory and - `AFL_COMPCOV_LEVEL=2` that instruments all the comparions. Level 2 is more - accurate but may need a larger shared memory. - - - `AFL_DEBUG` will print the found entrypoint for the binary to stderr. - Use this if you are unsure if the entrypoint might be wrong - but - use it directly, e.g. `afl-qemu-trace ./program`. - - - `AFL_ENTRYPOINT` allows you to specify a specific entrypoint into the - binary (this can be very good for the performance!). - The entrypoint is specified as hex address, e.g. `0x4004110` - Note that the address must be the address of a basic block. + memcmp, ...) when libcompcov is preloaded using `AFL_PRELOAD`. More info at + qemu_mode/libcompcov/README.md. There are two levels at the moment, + `AFL_COMPCOV_LEVEL=1` that instruments only comparisons with immediate + values / read-only memory and `AFL_COMPCOV_LEVEL=2` that instruments all the + comparions. Level 2 is more accurate but may need a larger shared memory. + + - `AFL_DEBUG` will print the found entrypoint for the binary to stderr. Use + this if you are unsure if the entrypoint might be wrong - but use it + directly, e.g. `afl-qemu-trace ./program`. + + - `AFL_ENTRYPOINT` allows you to specify a specific entrypoint into the binary + (this can be very good for the performance!). The entrypoint is specified as + hex address, e.g. `0x4004110` Note that the address must be the address of a + basic block. - Setting `AFL_INST_LIBS` causes the translator to also instrument the code inside any dynamically linked libraries (notably including glibc). @@ -495,10 +547,9 @@ The QEMU wrapper used to instrument binary-only code supports several settings: of the basic blocks, which can be useful when dealing with very complex binaries. - - Setting `AFL_QEMU_COMPCOV` enables the CompareCoverage tracing of all - cmp and sub in x86 and x86_64. - This is an alias of `AFL_COMPCOV_LEVEL=1` when `AFL_COMPCOV_LEVEL` is - not specified. + - Setting `AFL_QEMU_COMPCOV` enables the CompareCoverage tracing of all cmp + and sub in x86 and x86_64. This is an alias of `AFL_COMPCOV_LEVEL=1` when + `AFL_COMPCOV_LEVEL` is not specified. - With `AFL_QEMU_FORCE_DFL` you force QEMU to ignore the registered signal handlers of the target. @@ -511,11 +562,13 @@ The QEMU wrapper used to instrument binary-only code supports several settings: purpose registers and restore them in each persistent cycle. - Another modality to execute the persistent loop is to specify also the - `AFL_QEMU_PERSISTENT_RET=end addr` env variable. - With this variable assigned, instead of patching the return address, the - specified instruction is transformed to a jump towards `start addr`. + `AFL_QEMU_PERSISTENT_RET=end addr` env variable. With this variable + assigned, instead of patching the return address, the specified instruction + is transformed to a jump towards `start addr`. - - With `AFL_QEMU_PERSISTENT_RETADDR_OFFSET` you can specify the offset from the stack pointer in which QEMU can find the return address when `start addr` is hit. + - With `AFL_QEMU_PERSISTENT_RETADDR_OFFSET` you can specify the offset from + the stack pointer in which QEMU can find the return address when `start + addr` is hit. - With `AFL_USE_QASAN` you can enable QEMU AddressSanitizer for dynamically linked binaries. @@ -528,28 +581,31 @@ The QEMU wrapper used to instrument binary-only code supports several settings: The corpus minimization script offers very little customization: - - `AFL_ALLOW_TMP` permits this and some other scripts to run in /tmp. - This is a modest security risk on multi-user systems with rogue users, but should be safe on dedicated fuzzing boxes. + - `AFL_ALLOW_TMP` permits this and some other scripts to run in /tmp. This is + a modest security risk on multi-user systems with rogue users, but should be + safe on dedicated fuzzing boxes. - `AFL_KEEP_TRACES` makes the tool keep traces and other metadata used for - minimization and normally deleted at exit. - The files can be found in the `/.traces/` directory. + minimization and normally deleted at exit. The files can be found in the + `/.traces/` directory. - - Setting `AFL_PATH` offers a way to specify the location of afl-showmap - and afl-qemu-trace (the latter only in `-Q` mode). + - Setting `AFL_PATH` offers a way to specify the location of afl-showmap and + afl-qemu-trace (the latter only in `-Q` mode). - `AFL_PRINT_FILENAMES` prints each filename to stdout, as it gets processed. - This can help when embedding `afl-cmin` or `afl-showmap` in other scripts scripting. + This can help when embedding `afl-cmin` or `afl-showmap` in other scripts + scripting. ## 7) Settings for afl-tmin -Virtually nothing to play with. -Well, in QEMU mode (`-Q`), `AFL_PATH` will be searched for afl-qemu-trace. -In addition to this, `TMPDIR` may be used if a temporary file can't be created in the current working directory. +Virtually nothing to play with. Well, in QEMU mode (`-Q`), `AFL_PATH` will be +searched for afl-qemu-trace. In addition to this, `TMPDIR` may be used if a +temporary file can't be created in the current working directory. -You can specify `AFL_TMIN_EXACT` if you want afl-tmin to require execution paths to match when minimizing crashes. -This will make minimization less useful, but may prevent the tool from "jumping" from one crashing condition to another in very buggy software. -You probably want to combine it with the `-e` flag. +You can specify `AFL_TMIN_EXACT` if you want afl-tmin to require execution paths +to match when minimizing crashes. This will make minimization less useful, but +may prevent the tool from "jumping" from one crashing condition to another in +very buggy software. You probably want to combine it with the `-e` flag. ## 8) Settings for afl-analyze @@ -571,12 +627,12 @@ The library honors these environmental variables: library, in megabytes. The default value is 1 GB. Once this is exceeded, allocations will return NULL. - - `AFL_LD_NO_CALLOC_OVER` inhibits `abort()` on `calloc()` overflows. Most - of the common allocators check for that internally and return NULL, so - it's a security risk only in more exotic setups. + - `AFL_LD_NO_CALLOC_OVER` inhibits `abort()` on `calloc()` overflows. Most of + the common allocators check for that internally and return NULL, so it's a + security risk only in more exotic setups. - - `AFL_LD_VERBOSE` causes the library to output some diagnostic messages - that may be useful for pinpointing the cause of any observed issues. + - `AFL_LD_VERBOSE` causes the library to output some diagnostic messages that + may be useful for pinpointing the cause of any observed issues. ## 10) Settings for libtokencap @@ -588,10 +644,9 @@ discovered tokens should be written. Several variables are not directly interpreted by afl-fuzz, but are set to optimal values if not already present in the environment: - - By default, `LD_BIND_NOW` is set to speed up fuzzing by forcing the - linker to do all the work before the fork server kicks in. You can - override this by setting `LD_BIND_LAZY` beforehand, but it is almost - certainly pointless. + - By default, `LD_BIND_NOW` is set to speed up fuzzing by forcing the linker + to do all the work before the fork server kicks in. You can override this by + setting `LD_BIND_LAZY` beforehand, but it is almost certainly pointless. - By default, `ASAN_OPTIONS` are set to (among others): @@ -604,8 +659,8 @@ optimal values if not already present in the environment: ``` If you want to set your own options, be sure to include `abort_on_error=1` - - otherwise, the fuzzer will not be able to detect crashes in the tested - app. Similarly, include `symbolize=0`, since without it, AFL++ may have + otherwise, the fuzzer will not be able to detect crashes in the tested app. + Similarly, include `symbolize=0`, since without it, AFL++ may have difficulty telling crashes and hangs apart. - Similarly, the default `LSAN_OPTIONS` are set to: @@ -617,7 +672,9 @@ optimal values if not already present in the environment: print_suppressions=0 ``` - Be sure to include the first ones for LSAN and MSAN when customizing anything, since some MSAN and LSAN versions don't call `abort()` on error, and we need a way to detect faults. + Be sure to include the first ones for LSAN and MSAN when customizing + anything, since some MSAN and LSAN versions don't call `abort()` on error, + and we need a way to detect faults. - In the same vein, by default, `MSAN_OPTIONS` are set to: -- cgit 1.4.1 From 651133ea00ae803377f941b95a9d396bf92eb407 Mon Sep 17 00:00:00 2001 From: llzmb <46303940+llzmb@users.noreply.github.com> Date: Wed, 3 Nov 2021 21:11:11 +0100 Subject: Clean up references to power_schedules.md --- docs/parallel_fuzzing.md | 11 +++++------ 1 file changed, 5 insertions(+), 6 deletions(-) (limited to 'docs') diff --git a/docs/parallel_fuzzing.md b/docs/parallel_fuzzing.md index e37276a5..d24f2837 100644 --- a/docs/parallel_fuzzing.md +++ b/docs/parallel_fuzzing.md @@ -27,9 +27,8 @@ will not be able to use that input to guide their work. To help with this problem, afl-fuzz offers a simple way to synchronize test cases on the fly. -Note that AFL++ has AFLfast's power schedules implemented. -It is therefore a good idea to use different power schedules if you run -several instances in parallel. See [power_schedules.md](power_schedules.md) +It is a good idea to use different power schedules if you run several instances +in parallel (`-p` option). Alternatively running other AFL spinoffs in parallel can be of value, e.g. Angora (https://github.com/AngoraFuzzer/Angora/) @@ -39,7 +38,7 @@ e.g. Angora (https://github.com/AngoraFuzzer/Angora/) If you wish to parallelize a single job across multiple cores on a local system, simply create a new, empty output directory ("sync dir") that will be shared by all the instances of afl-fuzz; and then come up with a naming scheme -for every instance - say, "fuzzer01", "fuzzer02", etc. +for every instance - say, "fuzzer01", "fuzzer02", etc. Run the first one ("main node", -M) like this: @@ -93,7 +92,7 @@ file name. There is support for parallelizing the deterministic checks. This is only needed where - + 1. many new paths are found fast over a long time and it looks unlikely that main node will ever catch up, and 2. deterministic fuzzing is actively helping path discovery (you can see this @@ -195,7 +194,7 @@ to keep in mind: - You do not want a "main" instance of afl-fuzz on every system; you should run them all with -S, and just designate a single process somewhere within the fleet to run with -M. - + - Syncing is only necessary for the main nodes on a system. It is possible to run main-less with only secondaries. However then you need to find out which secondary took over the temporary role to be the main node. Look for -- cgit 1.4.1 From 6ce3d7fede6b32b522b6cc4403f7c0101cf4a4bc Mon Sep 17 00:00:00 2001 From: vanhauser-thc Date: Thu, 4 Nov 2021 15:53:17 +0100 Subject: add AFL_USE_TSAN --- TODO.md | 1 + docs/Changelog.md | 2 + docs/fuzzing_expert.md | 2 + frida_mode/src/instrument/instrument.c | 4 +- frida_mode/src/instrument/instrument_arm32.c | 2 + frida_mode/src/instrument/instrument_arm64.c | 1 + frida_mode/src/instrument/instrument_x64.c | 54 ++++++++++++++------------ frida_mode/src/instrument/instrument_x86.c | 1 + frida_mode/src/main.c | 7 ++-- frida_mode/src/prefetch.c | 6 +-- frida_mode/src/seccomp/seccomp_callback.c | 32 ++++++++------- frida_mode/src/seccomp/seccomp_filter.c | 6 +-- include/envs.h | 1 + instrumentation/SanitizerCoverageLTO.so.cc | 3 +- instrumentation/SanitizerCoveragePCGUARD.so.cc | 3 +- instrumentation/afl-llvm-pass.so.cc | 3 +- qemu_mode/libcompcov/libcompcov.so.c | 25 +++++++++--- src/afl-as.c | 1 + src/afl-cc.c | 9 +++++ utils/aflpp_driver/aflpp_qemu_driver.c | 2 +- 20 files changed, 106 insertions(+), 59 deletions(-) (limited to 'docs') diff --git a/TODO.md b/TODO.md index 1d4270b4..30676312 100644 --- a/TODO.md +++ b/TODO.md @@ -2,6 +2,7 @@ ## TODO + - AFL_USE_TSAN to docs/env_variables.md after work over - screen update during input2stage - better autodetection of shifting runtime timeout values - Update afl->pending_not_fuzzed for MOpt diff --git a/docs/Changelog.md b/docs/Changelog.md index 04b2fb2e..cfeb8cc1 100644 --- a/docs/Changelog.md +++ b/docs/Changelog.md @@ -26,7 +26,9 @@ sending a mail to . - Prevent accidently killing non-afl/fuzz services when aborting afl-showmap and other tools. - afl-cc: + - support llvm IR select instrumentation for default PCGUARD and LTO - fix for shared linking on MacOS + - added AFL_USE_TSAN thread sanitizer support - llvm and LTO mode modified to work with new llvm 14-dev (again) - added the very good grammar mutator "GramaTron" to the custom_mutators diff --git a/docs/fuzzing_expert.md b/docs/fuzzing_expert.md index 96193f88..44ebade4 100644 --- a/docs/fuzzing_expert.md +++ b/docs/fuzzing_expert.md @@ -149,6 +149,8 @@ The following sanitizers have built-in support in AFL++: vulnerabilities - which is however one of the most important and dangerous C++ memory corruption classes! Enabled with `export AFL_USE_CFISAN=1` before compiling. + * TSAN = Thread SANitizer, finds thread race conditions. + Enabled with `export AFL_USE_TSAN=1` before compiling. * LSAN = Leak SANitizer, finds memory leaks in a program. This is not really a security issue, but for developers this can be very valuable. Note that unlike the other sanitizers above this needs diff --git a/frida_mode/src/instrument/instrument.c b/frida_mode/src/instrument/instrument.c index 81d85aa1..eeebe545 100644 --- a/frida_mode/src/instrument/instrument.c +++ b/frida_mode/src/instrument/instrument.c @@ -347,8 +347,8 @@ void instrument_init(void) { #else tid = syscall(SYS_gettid); #endif - instrument_hash_seed = g_get_monotonic_time() ^ - (((guint64)getpid()) << 32) ^ tid; + instrument_hash_seed = + g_get_monotonic_time() ^ (((guint64)getpid()) << 32) ^ tid; } diff --git a/frida_mode/src/instrument/instrument_arm32.c b/frida_mode/src/instrument/instrument_arm32.c index 4b0a648e..395d56c1 100644 --- a/frida_mode/src/instrument/instrument_arm32.c +++ b/frida_mode/src/instrument/instrument_arm32.c @@ -23,7 +23,9 @@ void instrument_coverage_optimize(const cs_insn * instr, } void instrument_coverage_optimize_init(void) { + WARNF("Optimized coverage not supported on this architecture"); + } void instrument_flush(GumStalkerOutput *output) { diff --git a/frida_mode/src/instrument/instrument_arm64.c b/frida_mode/src/instrument/instrument_arm64.c index 80d1d845..358e8e6b 100644 --- a/frida_mode/src/instrument/instrument_arm64.c +++ b/frida_mode/src/instrument/instrument_arm64.c @@ -96,6 +96,7 @@ void instrument_coverage_optimize(const cs_insn * instr, } void instrument_coverage_optimize_init(void) { + } void instrument_flush(GumStalkerOutput *output) { diff --git a/frida_mode/src/instrument/instrument_x64.c b/frida_mode/src/instrument/instrument_x64.c index a7eb650a..19ec81b2 100644 --- a/frida_mode/src/instrument/instrument_x64.c +++ b/frida_mode/src/instrument/instrument_x64.c @@ -4,12 +4,12 @@ #include #if defined(__linux__) -#if !defined(__ANDROID__) -#include -#include -#else -#include -#endif + #if !defined(__ANDROID__) + #include + #include + #else + #include + #endif #endif #include "frida-gumjs.h" @@ -22,13 +22,13 @@ #if defined(__x86_64__) -#ifndef MAP_FIXED_NOREPLACE - #ifdef MAP_EXCL - #define MAP_FIXED_NOREPLACE MAP_EXCL | MAP_FIXED - #else - #define MAP_FIXED_NOREPLACE MAP_FIXED + #ifndef MAP_FIXED_NOREPLACE + #ifdef MAP_EXCL + #define MAP_FIXED_NOREPLACE MAP_EXCL | MAP_FIXED + #else + #define MAP_FIXED_NOREPLACE MAP_FIXED + #endif #endif -#endif gboolean instrument_is_coverage_optimize_supported(void) { @@ -53,15 +53,12 @@ typedef struct { // 0x7ffff6cfb08b: pushf // 0x7ffff6cfb08c: push rsi // 0x7ffff6cfb08d: mov rsi,0x228 - // 0x7ffff6cfb094: xchg QWORD PTR [rip+0x3136a5],rsi # 0x7ffff700e740 - // 0x7ffff6cfb09b: xor rsi,0x451 - // 0x7ffff6cfb0a2: add BYTE PTR [rsi+0x10000],0x1 - // 0x7ffff6cfb0a9: adc BYTE PTR [rsi+0x10000],0x0 - // 0x7ffff6cfb0b0: pop rsi - // 0x7ffff6cfb0b1: popf + // 0x7ffff6cfb094: xchg QWORD PTR [rip+0x3136a5],rsi # + // 0x7ffff700e740 0x7ffff6cfb09b: xor rsi,0x451 0x7ffff6cfb0a2: add + // BYTE PTR [rsi+0x10000],0x1 0x7ffff6cfb0a9: adc BYTE PTR + // [rsi+0x10000],0x0 0x7ffff6cfb0b0: pop rsi 0x7ffff6cfb0b1: popf // 0x7ffff6cfb0b2: lea rsp,[rsp+0x80] - uint8_t lea_rsp_rsp_sub_rz[5]; uint8_t push_fq; uint8_t push_rsi; @@ -160,16 +157,25 @@ static void instrument_coverage_optimize_map_mmap(char * shm_file_path, __afl_area_ptr = NULL; -#if !defined(__ANDROID__) + #if !defined(__ANDROID__) shm_fd = shm_open(shm_file_path, O_RDWR, DEFAULT_PERMISSION); if (shm_fd == -1) { FATAL("shm_open() failed\n"); } -#else + #else shm_fd = open("/dev/ashmem", O_RDWR); if (shm_fd == -1) { FATAL("open() failed\n"); } - if (ioctl(shm_fd, ASHMEM_SET_NAME, shm_file_path) == -1) { FATAL("ioctl(ASHMEM_SET_NAME) failed"); } - if (ioctl(shm_fd, ASHMEM_SET_SIZE, __afl_map_size) == -1) { FATAL("ioctl(ASHMEM_SET_SIZE) failed"); } + if (ioctl(shm_fd, ASHMEM_SET_NAME, shm_file_path) == -1) { -#endif + FATAL("ioctl(ASHMEM_SET_NAME) failed"); + + } + + if (ioctl(shm_fd, ASHMEM_SET_SIZE, __afl_map_size) == -1) { + + FATAL("ioctl(ASHMEM_SET_SIZE) failed"); + + } + + #endif __afl_area_ptr = mmap(address, __afl_map_size, PROT_READ | PROT_WRITE, MAP_FIXED_NOREPLACE | MAP_SHARED, shm_fd, 0); diff --git a/frida_mode/src/instrument/instrument_x86.c b/frida_mode/src/instrument/instrument_x86.c index 1ff5c920..f90c01c2 100644 --- a/frida_mode/src/instrument/instrument_x86.c +++ b/frida_mode/src/instrument/instrument_x86.c @@ -84,6 +84,7 @@ void instrument_coverage_optimize(const cs_insn * instr, } void instrument_coverage_optimize_init(void) { + } void instrument_flush(GumStalkerOutput *output) { diff --git a/frida_mode/src/main.c b/frida_mode/src/main.c index c8183d8f..3599143b 100644 --- a/frida_mode/src/main.c +++ b/frida_mode/src/main.c @@ -126,15 +126,16 @@ static void afl_print_cmdline(void) { g_free(fname); g_free(buffer); #elif defined(__APPLE__) - int idx; + int idx; char **argv = *_NSGetArgv(); - int nargv = *_NSGetArgc(); + int nargv = *_NSGetArgc(); - for (idx = 0; idx < nargv; idx ++) { + for (idx = 0; idx < nargv; idx++) { OKF("AFL - COMMANDLINE: argv[%d] = %s", idx, argv[idx]); } + #endif } diff --git a/frida_mode/src/prefetch.c b/frida_mode/src/prefetch.c index c30ca65c..1ddbd5ed 100644 --- a/frida_mode/src/prefetch.c +++ b/frida_mode/src/prefetch.c @@ -44,8 +44,8 @@ static void gum_afl_stalker_backpatcher_notify(GumStalkerObserver *self, sizeof(prefetch_data->backpatch_data) - prefetch_data->backpatch_size; if (sizeof(gsize) + size > remaining) { return; } - gsize *dst_backpatch_size = (gsize *) - &prefetch_data->backpatch_data[prefetch_data->backpatch_size]; + gsize *dst_backpatch_size = + (gsize *)&prefetch_data->backpatch_data[prefetch_data->backpatch_size]; *dst_backpatch_size = size; prefetch_data->backpatch_size += sizeof(gsize); @@ -117,7 +117,7 @@ static void prefetch_read_patches(void) { remaining = prefetch_data->backpatch_size - offset) { gsize *src_backpatch_data = (gsize *)&prefetch_data->backpatch_data[offset]; - gsize size = *src_backpatch_data; + gsize size = *src_backpatch_data; offset += sizeof(gsize); if (prefetch_data->backpatch_size - offset < size) { diff --git a/frida_mode/src/seccomp/seccomp_callback.c b/frida_mode/src/seccomp/seccomp_callback.c index 4232d842..ac0fb8bb 100644 --- a/frida_mode/src/seccomp/seccomp_callback.c +++ b/frida_mode/src/seccomp/seccomp_callback.c @@ -1,8 +1,8 @@ #if defined(__linux__) && !defined(__ANDROID__) -#if !defined(__MUSL__) - #include -#endif + #if !defined(__MUSL__) + #include + #endif #include #include "seccomp.h" @@ -16,12 +16,13 @@ static void seccomp_callback_filter(struct seccomp_notif * req, GumDebugSymbolDetails details = {0}; if (req->data.nr == SYS_OPENAT) { -#if UINTPTR_MAX == 0xffffffffffffffffu + #if UINTPTR_MAX == 0xffffffffffffffffu seccomp_print("SYS_OPENAT: (%s)\n", (char *)req->data.args[1]); -#endif -#if UINTPTR_MAX == 0xffffffff + #endif + #if UINTPTR_MAX == 0xffffffff seccomp_print("SYS_OPENAT: (%s)\n", (char *)(__u32)req->data.args[1]); -#endif + #endif + } seccomp_print( @@ -31,7 +32,7 @@ static void seccomp_callback_filter(struct seccomp_notif * req, req->data.args[0], req->data.args[1], req->data.args[2], req->data.args[3], req->data.args[4], req->data.args[5]); -#if !defined(__MUSL__) + #if !defined(__MUSL__) seccomp_print("FRAMES: (%u)\n", frames->len); char **syms = backtrace_symbols(frames->items, frames->len); if (syms == NULL) { FATAL("Failed to get symbols"); } @@ -52,23 +53,24 @@ static void seccomp_callback_filter(struct seccomp_notif * req, } free(syms); -#else + #else void **syms = (void **)__builtin_frame_address(0); - void *framep = __builtin_frame_address(1); - int i = 0; + void * framep = __builtin_frame_address(1); + int i = 0; syms = framep; while (syms) { - - framep = *syms; + + framep = *syms; syms = framep; if (!syms) break; - seccomp_print("\%3d. %s\n", i ++, (char *)framep); + seccomp_print("\%3d. %s\n", i++, (char *)framep); } -#endif + + #endif resp->error = 0; resp->val = 0; diff --git a/frida_mode/src/seccomp/seccomp_filter.c b/frida_mode/src/seccomp/seccomp_filter.c index 7ee5ead1..0dcc4cbb 100644 --- a/frida_mode/src/seccomp/seccomp_filter.c +++ b/frida_mode/src/seccomp/seccomp_filter.c @@ -2,9 +2,9 @@ #include #include -#if !defined(__MUSL__) - #include -#endif + #if !defined(__MUSL__) + #include + #endif #include #include #include diff --git a/include/envs.h b/include/envs.h index 61267a0d..25d05539 100644 --- a/include/envs.h +++ b/include/envs.h @@ -203,6 +203,7 @@ static char *afl_environment_variables[] = { "AFL_USE_MSAN", "AFL_USE_TRACE_PC", "AFL_USE_UBSAN", + "AFL_USE_TSAN", "AFL_USE_CFISAN", "AFL_USE_LSAN", "AFL_WINE_PATH", diff --git a/instrumentation/SanitizerCoverageLTO.so.cc b/instrumentation/SanitizerCoverageLTO.so.cc index ee8c317e..4e25221a 100644 --- a/instrumentation/SanitizerCoverageLTO.so.cc +++ b/instrumentation/SanitizerCoverageLTO.so.cc @@ -1142,10 +1142,11 @@ bool ModuleSanitizerCoverage::instrumentModule( else { char modeline[100]; - snprintf(modeline, sizeof(modeline), "%s%s%s%s%s", + snprintf(modeline, sizeof(modeline), "%s%s%s%s%s%s", getenv("AFL_HARDEN") ? "hardened" : "non-hardened", getenv("AFL_USE_ASAN") ? ", ASAN" : "", getenv("AFL_USE_MSAN") ? ", MSAN" : "", + getenv("AFL_USE_TSAN") ? ", TSAN" : "", getenv("AFL_USE_CFISAN") ? ", CFISAN" : "", getenv("AFL_USE_UBSAN") ? ", UBSAN" : ""); OKF("Instrumented %u locations (%u selects) without collisions (%llu " diff --git a/instrumentation/SanitizerCoveragePCGUARD.so.cc b/instrumentation/SanitizerCoveragePCGUARD.so.cc index be3f4f49..76bb2448 100644 --- a/instrumentation/SanitizerCoveragePCGUARD.so.cc +++ b/instrumentation/SanitizerCoveragePCGUARD.so.cc @@ -547,10 +547,11 @@ bool ModuleSanitizerCoverage::instrumentModule( else { char modeline[100]; - snprintf(modeline, sizeof(modeline), "%s%s%s%s%s", + snprintf(modeline, sizeof(modeline), "%s%s%s%s%s%s", getenv("AFL_HARDEN") ? "hardened" : "non-hardened", getenv("AFL_USE_ASAN") ? ", ASAN" : "", getenv("AFL_USE_MSAN") ? ", MSAN" : "", + getenv("AFL_USE_TSAN") ? ", TSAN" : "", getenv("AFL_USE_CFISAN") ? ", CFISAN" : "", getenv("AFL_USE_UBSAN") ? ", UBSAN" : ""); OKF("Instrumented %u locations with no collisions (%s mode) of which are " diff --git a/instrumentation/afl-llvm-pass.so.cc b/instrumentation/afl-llvm-pass.so.cc index ecf28f31..9b7e625e 100644 --- a/instrumentation/afl-llvm-pass.so.cc +++ b/instrumentation/afl-llvm-pass.so.cc @@ -956,11 +956,12 @@ bool AFLCoverage::runOnModule(Module &M) { else { char modeline[100]; - snprintf(modeline, sizeof(modeline), "%s%s%s%s%s", + snprintf(modeline, sizeof(modeline), "%s%s%s%s%s%s", getenv("AFL_HARDEN") ? "hardened" : "non-hardened", getenv("AFL_USE_ASAN") ? ", ASAN" : "", getenv("AFL_USE_MSAN") ? ", MSAN" : "", getenv("AFL_USE_CFISAN") ? ", CFISAN" : "", + getenv("AFL_USE_TSAN") ? ", TSAN" : "", getenv("AFL_USE_UBSAN") ? ", UBSAN" : ""); OKF("Instrumented %d locations (%s mode, ratio %u%%).", inst_blocks, modeline, inst_ratio); diff --git a/qemu_mode/libcompcov/libcompcov.so.c b/qemu_mode/libcompcov/libcompcov.so.c index 24867cda..eba3d80a 100644 --- a/qemu_mode/libcompcov/libcompcov.so.c +++ b/qemu_mode/libcompcov/libcompcov.so.c @@ -42,10 +42,10 @@ #endif /* !__linux__ */ #ifndef likely -# define likely(x) __builtin_expect((!!(x)),1) + #define likely(x) __builtin_expect((!!(x)), 1) #endif #ifndef unlikely -# define unlikely(x) __builtin_expect((!!(x)),0) + #define unlikely(x) __builtin_expect((!!(x)), 0) #endif /* Change this value to tune the compare coverage */ @@ -235,7 +235,12 @@ int strcmp(const char *str1, const char *str2) { int strncmp(const char *str1, const char *str2, size_t len) { - if (unlikely(!__libc_strncmp)) { __libc_strncmp = dlsym(RTLD_NEXT, "strncmp"); } + if (unlikely(!__libc_strncmp)) { + + __libc_strncmp = dlsym(RTLD_NEXT, "strncmp"); + + } + void *retaddr = __builtin_return_address(0); if (__compcov_is_in_bound(retaddr) && @@ -265,7 +270,12 @@ int strncmp(const char *str1, const char *str2, size_t len) { int strcasecmp(const char *str1, const char *str2) { - if (unlikely(!__libc_strcasecmp)) { __libc_strncasecmp = dlsym(RTLD_NEXT, "strcasecmp"); } + if (unlikely(!__libc_strcasecmp)) { + + __libc_strncasecmp = dlsym(RTLD_NEXT, "strcasecmp"); + + } + void *retaddr = __builtin_return_address(0); if (__compcov_is_in_bound(retaddr) && @@ -296,7 +306,12 @@ int strcasecmp(const char *str1, const char *str2) { int strncasecmp(const char *str1, const char *str2, size_t len) { - if (unlikely(!__libc_strncasecmp)) { __libc_strncasecmp = dlsym(RTLD_NEXT, "strncasecmp"); } + if (unlikely(!__libc_strncasecmp)) { + + __libc_strncasecmp = dlsym(RTLD_NEXT, "strncasecmp"); + + } + void *retaddr = __builtin_return_address(0); if (__compcov_is_in_bound(retaddr) && diff --git a/src/afl-as.c b/src/afl-as.c index 7119d630..774340ac 100644 --- a/src/afl-as.c +++ b/src/afl-as.c @@ -521,6 +521,7 @@ static void add_instrumentation(void) { getenv("AFL_HARDEN") ? "hardened" : "non-hardened", getenv("AFL_USE_ASAN") ? ", ASAN" : "", getenv("AFL_USE_MSAN") ? ", MSAN" : "", + getenv("AFL_USE_TSAN") ? ", TSAN" : "", getenv("AFL_USE_UBSAN") ? ", UBSAN" : "", getenv("AFL_USE_LSAN") ? ", LSAN" : ""); diff --git a/src/afl-cc.c b/src/afl-cc.c index e7f08aac..3837459b 100644 --- a/src/afl-cc.c +++ b/src/afl-cc.c @@ -857,6 +857,14 @@ static void edit_params(u32 argc, char **argv, char **envp) { cc_params[cc_par_cnt++] = "-fsanitize=undefined"; cc_params[cc_par_cnt++] = "-fsanitize-undefined-trap-on-error"; cc_params[cc_par_cnt++] = "-fno-sanitize-recover=all"; + cc_params[cc_par_cnt++] = "-fno-omit-frame-pointer"; + + } + + if (getenv("AFL_USE_TSAN")) { + + cc_params[cc_par_cnt++] = "-fsanitize=thread"; + cc_params[cc_par_cnt++] = "-fno-omit-frame-pointer"; } @@ -1814,6 +1822,7 @@ int main(int argc, char **argv, char **envp) { " AFL_USE_CFISAN: activate control flow sanitizer\n" " AFL_USE_MSAN: activate memory sanitizer\n" " AFL_USE_UBSAN: activate undefined behaviour sanitizer\n" + " AFL_USE_TSAN: activate thread sanitizer\n" " AFL_USE_LSAN: activate leak-checker sanitizer\n"); if (have_gcc_plugin) diff --git a/utils/aflpp_driver/aflpp_qemu_driver.c b/utils/aflpp_driver/aflpp_qemu_driver.c index 99a4c9a8..e47df1e6 100644 --- a/utils/aflpp_driver/aflpp_qemu_driver.c +++ b/utils/aflpp_driver/aflpp_qemu_driver.c @@ -22,7 +22,7 @@ int main(int argc, char **argv) { if (LLVMFuzzerInitialize) LLVMFuzzerInitialize(&argc, &argv); // Do any other expensive one-time initialization here. - if (getenv("AFL_QEMU_DRIVER_NO_HOOK")) { + if (getenv("AFL_QEMU_DRIVER_NO_HOOK") || getenv("AFL_FRIDA_DRIVER_NO_HOOK")) { afl_qemu_driver_stdin_input(); -- cgit 1.4.1 From 74b4274e35609a22d42fdf0672bc374e39a7c788 Mon Sep 17 00:00:00 2001 From: vanhauser-thc Date: Thu, 4 Nov 2021 16:12:54 +0100 Subject: update for new sanitizer support --- docs/env_variables.md | 31 ++++++++++++++++--------------- 1 file changed, 16 insertions(+), 15 deletions(-) (limited to 'docs') diff --git a/docs/env_variables.md b/docs/env_variables.md index 6fb687e2..5362f713 100644 --- a/docs/env_variables.md +++ b/docs/env_variables.md @@ -95,21 +95,22 @@ fairly broad use of environment variables instead: - Setting `AFL_QUIET` will prevent afl-cc and afl-as banners from being displayed during compilation, in case you find them distracting. - - Setting `AFL_USE_ASAN` automatically enables ASAN, provided that your - compiler supports it. - - (You can also enable MSAN via `AFL_USE_MSAN`; ASAN and MSAN come with the - same gotchas; the modes are mutually exclusive. UBSAN can be enabled - similarly by setting the environment variable `AFL_USE_UBSAN=1`. Finally, - there is the Control Flow Integrity sanitizer that can be activated by - `AFL_USE_CFISAN=1`.) - - - Setting `AFL_USE_LSAN` automatically enables Leak-Sanitizer, provided that - your compiler supports it. To perform a leak check within your program at a - certain point (such as at the end of an __AFL_LOOP), you can run the macro - __AFL_LEAK_CHECK(); which will cause an abort if any memory is leaked (you - can combine this with the LSAN_OPTIONS=suppressions option to supress some - known leaks). + - Setting `AFL_USE_...` automatically enables supported sanitizers - + provided that your compiler supports it. + Available are: + - `AFL_USE_ASAN=1` - activate the address sanitizer (memory corruption + detection) + - `AFL_USE_MSAN=1` - activate the memory sanitizer (uninitialized memory) + - `AFL_USE_UBSAN=1` - activate the undefined behaviour sanitizer + - `AFL_USE_TSAN=1` - activate the thread sanitizer to find thread race + conditions + - `AFL_USE_CFISAN=1` - activate the Control Flow Integrity sanitizer (e.g. + type confusion vulnerabilities) + - `AFL_USE_LSAN` - activates the leak sanitizer. To perform a leak check + within your program at a certain point (such as at the end of an + `__AFL_LOOP()`), you can run the macro `__AFL_LEAK_CHECK();` which will + cause an abort if any memory is leaked (you can combine this with the + `LSAN_OPTIONS=...` suppression option to supress some known leaks). - `TMPDIR` is used by afl-as for temporary files; if this variable is not set, the tool defaults to /tmp. -- cgit 1.4.1 From 9325a4fcbb8eb4ed1d71f93de5301bf1a9a68253 Mon Sep 17 00:00:00 2001 From: vanhauser-thc Date: Sat, 6 Nov 2021 10:28:22 +0100 Subject: http->https --- GNUmakefile | 2 +- GNUmakefile.gcc_plugin | 2 +- GNUmakefile.llvm | 2 +- TODO.md | 1 - afl-cmin.bash | 2 +- afl-plot | 2 +- afl-whatsup | 2 +- docs/Changelog.md | 2 +- docs/INSTALL.md | 2 +- docs/best_practices.md | 2 +- docs/interpreting_output.md | 2 +- docs/known_limitations.md | 2 +- docs/sister_projects.md | 12 ++++++------ docs/technical_details.md | 12 ++++++------ frida_mode/Scripting.md | 2 +- include/afl-as.h | 4 ++-- include/afl-fuzz.h | 2 +- include/afl-prealloc.h | 2 +- include/alloc-inl.h | 2 +- include/cmplog.h | 2 +- include/common.h | 2 +- include/config.h | 2 +- include/debug.h | 2 +- include/forkserver.h | 2 +- include/hash.h | 2 +- include/list.h | 2 +- include/sharedmem.h | 2 +- include/snapshot-inl.h | 2 +- include/types.h | 2 +- instrumentation/README.llvm.md | 2 +- instrumentation/afl-compiler-rt.o.c | 2 +- instrumentation/afl-gcc-pass.so.cc | 2 +- instrumentation/afl-llvm-dict2file.so.cc | 2 +- instrumentation/afl-llvm-lto-instrumentation.so.cc | 2 +- instrumentation/afl-llvm-lto-instrumentlist.so.cc | 2 +- instrumentation/afl-llvm-pass.so.cc | 2 +- instrumentation/afl-llvm-rt-lto.o.c | 2 +- instrumentation/cmplog-instructions-pass.cc | 2 +- instrumentation/cmplog-routines-pass.cc | 2 +- instrumentation/cmplog-switches-pass.cc | 2 +- instrumentation/compare-transform-pass.so.cc | 2 +- instrumentation/split-compares-pass.so.cc | 2 +- instrumentation/split-switches-pass.so.cc | 2 +- qemu_mode/build_qemu_support.sh | 2 +- src/afl-analyze.c | 2 +- src/afl-as.c | 4 ++-- src/afl-cc.c | 2 +- src/afl-common.c | 2 +- src/afl-forkserver.c | 8 ++++---- src/afl-fuzz-bitmap.c | 2 +- src/afl-fuzz-cmplog.c | 2 +- src/afl-fuzz-extras.c | 2 +- src/afl-fuzz-init.c | 4 ++-- src/afl-fuzz-mutators.c | 2 +- src/afl-fuzz-one.c | 2 +- src/afl-fuzz-python.c | 2 +- src/afl-fuzz-queue.c | 2 +- src/afl-fuzz-redqueen.c | 2 +- src/afl-fuzz-run.c | 2 +- src/afl-fuzz-state.c | 2 +- src/afl-fuzz-stats.c | 2 +- src/afl-fuzz.c | 2 +- src/afl-gotcpu.c | 2 +- src/afl-ld-lto.c | 2 +- src/afl-performance.c | 2 +- src/afl-sharedmem.c | 2 +- src/afl-showmap.c | 2 +- src/afl-tmin.c | 2 +- test-instr.c | 2 +- unicorn_mode/build_unicorn_support.sh | 2 +- 70 files changed, 85 insertions(+), 86 deletions(-) (limited to 'docs') diff --git a/GNUmakefile b/GNUmakefile index 0a6f3950..ad2642f3 100644 --- a/GNUmakefile +++ b/GNUmakefile @@ -10,7 +10,7 @@ # you may not use this file except in compliance with the License. # You may obtain a copy of the License at: # -# http://www.apache.org/licenses/LICENSE-2.0 +# https://www.apache.org/licenses/LICENSE-2.0 # # For Heiko: diff --git a/GNUmakefile.gcc_plugin b/GNUmakefile.gcc_plugin index bce97b2f..ed2725d7 100644 --- a/GNUmakefile.gcc_plugin +++ b/GNUmakefile.gcc_plugin @@ -17,7 +17,7 @@ # you may not use this file except in compliance with the License. # You may obtain a copy of the License at: # -# http://www.apache.org/licenses/LICENSE-2.0 +# https://www.apache.org/licenses/LICENSE-2.0 # #TEST_MMAP=1 PREFIX ?= /usr/local diff --git a/GNUmakefile.llvm b/GNUmakefile.llvm index b802ef16..64e5beb2 100644 --- a/GNUmakefile.llvm +++ b/GNUmakefile.llvm @@ -12,7 +12,7 @@ # you may not use this file except in compliance with the License. # You may obtain a copy of the License at: # -# http://www.apache.org/licenses/LICENSE-2.0 +# https://www.apache.org/licenses/LICENSE-2.0 # # For Heiko: diff --git a/TODO.md b/TODO.md index 30676312..1d4270b4 100644 --- a/TODO.md +++ b/TODO.md @@ -2,7 +2,6 @@ ## TODO - - AFL_USE_TSAN to docs/env_variables.md after work over - screen update during input2stage - better autodetection of shifting runtime timeout values - Update afl->pending_not_fuzzed for MOpt diff --git a/afl-cmin.bash b/afl-cmin.bash index c77dfbc1..e25ddc74 100755 --- a/afl-cmin.bash +++ b/afl-cmin.bash @@ -11,7 +11,7 @@ # you may not use this file except in compliance with the License. # You may obtain a copy of the License at: # -# http://www.apache.org/licenses/LICENSE-2.0 +# https://www.apache.org/licenses/LICENSE-2.0 # # This tool tries to find the smallest subset of files in the input directory # that still trigger the full range of instrumentation data points seen in diff --git a/afl-plot b/afl-plot index 87b9caae..1ea1fc55 100755 --- a/afl-plot +++ b/afl-plot @@ -12,7 +12,7 @@ # you may not use this file except in compliance with the License. # You may obtain a copy of the License at: # -# http://www.apache.org/licenses/LICENSE-2.0 +# https://www.apache.org/licenses/LICENSE-2.0 # get_abs_path() { diff --git a/afl-whatsup b/afl-whatsup index 9c2564c6..10a52f83 100755 --- a/afl-whatsup +++ b/afl-whatsup @@ -12,7 +12,7 @@ # you may not use this file except in compliance with the License. # You may obtain a copy of the License at: # -# http://www.apache.org/licenses/LICENSE-2.0 +# https://www.apache.org/licenses/LICENSE-2.0 # # This tool summarizes the status of any locally-running synchronized # instances of afl-fuzz. diff --git a/docs/Changelog.md b/docs/Changelog.md index cfeb8cc1..7c77a6bf 100644 --- a/docs/Changelog.md +++ b/docs/Changelog.md @@ -2760,7 +2760,7 @@ sending a mail to . - Updated the documentation and added notes_for_asan.txt. Based on feedback from Hanno Boeck, Ben Laurie, and others. - - Moved the project to http://lcamtuf.coredump.cx/afl/. + - Moved the project to https://lcamtuf.coredump.cx/afl/. ### Version 0.46b: diff --git a/docs/INSTALL.md b/docs/INSTALL.md index 960de1af..cfa20dea 100644 --- a/docs/INSTALL.md +++ b/docs/INSTALL.md @@ -150,4 +150,4 @@ sysctl kern.sysv.shmseg=48 sysctl kern.sysv.shmall=98304 ``` -See [http://www.spy-hill.com/help/apple/SharedMemory.html](http://www.spy-hill.com/help/apple/SharedMemory.html) for documentation for these settings and how to make them permanent. \ No newline at end of file +See [https://www.spy-hill.com/help/apple/SharedMemory.html](https://www.spy-hill.com/help/apple/SharedMemory.html) for documentation for these settings and how to make them permanent. \ No newline at end of file diff --git a/docs/best_practices.md b/docs/best_practices.md index 0708d49d..5d07dd14 100644 --- a/docs/best_practices.md +++ b/docs/best_practices.md @@ -108,7 +108,7 @@ Four steps are required to do this and it also requires quite some knowledge of Follow this document on how to do this: [instrumentation/README.instrument_list.md](../instrumentation/README.instrument_list.md). If `PCGUARD` is used, then you need to follow this guide (needs llvm 12+!): - [http://clang.llvm.org/docs/SanitizerCoverage.html#partially-disabling-instrumentation](http://clang.llvm.org/docs/SanitizerCoverage.html#partially-disabling-instrumentation) + [https://clang.llvm.org/docs/SanitizerCoverage.html#partially-disabling-instrumentation](https://clang.llvm.org/docs/SanitizerCoverage.html#partially-disabling-instrumentation) Only exclude those functions from instrumentation that provide no value for coverage - that is if it does not process any fuzz data directly or indirectly (e.g. hash maps, thread management etc.). If however a function directly or indirectly handles fuzz data, then you should not put the function in a deny instrumentation list and rather live with the instability it comes with. diff --git a/docs/interpreting_output.md b/docs/interpreting_output.md index 327a0ac0..4bd705f2 100644 --- a/docs/interpreting_output.md +++ b/docs/interpreting_output.md @@ -56,7 +56,7 @@ Any existing output directory can be also used to resume aborted jobs; try: If you have gnuplot installed, you can also generate some pretty graphs for any active fuzzing task using afl-plot. For an example of how this looks like, -see [http://lcamtuf.coredump.cx/afl/plot/](http://lcamtuf.coredump.cx/afl/plot/). +see [https://lcamtuf.coredump.cx/afl/plot/](https://lcamtuf.coredump.cx/afl/plot/). You can also manually build and install afl-plot-ui, which is a helper utility for showing the graphs generated by afl-plot in a graphical window using GTK. diff --git a/docs/known_limitations.md b/docs/known_limitations.md index 2d8f84a5..a68c0a85 100644 --- a/docs/known_limitations.md +++ b/docs/known_limitations.md @@ -31,6 +31,6 @@ Here are some of the most important caveats for AFL: [https://www.fastly.com/blog/how-to-fuzz-server-american-fuzzy-lop](https://www.fastly.com/blog/how-to-fuzz-server-american-fuzzy-lop) - Occasionally, sentient machines rise against their creators. If this - happens to you, please consult [http://lcamtuf.coredump.cx/prep/](http://lcamtuf.coredump.cx/prep/). + happens to you, please consult [https://lcamtuf.coredump.cx/prep/](https://lcamtuf.coredump.cx/prep/). Beyond this, see [INSTALL.md](INSTALL.md) for platform-specific tips. diff --git a/docs/sister_projects.md b/docs/sister_projects.md index 5cb3a102..613bc778 100644 --- a/docs/sister_projects.md +++ b/docs/sister_projects.md @@ -15,7 +15,7 @@ instruction manual. Allows fuzz-testing of Python programs. Uses custom instrumentation and its own forkserver. -http://jwilk.net/software/python-afl +https://jwilk.net/software/python-afl ### Go-fuzz (Dmitry Vyukov) @@ -34,7 +34,7 @@ https://github.com/kmcallister/afl.rs Adds AFL-compatible instrumentation to OCaml programs. https://github.com/ocamllabs/opam-repo-dev/pull/23 -http://canopy.mirage.io/Posts/Fuzzing +https://canopy.mirage.io/Posts/Fuzzing ### AFL for GCJ Java and other GCC frontends (-) @@ -54,7 +54,7 @@ some programs to be fuzzed without the fork / execve overhead. (Similar functionality is now available as the "persistent" feature described in [the llvm_mode readme](../instrumentation/README.llvm.md)) -http://llvm.org/docs/LibFuzzer.html +https://llvm.org/docs/LibFuzzer.html ## TriforceAFL (Tim Newsham and Jesse Hertz) @@ -189,7 +189,7 @@ https://github.com/bshastry/afl-sancov Makes it easy to estimate memory usage limits when fuzzing with ASAN or MSAN. -http://jwilk.net/software/recidivm +https://jwilk.net/software/recidivm ### aflize (Jacek Wielemborek) @@ -274,7 +274,7 @@ https://goo.gl/j9EgFf A simple SQL shell designed specifically for fuzzing the underlying library. -http://www.sqlite.org/src/artifact/9e7e273da2030371 +https://www.sqlite.org/src/artifact/9e7e273da2030371 ### Support for Python mutation modules (Christian Holler) @@ -292,7 +292,7 @@ A similar guided approach as applied to fuzzing syscalls: https://github.com/google/syzkaller/wiki/Found-Bugs https://github.com/dvyukov/linux/commit/33787098ffaaa83b8a7ccf519913ac5fd6125931 -http://events.linuxfoundation.org/sites/events/files/slides/AFL%20filesystem%20fuzzing%2C%20Vault%202016_0.pdf +https://events.linuxfoundation.org/sites/events/files/slides/AFL%20filesystem%20fuzzing%2C%20Vault%202016_0.pdf ### Kernel Snapshot Fuzzing using Unicornafl (Security in Telecommunications) diff --git a/docs/technical_details.md b/docs/technical_details.md index b0ca493e..b9d271d9 100644 --- a/docs/technical_details.md +++ b/docs/technical_details.md @@ -161,8 +161,8 @@ features of the underlying data format, as shown in this image: Several practical examples of the results of this algorithm are discussed here: - http://lcamtuf.blogspot.com/2014/11/pulling-jpegs-out-of-thin-air.html - http://lcamtuf.blogspot.com/2014/11/afl-fuzz-nobody-expects-cdata-sections.html + https://lcamtuf.blogspot.com/2014/11/pulling-jpegs-out-of-thin-air.html + https://lcamtuf.blogspot.com/2014/11/afl-fuzz-nobody-expects-cdata-sections.html The synthetic corpus produced by this process is essentially a compact collection of "hmm, this does something new!" input files, and can be used to @@ -323,7 +323,7 @@ value of various fuzzing strategies and optimize their parameters so that they work equally well across a wide range of file types. The strategies used by afl-fuzz are generally format-agnostic and are discussed in more detail here: - http://lcamtuf.blogspot.com/2014/08/binary-fuzzing-strategies-what-works.html + https://lcamtuf.blogspot.com/2014/08/binary-fuzzing-strategies-what-works.html It is somewhat notable that especially early on, most of the work done by `afl-fuzz` is actually highly deterministic, and progresses to random stacked @@ -376,7 +376,7 @@ valid grammar for the tested parser. A discussion of how these features are implemented within afl-fuzz can be found here: - http://lcamtuf.blogspot.com/2015/01/afl-fuzz-making-up-grammar-with.html + https://lcamtuf.blogspot.com/2015/01/afl-fuzz-making-up-grammar-with.html In essence, when basic, typically easily-obtained syntax tokens are combined together in a purely random manner, the instrumentation and the evolutionary @@ -429,7 +429,7 @@ thrown away. A detailed discussion of the value of this approach can be found here: - http://lcamtuf.blogspot.com/2014/11/afl-fuzz-crash-exploration-mode.html + https://lcamtuf.blogspot.com/2014/11/afl-fuzz-crash-exploration-mode.html The method uses instrumentation feedback to explore the state of the crashing program to get past the ambiguous faulting condition and then isolate the @@ -447,7 +447,7 @@ goes through `execve()`, linking, and libc initialization only once, and is then cloned from a stopped process image by leveraging copy-on-write. The implementation is described in more detail here: - http://lcamtuf.blogspot.com/2014/10/fuzzing-binaries-without-execve.html + https://lcamtuf.blogspot.com/2014/10/fuzzing-binaries-without-execve.html The fork server is an integral aspect of the injected instrumentation and simply stops at the first instrumented function to await commands from diff --git a/frida_mode/Scripting.md b/frida_mode/Scripting.md index f6017fad..691b03d1 100644 --- a/frida_mode/Scripting.md +++ b/frida_mode/Scripting.md @@ -302,7 +302,7 @@ Consider the [following](test/js/test2.c) test code... Licensed under the Apache License, Version 2.0 (the "License"); you may not use this file except in compliance with the License. You may obtain a copy of the License at: - http://www.apache.org/licenses/LICENSE-2.0 + https://www.apache.org/licenses/LICENSE-2.0 */ #include diff --git a/include/afl-as.h b/include/afl-as.h index 3c12c68f..2a2e8ad7 100644 --- a/include/afl-as.h +++ b/include/afl-as.h @@ -16,7 +16,7 @@ you may not use this file except in compliance with the License. You may obtain a copy of the License at: - http://www.apache.org/licenses/LICENSE-2.0 + https://www.apache.org/licenses/LICENSE-2.0 This file houses the assembly-level instrumentation injected into fuzzed programs. The instrumentation stores XORed pairs of data: identifiers of the @@ -396,7 +396,7 @@ static const u8 *main_payload_32 = "\n"; /* The OpenBSD hack is due to lahf and sahf not being recognized by some - versions of binutils: http://marc.info/?l=openbsd-cvs&m=141636589924400 + versions of binutils: https://marc.info/?l=openbsd-cvs&m=141636589924400 The Apple code is a bit different when calling libc functions because they are doing relocations differently from everybody else. We also need diff --git a/include/afl-fuzz.h b/include/afl-fuzz.h index eaf55fb8..e73ea1a4 100644 --- a/include/afl-fuzz.h +++ b/include/afl-fuzz.h @@ -16,7 +16,7 @@ you may not use this file except in compliance with the License. You may obtain a copy of the License at: - http://www.apache.org/licenses/LICENSE-2.0 + https://www.apache.org/licenses/LICENSE-2.0 This is the real deal: the program takes an instrumented binary and attempts a variety of basic fuzzing tricks, paying close attention to diff --git a/include/afl-prealloc.h b/include/afl-prealloc.h index fa6c9b70..87bbb1cc 100644 --- a/include/afl-prealloc.h +++ b/include/afl-prealloc.h @@ -16,7 +16,7 @@ you may not use this file except in compliance with the License. You may obtain a copy of the License at: - http://www.apache.org/licenses/LICENSE-2.0 + https://www.apache.org/licenses/LICENSE-2.0 */ diff --git a/include/alloc-inl.h b/include/alloc-inl.h index c914da5f..0c540330 100644 --- a/include/alloc-inl.h +++ b/include/alloc-inl.h @@ -16,7 +16,7 @@ you may not use this file except in compliance with the License. You may obtain a copy of the License at: - http://www.apache.org/licenses/LICENSE-2.0 + https://www.apache.org/licenses/LICENSE-2.0 This allocator is not designed to resist malicious attackers (the canaries are small and predictable), but provides a robust and portable way to detect diff --git a/include/cmplog.h b/include/cmplog.h index 878ed60c..1c15d2b8 100644 --- a/include/cmplog.h +++ b/include/cmplog.h @@ -18,7 +18,7 @@ you may not use this file except in compliance with the License. You may obtain a copy of the License at: - http://www.apache.org/licenses/LICENSE-2.0 + https://www.apache.org/licenses/LICENSE-2.0 Shared code to handle the shared memory. This is used by the fuzzer as well the other components like afl-tmin, afl-showmap, etc... diff --git a/include/common.h b/include/common.h index 2ca44301..e3997aa4 100644 --- a/include/common.h +++ b/include/common.h @@ -16,7 +16,7 @@ you may not use this file except in compliance with the License. You may obtain a copy of the License at: - http://www.apache.org/licenses/LICENSE-2.0 + https://www.apache.org/licenses/LICENSE-2.0 Gather some functions common to multiple executables diff --git a/include/config.h b/include/config.h index 4630da0c..3aee9b00 100644 --- a/include/config.h +++ b/include/config.h @@ -16,7 +16,7 @@ you may not use this file except in compliance with the License. You may obtain a copy of the License at: - http://www.apache.org/licenses/LICENSE-2.0 + https://www.apache.org/licenses/LICENSE-2.0 */ diff --git a/include/debug.h b/include/debug.h index f8df5711..feb7f52d 100644 --- a/include/debug.h +++ b/include/debug.h @@ -16,7 +16,7 @@ you may not use this file except in compliance with the License. You may obtain a copy of the License at: - http://www.apache.org/licenses/LICENSE-2.0 + https://www.apache.org/licenses/LICENSE-2.0 */ diff --git a/include/forkserver.h b/include/forkserver.h index c6f7de00..7af01cb2 100644 --- a/include/forkserver.h +++ b/include/forkserver.h @@ -18,7 +18,7 @@ you may not use this file except in compliance with the License. You may obtain a copy of the License at: - http://www.apache.org/licenses/LICENSE-2.0 + https://www.apache.org/licenses/LICENSE-2.0 Shared code that implements a forkserver. This is used by the fuzzer as well the other components like afl-tmin. diff --git a/include/hash.h b/include/hash.h index 9319ab95..9bb34ff8 100644 --- a/include/hash.h +++ b/include/hash.h @@ -21,7 +21,7 @@ you may not use this file except in compliance with the License. You may obtain a copy of the License at: - http://www.apache.org/licenses/LICENSE-2.0 + https://www.apache.org/licenses/LICENSE-2.0 */ diff --git a/include/list.h b/include/list.h index 7ec81cbe..d49e56da 100644 --- a/include/list.h +++ b/include/list.h @@ -16,7 +16,7 @@ you may not use this file except in compliance with the License. You may obtain a copy of the License at: - http://www.apache.org/licenses/LICENSE-2.0 + https://www.apache.org/licenses/LICENSE-2.0 This allocator is not designed to resist malicious attackers (the canaries are small and predictable), but provides a robust and portable way to detect diff --git a/include/sharedmem.h b/include/sharedmem.h index fdc947f9..93080d0f 100644 --- a/include/sharedmem.h +++ b/include/sharedmem.h @@ -18,7 +18,7 @@ you may not use this file except in compliance with the License. You may obtain a copy of the License at: - http://www.apache.org/licenses/LICENSE-2.0 + https://www.apache.org/licenses/LICENSE-2.0 Shared code to handle the shared memory. This is used by the fuzzer as well the other components like afl-tmin, afl-showmap, etc... diff --git a/include/snapshot-inl.h b/include/snapshot-inl.h index a18187ef..7234bbaa 100644 --- a/include/snapshot-inl.h +++ b/include/snapshot-inl.h @@ -18,7 +18,7 @@ you may not use this file except in compliance with the License. You may obtain a copy of the License at: - http://www.apache.org/licenses/LICENSE-2.0 + https://www.apache.org/licenses/LICENSE-2.0 */ diff --git a/include/types.h b/include/types.h index 7b94fb83..e945f0f5 100644 --- a/include/types.h +++ b/include/types.h @@ -16,7 +16,7 @@ you may not use this file except in compliance with the License. You may obtain a copy of the License at: - http://www.apache.org/licenses/LICENSE-2.0 + https://www.apache.org/licenses/LICENSE-2.0 */ diff --git a/instrumentation/README.llvm.md b/instrumentation/README.llvm.md index 5b1e60cc..dbb604f2 100644 --- a/instrumentation/README.llvm.md +++ b/instrumentation/README.llvm.md @@ -75,7 +75,7 @@ load modules (you'll see "Service unavailable" when loading afl-llvm-pass.so). To solve all your problems, you can grab pre-built binaries for your OS from: - http://llvm.org/releases/download.html + https://llvm.org/releases/download.html ...and then put the bin/ directory from the tarball at the beginning of your $PATH when compiling the feature and building packages later on. You don't need diff --git a/instrumentation/afl-compiler-rt.o.c b/instrumentation/afl-compiler-rt.o.c index 9acab4e7..b2802a29 100644 --- a/instrumentation/afl-compiler-rt.o.c +++ b/instrumentation/afl-compiler-rt.o.c @@ -9,7 +9,7 @@ you may not use this file except in compliance with the License. You may obtain a copy of the License at: - http://www.apache.org/licenses/LICENSE-2.0 + https://www.apache.org/licenses/LICENSE-2.0 */ diff --git a/instrumentation/afl-gcc-pass.so.cc b/instrumentation/afl-gcc-pass.so.cc index 3b7eb878..df2b6f2a 100644 --- a/instrumentation/afl-gcc-pass.so.cc +++ b/instrumentation/afl-gcc-pass.so.cc @@ -30,7 +30,7 @@ GNU General Public License for more details. You should have received a copy of the GNU General Public License - along with this program. If not, see . + along with this program. If not, see . */ diff --git a/instrumentation/afl-llvm-dict2file.so.cc b/instrumentation/afl-llvm-dict2file.so.cc index 0a3e74b9..7c04c0c5 100644 --- a/instrumentation/afl-llvm-dict2file.so.cc +++ b/instrumentation/afl-llvm-dict2file.so.cc @@ -10,7 +10,7 @@ you may not use this file except in compliance with the License. You may obtain a copy of the License at: - http://www.apache.org/licenses/LICENSE-2.0 + https://www.apache.org/licenses/LICENSE-2.0 This library is plugged into LLVM when invoking clang through afl-clang-lto. diff --git a/instrumentation/afl-llvm-lto-instrumentation.so.cc b/instrumentation/afl-llvm-lto-instrumentation.so.cc index c2f61d34..cd43b437 100644 --- a/instrumentation/afl-llvm-lto-instrumentation.so.cc +++ b/instrumentation/afl-llvm-lto-instrumentation.so.cc @@ -10,7 +10,7 @@ you may not use this file except in compliance with the License. You may obtain a copy of the License at: - http://www.apache.org/licenses/LICENSE-2.0 + https://www.apache.org/licenses/LICENSE-2.0 This library is plugged into LLVM when invoking clang through afl-clang-lto. diff --git a/instrumentation/afl-llvm-lto-instrumentlist.so.cc b/instrumentation/afl-llvm-lto-instrumentlist.so.cc index ee2e5dd3..cf26f912 100644 --- a/instrumentation/afl-llvm-lto-instrumentlist.so.cc +++ b/instrumentation/afl-llvm-lto-instrumentlist.so.cc @@ -15,7 +15,7 @@ you may not use this file except in compliance with the License. You may obtain a copy of the License at: - http://www.apache.org/licenses/LICENSE-2.0 + https://www.apache.org/licenses/LICENSE-2.0 This library is plugged into LLVM when invoking clang through afl-clang-fast. It tells the compiler to add code roughly equivalent to the bits discussed diff --git a/instrumentation/afl-llvm-pass.so.cc b/instrumentation/afl-llvm-pass.so.cc index 9b7e625e..21ce0cf9 100644 --- a/instrumentation/afl-llvm-pass.so.cc +++ b/instrumentation/afl-llvm-pass.so.cc @@ -18,7 +18,7 @@ you may not use this file except in compliance with the License. You may obtain a copy of the License at: - http://www.apache.org/licenses/LICENSE-2.0 + https://www.apache.org/licenses/LICENSE-2.0 This library is plugged into LLVM when invoking clang through afl-clang-fast. It tells the compiler to add code roughly equivalent to the bits discussed diff --git a/instrumentation/afl-llvm-rt-lto.o.c b/instrumentation/afl-llvm-rt-lto.o.c index e53785ff..eb346157 100644 --- a/instrumentation/afl-llvm-rt-lto.o.c +++ b/instrumentation/afl-llvm-rt-lto.o.c @@ -6,7 +6,7 @@ you may not use this file except in compliance with the License. You may obtain a copy of the License at: - http://www.apache.org/licenses/LICENSE-2.0 + https://www.apache.org/licenses/LICENSE-2.0 */ diff --git a/instrumentation/cmplog-instructions-pass.cc b/instrumentation/cmplog-instructions-pass.cc index 01a8a637..80af05f0 100644 --- a/instrumentation/cmplog-instructions-pass.cc +++ b/instrumentation/cmplog-instructions-pass.cc @@ -11,7 +11,7 @@ you may not use this file except in compliance with the License. You may obtain a copy of the License at: - http://www.apache.org/licenses/LICENSE-2.0 + https://www.apache.org/licenses/LICENSE-2.0 */ diff --git a/instrumentation/cmplog-routines-pass.cc b/instrumentation/cmplog-routines-pass.cc index 1e2610f2..01b7a373 100644 --- a/instrumentation/cmplog-routines-pass.cc +++ b/instrumentation/cmplog-routines-pass.cc @@ -11,7 +11,7 @@ you may not use this file except in compliance with the License. You may obtain a copy of the License at: - http://www.apache.org/licenses/LICENSE-2.0 + https://www.apache.org/licenses/LICENSE-2.0 */ diff --git a/instrumentation/cmplog-switches-pass.cc b/instrumentation/cmplog-switches-pass.cc index c42d44fe..aa719013 100644 --- a/instrumentation/cmplog-switches-pass.cc +++ b/instrumentation/cmplog-switches-pass.cc @@ -11,7 +11,7 @@ you may not use this file except in compliance with the License. You may obtain a copy of the License at: - http://www.apache.org/licenses/LICENSE-2.0 + https://www.apache.org/licenses/LICENSE-2.0 */ diff --git a/instrumentation/compare-transform-pass.so.cc b/instrumentation/compare-transform-pass.so.cc index 288e8282..a1239040 100644 --- a/instrumentation/compare-transform-pass.so.cc +++ b/instrumentation/compare-transform-pass.so.cc @@ -5,7 +5,7 @@ * you may not use this file except in compliance with the License. * You may obtain a copy of the License at * - * http://www.apache.org/licenses/LICENSE-2.0 + * https://www.apache.org/licenses/LICENSE-2.0 * * Unless required by applicable law or agreed to in writing, software * distributed under the License is distributed on an "AS IS" BASIS, diff --git a/instrumentation/split-compares-pass.so.cc b/instrumentation/split-compares-pass.so.cc index e63be98c..7c652ca2 100644 --- a/instrumentation/split-compares-pass.so.cc +++ b/instrumentation/split-compares-pass.so.cc @@ -6,7 +6,7 @@ * you may not use this file except in compliance with the License. * You may obtain a copy of the License at * - * http://www.apache.org/licenses/LICENSE-2.0 + * https://www.apache.org/licenses/LICENSE-2.0 * * Unless required by applicable law or agreed to in writing, software * distributed under the License is distributed on an "AS IS" BASIS, diff --git a/instrumentation/split-switches-pass.so.cc b/instrumentation/split-switches-pass.so.cc index 82f198aa..1e32a31d 100644 --- a/instrumentation/split-switches-pass.so.cc +++ b/instrumentation/split-switches-pass.so.cc @@ -5,7 +5,7 @@ * you may not use this file except in compliance with the License. * You may obtain a copy of the License at * - * http://www.apache.org/licenses/LICENSE-2.0 + * https://www.apache.org/licenses/LICENSE-2.0 * * Unless required by applicable law or agreed to in writing, software * distributed under the License is distributed on an "AS IS" BASIS, diff --git a/qemu_mode/build_qemu_support.sh b/qemu_mode/build_qemu_support.sh index 84f144be..71453a71 100755 --- a/qemu_mode/build_qemu_support.sh +++ b/qemu_mode/build_qemu_support.sh @@ -19,7 +19,7 @@ # you may not use this file except in compliance with the License. # You may obtain a copy of the License at: # -# http://www.apache.org/licenses/LICENSE-2.0 +# https://www.apache.org/licenses/LICENSE-2.0 # # This script downloads, patches, and builds a version of QEMU with # minor tweaks to allow non-instrumented binaries to be run under diff --git a/src/afl-analyze.c b/src/afl-analyze.c index 09b01541..60cb1434 100644 --- a/src/afl-analyze.c +++ b/src/afl-analyze.c @@ -15,7 +15,7 @@ you may not use this file except in compliance with the License. You may obtain a copy of the License at: - http://www.apache.org/licenses/LICENSE-2.0 + https://www.apache.org/licenses/LICENSE-2.0 A nifty utility that grabs an input file and takes a stab at explaining its structure by observing how changes to it affect the execution path. diff --git a/src/afl-as.c b/src/afl-as.c index 9af272f2..b644b82a 100644 --- a/src/afl-as.c +++ b/src/afl-as.c @@ -15,7 +15,7 @@ you may not use this file except in compliance with the License. You may obtain a copy of the License at: - http://www.apache.org/licenses/LICENSE-2.0 + https://www.apache.org/licenses/LICENSE-2.0 The sole purpose of this wrapper is to preprocess assembly files generated by GCC / clang and inject the instrumentation bits included from afl-as.h. It @@ -101,7 +101,7 @@ static void edit_params(int argc, char **argv) { /* On MacOS X, the Xcode cctool 'as' driver is a bit stale and does not work with the code generated by newer versions of clang that are hand-built - by the user. See the thread here: http://goo.gl/HBWDtn. + by the user. See the thread here: https://goo.gl/HBWDtn. To work around this, when using clang and running without AFL_AS specified, we will actually call 'clang -c' instead of 'as -q' to diff --git a/src/afl-cc.c b/src/afl-cc.c index 5f77b097..8ff241ba 100644 --- a/src/afl-cc.c +++ b/src/afl-cc.c @@ -11,7 +11,7 @@ you may not use this file except in compliance with the License. You may obtain a copy of the License at: - http://www.apache.org/licenses/LICENSE-2.0 + https://www.apache.org/licenses/LICENSE-2.0 */ diff --git a/src/afl-common.c b/src/afl-common.c index 26a0d54b..ec3b2f3f 100644 --- a/src/afl-common.c +++ b/src/afl-common.c @@ -15,7 +15,7 @@ you may not use this file except in compliance with the License. You may obtain a copy of the License at: - http://www.apache.org/licenses/LICENSE-2.0 + https://www.apache.org/licenses/LICENSE-2.0 Gather some functions common to multiple executables diff --git a/src/afl-forkserver.c b/src/afl-forkserver.c index 80b295e0..b1769bfb 100644 --- a/src/afl-forkserver.c +++ b/src/afl-forkserver.c @@ -19,7 +19,7 @@ you may not use this file except in compliance with the License. You may obtain a copy of the License at: - http://www.apache.org/licenses/LICENSE-2.0 + https://www.apache.org/licenses/LICENSE-2.0 Shared code that implements a forkserver. This is used by the fuzzer as well the other components like afl-tmin. @@ -351,7 +351,7 @@ static void report_error_and_exit(int error) { /* Spins up fork server. The idea is explained here: - http://lcamtuf.blogspot.com/2014/10/fuzzing-binaries-without-execve.html + https://lcamtuf.blogspot.com/2014/10/fuzzing-binaries-without-execve.html In essence, the instrumentation allows us to skip execve(), and just keep cloning a stopped child. So, we just execute once, and then send commands @@ -917,7 +917,7 @@ void afl_fsrv_start(afl_forkserver_t *fsrv, char **argv, MSG_ULIMIT_USAGE " /path/to/fuzzed_app )\n\n" - " Tip: you can use http://jwilk.net/software/recidivm to " + " Tip: you can use https://jwilk.net/software/recidivm to " "quickly\n" " estimate the required amount of virtual memory for the " "binary.\n\n" @@ -1017,7 +1017,7 @@ void afl_fsrv_start(afl_forkserver_t *fsrv, char **argv, MSG_ULIMIT_USAGE " /path/to/fuzzed_app )\n\n" - " Tip: you can use http://jwilk.net/software/recidivm to quickly\n" + " Tip: you can use https://jwilk.net/software/recidivm to quickly\n" " estimate the required amount of virtual memory for the " "binary.\n\n" diff --git a/src/afl-fuzz-bitmap.c b/src/afl-fuzz-bitmap.c index 316067e4..f7b59f25 100644 --- a/src/afl-fuzz-bitmap.c +++ b/src/afl-fuzz-bitmap.c @@ -15,7 +15,7 @@ you may not use this file except in compliance with the License. You may obtain a copy of the License at: - http://www.apache.org/licenses/LICENSE-2.0 + https://www.apache.org/licenses/LICENSE-2.0 This is the real deal: the program takes an instrumented binary and attempts a variety of basic fuzzing tricks, paying close attention to diff --git a/src/afl-fuzz-cmplog.c b/src/afl-fuzz-cmplog.c index c2e9c80f..6fc926f0 100644 --- a/src/afl-fuzz-cmplog.c +++ b/src/afl-fuzz-cmplog.c @@ -17,7 +17,7 @@ you may not use this file except in compliance with the License. You may obtain a copy of the License at: - http://www.apache.org/licenses/LICENSE-2.0 + https://www.apache.org/licenses/LICENSE-2.0 Shared code to handle the shared memory. This is used by the fuzzer as well the other components like afl-tmin, afl-showmap, etc... diff --git a/src/afl-fuzz-extras.c b/src/afl-fuzz-extras.c index 584241d4..0f0fe331 100644 --- a/src/afl-fuzz-extras.c +++ b/src/afl-fuzz-extras.c @@ -15,7 +15,7 @@ you may not use this file except in compliance with the License. You may obtain a copy of the License at: - http://www.apache.org/licenses/LICENSE-2.0 + https://www.apache.org/licenses/LICENSE-2.0 This is the real deal: the program takes an instrumented binary and attempts a variety of basic fuzzing tricks, paying close attention to diff --git a/src/afl-fuzz-init.c b/src/afl-fuzz-init.c index 1170715f..9262d718 100644 --- a/src/afl-fuzz-init.c +++ b/src/afl-fuzz-init.c @@ -15,7 +15,7 @@ you may not use this file except in compliance with the License. You may obtain a copy of the License at: - http://www.apache.org/licenses/LICENSE-2.0 + https://www.apache.org/licenses/LICENSE-2.0 This is the real deal: the program takes an instrumented binary and attempts a variety of basic fuzzing tricks, paying close attention to @@ -974,7 +974,7 @@ void perform_dry_run(afl_state_t *afl) { MSG_ULIMIT_USAGE " /path/to/binary [...] . + See . This is xoshiro256++ 1.0, one of our all-purpose, rock-solid generators. It has excellent (sub-ns) speed, a state (256 bits) that is large diff --git a/src/afl-sharedmem.c b/src/afl-sharedmem.c index 22fe5a62..7fb8f821 100644 --- a/src/afl-sharedmem.c +++ b/src/afl-sharedmem.c @@ -17,7 +17,7 @@ you may not use this file except in compliance with the License. You may obtain a copy of the License at: - http://www.apache.org/licenses/LICENSE-2.0 + https://www.apache.org/licenses/LICENSE-2.0 Shared code to handle the shared memory. This is used by the fuzzer as well the other components like afl-tmin, afl-showmap, etc... diff --git a/src/afl-showmap.c b/src/afl-showmap.c index 3826e385..23ec0df0 100644 --- a/src/afl-showmap.c +++ b/src/afl-showmap.c @@ -18,7 +18,7 @@ you may not use this file except in compliance with the License. You may obtain a copy of the License at: - http://www.apache.org/licenses/LICENSE-2.0 + https://www.apache.org/licenses/LICENSE-2.0 A very simple tool that runs the targeted binary and displays the contents of the trace bitmap in a human-readable form. Useful in diff --git a/src/afl-tmin.c b/src/afl-tmin.c index ce2a0b8f..8ce4bdd5 100644 --- a/src/afl-tmin.c +++ b/src/afl-tmin.c @@ -18,7 +18,7 @@ you may not use this file except in compliance with the License. You may obtain a copy of the License at: - http://www.apache.org/licenses/LICENSE-2.0 + https://www.apache.org/licenses/LICENSE-2.0 A simple test case minimizer that takes an input file and tries to remove as much data as possible while keeping the binary in a crashing state diff --git a/test-instr.c b/test-instr.c index 13d4eb93..eaae50ef 100644 --- a/test-instr.c +++ b/test-instr.c @@ -7,7 +7,7 @@ Licensed under the Apache License, Version 2.0 (the "License"); you may not use this file except in compliance with the License. You may obtain a copy of the License at: - http://www.apache.org/licenses/LICENSE-2.0 + https://www.apache.org/licenses/LICENSE-2.0 */ #include diff --git a/unicorn_mode/build_unicorn_support.sh b/unicorn_mode/build_unicorn_support.sh index 6c376f8d..f9c0be7f 100755 --- a/unicorn_mode/build_unicorn_support.sh +++ b/unicorn_mode/build_unicorn_support.sh @@ -20,7 +20,7 @@ # you may not use this file except in compliance with the License. # You may obtain a copy of the License at: # -# http://www.apache.org/licenses/LICENSE-2.0 +# https://www.apache.org/licenses/LICENSE-2.0 # # This script downloads, patches, and builds a version of Unicorn with # minor tweaks to allow Unicorn-emulated binaries to be run under -- cgit 1.4.1 From da45eb6b417832de16cc2cf6c4b65e0e2f7311db Mon Sep 17 00:00:00 2001 From: vanhauser-thc Date: Sat, 6 Nov 2021 15:02:13 +0100 Subject: update changelog --- docs/Changelog.md | 2 ++ 1 file changed, 2 insertions(+) (limited to 'docs') diff --git a/docs/Changelog.md b/docs/Changelog.md index 04b2fb2e..7b70771d 100644 --- a/docs/Changelog.md +++ b/docs/Changelog.md @@ -18,6 +18,8 @@ sending a mail to . - fix -n dumb mode (nobody should use this) - fix stability issue with LTO and cmplog - better banner + - more effective cmplog mode + - more often update the UI when in input2stage mode - frida_mode: David Carlier added Android support :) - afl-showmap, afl-tmin and afl-analyze: - honor persistent mode for more speed. thanks to dloffre-snl for -- cgit 1.4.1 From 72878cc14b7697024b6387b4c09dff786763d0a1 Mon Sep 17 00:00:00 2001 From: llzmb <46303940+llzmb@users.noreply.github.com> Date: Sat, 6 Nov 2021 22:09:54 +0100 Subject: Edit list of environment variables --- docs/env_variables.md | 201 +++++++++++++++++++++++++------------------------- 1 file changed, 102 insertions(+), 99 deletions(-) (limited to 'docs') diff --git a/docs/env_variables.md b/docs/env_variables.md index 5362f713..5724b197 100644 --- a/docs/env_variables.md +++ b/docs/env_variables.md @@ -18,9 +18,9 @@ To select the different instrumentation modes, use one of the following options: - Pass the --afl-MODE command-line option to the compiler. Only this option accepts further AFL-specific command-line options. - Use a symlink to afl-cc: afl-clang, afl-clang++, afl-clang-fast, - afl-clang-fast++, afl-clang-lto, afl-clang-lto++, afl-gcc, afl-g++, - afl-gcc-fast, afl-g++-fast. This option does not accept AFL-specific - command-line options. Instead, use environment variables. + afl-clang-fast++, afl-clang-lto, afl-clang-lto++, afl-g++, afl-g++-fast, + afl-gcc, afl-gcc-fast. This option does not accept AFL-specific command-line + options. Instead, use environment variables. - Use the `AFL_CC_COMPILER` environment variable with `MODE`. To select `MODE`, use one of the following values: @@ -45,14 +45,14 @@ fairly broad use of environment variables instead: make ``` + - Setting `AFL_AS`, `AFL_CC`, and `AFL_CXX` lets you use alternate downstream + compilation tools, rather than the default 'as', 'clang', or 'gcc' binaries + in your `$PATH`. + - If you are a weird person that wants to compile and instrument asm text files, then use the `AFL_AS_FORCE_INSTRUMENT` variable: `AFL_AS_FORCE_INSTRUMENT=1 afl-gcc foo.s -o foo` - - Setting `AFL_CC`, `AFL_CXX`, and `AFL_AS` lets you use alternate downstream - compilation tools, rather than the default 'clang', 'gcc', or 'as' binaries - in your `$PATH`. - - Most AFL tools do not print any output if stdout/stderr are redirected. If you want to get the output into a file, then set the `AFL_DEBUG` environment variable. This is sadly necessary for various build processes which fail @@ -72,7 +72,7 @@ fairly broad use of environment variables instead: - Setting `AFL_INST_RATIO` to a percentage between 0 and 100 controls the probability of instrumenting every branch. This is (very rarely) useful when dealing with exceptionally complex programs that saturate the output bitmap. - Examples include v8, ffmpeg, and perl. + Examples include ffmpeg, perl, and v8. (If this ever happens, afl-fuzz will warn you ahead of the time by displaying the "bitmap density" field in fiery red.) @@ -92,25 +92,24 @@ fairly broad use of environment variables instead: instrument hand-written assembly when compiling clang code by plugging a normalizer into the chain. (There is no equivalent feature for GCC.) - - Setting `AFL_QUIET` will prevent afl-cc and afl-as banners from being + - Setting `AFL_QUIET` will prevent afl-as and afl-cc banners from being displayed during compilation, in case you find them distracting. - - Setting `AFL_USE_...` automatically enables supported sanitizers - - provided that your compiler supports it. - Available are: - - `AFL_USE_ASAN=1` - activate the address sanitizer (memory corruption + - Setting `AFL_USE_...` automatically enables supported sanitizers - provided + that your compiler supports it. Available are: + - `AFL_USE_ASAN=1` - activates the address sanitizer (memory corruption detection) - - `AFL_USE_MSAN=1` - activate the memory sanitizer (uninitialized memory) - - `AFL_USE_UBSAN=1` - activate the undefined behaviour sanitizer - - `AFL_USE_TSAN=1` - activate the thread sanitizer to find thread race - conditions - - `AFL_USE_CFISAN=1` - activate the Control Flow Integrity sanitizer (e.g. + - `AFL_USE_CFISAN=1` - activates the Control Flow Integrity sanitizer (e.g. type confusion vulnerabilities) - `AFL_USE_LSAN` - activates the leak sanitizer. To perform a leak check within your program at a certain point (such as at the end of an `__AFL_LOOP()`), you can run the macro `__AFL_LEAK_CHECK();` which will cause an abort if any memory is leaked (you can combine this with the - `LSAN_OPTIONS=...` suppression option to supress some known leaks). + `LSAN_OPTIONS=...` suppression option to suppress some known leaks). + - `AFL_USE_MSAN=1` - activates the memory sanitizer (uninitialized memory) + - `AFL_USE_TSAN=1` - activates the thread sanitizer to find thread race + conditions + - `AFL_USE_UBSAN=1` - activates the undefined behaviour sanitizer - `TMPDIR` is used by afl-as for temporary files; if this variable is not set, the tool defaults to /tmp. @@ -120,18 +119,18 @@ fairly broad use of environment variables instead: The native instrumentation helpers (instrumentation and gcc_plugin) accept a subset of the settings discussed in section 1, with the exception of: + - `AFL_AS`, since this toolchain does not directly invoke GNU `as`. + + - `AFL_INST_RATIO`, as we use collision free instrumentation by default. Not + all passes support this option though as it is an outdated feature. + - LLVM modes support `AFL_LLVM_DICT2FILE=/absolute/path/file.txt` which will - write all constant string comparisons to this file to be used later with + write all constant string comparisons to this file to be used later with afl-fuzz' `-x` option. - - `AFL_AS`, since this toolchain does not directly invoke GNU as. - - `TMPDIR` and `AFL_KEEP_ASSEMBLY`, since no temporary assembly files are created. - - `AFL_INST_RATIO`, as we use collision free instrumentation by default. Not - all passes support this option though as it is an outdated feature. - Then there are a few specific features that are only available in instrumentation mode: @@ -148,13 +147,21 @@ Available options: then, e.g.: `AFL_LLVM_INSTRUMENT=CLASSIC,CTX,NGRAM-4` Note: It is actually not a good idea to use both CTX and NGRAM. :) - - CTX - context sensitive instrumentation (see below) + - CTX - context sensitive instrumentation - GCC - outdated gcc instrumentation - - LTO - LTO instrumentation (see below) + - LTO - LTO instrumentation - NATIVE - clang's original pcguard based instrumentation - NGRAM-x - deeper previous location coverage (from NGRAM-2 up to NGRAM-16) - PCGUARD - our own pcgard based instrumentation (default) +#### CMPLOG + +Setting `AFL_LLVM_CMPLOG=1` during compilation will tell afl-clang-fast to +produce a CmpLog binary. + +For more information, see +[instrumentation/README.cmplog.md](../instrumentation/README.cmplog.md). + #### CTX Setting `AFL_LLVM_CTX` or `AFL_LLVM_INSTRUMENT=CTX` activates context sensitive @@ -166,6 +173,39 @@ collisions occur. For more information, see [instrumentation/README.ctx.md](../instrumentation/README.ctx.md). +#### INSTRUMENT LIST (selectively instrument files and functions) + +This feature allows selective instrumentation of the source. + +Setting `AFL_LLVM_ALLOWLIST` or `AFL_LLVM_DENYLIST` with a filenames and/or +function will only instrument (or skip) those files that match the names listed +in the specified file. + +For more information, see +[instrumentation/README.instrument_list.md](../instrumentation/README.instrument_list.md). + +#### LAF-INTEL + +This great feature will split compares into series of single byte comparisons to +allow afl-fuzz to find otherwise rather impossible paths. It is not restricted +to Intel CPUs. ;-) + + - Setting `AFL_LLVM_LAF_TRANSFORM_COMPARES` will split string compare + functions + + - Setting `AFL_LLVM_LAF_SPLIT_SWITCHES` will split all `switch` constructs + + - Setting `AFL_LLVM_LAF_SPLIT_COMPARES` will split all floating point and 64, + 32 and 16 bit integer CMP instructions + + - Setting `AFL_LLVM_LAF_SPLIT_FLOATS` will split floating points, needs + AFL_LLVM_LAF_SPLIT_COMPARES to be set + + - Setting `AFL_LLVM_LAF_ALL` sets all of the above + +For more information, see +[instrumentation/README.laf-intel.md](../instrumentation/README.laf-intel.md). + #### LTO This is a different kind way of instrumentation: first it compiles all code in @@ -209,46 +249,7 @@ collisions occur. For more information, see [instrumentation/README.ngram.md](../instrumentation/README.ngram.md). -### LAF-INTEL - -This great feature will split compares into series of single byte comparisons to -allow afl-fuzz to find otherwise rather impossible paths. It is not restricted -to Intel CPUs. ;-) - - - Setting `AFL_LLVM_LAF_TRANSFORM_COMPARES` will split string compare - functions - - - Setting `AFL_LLVM_LAF_SPLIT_SWITCHES` will split all `switch` constructs - - - Setting `AFL_LLVM_LAF_SPLIT_COMPARES` will split all floating point and 64, - 32 and 16 bit integer CMP instructions - - - Setting `AFL_LLVM_LAF_SPLIT_FLOATS` will split floating points, needs - AFL_LLVM_LAF_SPLIT_COMPARES to be set - - - Setting `AFL_LLVM_LAF_ALL` sets all of the above - -For more information, see -[instrumentation/README.laf-intel.md](../instrumentation/README.laf-intel.md). - -### INSTRUMENT LIST (selectively instrument files and functions) - -This feature allows selective instrumentation of the source. - -Setting `AFL_LLVM_ALLOWLIST` or `AFL_LLVM_DENYLIST` with a filenames and/or -function will only instrument (or skip) those files that match the names listed -in the specified file. - -For more information, see -[instrumentation/README.instrument_list.md](../instrumentation/README.instrument_list.md). - -### Thread safe instrumentation counters (in all modes) - -Setting `AFL_LLVM_THREADSAFE_INST` will inject code that implements thread safe -counters. The overhead is a little bit higher compared to the older non-thread -safe case. Note that this disables neverzero (see below). - -### NOT_ZERO +#### NOT_ZERO - Setting `AFL_LLVM_NOT_ZERO=1` during compilation will use counters that skip zero on overflow. This is the default for llvm >= 9, however, for llvm @@ -263,34 +264,34 @@ safe case. Note that this disables neverzero (see below). For more information, see [instrumentation/README.neverzero.md](../instrumentation/README.neverzero.md). -### CMPLOG - - - Setting `AFL_LLVM_CMPLOG=1` during compilation will tell afl-clang-fast to - produce a CmpLog binary. +#### Thread safe instrumentation counters (in all modes) -For more information, see -[instrumentation/README.cmplog.md](../instrumentation/README.cmplog.md). +Setting `AFL_LLVM_THREADSAFE_INST` will inject code that implements thread safe +counters. The overhead is a little bit higher compared to the older non-thread +safe case. Note that this disables neverzero (see NOT_ZERO). ## 3) Settings for GCC / GCC_PLUGIN modes -Then there are a few specific features that are only available in GCC and -GCC_PLUGIN mode. +There are a few specific features that are only available in GCC and GCC_PLUGIN +mode. - - Setting `AFL_GCC_INSTRUMENT_FILE` with a filename will only instrument those - files that match the names listed in this file (one filename per line). See - [instrumentation/README.instrument_list.md](../instrumentation/README.instrument_list.md) - for more information. (GCC_PLUGIN mode only) + - GCC mode only: Setting `AFL_KEEP_ASSEMBLY` prevents afl-as from deleting + instrumented assembly files. Useful for troubleshooting problems or + understanding how the tool works. - - Setting `AFL_KEEP_ASSEMBLY` prevents afl-as from deleting instrumented - assembly files. Useful for troubleshooting problems or understanding how the - tool works. (GCC mode only) To get them in a predictable place, try - something like: + To get them in a predictable place, try something like: ``` mkdir assembly_here TMPDIR=$PWD/assembly_here AFL_KEEP_ASSEMBLY=1 make clean all ``` + - GCC_PLUGIN mode only: Setting `AFL_GCC_INSTRUMENT_FILE` with a filename will + only instrument those files that match the names listed in this file (one + filename per line). See + [instrumentation/README.instrument_list.md](../instrumentation/README.instrument_list.md) + for more information. + ## 4) Settings for afl-fuzz The main fuzzer binary accepts several options that disable a couple of sanity @@ -456,7 +457,7 @@ checks or alter some of the more exotic semantics of the tool: enabled in config.h first! - Note that `AFL_POST_LIBRARY` is deprecated, use `AFL_CUSTOM_MUTATOR_LIBRARY` - instead (see below). + instead. - Setting `AFL_PRELOAD` causes AFL++ to set `LD_PRELOAD` for the target binary without disrupting the afl-fuzz process itself. This is useful, among other @@ -527,10 +528,12 @@ The QEMU wrapper used to instrument binary-only code supports several settings: - Setting `AFL_COMPCOV_LEVEL` enables the CompareCoverage tracing of all cmp and sub in x86 and x86_64 and memory comparions functions (e.g. strcmp, memcmp, ...) when libcompcov is preloaded using `AFL_PRELOAD`. More info at - qemu_mode/libcompcov/README.md. There are two levels at the moment, - `AFL_COMPCOV_LEVEL=1` that instruments only comparisons with immediate - values / read-only memory and `AFL_COMPCOV_LEVEL=2` that instruments all the - comparions. Level 2 is more accurate but may need a larger shared memory. + [qemu_mode/libcompcov/README.md](../qemu_mode/libcompcov/README.md). + + There are two levels at the moment, `AFL_COMPCOV_LEVEL=1` that instruments + only comparisons with immediate values / read-only memory and + `AFL_COMPCOV_LEVEL=2` that instruments all the comparions. Level 2 is more + accurate but may need a larger shared memory. - `AFL_DEBUG` will print the found entrypoint for the binary to stderr. Use this if you are unsure if the entrypoint might be wrong - but use it @@ -538,8 +541,8 @@ The QEMU wrapper used to instrument binary-only code supports several settings: - `AFL_ENTRYPOINT` allows you to specify a specific entrypoint into the binary (this can be very good for the performance!). The entrypoint is specified as - hex address, e.g. `0x4004110` Note that the address must be the address of a - basic block. + hex address, e.g. `0x4004110`. Note that the address must be the address of + a basic block. - Setting `AFL_INST_LIBS` causes the translator to also instrument the code inside any dynamically linked libraries (notably including glibc). @@ -555,12 +558,12 @@ The QEMU wrapper used to instrument binary-only code supports several settings: - With `AFL_QEMU_FORCE_DFL` you force QEMU to ignore the registered signal handlers of the target. - - When the target is i386/x86_64 you can specify the address of the function + - When the target is i386/x86_64, you can specify the address of the function that has to be the body of the persistent loop using `AFL_QEMU_PERSISTENT_ADDR=start addr`. - - `AFL_QEMU_PERSISTENT_GPR=1` QEMU will save the original value of general - purpose registers and restore them in each persistent cycle. + - With `AFL_QEMU_PERSISTENT_GPR=1` QEMU will save the original value of + general purpose registers and restore them in each persistent cycle. - Another modality to execute the persistent loop is to specify also the `AFL_QEMU_PERSISTENT_RET=end addr` env variable. With this variable @@ -615,7 +618,7 @@ of decimal. ## 9) Settings for libdislocator -The library honors these environmental variables: +The library honors these environment variables: - `AFL_ALIGNED_ALLOC=1` will force the alignment of the allocation size to `max_align_t` to be compliant with the C standard. @@ -645,10 +648,6 @@ discovered tokens should be written. Several variables are not directly interpreted by afl-fuzz, but are set to optimal values if not already present in the environment: - - By default, `LD_BIND_NOW` is set to speed up fuzzing by forcing the linker - to do all the work before the fork server kicks in. You can override this by - setting `LD_BIND_LAZY` beforehand, but it is almost certainly pointless. - - By default, `ASAN_OPTIONS` are set to (among others): ``` @@ -685,4 +684,8 @@ optimal values if not already present in the environment: symbolize=0 msan_track_origins=0 allocator_may_return_null=1 - ``` \ No newline at end of file + ``` + + - By default, `LD_BIND_NOW` is set to speed up fuzzing by forcing the linker + to do all the work before the fork server kicks in. You can override this by + setting `LD_BIND_LAZY` beforehand, but it is almost certainly pointless. \ No newline at end of file -- cgit 1.4.1 From 66ca8618ea3ae1506c96a38ef41b5f04387ab560 Mon Sep 17 00:00:00 2001 From: llzmb <46303940+llzmb@users.noreply.github.com> Date: Tue, 9 Nov 2021 20:35:12 +0100 Subject: Edit list of environment variables --- docs/env_variables.md | 83 +++++++++++++++++++++++++-------------------------- 1 file changed, 41 insertions(+), 42 deletions(-) (limited to 'docs') diff --git a/docs/env_variables.md b/docs/env_variables.md index 5724b197..65cca0dc 100644 --- a/docs/env_variables.md +++ b/docs/env_variables.md @@ -177,7 +177,7 @@ For more information, see This feature allows selective instrumentation of the source. -Setting `AFL_LLVM_ALLOWLIST` or `AFL_LLVM_DENYLIST` with a filenames and/or +Setting `AFL_LLVM_ALLOWLIST` or `AFL_LLVM_DENYLIST` with a file name and/or function will only instrument (or skip) those files that match the names listed in the specified file. @@ -191,32 +191,32 @@ allow afl-fuzz to find otherwise rather impossible paths. It is not restricted to Intel CPUs. ;-) - Setting `AFL_LLVM_LAF_TRANSFORM_COMPARES` will split string compare - functions - - - Setting `AFL_LLVM_LAF_SPLIT_SWITCHES` will split all `switch` constructs + functions. - Setting `AFL_LLVM_LAF_SPLIT_COMPARES` will split all floating point and 64, - 32 and 16 bit integer CMP instructions + 32 and 16 bit integer CMP instructions. - Setting `AFL_LLVM_LAF_SPLIT_FLOATS` will split floating points, needs - AFL_LLVM_LAF_SPLIT_COMPARES to be set + `AFL_LLVM_LAF_SPLIT_COMPARES` to be set. + + - Setting `AFL_LLVM_LAF_SPLIT_SWITCHES` will split all `switch` constructs. - - Setting `AFL_LLVM_LAF_ALL` sets all of the above + - Setting `AFL_LLVM_LAF_ALL` sets all of the above. For more information, see [instrumentation/README.laf-intel.md](../instrumentation/README.laf-intel.md). #### LTO -This is a different kind way of instrumentation: first it compiles all code in -LTO (link time optimization) and then performs an edge inserting instrumentation +This is a different way of instrumentation: first it compiles all code in LTO +(link time optimization) and then performs an edge inserting instrumentation which is 100% collision free (collisions are a big issue in AFL and AFL-like instrumentations). This is performed by using afl-clang-lto/afl-clang-lto++ instead of afl-clang-fast, but is only built if LLVM 11 or newer is used. - - `AFL_LLVM_INSTRUMENT=CFG` will use Control Flow Graph instrumentation. (not - recommended for afl-clang-fast, default for afl-clang-lto as there it is a - different and better kind of instrumentation.) +`AFL_LLVM_INSTRUMENT=CFG` will use Control Flow Graph instrumentation. (Not +recommended for afl-clang-fast, default for afl-clang-lto as there it is a +different and better kind of instrumentation.) None of the following options are necessary to be used and are rather for manual use (which only ever the author of this LTO implementation will use). These are @@ -226,22 +226,22 @@ combined. - `AFL_LLVM_DOCUMENT_IDS=file` will document to a file which edge ID was given to which function. This helps to identify functions with variable bytes or which functions were touched by an input. + - `AFL_LLVM_LTO_DONTWRITEID` prevents that the highest location ID written + into the instrumentation is set in a global variable. + - `AFL_LLVM_LTO_STARTID` sets the starting location ID for the + instrumentation. This defaults to 1. - `AFL_LLVM_MAP_ADDR` sets the fixed map address to a different address than the default `0x10000`. A value of 0 or empty sets the map address to be - dynamic (the original AFL way, which is slower) - - `AFL_LLVM_MAP_DYNAMIC` sets the shared memory address to be dynamic - - `AFL_LLVM_LTO_STARTID` sets the starting location ID for the - instrumentation. This defaults to 1 - - `AFL_LLVM_LTO_DONTWRITEID` prevents that the highest location ID written - into the instrumentation is set in a global variable + dynamic (the original AFL way, which is slower). + - `AFL_LLVM_MAP_DYNAMIC` sets the shared memory address to be dynamic. For more information, see [instrumentation/README.lto.md](../instrumentation/README.lto.md). #### NGRAM -Setting `AFL_LLVM_NGRAM_SIZE` or `AFL_LLVM_INSTRUMENT=NGRAM-{value}` activates -ngram prev_loc coverage, good values are 2, 4 or 8 (any value between 2 and 16 +Setting `AFL_LLVM_INSTRUMENT=NGRAM-{value}` or `AFL_LLVM_NGRAM_SIZE` activates +ngram prev_loc coverage. Good values are 2, 4, or 8 (any value between 2 and 16 is valid). It is highly recommended to increase the `MAP_SIZE_POW2` definition in config.h to at least 18 and maybe up to 20 for this as otherwise too many map collisions occur. @@ -258,7 +258,7 @@ For more information, see discovery by a little bit. - Setting `AFL_LLVM_SKIP_NEVERZERO=1` will not implement the skip zero test. - If the target performs only few loops, then this will give a small + If the target performs only a few loops, then this will give a small performance boost. For more information, see @@ -310,9 +310,9 @@ checks or alter some of the more exotic semantics of the tool: in`). This is an important feature to set when resuming a fuzzing session. - Setting `AFL_CRASH_EXITCODE` sets the exit code AFL treats as crash. For - example, if `AFL_CRASH_EXITCODE='-1'` is set, each input resulting in an - `-1` return code (i.e. `exit(-1)` got called), will be treated as if a crash - had ocurred. This may be beneficial if you look for higher-level faulty + example, if `AFL_CRASH_EXITCODE='-1'` is set, each input resulting in a `-1` + return code (i.e. `exit(-1)` got called), will be treated as if a crash had + occurred. This may be beneficial if you look for higher-level faulty conditions in which your target still exits gracefully. - Setting `AFL_CUSTOM_MUTATOR_LIBRARY` to a shared library with @@ -325,7 +325,7 @@ checks or alter some of the more exotic semantics of the tool: XML or other highly flexible structured input. Please see [custom_mutators.md](custom_mutators.md). - - Setting `AFL_CYCLE_SCHEDULES` will switch to a different schedule everytime + - Setting `AFL_CYCLE_SCHEDULES` will switch to a different schedule every time a cycle is finished. - Setting `AFL_DEBUG_CHILD` will not suppress the child output. This lets you @@ -341,7 +341,7 @@ checks or alter some of the more exotic semantics of the tool: - `AFL_EXIT_ON_SEED_ISSUES` will restore the vanilla afl-fuzz behaviour which does not allow crashes or timeout seeds in the initial -i corpus. - - `AFL_EXIT_ON_TIME` Causes afl-fuzz to terminate if no new paths were found + - `AFL_EXIT_ON_TIME` causes afl-fuzz to terminate if no new paths were found within a specified period of time (in seconds). May be convenient for some types of automated jobs. @@ -365,7 +365,7 @@ checks or alter some of the more exotic semantics of the tool: to wait for the forkserver to spin up. The default is the `-t` value times `FORK_WAIT_MULT` from `config.h` (usually 10), so for a `-t 100`, the default would wait for `1000` milliseconds. Setting a different time here is - useful if the target has a very slow startup time, for example when doing + useful if the target has a very slow startup time, for example, when doing full-system fuzzing or emulation, but you don't want the actual runs to wait too long for timeouts. @@ -394,8 +394,8 @@ checks or alter some of the more exotic semantics of the tool: likely don't have to set it. By default, on timeout and on exit, `SIGKILL` (`AFL_KILL_SIGNAL=9`) will be delivered to the child. - - `AFL_MAP_SIZE` sets the size of the shared map that afl-fuzz, afl-showmap, - afl-tmin and afl-analyze create to gather instrumentation data from the + - `AFL_MAP_SIZE` sets the size of the shared map that afl-analyze, afl-fuzz, + afl-showmap, and afl-tmin create to gather instrumentation data from the target. This must be equal or larger than the size the target was compiled with. @@ -417,15 +417,15 @@ checks or alter some of the more exotic semantics of the tool: - Setting `AFL_NO_AUTODICT` will not load an LTO generated auto dictionary that is compiled into the target. - - The CPU widget shown at the bottom of the screen is fairly simplistic and - may complain of high load prematurely, especially on systems with low core - counts. To avoid the alarming red color for very high cpu usages, you can - set `AFL_NO_CPU_RED`. - - Setting `AFL_NO_COLOR` or `AFL_NO_COLOUR` will omit control sequences for coloring console output when configured with USE_COLOR and not ALWAYS_COLORED. + - The CPU widget shown at the bottom of the screen is fairly simplistic and + may complain of high load prematurely, especially on systems with low core + counts. To avoid the alarming red color for very high CPU usages, you can + set `AFL_NO_CPU_RED`. + - Setting `AFL_NO_FORKSRV` disables the forkserver optimization, reverting to fork + execve() call for every tested input. This is useful mostly when working with unruly libraries that create threads or do other crazy things @@ -438,7 +438,7 @@ checks or alter some of the more exotic semantics of the tool: - `AFL_NO_SNAPSHOT` will advice afl-fuzz not to use the snapshot feature if the snapshot lkm is loaded. - - Setting `AFL_NO_UI` inhibits the UI altogether, and just periodically prints + - Setting `AFL_NO_UI` inhibits the UI altogether and just periodically prints some basic stats. This behavior is also automatically triggered when the output from afl-fuzz is redirected to a file or to a pipe. @@ -449,7 +449,7 @@ checks or alter some of the more exotic semantics of the tool: [instrumentation/README.persistent_mode.md](../instrumentation/README.persistent_mode.md)), some targets keep inherent state due which a detected crash testcase does not crash the target again when the testcase is given. To be able to still - re-trigger these crashes you can use the `AFL_PERSISTENT_RECORD` variable + re-trigger these crashes, you can use the `AFL_PERSISTENT_RECORD` variable with a value of how many previous fuzz cases to keep prio a crash. If set to e.g. 10, then the 9 previous inputs are written to out/default/crashes as RECORD:000000,cnt:000000 to RECORD:000000,cnt:000008 and @@ -490,8 +490,8 @@ checks or alter some of the more exotic semantics of the tool: `AFL_STATSD_TAGS_FLAVOR` that matches your StatsD server (see `AFL_STATSD_TAGS_FLAVOR`). - - Setting `AFL_STATSD_TAGS_FLAVOR` to one of `dogstatsd`, `librato`, - `signalfx` or `influxdb` allows you to add tags to your fuzzing instances. + - Setting `AFL_STATSD_TAGS_FLAVOR` to one of `dogstatsd`, `influxdb`, + `librato`, or `signalfx` allows you to add tags to your fuzzing instances. This is especially useful when running multiple instances (`-M/-S` for example). Applied tags are `banner` and `afl_version`. `banner` corresponds to the name of the fuzzer provided through `-M/-S`. `afl_version` @@ -509,8 +509,8 @@ checks or alter some of the more exotic semantics of the tool: TESTCASE_CACHE` in config.h. Recommended values are 50-250MB - or more if your fuzzing finds a huge amount of paths for large inputs. - - `AFL_TMPDIR` is used to write the `.cur_input` file to if exists, and in the - normal output directory otherwise. You would use this to point to a + - `AFL_TMPDIR` is used to write the `.cur_input` file to if it exists, and in + the normal output directory otherwise. You would use this to point to a ramdisk/tmpfs. This increases the speed by a small value but also reduces the stress on SSDs. @@ -597,8 +597,7 @@ The corpus minimization script offers very little customization: afl-qemu-trace (the latter only in `-Q` mode). - `AFL_PRINT_FILENAMES` prints each filename to stdout, as it gets processed. - This can help when embedding `afl-cmin` or `afl-showmap` in other scripts - scripting. + This can help when embedding `afl-cmin` or `afl-showmap` in other scripts. ## 7) Settings for afl-tmin -- cgit 1.4.1 From b47344e8f7b92c2501262e132b8459f01e89147e Mon Sep 17 00:00:00 2001 From: vanhauser-thc Date: Wed, 10 Nov 2021 11:33:49 +0100 Subject: doc --- docs/fuzzing_expert.md | 4 ++-- 1 file changed, 2 insertions(+), 2 deletions(-) (limited to 'docs') diff --git a/docs/fuzzing_expert.md b/docs/fuzzing_expert.md index 44ebade4..876c5fbb 100644 --- a/docs/fuzzing_expert.md +++ b/docs/fuzzing_expert.md @@ -87,8 +87,8 @@ The following options are available when you instrument with LTO mode (afl-clang transform input data before comparison. Therefore this technique is called `input to state` or `redqueen`. If you want to use this technique, then you have to compile the target - twice, once specifically with/for this mode, and pass this binary to afl-fuzz - via the `-c` parameter. + twice, once specifically with/for this mode by setting `AFL_LLVM_CMPLOG=1`, + and pass this binary to afl-fuzz via the `-c` parameter. Note that you can compile also just a cmplog binary and use that for both however there will be a performance penality. You can read more about this in [instrumentation/README.cmplog.md](../instrumentation/README.cmplog.md) -- cgit 1.4.1 From 533e979010ca338df6fc415d87668f8187752915 Mon Sep 17 00:00:00 2001 From: vanhauser-thc Date: Wed, 10 Nov 2021 12:49:57 +0100 Subject: update qemuafl, update changelog --- docs/Changelog.md | 17 +++++++++++------ qemu_mode/QEMUAFL_VERSION | 2 +- qemu_mode/qemuafl | 2 +- 3 files changed, 13 insertions(+), 8 deletions(-) (limited to 'docs') diff --git a/docs/Changelog.md b/docs/Changelog.md index 2c72b5f2..6a9c895c 100644 --- a/docs/Changelog.md +++ b/docs/Changelog.md @@ -9,25 +9,31 @@ Want to stay in the loop on major new features? Join our mailing list by sending a mail to . ### Version ++3.15a (dev) + - documentation restructuring, made possible by Google Season of Docs :) - afl-fuzz: + - cmplog binaries will need to be recompiled for this version + (it is better!) + - fix a regression introduced in 3.10 that resulted in less + coverage being detected. thanks to Collin May for reporting! - added AFL_IGNORE_PROBLEMS plus checks to identify and abort on incorrect LTO usage setups and enhanced the READMEs for better information on how to deal with instrumenting libraries - - fix a regression introduced in 3.10 that resulted in less - coverage being detected. thanks to Collin May for reporting! - fix -n dumb mode (nobody should use this) - fix stability issue with LTO and cmplog - better banner - more effective cmplog mode - more often update the UI when in input2stage mode - - frida_mode: David Carlier added Android support :) + - frida_mode: + - better performance, bug fixes + - David Carlier added Android support :) - afl-showmap, afl-tmin and afl-analyze: - - honor persistent mode for more speed. thanks to dloffre-snl for - reporting! + - honor persistent mode for more speed. thanks to dloffre-snl + for reporting! - fix bug where targets are not killed on timeouts - Prevent accidently killing non-afl/fuzz services when aborting afl-showmap and other tools. - afl-cc: + - new cmplog mode (incompatible with older afl++ versions) - support llvm IR select instrumentation for default PCGUARD and LTO - fix for shared linking on MacOS - added AFL_USE_TSAN thread sanitizer support @@ -45,7 +51,6 @@ sending a mail to . - added uninstall target to makefile (todo: update new readme!) - removed indirections in rust callbacks for unicornafl - ### Version ++3.14c (release) - afl-fuzz: - fix -F when a '/' was part of the parameter diff --git a/qemu_mode/QEMUAFL_VERSION b/qemu_mode/QEMUAFL_VERSION index 5d6b5276..680c04d6 100644 --- a/qemu_mode/QEMUAFL_VERSION +++ b/qemu_mode/QEMUAFL_VERSION @@ -1 +1 @@ -eb765dd8a606c12c7d43bb2748461c7f13ab0367 +002e473939 diff --git a/qemu_mode/qemuafl b/qemu_mode/qemuafl index eb765dd8..002e4739 160000 --- a/qemu_mode/qemuafl +++ b/qemu_mode/qemuafl @@ -1 +1 @@ -Subproject commit eb765dd8a606c12c7d43bb2748461c7f13ab0367 +Subproject commit 002e473939a350854d56f67ce7b2e2d9706b8bca -- cgit 1.4.1 From 268339a683aab00f8487eac1ca31ef5d6c6abc4b Mon Sep 17 00:00:00 2001 From: vanhauser-thc Date: Tue, 16 Nov 2021 11:03:53 +0100 Subject: showmap -A -> -H, accurate help output --- GNUmakefile | 2 +- afl-cmin | 6 +++--- afl-cmin.bash | 4 ++-- coresight_mode/README.md | 1 - docs/Changelog.md | 6 +++++- src/afl-analyze.c | 7 ++++++- src/afl-fuzz-bitmap.c | 6 ++---- src/afl-fuzz.c | 7 ++++++- src/afl-showmap.c | 19 ++++++++++++------- src/afl-tmin.c | 7 ++++++- 10 files changed, 43 insertions(+), 22 deletions(-) (limited to 'docs') diff --git a/GNUmakefile b/GNUmakefile index ab57e7ad..673d2bf8 100644 --- a/GNUmakefile +++ b/GNUmakefile @@ -346,7 +346,7 @@ help: @echo "HELP --- the following make targets exist:" @echo "==========================================" @echo "all: just the main afl++ binaries" - @echo "binary-only: everything for binary-only fuzzing: coresight_mode, qemu_mode, unicorn_mode, libdislocator, libtokencap" + @echo "binary-only: everything for binary-only fuzzing: qemu_mode, frida_mode, unicorn_mode, coresight_mode, libdislocator, libtokencap" @echo "source-only: everything for source code fuzzing: gcc_plugin, libdislocator, libtokencap" @echo "distrib: everything (for both binary-only and source code fuzzing)" @echo "man: creates simple man pages from the help option of the programs" diff --git a/afl-cmin b/afl-cmin index e6f8c175..879aead2 100755 --- a/afl-cmin +++ b/afl-cmin @@ -396,7 +396,7 @@ BEGIN { system( "AFL_CMIN_ALLOW_ANY=1 "AFL_CMIN_CRASHES_ONLY"\""showmap"\" -m "mem_limit" -t "timeout" -o \""trace_dir"/.run_test\" -Z "extra_par" -- \""target_bin"\" "prog_args_string" <\""in_dir"/"first_file"\"") } else { system("cp \""in_dir"/"first_file"\" "stdin_file) - system( "AFL_CMIN_ALLOW_ANY=1 "AFL_CMIN_CRASHES_ONLY"\""showmap"\" -m "mem_limit" -t "timeout" -o \""trace_dir"/.run_test\" -Z "extra_par" -A \""stdin_file"\" -- \""target_bin"\" "prog_args_string" . ### Version ++3.15a (dev) - documentation restructuring, made possible by Google Season of Docs :) + - new binary-only fuzzing mode: coresight_mode for aarch64 CPUs :) + thanks to RICSecLab submitting! - afl-fuzz: - cmplog binaries will need to be recompiled for this version (it is better!) - fix a regression introduced in 3.10 that resulted in less coverage being detected. thanks to Collin May for reporting! - - added AFL_IGNORE_PROBLEMS plus checks to identify and abort on + - added AFL_IGNORE_PROBLEMS, plus checks to identify and abort on incorrect LTO usage setups and enhanced the READMEs for better information on how to deal with instrumenting libraries - fix -n dumb mode (nobody should use this) @@ -30,6 +32,8 @@ sending a mail to . - honor persistent mode for more speed. thanks to dloffre-snl for reporting! - fix bug where targets are not killed on timeouts + - moved hidden afl-showmap -A option to -H to be used for + coresight_mode - Prevent accidently killing non-afl/fuzz services when aborting afl-showmap and other tools. - afl-cc: diff --git a/src/afl-analyze.c b/src/afl-analyze.c index bc562c15..ac5a324c 100644 --- a/src/afl-analyze.c +++ b/src/afl-analyze.c @@ -848,12 +848,17 @@ static void usage(u8 *argv0) { " -f file - input file read by the tested program (stdin)\n" " -t msec - timeout for each run (%u ms)\n" " -m megs - memory limit for child process (%u MB)\n" +#if defined(__linux__) && defined(__aarch64__) " -A - use binary-only instrumentation (ARM CoreSight mode)\n" +#endif " -O - use binary-only instrumentation (FRIDA mode)\n" +#if defined(__linux__) " -Q - use binary-only instrumentation (QEMU mode)\n" " -U - use unicorn-based instrumentation (Unicorn mode)\n" " -W - use qemu-based instrumentation with Wine (Wine " - "mode)\n\n" + "mode)\n" +#endif + "\n" "Analysis settings:\n" diff --git a/src/afl-fuzz-bitmap.c b/src/afl-fuzz-bitmap.c index f7b59f25..a204e374 100644 --- a/src/afl-fuzz-bitmap.c +++ b/src/afl-fuzz-bitmap.c @@ -452,14 +452,12 @@ save_if_interesting(afl_state_t *afl, void *mem, u32 len, u8 fault) { if (unlikely(len == 0)) { return 0; } + u8 fn[PATH_MAX]; u8 *queue_fn = ""; - u8 new_bits = '\0'; + u8 new_bits = 0, keeping = 0, res, classified = 0; s32 fd; - u8 keeping = 0, res, classified = 0; u64 cksum = 0; - u8 fn[PATH_MAX]; - /* Update path frequency. */ /* Generating a hash on every input is super expensive. Bad idea and should diff --git a/src/afl-fuzz.c b/src/afl-fuzz.c index dfd62db8..195366bd 100644 --- a/src/afl-fuzz.c +++ b/src/afl-fuzz.c @@ -113,12 +113,17 @@ static void usage(u8 *argv0, int more_help) { "maximum.\n" " -m megs - memory limit for child process (%u MB, 0 = no limit " "[default])\n" +#if defined(__linux__) && defined(__aarch64__) " -A - use binary-only instrumentation (ARM CoreSight mode)\n" +#endif " -O - use binary-only instrumentation (FRIDA mode)\n" +#if defined(__linux__) " -Q - use binary-only instrumentation (QEMU mode)\n" " -U - use unicorn-based instrumentation (Unicorn mode)\n" " -W - use qemu-based instrumentation with Wine (Wine " - "mode)\n\n" + "mode)\n" +#endif + "\n" "Mutator settings:\n" " -D - enable deterministic fuzzing (once per queue entry)\n" diff --git a/src/afl-showmap.c b/src/afl-showmap.c index 899baaa0..0ba265ab 100644 --- a/src/afl-showmap.c +++ b/src/afl-showmap.c @@ -844,13 +844,18 @@ static void usage(u8 *argv0) { "Execution control settings:\n" " -t msec - timeout for each run (none)\n" " -m megs - memory limit for child process (%u MB)\n" +#if defined(__linux__) && defined(__aarch64__) + " -A - use binary-only instrumentation (ARM CoreSight mode)\n" +#endif " -O - use binary-only instrumentation (FRIDA mode)\n" - " -P - use binary-only instrumentation (ARM CoreSight mode)\n" +#if defined(__linux__) " -Q - use binary-only instrumentation (QEMU mode)\n" " -U - use Unicorn-based instrumentation (Unicorn mode)\n" " -W - use qemu-based instrumentation with Wine (Wine mode)\n" " (Not necessary, here for consistency with other afl-* " - "tools)\n\n" + "tools)\n" +#endif + "\n" "Other settings:\n" " -i dir - process all files below this directory, must be combined " "with -o.\n" @@ -920,7 +925,7 @@ int main(int argc, char **argv_orig, char **envp) { if (getenv("AFL_QUIET") != NULL) { be_quiet = true; } - while ((opt = getopt(argc, argv, "+i:o:f:m:t:A:eqCZOPQUWbcrsh")) > 0) { + while ((opt = getopt(argc, argv, "+i:o:f:m:t:A:eqCZOHQUWbcrsh")) > 0) { switch (opt) { @@ -1049,7 +1054,7 @@ int main(int argc, char **argv_orig, char **envp) { quiet_mode = true; break; - case 'A': + case 'H': /* Another afl-cmin specific feature. */ at_file = optarg; break; @@ -1065,13 +1070,13 @@ int main(int argc, char **argv_orig, char **envp) { /* FIXME: We want to use -P for consistency, but it is already unsed for * undocumenetd feature "Another afl-cmin specific feature." */ - case 'P': /* CoreSight mode */ + case 'A': /* CoreSight mode */ #if !defined(__aarch64__) || !defined(__linux__) - FATAL("-P option is not supported on this platform"); + FATAL("-A option is not supported on this platform"); #endif - if (fsrv->cs_mode) { FATAL("Multiple -P options not supported"); } + if (fsrv->cs_mode) { FATAL("Multiple -A options not supported"); } fsrv->cs_mode = true; break; diff --git a/src/afl-tmin.c b/src/afl-tmin.c index 22383a4e..89546c45 100644 --- a/src/afl-tmin.c +++ b/src/afl-tmin.c @@ -866,14 +866,19 @@ static void usage(u8 *argv0) { " -f file - input file read by the tested program (stdin)\n" " -t msec - timeout for each run (%u ms)\n" " -m megs - memory limit for child process (%u MB)\n" +#if defined(__linux__) && defined(__aarch64__) " -A - use binary-only instrumentation (ARM CoreSight mode)\n" +#endif " -O - use binary-only instrumentation (FRIDA mode)\n" +#if defined(__linux__) " -Q - use binary-only instrumentation (QEMU mode)\n" " -U - use unicorn-based instrumentation (Unicorn mode)\n" " -W - use qemu-based instrumentation with Wine (Wine " "mode)\n" " (Not necessary, here for consistency with other afl-* " - "tools)\n\n" + "tools)\n" +#endif + "\n" "Minimization settings:\n" -- cgit 1.4.1 From b659be15494011184694a35ce02927f743fe0518 Mon Sep 17 00:00:00 2001 From: vanhauser-thc Date: Tue, 16 Nov 2021 13:54:31 +0100 Subject: add coresight to docs --- docs/binaryonly_fuzzing.md | 10 +++------- docs/features.md | 31 +++++++++++++++++-------------- 2 files changed, 20 insertions(+), 21 deletions(-) (limited to 'docs') diff --git a/docs/binaryonly_fuzzing.md b/docs/binaryonly_fuzzing.md index de360543..2c0872cf 100644 --- a/docs/binaryonly_fuzzing.md +++ b/docs/binaryonly_fuzzing.md @@ -175,13 +175,9 @@ ## CORESIGHT Coresight is ARM's answer to Intel's PT. - There is no implementation so far which handles coresight and getting - it working on an ARM Linux is very difficult due to custom kernel building - on embedded systems is difficult. And finding one that has coresight in - the ARM chip is difficult too. - My guess is that it is slower than Qemu, but faster than Intel PT. - - If anyone finds any coresight implementation for AFL please ping me: vh@thc.org + With afl++ v3.15 there is a coresight tracer implementation available in + `coresight_mode/` which is faster than QEMU, however can not run in parallel. + Currently only one process can be traced, it is WIP. ## PIN & DYNAMORIO diff --git a/docs/features.md b/docs/features.md index c0956703..f44e32ff 100644 --- a/docs/features.md +++ b/docs/features.md @@ -4,20 +4,20 @@ with laf-intel and redqueen, frida mode, unicorn mode, gcc plugin, full *BSD, Mac OS, Solaris and Android support and much, much, much more. - | Feature/Instrumentation | afl-gcc | llvm | gcc_plugin | frida_mode | qemu_mode |unicorn_mode | - | -------------------------|:-------:|:---------:|:----------:|:----------------:|:----------------:|:----------------:| - | Threadsafe counters | | x(3) | | | | | - | NeverZero | x86[_64]| x(1) | x | x | x | x | - | Persistent Mode | | x | x | x86[_64]/arm64 | x86[_64]/arm[64] | x | - | LAF-Intel / CompCov | | x | | | x86[_64]/arm[64] | x86[_64]/arm[64] | - | CmpLog | | x | | x86[_64]/arm64 | x86[_64]/arm[64] | | - | Selective Instrumentation| | x | x | x | x | | - | Non-Colliding Coverage | | x(4) | | | (x)(5) | | - | Ngram prev_loc Coverage | | x(6) | | | | | - | Context Coverage | | x(6) | | | | | - | Auto Dictionary | | x(7) | | | | | - | Snapshot LKM Support | | (x)(8) | (x)(8) | | (x)(5) | | - | Shared Memory Testcases | | x | x | x86[_64]/arm64 | x | x | + | Feature/Instrumentation | afl-gcc | llvm | gcc_plugin | frida_mode(9) | qemu_mode(10) |unicorn_mode(10) |coresight_mode(11)| + | -------------------------|:-------:|:---------:|:----------:|:----------------:|:----------------:|:----------------:|:----------------:| + | Threadsafe counters | | x(3) | | | | | | + | NeverZero | x86[_64]| x(1) | x | x | x | x | | + | Persistent Mode | | x | x | x86[_64]/arm64 | x86[_64]/arm[64] | x | | + | LAF-Intel / CompCov | | x | | | x86[_64]/arm[64] | x86[_64]/arm[64] | | + | CmpLog | | x | | x86[_64]/arm64 | x86[_64]/arm[64] | | | + | Selective Instrumentation| | x | x | x | x | | | + | Non-Colliding Coverage | | x(4) | | | (x)(5) | | | + | Ngram prev_loc Coverage | | x(6) | | | | | | + | Context Coverage | | x(6) | | | | | | + | Auto Dictionary | | x(7) | | | | | | + | Snapshot LKM Support | | (x)(8) | (x)(8) | | (x)(5) | | | + | Shared Memory Testcases | | x | x | x86[_64]/arm64 | x | x | | 1. default for LLVM >= 9.0, env var for older version due an efficiency bug in previous llvm versions 2. GCC creates non-performant code, hence it is disabled in gcc_plugin @@ -27,6 +27,9 @@ 6. not compatible with LTO instrumentation and needs at least LLVM v4.1 7. automatic in LTO mode with LLVM 11 and newer, an extra pass for all LLVM versions that write to a file to use with afl-fuzz' `-x` 8. the snapshot LKM is currently unmaintained due to too many kernel changes coming too fast :-( + 9. frida mode is supported on Linux and MacOS for Intel and ARM + 10. QEMU/Unicorn is only supported on Linux + 11. Coresight mode is only available on AARCH64 Linux with a CPU with Coresight extension Among others, the following features and patches have been integrated: -- cgit 1.4.1 From 132630d48d0f9fe50e9388f941433c85636587da Mon Sep 17 00:00:00 2001 From: vanhauser-thc Date: Wed, 17 Nov 2021 09:09:03 +0100 Subject: nit --- docs/technical_details.md | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) (limited to 'docs') diff --git a/docs/technical_details.md b/docs/technical_details.md index b9d271d9..994ffe9f 100644 --- a/docs/technical_details.md +++ b/docs/technical_details.md @@ -1,7 +1,7 @@ # Technical "whitepaper" for afl-fuzz -NOTE: this document is rather outdated! +NOTE: this document is mostly outdated! This document provides a quick overview of the guts of American Fuzzy Lop. -- cgit 1.4.1 From 8a9f3bcca87ef7bcadec09e2504ae3a40d6d4314 Mon Sep 17 00:00:00 2001 From: vanhauser-thc Date: Wed, 17 Nov 2021 09:09:26 +0100 Subject: d2 --- docs/docs2.md | 119 ++++++++++++++++++++++++++++++++++++++++++++++++++++++++++ 1 file changed, 119 insertions(+) create mode 100644 docs/docs2.md (limited to 'docs') diff --git a/docs/docs2.md b/docs/docs2.md new file mode 100644 index 00000000..10912efd --- /dev/null +++ b/docs/docs2.md @@ -0,0 +1,119 @@ +# Restructure AFL++'s documentation - Case Study + +## Problem statement + +AFL++ inherited it's documentation from the original Google AFL project. +Since then it has been massively improved - feature and performance wise - +and although the documenation has likewise been continued it has grown out +of proportion. +The documentation is done by non-natives to the English language, plus +none of us has a writer background. + +We see questions on AFL++ usage on mailing lists (e.g. afl-users), discord +channels, web forums and as issues in our repository. +Most of them could be answered if people would read through all the +documentation. + +This only increases as AFL++ has been on the top of Google's fuzzbench +statistics (which measures the performance of fuzzers) and has been +integrated in Google's oss-fuzz and clusterfuzz - and is in many Unix +packaging repositories, e.g. Debian, FreeBSD, etc. + +AFL++ had 44 (!) documentation files with 13k total lines of content. +This was way too much. + +## Proposal abstract + +AFL++'s documentatin needs a complete overhaul, both on a +organisation/structural level as well as the content. + +Overall the following actions have to be performed: + * Create a better structure of documentation so it is easier to find the + information that is being looked for, combining and/or splitting up the + existing documents as needed. + * Rewrite some documentation to remove duplication. Several information is + present several times in the documentation. These should be removed to + where needed so that we have as little bloat as possible. + * The documents have been written and modified by a lot of different people, + most of them non-native English speaker. Hence an overall review where + parts should be rewritten has to be performed and then the rewrite done. + * Create a cheat-sheet for a very short best-setup build and run of AFL++ + * Pictures explain more than 1000 words. We need at least 4 images that + explain the workflow with AFL++: + - the build workflow + - the fuzzing workflow + - the fuzzing campaign management workflow + - the overall workflow that is an overview of the above + - maybe more? where the technical writes seems it necessary for + understanding. + +Requirements: + * Documentation has to be in Markdown format + * Images have to be either in SVG or PNG format. + * All documentation should be (moved) in(to) docs/ + +## Project description + +We created our proposal by discussing in the team what the issues are and +what was needed to fix it. +This resulted in the [project proposal](https://github.com/AFLplusplus/AFLplusplus/blob/stable/docs/docs.md). + +We did not want to be selected by a writer but select a writer ourselves, so +we combed through the list and reviewed every single one of them. +We were not looking for coders writing technical documentation, but rather +someone who is an experienced writer and has documented experience with +structuring documentation. +Few fit that profile and we sent out messages to 6 people. +We finally decided on Jana because she had a strong background in technical +documentation and structuring information. +She had no technical experience in fuzzing whatsoever, but this was a plus - +of course this made the whole process longer to explain details, but overall +ensured that the documentation can be read by (mostly) everyone. + +The project was off to a good start, but then Jana got pregnant with serious +side effects that made working impossible for her for a longer time, hence +the schedule was thrown back. +She offered to rescind the payment and we select a new writer, but we saw +little opportunity in that, as that would mean a new selection of a writer, +someone else with a different vision on how the result should look like so +basically a full restart of the project and a large impact on our own time. +So we agreed on - after discussion with the Google GSoD team - that she +continues the project after the GSoD completion deadline as best as she can. + +Originally the project should have been ended begin of October, but now - at +mid of November, we are at about 65% completion, with a completion hopefully +in January or February next year. +The most important parts of the documentation have been restructured and +rewritten (the user how-to parts) with some smaller todos left, the in-depth +documentation on the inner workings as well as the workflow diagrams are still +to be done. + +## Metrics + +We merged most of the changes in our development branch and are getting +close to a state where the user documentation part is completed and we +can create a new release. Only then the new documentatin is actually visible +to users. Therefore no metrics could be collected so far. + +The documentation was reviewed by a few test users so far however who gave +it a thumbs up. + +## Summary + +The GSoD project itself is great. It helps to get the documentation back in +line. +It was and is a larger time investment from our side, but we expected that. +When the project is done, the documentation will be more accessible by users +and also need less maintenance by us. +There is still follow-up work to be done by us afterwards (web site for the +docs, etc.). + +Not sure what we would do differently next time. I think we prepared best as +possible and reacted best as possible to the unexpected. + +Recommendations for other organizations who would like to participate in GSoD: + - expect the process to take a larger part of your time. the writer needs + your full support. + - have someone dedicated from the dev/org side to support, educate and + supervice the writer + - set clear goals and expectations -- cgit 1.4.1 From 5ec859cece70ab1b5cd9e0356c4cc3e260d2cbe0 Mon Sep 17 00:00:00 2001 From: llzmb <46303940+llzmb@users.noreply.github.com> Date: Sat, 20 Nov 2021 15:48:49 +0100 Subject: Clean up docs folder --- README.md | 98 ++++---- docs/best_practices.md | 4 +- docs/branches.md | 11 - docs/fuzzing_expert.md | 630 ---------------------------------------------- docs/fuzzing_in_depth.md | 630 ++++++++++++++++++++++++++++++++++++++++++++++ docs/known_limitations.md | 36 --- docs/limitations.md | 36 +++ docs/sister_projects.md | 319 ----------------------- docs/third_party_tools.md | 33 +++ docs/tools.md | 33 --- 10 files changed, 756 insertions(+), 1074 deletions(-) delete mode 100644 docs/branches.md delete mode 100644 docs/fuzzing_expert.md create mode 100644 docs/fuzzing_in_depth.md delete mode 100644 docs/known_limitations.md create mode 100644 docs/limitations.md delete mode 100644 docs/sister_projects.md create mode 100644 docs/third_party_tools.md delete mode 100644 docs/tools.md (limited to 'docs') diff --git a/README.md b/README.md index 575a6a1a..b2714787 100644 --- a/README.md +++ b/README.md @@ -6,7 +6,7 @@ Release version: [3.14c](https://github.com/AFLplusplus/AFLplusplus/releases) GitHub version: 3.15a -Repository: +Repository: [https://github.com/AFLplusplus/AFLplusplus](https://github.com/AFLplusplus/AFLplusplus) AFL++ is maintained by: @@ -18,33 +18,33 @@ AFL++ is maintained by: Originally developed by Michał "lcamtuf" Zalewski. -AFL++ is a superior fork to Google's AFL - more speed, more and better +AFL++ is a superior fork to Google's AFL - more speed, more and better mutations, more and better instrumentation, custom module support, etc. -You are free to copy, modify, and distribute AFL++ with attribution under the +You are free to copy, modify, and distribute AFL++ with attribution under the terms of the Apache-2.0 License. See the [LICENSE](LICENSE) for details. ## Getting started Here is some information to get you started: -* For releases, please see the - [Releases](https://github.com/AFLplusplus/AFLplusplus/releases) tab and - [branches](docs/branches.md). Also take a look at the list of +* For releases, please see the + [Releases tab](https://github.com/AFLplusplus/AFLplusplus/releases) and + [branches](#branches). Also take a look at the list of [important changes in AFL++](docs/important_changes.md). -* If you want to use AFL++ for your academic work, check the +* If you want to use AFL++ for your academic work, check the [papers page](https://aflplus.plus/papers/) on the website. * To cite our work, look at the [Cite](#cite) section. -* For comparisons, use the fuzzbench `aflplusplus` setup, or use - `afl-clang-fast` with `AFL_LLVM_CMPLOG=1`. You can find the `aflplusplus` - default configuration on Google's +* For comparisons, use the fuzzbench `aflplusplus` setup, or use + `afl-clang-fast` with `AFL_LLVM_CMPLOG=1`. You can find the `aflplusplus` + default configuration on Google's [fuzzbench](https://github.com/google/fuzzbench/tree/master/fuzzers/aflplusplus). -* To get you started with tutorials, go to +* To get you started with tutorials, go to [docs/tutorials.md](docs/tutorials.md). ## Building and installing AFL++ -To have AFL++ easily available with everything compiled, pull the image +To have AFL++ easily available with everything compiled, pull the image directly from the Docker Hub: ```shell @@ -52,39 +52,39 @@ docker pull aflplusplus/aflplusplus docker run -ti -v /location/of/your/target:/src aflplusplus/aflplusplus ``` -This image is automatically generated when a push to the stable repo happens -(see [docs/branches.md](docs/branches.md)). You will find your target source +This image is automatically generated when a push to the stable repo happens +(see [branches](#branches)). You will find your target source code in `/src` in the container. To build AFL++ yourself, continue at [docs/INSTALL.md](docs/INSTALL.md). ## Quick start: Fuzzing with AFL++ -*NOTE: Before you start, please read about the [common sense risks of +*NOTE: Before you start, please read about the [common sense risks of fuzzing](docs/common_sense_risks.md).* -This is a quick start for fuzzing targets with the source code available. To +This is a quick start for fuzzing targets with the source code available. To read about the process in detail, see -[docs/fuzzing_expert.md](docs/fuzzing_expert.md). +[docs/fuzzing_in_depth.md](docs/fuzzing_in_depth.md). To learn about fuzzing other targets, see: -* Binary-only targets: +* Binary-only targets: [docs/fuzzing_binary-only_targets.md](docs/fuzzing_binary-only_targets.md) -* Network services: +* Network services: [docs/best_practices.md#fuzzing-a-network-service](docs/best_practices.md#fuzzing-a-network-service) -* GUI programs: +* GUI programs: [docs/best_practices.md#fuzzing-a-gui-program](docs/best_practices.md#fuzzing-a-gui-program) Step-by-step quick start: -1. Compile the program or library to be fuzzed using `afl-cc`. A common way to +1. Compile the program or library to be fuzzed using `afl-cc`. A common way to do this would be: CC=/path/to/afl-cc CXX=/path/to/afl-c++ ./configure --disable-shared make clean all -2. Get a small but valid input file that makes sense to the program. When - fuzzing verbose syntax (SQL, HTTP, etc), create a dictionary as described in +2. Get a small but valid input file that makes sense to the program. When + fuzzing verbose syntax (SQL, HTTP, etc), create a dictionary as described in [dictionaries/README.md](dictionaries/README.md), too. 3. If the program reads from stdin, run `afl-fuzz` like so: @@ -96,51 +96,63 @@ Step-by-step quick start: To add a dictionary, add `-x /path/to/dictionary.txt` to afl-fuzz. - If the program takes input from a file, you can put `@@` in the program's + If the program takes input from a file, you can put `@@` in the program's command line; AFL will put an auto-generated file name in there for you. -4. Investigate anything shown in red in the fuzzer UI by promptly consulting +4. Investigate anything shown in red in the fuzzer UI by promptly consulting [docs/status_screen.md](docs/status_screen.md). -5. You will find found crashes and hangs in the subdirectories `crashes/` and - `hangs/` in the `-o output_dir` directory. You can replay the crashes by - feeding them to the target, e.g.: `cat output_dir/crashes/id:000000,* | - /path/to/tested/program [...program's cmdline...]` You can generate cores or +5. You will find found crashes and hangs in the subdirectories `crashes/` and + `hangs/` in the `-o output_dir` directory. You can replay the crashes by + feeding them to the target, e.g.: `cat output_dir/crashes/id:000000,* | + /path/to/tested/program [...program's cmdline...]` You can generate cores or use gdb directly to follow up the crashes. ## Contact Questions? Concerns? Bug reports? -* The contributors can be reached via +* The contributors can be reached via [https://github.com/AFLplusplus/AFLplusplus](https://github.com/AFLplusplus/AFLplusplus). -* Take a look at our [FAQ](docs/FAQ.md). If you find an interesting or - important question missing, submit it via +* Take a look at our [FAQ](docs/FAQ.md). If you find an interesting or + important question missing, submit it via [https://github.com/AFLplusplus/AFLplusplus/discussions](https://github.com/AFLplusplus/AFLplusplus/discussions). -* There is a mailing list for the AFL/AFL++ project - ([browse archive](https://groups.google.com/group/afl-users)). To compare - notes with other users or to get notified about major new features, send an +* There is a mailing list for the AFL/AFL++ project + ([browse archive](https://groups.google.com/group/afl-users)). To compare + notes with other users or to get notified about major new features, send an email to . * Or join the [Awesome Fuzzing](https://discord.gg/gCraWct) Discord server. +## Branches + +The following branches exist: + +* [release](https://github.com/AFLplusplus/AFLplusplus/tree/release): the latest release +* [stable/trunk](https://github.com/AFLplusplus/AFLplusplus/): stable state of AFL++ - it is synced from dev from time to time when we are satisfied with its stability +* [dev](https://github.com/AFLplusplus/AFLplusplus/tree/dev): development state of AFL++ - bleeding edge and you might catch a checkout which does not compile or has a bug. *We only accept PRs in dev!!* +* (any other): experimental branches to work on specific features or testing new functionality or changes. + +For releases, please see the [Releases tab](https://github.com/AFLplusplus/AFLplusplus/releases). +Also take a look at the list of [important changes in AFL++](docs/important_changes.md). + ## Help wanted -We have several [ideas](docs/ideas.md) we would like to see in AFL++ to make it -even better. However, we already work on so many things that we do not have the +We have several [ideas](docs/ideas.md) we would like to see in AFL++ to make it +even better. However, we already work on so many things that we do not have the time for all the big ideas. -This can be your way to support and contribute to AFL++ - extend it to do +This can be your way to support and contribute to AFL++ - extend it to do something cool. -For everyone who wants to contribute (and send pull requests), please read our +For everyone who wants to contribute (and send pull requests), please read our [contributing guidelines](CONTRIBUTING.md) before your submit. ## Special thanks -Many of the improvements to the original AFL and AFL++ wouldn't be possible +Many of the improvements to the original AFL and AFL++ wouldn't be possible without feedback, bug reports, or patches from our contributors. -Thank you! (For people sending pull requests - please add yourself to this list +Thank you! (For people sending pull requests - please add yourself to this list :-)
@@ -200,8 +212,8 @@ Thank you! (For people sending pull requests - please add yourself to this list ## Cite -If you use AFL++ in scientific work, consider citing -[our paper](https://www.usenix.org/conference/woot20/presentation/fioraldi) +If you use AFL++ in scientific work, consider citing +[our paper](https://www.usenix.org/conference/woot20/presentation/fioraldi) presented at WOOT'20: Andrea Fioraldi, Dominik Maier, Heiko Eißfeldt, and Marc Heuse. “AFL++: Combining incremental steps of fuzzing research”. In 14th USENIX Workshop on Offensive Technologies (WOOT 20). USENIX Association, Aug. 2020. diff --git a/docs/best_practices.md b/docs/best_practices.md index 5d07dd14..7016f08d 100644 --- a/docs/best_practices.md +++ b/docs/best_practices.md @@ -48,7 +48,7 @@ to emulate the network. This is also much faster than the real network would be. See [utils/socket_fuzzing/](../utils/socket_fuzzing/). There is an outdated AFL++ branch that implements networking if you are -desperate though: [https://github.com/AFLplusplus/AFLplusplus/tree/networking](https://github.com/AFLplusplus/AFLplusplus/tree/networking) - +desperate though: [https://github.com/AFLplusplus/AFLplusplus/tree/networking](https://github.com/AFLplusplus/AFLplusplus/tree/networking) - however a better option is AFLnet ([https://github.com/aflnet/aflnet](https://github.com/aflnet/aflnet)) which allows you to define network state with different type of data packets. @@ -62,7 +62,7 @@ which allows you to define network state with different type of data packets. 4. If you do not use shmem persistent mode, use `AFL_TMPDIR` to put the input file directory on a tempfs location, see [env_variables.md](env_variables.md). 5. Improve Linux kernel performance: modify `/etc/default/grub`, set `GRUB_CMDLINE_LINUX_DEFAULT="ibpb=off ibrs=off kpti=off l1tf=off mds=off mitigations=off no_stf_barrier noibpb noibrs nopcid nopti nospec_store_bypass_disable nospectre_v1 nospectre_v2 pcid=off pti=off spec_store_bypass_disable=off spectre_v2=off stf_barrier=off"`; then `update-grub` and `reboot` (warning: makes the system less secure). 6. Running on an `ext2` filesystem with `noatime` mount option will be a bit faster than on any other journaling filesystem. -7. Use your cores! [fuzzing_expert.md:b) Using multiple cores](fuzzing_expert.md#b-using-multiple-cores). +7. Use your cores ([fuzzing_in_depth.md:b) Using multiple cores](fuzzing_in_depth.md#b-using-multiple-cores))! ### Improving stability diff --git a/docs/branches.md b/docs/branches.md deleted file mode 100644 index ae147b08..00000000 --- a/docs/branches.md +++ /dev/null @@ -1,11 +0,0 @@ -# Branches - -The following branches exist: - -* [release](https://github.com/AFLplusplus/AFLplusplus/tree/release): the latest release -* [stable/trunk](https://github.com/AFLplusplus/AFLplusplus/): stable state of AFL++ - it is synced from dev from time to time when we are satisfied with its stability -* [dev](https://github.com/AFLplusplus/AFLplusplus/tree/dev): development state of AFL++ - bleeding edge and you might catch a checkout which does not compile or has a bug. *We only accept PRs in dev!!* -* (any other): experimental branches to work on specific features or testing new functionality or changes. - -For releases, please see the [Releases](https://github.com/AFLplusplus/AFLplusplus/releases) tab. -Also take a look at the list of [important changes in AFL++](important_changes.md). \ No newline at end of file diff --git a/docs/fuzzing_expert.md b/docs/fuzzing_expert.md deleted file mode 100644 index 876c5fbb..00000000 --- a/docs/fuzzing_expert.md +++ /dev/null @@ -1,630 +0,0 @@ -# Fuzzing with AFL++ - -The following describes how to fuzz with a target if source code is available. -If you have a binary-only target please skip to [#Instrumenting binary-only apps](#Instrumenting binary-only apps) - -Fuzzing source code is a three-step process. - -1. Compile the target with a special compiler that prepares the target to be - fuzzed efficiently. This step is called "instrumenting a target". -2. Prepare the fuzzing by selecting and optimizing the input corpus for the - target. -3. Perform the fuzzing of the target by randomly mutating input and assessing - if a generated input was processed in a new path in the target binary. - -### 1. Instrumenting that target - -#### a) Selecting the best AFL++ compiler for instrumenting the target - -AFL++ comes with a central compiler `afl-cc` that incorporates various different -kinds of compiler targets and and instrumentation options. -The following evaluation flow will help you to select the best possible. - -It is highly recommended to have the newest llvm version possible installed, -anything below 9 is not recommended. - -``` -+--------------------------------+ -| clang/clang++ 11+ is available | --> use LTO mode (afl-clang-lto/afl-clang-lto++) -+--------------------------------+ see [instrumentation/README.lto.md](instrumentation/README.lto.md) - | - | if not, or if the target fails with LTO afl-clang-lto/++ - | - v -+---------------------------------+ -| clang/clang++ 3.8+ is available | --> use LLVM mode (afl-clang-fast/afl-clang-fast++) -+---------------------------------+ see [instrumentation/README.llvm.md](instrumentation/README.llvm.md) - | - | if not, or if the target fails with LLVM afl-clang-fast/++ - | - v - +--------------------------------+ - | gcc 5+ is available | -> use GCC_PLUGIN mode (afl-gcc-fast/afl-g++-fast) - +--------------------------------+ see [instrumentation/README.gcc_plugin.md](instrumentation/README.gcc_plugin.md) and - [instrumentation/README.instrument_list.md](instrumentation/README.instrument_list.md) - | - | if not, or if you do not have a gcc with plugin support - | - v - use GCC mode (afl-gcc/afl-g++) (or afl-clang/afl-clang++ for clang) -``` - -Clickable README links for the chosen compiler: - - * [LTO mode - afl-clang-lto](../instrumentation/README.lto.md) - * [LLVM mode - afl-clang-fast](../instrumentation/README.llvm.md) - * [GCC_PLUGIN mode - afl-gcc-fast](../instrumentation/README.gcc_plugin.md) - * GCC/CLANG modes (afl-gcc/afl-clang) have no README as they have no own features - -You can select the mode for the afl-cc compiler by: - 1. use a symlink to afl-cc: afl-gcc, afl-g++, afl-clang, afl-clang++, - afl-clang-fast, afl-clang-fast++, afl-clang-lto, afl-clang-lto++, - afl-gcc-fast, afl-g++-fast (recommended!) - 2. using the environment variable AFL_CC_COMPILER with MODE - 3. passing --afl-MODE command line options to the compiler via CFLAGS/CXXFLAGS/CPPFLAGS - -MODE can be one of: LTO (afl-clang-lto*), LLVM (afl-clang-fast*), GCC_PLUGIN -(afl-g*-fast) or GCC (afl-gcc/afl-g++) or CLANG(afl-clang/afl-clang++). - -Because no AFL specific command-line options are accepted (beside the ---afl-MODE command), the compile-time tools make fairly broad use of environment -variables, which can be listed with `afl-cc -hh` or by reading [env_variables.md](env_variables.md). - -#### b) Selecting instrumentation options - -The following options are available when you instrument with LTO mode (afl-clang-fast/afl-clang-lto): - - * Splitting integer, string, float and switch comparisons so AFL++ can easier - solve these. This is an important option if you do not have a very good - and large input corpus. This technique is called laf-intel or COMPCOV. - To use this set the following environment variable before compiling the - target: `export AFL_LLVM_LAF_ALL=1` - You can read more about this in [instrumentation/README.laf-intel.md](../instrumentation/README.laf-intel.md) - * A different technique (and usually a better one than laf-intel) is to - instrument the target so that any compare values in the target are sent to - AFL++ which then tries to put these values into the fuzzing data at different - locations. This technique is very fast and good - if the target does not - transform input data before comparison. Therefore this technique is called - `input to state` or `redqueen`. - If you want to use this technique, then you have to compile the target - twice, once specifically with/for this mode by setting `AFL_LLVM_CMPLOG=1`, - and pass this binary to afl-fuzz via the `-c` parameter. - Note that you can compile also just a cmplog binary and use that for both - however there will be a performance penality. - You can read more about this in [instrumentation/README.cmplog.md](../instrumentation/README.cmplog.md) - -If you use LTO, LLVM or GCC_PLUGIN mode (afl-clang-fast/afl-clang-lto/afl-gcc-fast) -you have the option to selectively only instrument parts of the target that you -are interested in: - - * To instrument only those parts of the target that you are interested in - create a file with all the filenames of the source code that should be - instrumented. - For afl-clang-lto and afl-gcc-fast - or afl-clang-fast if a mode other than - DEFAULT/PCGUARD is used or you have llvm > 10.0.0 - just put one - filename or function per line (no directory information necessary for - filenames9, and either set `export AFL_LLVM_ALLOWLIST=allowlist.txt` **or** - `export AFL_LLVM_DENYLIST=denylist.txt` - depending on if you want per - default to instrument unless noted (DENYLIST) or not perform instrumentation - unless requested (ALLOWLIST). - **NOTE:** During optimization functions might be inlined and then would not match! - See [instrumentation/README.instrument_list.md](../instrumentation/README.instrument_list.md) - -There are many more options and modes available however these are most of the -time less effective. See: - * [instrumentation/README.ctx.md](../instrumentation/README.ctx.md) - * [instrumentation/README.ngram.md](../instrumentation/README.ngram.md) - -AFL++ performs "never zero" counting in its bitmap. You can read more about this -here: - * [instrumentation/README.neverzero.md](../instrumentation/README.neverzero.md) - -#### c) Sanitizers - -It is possible to use sanitizers when instrumenting targets for fuzzing, -which allows you to find bugs that would not necessarily result in a crash. - -Note that sanitizers have a huge impact on CPU (= less executions per second) -and RAM usage. Also you should only run one afl-fuzz instance per sanitizer type. -This is enough because a use-after-free bug will be picked up, e.g. by -ASAN (address sanitizer) anyway when syncing to other fuzzing instances, -so not all fuzzing instances need to be instrumented with ASAN. - -The following sanitizers have built-in support in AFL++: - * ASAN = Address SANitizer, finds memory corruption vulnerabilities like - use-after-free, NULL pointer dereference, buffer overruns, etc. - Enabled with `export AFL_USE_ASAN=1` before compiling. - * MSAN = Memory SANitizer, finds read access to uninitialized memory, eg. - a local variable that is defined and read before it is even set. - Enabled with `export AFL_USE_MSAN=1` before compiling. - * UBSAN = Undefined Behaviour SANitizer, finds instances where - by the - C and C++ standards - undefined behaviour happens, e.g. adding two - signed integers together where the result is larger than a signed integer - can hold. - Enabled with `export AFL_USE_UBSAN=1` before compiling. - * CFISAN = Control Flow Integrity SANitizer, finds instances where the - control flow is found to be illegal. Originally this was rather to - prevent return oriented programming exploit chains from functioning, - in fuzzing this is mostly reduced to detecting type confusion - vulnerabilities - which is however one of the most important and dangerous - C++ memory corruption classes! - Enabled with `export AFL_USE_CFISAN=1` before compiling. - * TSAN = Thread SANitizer, finds thread race conditions. - Enabled with `export AFL_USE_TSAN=1` before compiling. - * LSAN = Leak SANitizer, finds memory leaks in a program. This is not really - a security issue, but for developers this can be very valuable. - Note that unlike the other sanitizers above this needs - `__AFL_LEAK_CHECK();` added to all areas of the target source code where you - find a leak check necessary! - Enabled with `export AFL_USE_LSAN=1` before compiling. - -It is possible to further modify the behaviour of the sanitizers at run-time -by setting `ASAN_OPTIONS=...`, `LSAN_OPTIONS` etc. - the available parameters -can be looked up in the sanitizer documentation of llvm/clang. -afl-fuzz however requires some specific parameters important for fuzzing to be -set. If you want to set your own, it might bail and report what it is missing. - -Note that some sanitizers cannot be used together, e.g. ASAN and MSAN, and -others often cannot work together because of target weirdness, e.g. ASAN and -CFISAN. You might need to experiment which sanitizers you can combine in a -target (which means more instances can be run without a sanitized target, -which is more effective). - -#### d) Modify the target - -If the target has features that make fuzzing more difficult, e.g. -checksums, HMAC, etc. then modify the source code so that checks for these -values are removed. -This can even be done safely for source code used in operational products -by eliminating these checks within these AFL specific blocks: - -``` -#ifdef FUZZING_BUILD_MODE_UNSAFE_FOR_PRODUCTION - // say that the checksum or HMAC was fine - or whatever is required - // to eliminate the need for the fuzzer to guess the right checksum - return 0; -#endif -``` - -All AFL++ compilers will set this preprocessor definition automatically. - -#### e) Instrument the target - -In this step the target source code is compiled so that it can be fuzzed. - -Basically you have to tell the target build system that the selected AFL++ -compiler is used. Also - if possible - you should always configure the -build system such that the target is compiled statically and not dynamically. -How to do this is described below. - -The #1 rule when instrumenting a target is: avoid instrumenting shared -libraries at all cost. You would need to set LD_LIBRARY_PATH to point to -these, you could accidently type "make install" and install them system wide - -so don't. Really don't. -**Always compile libraries you want to have instrumented as static and link -these to the target program!** - -Then build the target. (Usually with `make`) - -**NOTES** - -1. sometimes configure and build systems are fickle and do not like - stderr output (and think this means a test failure) - which is something - AFL++ likes to do to show statistics. It is recommended to disable AFL++ - instrumentation reporting via `export AFL_QUIET=1`. - -2. sometimes configure and build systems error on warnings - these should be - disabled (e.g. `--disable-werror` for some configure scripts). - -3. in case the configure/build system complains about AFL++'s compiler and - aborts then set `export AFL_NOOPT=1` which will then just behave like the - real compiler. This option has to be unset again before building the target! - -##### configure - -For `configure` build systems this is usually done by: -`CC=afl-clang-fast CXX=afl-clang-fast++ ./configure --disable-shared` - -Note that if you are using the (better) afl-clang-lto compiler you also have to -set AR to llvm-ar[-VERSION] and RANLIB to llvm-ranlib[-VERSION] - as is -described in [instrumentation/README.lto.md](../instrumentation/README.lto.md). - -##### cmake - -For `cmake` build systems this is usually done by: -`mkdir build; cd build; cmake -DCMAKE_C_COMPILER=afl-cc -DCMAKE_CXX_COMPILER=afl-c++ ..` - -Note that if you are using the (better) afl-clang-lto compiler you also have to -set AR to llvm-ar[-VERSION] and RANLIB to llvm-ranlib[-VERSION] - as is -described in [instrumentation/README.lto.md](../instrumentation/README.lto.md). - -##### meson - -For meson you have to set the AFL++ compiler with the very first command! -`CC=afl-cc CXX=afl-c++ meson` - -##### other build systems or if configure/cmake didn't work - -Sometimes cmake and configure do not pick up the AFL++ compiler, or the -ranlib/ar that is needed - because this was just not foreseen by the developer -of the target. Or they have non-standard options. Figure out if there is a -non-standard way to set this, otherwise set up the build normally and edit the -generated build environment afterwards manually to point it to the right compiler -(and/or ranlib and ar). - -#### f) Better instrumentation - -If you just fuzz a target program as-is you are wasting a great opportunity for -much more fuzzing speed. - -This variant requires the usage of afl-clang-lto, afl-clang-fast or afl-gcc-fast. - -It is the so-called `persistent mode`, which is much, much faster but -requires that you code a source file that is specifically calling the target -functions that you want to fuzz, plus a few specific AFL++ functions around -it. See [instrumentation/README.persistent_mode.md](../instrumentation/README.persistent_mode.md) for details. - -Basically if you do not fuzz a target in persistent mode then you are just -doing it for a hobby and not professionally :-). - -#### g) libfuzzer fuzzer harnesses with LLVMFuzzerTestOneInput() - -libfuzzer `LLVMFuzzerTestOneInput()` harnesses are the defacto standard -for fuzzing, and they can be used with AFL++ (and honggfuzz) as well! -Compiling them is as simple as: -``` -afl-clang-fast++ -fsanitize=fuzzer -o harness harness.cpp targetlib.a -``` -You can even use advanced libfuzzer features like `FuzzedDataProvider`, -`LLVMFuzzerMutate()` etc. and they will work! - -The generated binary is fuzzed with afl-fuzz like any other fuzz target. - -Bonus: the target is already optimized for fuzzing due to persistent mode and -shared-memory testcases and hence gives you the fastest speed possible. - -For more information see [utils/aflpp_driver/README.md](../utils/aflpp_driver/README.md) - -### 2. Preparing the fuzzing campaign - -As you fuzz the target with mutated input, having as diverse inputs for the -target as possible improves the efficiency a lot. - -#### a) Collect inputs - -Try to gather valid inputs for the target from wherever you can. E.g. if it is -the PNG picture format try to find as many png files as possible, e.g. from -reported bugs, test suites, random downloads from the internet, unit test -case data - from all kind of PNG software. - -If the input format is not known, you can also modify a target program to write -normal data it receives and processes to a file and use these. - -#### b) Making the input corpus unique - -Use the AFL++ tool `afl-cmin` to remove inputs from the corpus that do not -produce a new path in the target. - -Put all files from step a) into one directory, e.g. INPUTS. - -If the target program is to be called by fuzzing as `bin/target -d INPUTFILE` -the run afl-cmin like this: -`afl-cmin -i INPUTS -o INPUTS_UNIQUE -- bin/target -d @@` -Note that the INPUTFILE argument that the target program would read from has to be set as `@@`. - -If the target reads from stdin instead, just omit the `@@` as this is the -default. - -This step is highly recommended! - -#### c) Minimizing all corpus files - -The shorter the input files that still traverse the same path -within the target, the better the fuzzing will be. This minimization -is done with `afl-tmin` however it is a long process as this has to -be done for every file: - -``` -mkdir input -cd INPUTS_UNIQUE -for i in *; do - afl-tmin -i "$i" -o "../input/$i" -- bin/target -d @@ -done -``` - -This step can also be parallelized, e.g. with `parallel`. -Note that this step is rather optional though. - -#### Done! - -The INPUTS_UNIQUE/ directory from step b) - or even better the directory input/ -if you minimized the corpus in step c) - is the resulting input corpus directory -to be used in fuzzing! :-) - -### 3. Fuzzing the target - -In this final step we fuzz the target. -There are not that many important options to run the target - unless you want -to use many CPU cores/threads for the fuzzing, which will make the fuzzing much -more useful. - -If you just use one CPU for fuzzing, then you are fuzzing just for fun and not -seriously :-) - -#### a) Running afl-fuzz - -Before you do even a test run of afl-fuzz execute `sudo afl-system-config` (on -the host if you execute afl-fuzz in a docker container). This reconfigures the -system for optimal speed - which afl-fuzz checks and bails otherwise. -Set `export AFL_SKIP_CPUFREQ=1` for afl-fuzz to skip this check if you cannot -run afl-system-config with root privileges on the host for whatever reason. - -Note there is also `sudo afl-persistent-config` which sets additional permanent -boot options for a much better fuzzing performance. - -Note that both scripts improve your fuzzing performance but also decrease your -system protection against attacks! So set strong firewall rules and only -expose SSH as a network service if you use these (which is highly recommended). - -If you have an input corpus from step 2 then specify this directory with the `-i` -option. Otherwise create a new directory and create a file with any content -as test data in there. - -If you do not want anything special, the defaults are already usually best, -hence all you need is to specify the seed input directory with the result of -step [2a. Collect inputs](#a-collect-inputs): -`afl-fuzz -i input -o output -- bin/target -d @@` -Note that the directory specified with -o will be created if it does not exist. - -It can be valuable to run afl-fuzz in a screen or tmux shell so you can log off, -or afl-fuzz is not aborted if you are running it in a remote ssh session where -the connection fails in between. -Only do that though once you have verified that your fuzzing setup works! -Simply run it like `screen -dmS afl-main -- afl-fuzz -M main-$HOSTNAME -i ...` -and it will start away in a screen session. To enter this session simply type -`screen -r afl-main`. You see - it makes sense to name the screen session -same as the afl-fuzz -M/-S naming :-) -For more information on screen or tmux please check their documentation. - -If you need to stop and re-start the fuzzing, use the same command line options -(or even change them by selecting a different power schedule or another -mutation mode!) and switch the input directory with a dash (`-`): -`afl-fuzz -i - -o output -- bin/target -d @@` - -Memory limits are not enforced by afl-fuzz by default and the system may run -out of memory. You can decrease the memory with the `-m` option, the value is -in MB. If this is too small for the target, you can usually see this by -afl-fuzz bailing with the message that it could not connect to the forkserver. - -Adding a dictionary is helpful. See the directory [dictionaries/](../dictionaries/) if -something is already included for your data format, and tell afl-fuzz to load -that dictionary by adding `-x dictionaries/FORMAT.dict`. With afl-clang-lto -you have an autodictionary generation for which you need to do nothing except -to use afl-clang-lto as the compiler. You also have the option to generate -a dictionary yourself, see [utils/libtokencap/README.md](../utils/libtokencap/README.md). - -afl-fuzz has a variety of options that help to workaround target quirks like -specific locations for the input file (`-f`), performing deterministic -fuzzing (`-D`) and many more. Check out `afl-fuzz -h`. - -We highly recommend that you set a memory limit for running the target with `-m` -which defines the maximum memory in MB. This prevents a potential -out-of-memory problem for your system plus helps you detect missing `malloc()` -failure handling in the target. -Play around with various -m values until you find one that safely works for all -your input seeds (if you have good ones and then double or quadrouple that. - -By default afl-fuzz never stops fuzzing. To terminate AFL++ simply press Control-C -or send a signal SIGINT. You can limit the number of executions or approximate runtime -in seconds with options also. - -When you start afl-fuzz you will see a user interface that shows what the status -is: -![resources/screenshot.png](resources/screenshot.png) - -All labels are explained in [status_screen.md](status_screen.md). - -#### b) Using multiple cores - -If you want to seriously fuzz then use as many cores/threads as possible to -fuzz your target. - -On the same machine - due to the design of how AFL++ works - there is a maximum -number of CPU cores/threads that are useful, use more and the overall performance -degrades instead. This value depends on the target, and the limit is between 32 -and 64 cores per machine. - -If you have the RAM, it is highly recommended run the instances with a caching -of the testcases. Depending on the average testcase size (and those found -during fuzzing) and their number, a value between 50-500MB is recommended. -You can set the cache size (in MB) by setting the environment variable `AFL_TESTCACHE_SIZE`. - -There should be one main fuzzer (`-M main-$HOSTNAME` option) and as many secondary -fuzzers (eg `-S variant1`) as you have cores that you use. -Every -M/-S entry needs a unique name (that can be whatever), however the same --o output directory location has to be used for all instances. - -For every secondary fuzzer there should be a variation, e.g.: - * one should fuzz the target that was compiled differently: with sanitizers - activated (`export AFL_USE_ASAN=1 ; export AFL_USE_UBSAN=1 ; - export AFL_USE_CFISAN=1`) - * one or two should fuzz the target with CMPLOG/redqueen (see above), at - least one cmplog instance should follow transformations (`-l AT`) - * one to three fuzzers should fuzz a target compiled with laf-intel/COMPCOV - (see above). Important note: If you run more than one laf-intel/COMPCOV - fuzzer and you want them to share their intermediate results, the main - fuzzer (`-M`) must be one of the them! (Although this is not really - recommended.) - -All other secondaries should be used like this: - * A quarter to a third with the MOpt mutator enabled: `-L 0` - * run with a different power schedule, recommended are: - `fast (default), explore, coe, lin, quad, exploit and rare` - which you can set with e.g. `-p explore` - * a few instances should use the old queue cycling with `-Z` - -Also it is recommended to set `export AFL_IMPORT_FIRST=1` to load testcases -from other fuzzers in the campaign first. - -If you have a large corpus, a corpus from a previous run or are fuzzing in -a CI, then also set `export AFL_CMPLOG_ONLY_NEW=1` and `export AFL_FAST_CAL=1`. - -You can also use different fuzzers. -If you are using AFL spinoffs or AFL conforming fuzzers, then just use the -same -o directory and give it a unique `-S` name. -Examples are: - * [Fuzzolic](https://github.com/season-lab/fuzzolic) - * [symcc](https://github.com/eurecom-s3/symcc/) - * [Eclipser](https://github.com/SoftSec-KAIST/Eclipser/) - * [AFLsmart](https://github.com/aflsmart/aflsmart) - * [FairFuzz](https://github.com/carolemieux/afl-rb) - * [Neuzz](https://github.com/Dongdongshe/neuzz) - * [Angora](https://github.com/AngoraFuzzer/Angora) - -A long list can be found at [https://github.com/Microsvuln/Awesome-AFL](https://github.com/Microsvuln/Awesome-AFL) - -However you can also sync AFL++ with honggfuzz, libfuzzer with `-entropic=1`, etc. -Just show the main fuzzer (-M) with the `-F` option where the queue/work -directory of a different fuzzer is, e.g. `-F /src/target/honggfuzz`. -Using honggfuzz (with `-n 1` or `-n 2`) and libfuzzer in parallel is highly -recommended! - -#### c) Using multiple machines for fuzzing - -Maybe you have more than one machine you want to fuzz the same target on. -Simply start the `afl-fuzz` (and perhaps libfuzzer, honggfuzz, ...) -orchestra as you like, just ensure that your have one and only one `-M` -instance per server, and that its name is unique, hence the recommendation -for `-M main-$HOSTNAME`. - -Now there are three strategies on how you can sync between the servers: - * never: sounds weird, but this makes every server an island and has the - chance the each follow different paths into the target. You can make - this even more interesting by even giving different seeds to each server. - * regularly (~4h): this ensures that all fuzzing campaigns on the servers - "see" the same thing. It is like fuzzing on a huge server. - * in intervals of 1/10th of the overall expected runtime of the fuzzing you - sync. This tries a bit to combine both. have some individuality of the - paths each campaign on a server explores, on the other hand if one - gets stuck where another found progress this is handed over making it - unstuck. - -The syncing process itself is very simple. -As the `-M main-$HOSTNAME` instance syncs to all `-S` secondaries as well -as to other fuzzers, you have to copy only this directory to the other -machines. - -Lets say all servers have the `-o out` directory in /target/foo/out, and -you created a file `servers.txt` which contains the hostnames of all -participating servers, plus you have an ssh key deployed to all of them, -then run: -```bash -for FROM in `cat servers.txt`; do - for TO in `cat servers.txt`; do - rsync -rlpogtz --rsh=ssh $FROM:/target/foo/out/main-$FROM $TO:target/foo/out/ - done -done -``` -You can run this manually, per cron job - as you need it. -There is a more complex and configurable script in `utils/distributed_fuzzing`. - -#### d) The status of the fuzz campaign - -AFL++ comes with the `afl-whatsup` script to show the status of the fuzzing -campaign. - -Just supply the directory that afl-fuzz is given with the -o option and -you will see a detailed status of every fuzzer in that campaign plus -a summary. - -To have only the summary use the `-s` switch e.g.: `afl-whatsup -s out/` - -If you have multiple servers then use the command after a sync, or you have -to execute this script per server. - -Another tool to inspect the current state and history of a specific instance -is afl-plot, which generates an index.html file and a graphs that show how -the fuzzing instance is performing. -The syntax is `afl-plot instance_dir web_dir`, e.g. `afl-plot out/default /srv/www/htdocs/plot` - -#### e) Stopping fuzzing, restarting fuzzing, adding new seeds - -To stop an afl-fuzz run, simply press Control-C. - -To restart an afl-fuzz run, just reuse the same command line but replace the -`-i directory` with `-i -` or set `AFL_AUTORESUME=1`. - -If you want to add new seeds to a fuzzing campaign you can run a temporary -fuzzing instance, e.g. when your main fuzzer is using `-o out` and the new -seeds are in `newseeds/` directory: -``` -AFL_BENCH_JUST_ONE=1 AFL_FAST_CAL=1 afl-fuzz -i newseeds -o out -S newseeds -- ./target -``` - -#### f) Checking the coverage of the fuzzing - -The `paths found` value is a bad indicator for checking how good the coverage is. - -A better indicator - if you use default llvm instrumentation with at least -version 9 - is to use `afl-showmap` with the collect coverage option `-C` on -the output directory: -``` -$ afl-showmap -C -i out -o /dev/null -- ./target -params @@ -... -[*] Using SHARED MEMORY FUZZING feature. -[*] Target map size: 9960 -[+] Processed 7849 input files. -[+] Captured 4331 tuples (highest value 255, total values 67130596) in '/dev/nul -l'. -[+] A coverage of 4331 edges were achieved out of 9960 existing (43.48%) with 7849 input files. -``` -It is even better to check out the exact lines of code that have been reached - -and which have not been found so far. - -An "easy" helper script for this is [https://github.com/vanhauser-thc/afl-cov](https://github.com/vanhauser-thc/afl-cov), -just follow the README of that separate project. - -If you see that an important area or a feature has not been covered so far then -try to find an input that is able to reach that and start a new secondary in -that fuzzing campaign with that seed as input, let it run for a few minutes, -then terminate it. The main node will pick it up and make it available to the -other secondary nodes over time. Set `export AFL_NO_AFFINITY=1` or -`export AFL_TRY_AFFINITY=1` if you have no free core. - -Note that in nearly all cases you can never reach full coverage. A lot of -functionality is usually dependent on exclusive options that would need individual -fuzzing campaigns each with one of these options set. E.g. if you fuzz a library to -convert image formats and your target is the png to tiff API then you will not -touch any of the other library APIs and features. - -#### g) How long to fuzz a target? - -This is a difficult question. -Basically if no new path is found for a long time (e.g. for a day or a week) -then you can expect that your fuzzing won't be fruitful anymore. -However often this just means that you should switch out secondaries for -others, e.g. custom mutator modules, sync to very different fuzzers, etc. - -Keep the queue/ directory (for future fuzzings of the same or similar targets) -and use them to seed other good fuzzers like libfuzzer with the -entropic -switch or honggfuzz. - -#### h) Improve the speed! - - * Use [persistent mode](../instrumentation/README.persistent_mode.md) (x2-x20 speed increase) - * If you do not use shmem persistent mode, use `AFL_TMPDIR` to point the input file on a tempfs location, see [env_variables.md](env_variables.md) - * Linux: Improve kernel performance: modify `/etc/default/grub`, set `GRUB_CMDLINE_LINUX_DEFAULT="ibpb=off ibrs=off kpti=off l1tf=off mds=off mitigations=off no_stf_barrier noibpb noibrs nopcid nopti nospec_store_bypass_disable nospectre_v1 nospectre_v2 pcid=off pti=off spec_store_bypass_disable=off spectre_v2=off stf_barrier=off"`; then `update-grub` and `reboot` (warning: makes the system more insecure) - you can also just run `sudo afl-persistent-config` - * Linux: Running on an `ext2` filesystem with `noatime` mount option will be a bit faster than on any other journaling filesystem - * Use your cores! [b) Using multiple cores](#b-using-multiple-cores) - * Run `sudo afl-system-config` before starting the first afl-fuzz instance after a reboot - -### The End - -Check out the [FAQ](FAQ.md) if it maybe answers your question (that -you might not even have known you had ;-) ). - -This is basically all you need to know to professionally run fuzzing campaigns. -If you want to know more, the tons of texts in [docs/](./) will have you covered. - -Note that there are also a lot of tools out there that help fuzzing with AFL++ -(some might be deprecated or unsupported), see [tools.md](tools.md). \ No newline at end of file diff --git a/docs/fuzzing_in_depth.md b/docs/fuzzing_in_depth.md new file mode 100644 index 00000000..5306cbef --- /dev/null +++ b/docs/fuzzing_in_depth.md @@ -0,0 +1,630 @@ +# Fuzzing with AFL++ + +The following describes how to fuzz with a target if source code is available. +If you have a binary-only target please skip to [#Instrumenting binary-only apps](#Instrumenting binary-only apps) + +Fuzzing source code is a three-step process. + +1. Compile the target with a special compiler that prepares the target to be + fuzzed efficiently. This step is called "instrumenting a target". +2. Prepare the fuzzing by selecting and optimizing the input corpus for the + target. +3. Perform the fuzzing of the target by randomly mutating input and assessing + if a generated input was processed in a new path in the target binary. + +### 1. Instrumenting that target + +#### a) Selecting the best AFL++ compiler for instrumenting the target + +AFL++ comes with a central compiler `afl-cc` that incorporates various different +kinds of compiler targets and and instrumentation options. +The following evaluation flow will help you to select the best possible. + +It is highly recommended to have the newest llvm version possible installed, +anything below 9 is not recommended. + +``` ++--------------------------------+ +| clang/clang++ 11+ is available | --> use LTO mode (afl-clang-lto/afl-clang-lto++) ++--------------------------------+ see [instrumentation/README.lto.md](instrumentation/README.lto.md) + | + | if not, or if the target fails with LTO afl-clang-lto/++ + | + v ++---------------------------------+ +| clang/clang++ 3.8+ is available | --> use LLVM mode (afl-clang-fast/afl-clang-fast++) ++---------------------------------+ see [instrumentation/README.llvm.md](instrumentation/README.llvm.md) + | + | if not, or if the target fails with LLVM afl-clang-fast/++ + | + v + +--------------------------------+ + | gcc 5+ is available | -> use GCC_PLUGIN mode (afl-gcc-fast/afl-g++-fast) + +--------------------------------+ see [instrumentation/README.gcc_plugin.md](instrumentation/README.gcc_plugin.md) and + [instrumentation/README.instrument_list.md](instrumentation/README.instrument_list.md) + | + | if not, or if you do not have a gcc with plugin support + | + v + use GCC mode (afl-gcc/afl-g++) (or afl-clang/afl-clang++ for clang) +``` + +Clickable README links for the chosen compiler: + + * [LTO mode - afl-clang-lto](../instrumentation/README.lto.md) + * [LLVM mode - afl-clang-fast](../instrumentation/README.llvm.md) + * [GCC_PLUGIN mode - afl-gcc-fast](../instrumentation/README.gcc_plugin.md) + * GCC/CLANG modes (afl-gcc/afl-clang) have no README as they have no own features + +You can select the mode for the afl-cc compiler by: + 1. use a symlink to afl-cc: afl-gcc, afl-g++, afl-clang, afl-clang++, + afl-clang-fast, afl-clang-fast++, afl-clang-lto, afl-clang-lto++, + afl-gcc-fast, afl-g++-fast (recommended!) + 2. using the environment variable AFL_CC_COMPILER with MODE + 3. passing --afl-MODE command line options to the compiler via CFLAGS/CXXFLAGS/CPPFLAGS + +MODE can be one of: LTO (afl-clang-lto*), LLVM (afl-clang-fast*), GCC_PLUGIN +(afl-g*-fast) or GCC (afl-gcc/afl-g++) or CLANG(afl-clang/afl-clang++). + +Because no AFL specific command-line options are accepted (beside the +--afl-MODE command), the compile-time tools make fairly broad use of environment +variables, which can be listed with `afl-cc -hh` or by reading [env_variables.md](env_variables.md). + +#### b) Selecting instrumentation options + +The following options are available when you instrument with LTO mode (afl-clang-fast/afl-clang-lto): + + * Splitting integer, string, float and switch comparisons so AFL++ can easier + solve these. This is an important option if you do not have a very good + and large input corpus. This technique is called laf-intel or COMPCOV. + To use this set the following environment variable before compiling the + target: `export AFL_LLVM_LAF_ALL=1` + You can read more about this in [instrumentation/README.laf-intel.md](../instrumentation/README.laf-intel.md) + * A different technique (and usually a better one than laf-intel) is to + instrument the target so that any compare values in the target are sent to + AFL++ which then tries to put these values into the fuzzing data at different + locations. This technique is very fast and good - if the target does not + transform input data before comparison. Therefore this technique is called + `input to state` or `redqueen`. + If you want to use this technique, then you have to compile the target + twice, once specifically with/for this mode by setting `AFL_LLVM_CMPLOG=1`, + and pass this binary to afl-fuzz via the `-c` parameter. + Note that you can compile also just a cmplog binary and use that for both + however there will be a performance penality. + You can read more about this in [instrumentation/README.cmplog.md](../instrumentation/README.cmplog.md) + +If you use LTO, LLVM or GCC_PLUGIN mode (afl-clang-fast/afl-clang-lto/afl-gcc-fast) +you have the option to selectively only instrument parts of the target that you +are interested in: + + * To instrument only those parts of the target that you are interested in + create a file with all the filenames of the source code that should be + instrumented. + For afl-clang-lto and afl-gcc-fast - or afl-clang-fast if a mode other than + DEFAULT/PCGUARD is used or you have llvm > 10.0.0 - just put one + filename or function per line (no directory information necessary for + filenames9, and either set `export AFL_LLVM_ALLOWLIST=allowlist.txt` **or** + `export AFL_LLVM_DENYLIST=denylist.txt` - depending on if you want per + default to instrument unless noted (DENYLIST) or not perform instrumentation + unless requested (ALLOWLIST). + **NOTE:** During optimization functions might be inlined and then would not match! + See [instrumentation/README.instrument_list.md](../instrumentation/README.instrument_list.md) + +There are many more options and modes available however these are most of the +time less effective. See: + * [instrumentation/README.ctx.md](../instrumentation/README.ctx.md) + * [instrumentation/README.ngram.md](../instrumentation/README.ngram.md) + +AFL++ performs "never zero" counting in its bitmap. You can read more about this +here: + * [instrumentation/README.neverzero.md](../instrumentation/README.neverzero.md) + +#### c) Sanitizers + +It is possible to use sanitizers when instrumenting targets for fuzzing, +which allows you to find bugs that would not necessarily result in a crash. + +Note that sanitizers have a huge impact on CPU (= less executions per second) +and RAM usage. Also you should only run one afl-fuzz instance per sanitizer type. +This is enough because a use-after-free bug will be picked up, e.g. by +ASAN (address sanitizer) anyway when syncing to other fuzzing instances, +so not all fuzzing instances need to be instrumented with ASAN. + +The following sanitizers have built-in support in AFL++: + * ASAN = Address SANitizer, finds memory corruption vulnerabilities like + use-after-free, NULL pointer dereference, buffer overruns, etc. + Enabled with `export AFL_USE_ASAN=1` before compiling. + * MSAN = Memory SANitizer, finds read access to uninitialized memory, eg. + a local variable that is defined and read before it is even set. + Enabled with `export AFL_USE_MSAN=1` before compiling. + * UBSAN = Undefined Behaviour SANitizer, finds instances where - by the + C and C++ standards - undefined behaviour happens, e.g. adding two + signed integers together where the result is larger than a signed integer + can hold. + Enabled with `export AFL_USE_UBSAN=1` before compiling. + * CFISAN = Control Flow Integrity SANitizer, finds instances where the + control flow is found to be illegal. Originally this was rather to + prevent return oriented programming exploit chains from functioning, + in fuzzing this is mostly reduced to detecting type confusion + vulnerabilities - which is however one of the most important and dangerous + C++ memory corruption classes! + Enabled with `export AFL_USE_CFISAN=1` before compiling. + * TSAN = Thread SANitizer, finds thread race conditions. + Enabled with `export AFL_USE_TSAN=1` before compiling. + * LSAN = Leak SANitizer, finds memory leaks in a program. This is not really + a security issue, but for developers this can be very valuable. + Note that unlike the other sanitizers above this needs + `__AFL_LEAK_CHECK();` added to all areas of the target source code where you + find a leak check necessary! + Enabled with `export AFL_USE_LSAN=1` before compiling. + +It is possible to further modify the behaviour of the sanitizers at run-time +by setting `ASAN_OPTIONS=...`, `LSAN_OPTIONS` etc. - the available parameters +can be looked up in the sanitizer documentation of llvm/clang. +afl-fuzz however requires some specific parameters important for fuzzing to be +set. If you want to set your own, it might bail and report what it is missing. + +Note that some sanitizers cannot be used together, e.g. ASAN and MSAN, and +others often cannot work together because of target weirdness, e.g. ASAN and +CFISAN. You might need to experiment which sanitizers you can combine in a +target (which means more instances can be run without a sanitized target, +which is more effective). + +#### d) Modify the target + +If the target has features that make fuzzing more difficult, e.g. +checksums, HMAC, etc. then modify the source code so that checks for these +values are removed. +This can even be done safely for source code used in operational products +by eliminating these checks within these AFL specific blocks: + +``` +#ifdef FUZZING_BUILD_MODE_UNSAFE_FOR_PRODUCTION + // say that the checksum or HMAC was fine - or whatever is required + // to eliminate the need for the fuzzer to guess the right checksum + return 0; +#endif +``` + +All AFL++ compilers will set this preprocessor definition automatically. + +#### e) Instrument the target + +In this step the target source code is compiled so that it can be fuzzed. + +Basically you have to tell the target build system that the selected AFL++ +compiler is used. Also - if possible - you should always configure the +build system such that the target is compiled statically and not dynamically. +How to do this is described below. + +The #1 rule when instrumenting a target is: avoid instrumenting shared +libraries at all cost. You would need to set LD_LIBRARY_PATH to point to +these, you could accidently type "make install" and install them system wide - +so don't. Really don't. +**Always compile libraries you want to have instrumented as static and link +these to the target program!** + +Then build the target. (Usually with `make`) + +**NOTES** + +1. sometimes configure and build systems are fickle and do not like + stderr output (and think this means a test failure) - which is something + AFL++ likes to do to show statistics. It is recommended to disable AFL++ + instrumentation reporting via `export AFL_QUIET=1`. + +2. sometimes configure and build systems error on warnings - these should be + disabled (e.g. `--disable-werror` for some configure scripts). + +3. in case the configure/build system complains about AFL++'s compiler and + aborts then set `export AFL_NOOPT=1` which will then just behave like the + real compiler. This option has to be unset again before building the target! + +##### configure + +For `configure` build systems this is usually done by: +`CC=afl-clang-fast CXX=afl-clang-fast++ ./configure --disable-shared` + +Note that if you are using the (better) afl-clang-lto compiler you also have to +set AR to llvm-ar[-VERSION] and RANLIB to llvm-ranlib[-VERSION] - as is +described in [instrumentation/README.lto.md](../instrumentation/README.lto.md). + +##### cmake + +For `cmake` build systems this is usually done by: +`mkdir build; cd build; cmake -DCMAKE_C_COMPILER=afl-cc -DCMAKE_CXX_COMPILER=afl-c++ ..` + +Note that if you are using the (better) afl-clang-lto compiler you also have to +set AR to llvm-ar[-VERSION] and RANLIB to llvm-ranlib[-VERSION] - as is +described in [instrumentation/README.lto.md](../instrumentation/README.lto.md). + +##### meson + +For meson you have to set the AFL++ compiler with the very first command! +`CC=afl-cc CXX=afl-c++ meson` + +##### other build systems or if configure/cmake didn't work + +Sometimes cmake and configure do not pick up the AFL++ compiler, or the +ranlib/ar that is needed - because this was just not foreseen by the developer +of the target. Or they have non-standard options. Figure out if there is a +non-standard way to set this, otherwise set up the build normally and edit the +generated build environment afterwards manually to point it to the right compiler +(and/or ranlib and ar). + +#### f) Better instrumentation + +If you just fuzz a target program as-is you are wasting a great opportunity for +much more fuzzing speed. + +This variant requires the usage of afl-clang-lto, afl-clang-fast or afl-gcc-fast. + +It is the so-called `persistent mode`, which is much, much faster but +requires that you code a source file that is specifically calling the target +functions that you want to fuzz, plus a few specific AFL++ functions around +it. See [instrumentation/README.persistent_mode.md](../instrumentation/README.persistent_mode.md) for details. + +Basically if you do not fuzz a target in persistent mode then you are just +doing it for a hobby and not professionally :-). + +#### g) libfuzzer fuzzer harnesses with LLVMFuzzerTestOneInput() + +libfuzzer `LLVMFuzzerTestOneInput()` harnesses are the defacto standard +for fuzzing, and they can be used with AFL++ (and honggfuzz) as well! +Compiling them is as simple as: +``` +afl-clang-fast++ -fsanitize=fuzzer -o harness harness.cpp targetlib.a +``` +You can even use advanced libfuzzer features like `FuzzedDataProvider`, +`LLVMFuzzerMutate()` etc. and they will work! + +The generated binary is fuzzed with afl-fuzz like any other fuzz target. + +Bonus: the target is already optimized for fuzzing due to persistent mode and +shared-memory testcases and hence gives you the fastest speed possible. + +For more information see [utils/aflpp_driver/README.md](../utils/aflpp_driver/README.md) + +### 2. Preparing the fuzzing campaign + +As you fuzz the target with mutated input, having as diverse inputs for the +target as possible improves the efficiency a lot. + +#### a) Collect inputs + +Try to gather valid inputs for the target from wherever you can. E.g. if it is +the PNG picture format try to find as many png files as possible, e.g. from +reported bugs, test suites, random downloads from the internet, unit test +case data - from all kind of PNG software. + +If the input format is not known, you can also modify a target program to write +normal data it receives and processes to a file and use these. + +#### b) Making the input corpus unique + +Use the AFL++ tool `afl-cmin` to remove inputs from the corpus that do not +produce a new path in the target. + +Put all files from step a) into one directory, e.g. INPUTS. + +If the target program is to be called by fuzzing as `bin/target -d INPUTFILE` +the run afl-cmin like this: +`afl-cmin -i INPUTS -o INPUTS_UNIQUE -- bin/target -d @@` +Note that the INPUTFILE argument that the target program would read from has to be set as `@@`. + +If the target reads from stdin instead, just omit the `@@` as this is the +default. + +This step is highly recommended! + +#### c) Minimizing all corpus files + +The shorter the input files that still traverse the same path +within the target, the better the fuzzing will be. This minimization +is done with `afl-tmin` however it is a long process as this has to +be done for every file: + +``` +mkdir input +cd INPUTS_UNIQUE +for i in *; do + afl-tmin -i "$i" -o "../input/$i" -- bin/target -d @@ +done +``` + +This step can also be parallelized, e.g. with `parallel`. +Note that this step is rather optional though. + +#### Done! + +The INPUTS_UNIQUE/ directory from step b) - or even better the directory input/ +if you minimized the corpus in step c) - is the resulting input corpus directory +to be used in fuzzing! :-) + +### 3. Fuzzing the target + +In this final step we fuzz the target. +There are not that many important options to run the target - unless you want +to use many CPU cores/threads for the fuzzing, which will make the fuzzing much +more useful. + +If you just use one CPU for fuzzing, then you are fuzzing just for fun and not +seriously :-) + +#### a) Running afl-fuzz + +Before you do even a test run of afl-fuzz execute `sudo afl-system-config` (on +the host if you execute afl-fuzz in a docker container). This reconfigures the +system for optimal speed - which afl-fuzz checks and bails otherwise. +Set `export AFL_SKIP_CPUFREQ=1` for afl-fuzz to skip this check if you cannot +run afl-system-config with root privileges on the host for whatever reason. + +Note there is also `sudo afl-persistent-config` which sets additional permanent +boot options for a much better fuzzing performance. + +Note that both scripts improve your fuzzing performance but also decrease your +system protection against attacks! So set strong firewall rules and only +expose SSH as a network service if you use these (which is highly recommended). + +If you have an input corpus from step 2 then specify this directory with the `-i` +option. Otherwise create a new directory and create a file with any content +as test data in there. + +If you do not want anything special, the defaults are already usually best, +hence all you need is to specify the seed input directory with the result of +step [2a. Collect inputs](#a-collect-inputs): +`afl-fuzz -i input -o output -- bin/target -d @@` +Note that the directory specified with -o will be created if it does not exist. + +It can be valuable to run afl-fuzz in a screen or tmux shell so you can log off, +or afl-fuzz is not aborted if you are running it in a remote ssh session where +the connection fails in between. +Only do that though once you have verified that your fuzzing setup works! +Simply run it like `screen -dmS afl-main -- afl-fuzz -M main-$HOSTNAME -i ...` +and it will start away in a screen session. To enter this session simply type +`screen -r afl-main`. You see - it makes sense to name the screen session +same as the afl-fuzz -M/-S naming :-) +For more information on screen or tmux please check their documentation. + +If you need to stop and re-start the fuzzing, use the same command line options +(or even change them by selecting a different power schedule or another +mutation mode!) and switch the input directory with a dash (`-`): +`afl-fuzz -i - -o output -- bin/target -d @@` + +Memory limits are not enforced by afl-fuzz by default and the system may run +out of memory. You can decrease the memory with the `-m` option, the value is +in MB. If this is too small for the target, you can usually see this by +afl-fuzz bailing with the message that it could not connect to the forkserver. + +Adding a dictionary is helpful. See the directory [dictionaries/](../dictionaries/) if +something is already included for your data format, and tell afl-fuzz to load +that dictionary by adding `-x dictionaries/FORMAT.dict`. With afl-clang-lto +you have an autodictionary generation for which you need to do nothing except +to use afl-clang-lto as the compiler. You also have the option to generate +a dictionary yourself, see [utils/libtokencap/README.md](../utils/libtokencap/README.md). + +afl-fuzz has a variety of options that help to workaround target quirks like +specific locations for the input file (`-f`), performing deterministic +fuzzing (`-D`) and many more. Check out `afl-fuzz -h`. + +We highly recommend that you set a memory limit for running the target with `-m` +which defines the maximum memory in MB. This prevents a potential +out-of-memory problem for your system plus helps you detect missing `malloc()` +failure handling in the target. +Play around with various -m values until you find one that safely works for all +your input seeds (if you have good ones and then double or quadrouple that. + +By default afl-fuzz never stops fuzzing. To terminate AFL++ simply press Control-C +or send a signal SIGINT. You can limit the number of executions or approximate runtime +in seconds with options also. + +When you start afl-fuzz you will see a user interface that shows what the status +is: +![resources/screenshot.png](resources/screenshot.png) + +All labels are explained in [status_screen.md](status_screen.md). + +#### b) Using multiple cores + +If you want to seriously fuzz then use as many cores/threads as possible to +fuzz your target. + +On the same machine - due to the design of how AFL++ works - there is a maximum +number of CPU cores/threads that are useful, use more and the overall performance +degrades instead. This value depends on the target, and the limit is between 32 +and 64 cores per machine. + +If you have the RAM, it is highly recommended run the instances with a caching +of the testcases. Depending on the average testcase size (and those found +during fuzzing) and their number, a value between 50-500MB is recommended. +You can set the cache size (in MB) by setting the environment variable `AFL_TESTCACHE_SIZE`. + +There should be one main fuzzer (`-M main-$HOSTNAME` option) and as many secondary +fuzzers (eg `-S variant1`) as you have cores that you use. +Every -M/-S entry needs a unique name (that can be whatever), however the same +-o output directory location has to be used for all instances. + +For every secondary fuzzer there should be a variation, e.g.: + * one should fuzz the target that was compiled differently: with sanitizers + activated (`export AFL_USE_ASAN=1 ; export AFL_USE_UBSAN=1 ; + export AFL_USE_CFISAN=1`) + * one or two should fuzz the target with CMPLOG/redqueen (see above), at + least one cmplog instance should follow transformations (`-l AT`) + * one to three fuzzers should fuzz a target compiled with laf-intel/COMPCOV + (see above). Important note: If you run more than one laf-intel/COMPCOV + fuzzer and you want them to share their intermediate results, the main + fuzzer (`-M`) must be one of the them! (Although this is not really + recommended.) + +All other secondaries should be used like this: + * A quarter to a third with the MOpt mutator enabled: `-L 0` + * run with a different power schedule, recommended are: + `fast (default), explore, coe, lin, quad, exploit and rare` + which you can set with e.g. `-p explore` + * a few instances should use the old queue cycling with `-Z` + +Also it is recommended to set `export AFL_IMPORT_FIRST=1` to load testcases +from other fuzzers in the campaign first. + +If you have a large corpus, a corpus from a previous run or are fuzzing in +a CI, then also set `export AFL_CMPLOG_ONLY_NEW=1` and `export AFL_FAST_CAL=1`. + +You can also use different fuzzers. +If you are using AFL spinoffs or AFL conforming fuzzers, then just use the +same -o directory and give it a unique `-S` name. +Examples are: + * [Fuzzolic](https://github.com/season-lab/fuzzolic) + * [symcc](https://github.com/eurecom-s3/symcc/) + * [Eclipser](https://github.com/SoftSec-KAIST/Eclipser/) + * [AFLsmart](https://github.com/aflsmart/aflsmart) + * [FairFuzz](https://github.com/carolemieux/afl-rb) + * [Neuzz](https://github.com/Dongdongshe/neuzz) + * [Angora](https://github.com/AngoraFuzzer/Angora) + +A long list can be found at [https://github.com/Microsvuln/Awesome-AFL](https://github.com/Microsvuln/Awesome-AFL) + +However you can also sync AFL++ with honggfuzz, libfuzzer with `-entropic=1`, etc. +Just show the main fuzzer (-M) with the `-F` option where the queue/work +directory of a different fuzzer is, e.g. `-F /src/target/honggfuzz`. +Using honggfuzz (with `-n 1` or `-n 2`) and libfuzzer in parallel is highly +recommended! + +#### c) Using multiple machines for fuzzing + +Maybe you have more than one machine you want to fuzz the same target on. +Simply start the `afl-fuzz` (and perhaps libfuzzer, honggfuzz, ...) +orchestra as you like, just ensure that your have one and only one `-M` +instance per server, and that its name is unique, hence the recommendation +for `-M main-$HOSTNAME`. + +Now there are three strategies on how you can sync between the servers: + * never: sounds weird, but this makes every server an island and has the + chance the each follow different paths into the target. You can make + this even more interesting by even giving different seeds to each server. + * regularly (~4h): this ensures that all fuzzing campaigns on the servers + "see" the same thing. It is like fuzzing on a huge server. + * in intervals of 1/10th of the overall expected runtime of the fuzzing you + sync. This tries a bit to combine both. have some individuality of the + paths each campaign on a server explores, on the other hand if one + gets stuck where another found progress this is handed over making it + unstuck. + +The syncing process itself is very simple. +As the `-M main-$HOSTNAME` instance syncs to all `-S` secondaries as well +as to other fuzzers, you have to copy only this directory to the other +machines. + +Lets say all servers have the `-o out` directory in /target/foo/out, and +you created a file `servers.txt` which contains the hostnames of all +participating servers, plus you have an ssh key deployed to all of them, +then run: +```bash +for FROM in `cat servers.txt`; do + for TO in `cat servers.txt`; do + rsync -rlpogtz --rsh=ssh $FROM:/target/foo/out/main-$FROM $TO:target/foo/out/ + done +done +``` +You can run this manually, per cron job - as you need it. +There is a more complex and configurable script in `utils/distributed_fuzzing`. + +#### d) The status of the fuzz campaign + +AFL++ comes with the `afl-whatsup` script to show the status of the fuzzing +campaign. + +Just supply the directory that afl-fuzz is given with the -o option and +you will see a detailed status of every fuzzer in that campaign plus +a summary. + +To have only the summary use the `-s` switch e.g.: `afl-whatsup -s out/` + +If you have multiple servers then use the command after a sync, or you have +to execute this script per server. + +Another tool to inspect the current state and history of a specific instance +is afl-plot, which generates an index.html file and a graphs that show how +the fuzzing instance is performing. +The syntax is `afl-plot instance_dir web_dir`, e.g. `afl-plot out/default /srv/www/htdocs/plot` + +#### e) Stopping fuzzing, restarting fuzzing, adding new seeds + +To stop an afl-fuzz run, simply press Control-C. + +To restart an afl-fuzz run, just reuse the same command line but replace the +`-i directory` with `-i -` or set `AFL_AUTORESUME=1`. + +If you want to add new seeds to a fuzzing campaign you can run a temporary +fuzzing instance, e.g. when your main fuzzer is using `-o out` and the new +seeds are in `newseeds/` directory: +``` +AFL_BENCH_JUST_ONE=1 AFL_FAST_CAL=1 afl-fuzz -i newseeds -o out -S newseeds -- ./target +``` + +#### f) Checking the coverage of the fuzzing + +The `paths found` value is a bad indicator for checking how good the coverage is. + +A better indicator - if you use default llvm instrumentation with at least +version 9 - is to use `afl-showmap` with the collect coverage option `-C` on +the output directory: +``` +$ afl-showmap -C -i out -o /dev/null -- ./target -params @@ +... +[*] Using SHARED MEMORY FUZZING feature. +[*] Target map size: 9960 +[+] Processed 7849 input files. +[+] Captured 4331 tuples (highest value 255, total values 67130596) in '/dev/nul +l'. +[+] A coverage of 4331 edges were achieved out of 9960 existing (43.48%) with 7849 input files. +``` +It is even better to check out the exact lines of code that have been reached - +and which have not been found so far. + +An "easy" helper script for this is [https://github.com/vanhauser-thc/afl-cov](https://github.com/vanhauser-thc/afl-cov), +just follow the README of that separate project. + +If you see that an important area or a feature has not been covered so far then +try to find an input that is able to reach that and start a new secondary in +that fuzzing campaign with that seed as input, let it run for a few minutes, +then terminate it. The main node will pick it up and make it available to the +other secondary nodes over time. Set `export AFL_NO_AFFINITY=1` or +`export AFL_TRY_AFFINITY=1` if you have no free core. + +Note that in nearly all cases you can never reach full coverage. A lot of +functionality is usually dependent on exclusive options that would need individual +fuzzing campaigns each with one of these options set. E.g. if you fuzz a library to +convert image formats and your target is the png to tiff API then you will not +touch any of the other library APIs and features. + +#### g) How long to fuzz a target? + +This is a difficult question. +Basically if no new path is found for a long time (e.g. for a day or a week) +then you can expect that your fuzzing won't be fruitful anymore. +However often this just means that you should switch out secondaries for +others, e.g. custom mutator modules, sync to very different fuzzers, etc. + +Keep the queue/ directory (for future fuzzings of the same or similar targets) +and use them to seed other good fuzzers like libfuzzer with the -entropic +switch or honggfuzz. + +#### h) Improve the speed! + + * Use [persistent mode](../instrumentation/README.persistent_mode.md) (x2-x20 speed increase) + * If you do not use shmem persistent mode, use `AFL_TMPDIR` to point the input file on a tempfs location, see [env_variables.md](env_variables.md) + * Linux: Improve kernel performance: modify `/etc/default/grub`, set `GRUB_CMDLINE_LINUX_DEFAULT="ibpb=off ibrs=off kpti=off l1tf=off mds=off mitigations=off no_stf_barrier noibpb noibrs nopcid nopti nospec_store_bypass_disable nospectre_v1 nospectre_v2 pcid=off pti=off spec_store_bypass_disable=off spectre_v2=off stf_barrier=off"`; then `update-grub` and `reboot` (warning: makes the system more insecure) - you can also just run `sudo afl-persistent-config` + * Linux: Running on an `ext2` filesystem with `noatime` mount option will be a bit faster than on any other journaling filesystem + * Use your cores! [b) Using multiple cores](#b-using-multiple-cores) + * Run `sudo afl-system-config` before starting the first afl-fuzz instance after a reboot + +### The End + +Check out the [FAQ](FAQ.md) if it maybe answers your question (that +you might not even have known you had ;-) ). + +This is basically all you need to know to professionally run fuzzing campaigns. +If you want to know more, the tons of texts in [docs/](./) will have you covered. + +Note that there are also a lot of tools out there that help fuzzing with AFL++ +(some might be deprecated or unsupported), see [third_party_tools.md](third_party_tools.md). \ No newline at end of file diff --git a/docs/known_limitations.md b/docs/known_limitations.md deleted file mode 100644 index a68c0a85..00000000 --- a/docs/known_limitations.md +++ /dev/null @@ -1,36 +0,0 @@ -# Known limitations & areas for improvement - -Here are some of the most important caveats for AFL: - - - AFL++ detects faults by checking for the first spawned process dying due to - a signal (SIGSEGV, SIGABRT, etc). Programs that install custom handlers for - these signals may need to have the relevant code commented out. In the same - vein, faults in child processes spawned by the fuzzed target may evade - detection unless you manually add some code to catch that. - - - As with any other brute-force tool, the fuzzer offers limited coverage if - encryption, checksums, cryptographic signatures, or compression are used to - wholly wrap the actual data format to be tested. - - To work around this, you can comment out the relevant checks (see - utils/libpng_no_checksum/ for inspiration); if this is not possible, - you can also write a postprocessor, one of the hooks of custom mutators. - See [custom_mutators.md](custom_mutators.md) on how to use - `AFL_CUSTOM_MUTATOR_LIBRARY` - - - There are some unfortunate trade-offs with ASAN and 64-bit binaries. This - isn't due to any specific fault of afl-fuzz. - - - There is no direct support for fuzzing network services, background - daemons, or interactive apps that require UI interaction to work. You may - need to make simple code changes to make them behave in a more traditional - way. Preeny may offer a relatively simple option, too - see: - [https://github.com/zardus/preeny](https://github.com/zardus/preeny) - - Some useful tips for modifying network-based services can be also found at: - [https://www.fastly.com/blog/how-to-fuzz-server-american-fuzzy-lop](https://www.fastly.com/blog/how-to-fuzz-server-american-fuzzy-lop) - - - Occasionally, sentient machines rise against their creators. If this - happens to you, please consult [https://lcamtuf.coredump.cx/prep/](https://lcamtuf.coredump.cx/prep/). - -Beyond this, see [INSTALL.md](INSTALL.md) for platform-specific tips. diff --git a/docs/limitations.md b/docs/limitations.md new file mode 100644 index 00000000..a68c0a85 --- /dev/null +++ b/docs/limitations.md @@ -0,0 +1,36 @@ +# Known limitations & areas for improvement + +Here are some of the most important caveats for AFL: + + - AFL++ detects faults by checking for the first spawned process dying due to + a signal (SIGSEGV, SIGABRT, etc). Programs that install custom handlers for + these signals may need to have the relevant code commented out. In the same + vein, faults in child processes spawned by the fuzzed target may evade + detection unless you manually add some code to catch that. + + - As with any other brute-force tool, the fuzzer offers limited coverage if + encryption, checksums, cryptographic signatures, or compression are used to + wholly wrap the actual data format to be tested. + + To work around this, you can comment out the relevant checks (see + utils/libpng_no_checksum/ for inspiration); if this is not possible, + you can also write a postprocessor, one of the hooks of custom mutators. + See [custom_mutators.md](custom_mutators.md) on how to use + `AFL_CUSTOM_MUTATOR_LIBRARY` + + - There are some unfortunate trade-offs with ASAN and 64-bit binaries. This + isn't due to any specific fault of afl-fuzz. + + - There is no direct support for fuzzing network services, background + daemons, or interactive apps that require UI interaction to work. You may + need to make simple code changes to make them behave in a more traditional + way. Preeny may offer a relatively simple option, too - see: + [https://github.com/zardus/preeny](https://github.com/zardus/preeny) + + Some useful tips for modifying network-based services can be also found at: + [https://www.fastly.com/blog/how-to-fuzz-server-american-fuzzy-lop](https://www.fastly.com/blog/how-to-fuzz-server-american-fuzzy-lop) + + - Occasionally, sentient machines rise against their creators. If this + happens to you, please consult [https://lcamtuf.coredump.cx/prep/](https://lcamtuf.coredump.cx/prep/). + +Beyond this, see [INSTALL.md](INSTALL.md) for platform-specific tips. diff --git a/docs/sister_projects.md b/docs/sister_projects.md deleted file mode 100644 index 613bc778..00000000 --- a/docs/sister_projects.md +++ /dev/null @@ -1,319 +0,0 @@ -# Sister projects - -This doc lists some of the projects that are inspired by, derived from, -designed for, or meant to integrate with AFL. See README.md for the general -instruction manual. - -!!! -!!! This list is outdated and needs an update, missing: e.g. Angora, FairFuzz -!!! - -## Support for other languages / environments: - -### Python AFL (Jakub Wilk) - -Allows fuzz-testing of Python programs. Uses custom instrumentation and its -own forkserver. - -https://jwilk.net/software/python-afl - -### Go-fuzz (Dmitry Vyukov) - -AFL-inspired guided fuzzing approach for Go targets: - -https://github.com/dvyukov/go-fuzz - -### afl.rs (Keegan McAllister) - -Allows Rust features to be easily fuzzed with AFL (using the LLVM mode). - -https://github.com/kmcallister/afl.rs - -### OCaml support (KC Sivaramakrishnan) - -Adds AFL-compatible instrumentation to OCaml programs. - -https://github.com/ocamllabs/opam-repo-dev/pull/23 -https://canopy.mirage.io/Posts/Fuzzing - -### AFL for GCJ Java and other GCC frontends (-) - -GCC Java programs are actually supported out of the box - simply rename -afl-gcc to afl-gcj. Unfortunately, by default, unhandled exceptions in GCJ do -not result in abort() being called, so you will need to manually add a -top-level exception handler that exits with SIGABRT or something equivalent. - -Other GCC-supported languages should be fairly easy to get working, but may -face similar problems. See https://gcc.gnu.org/frontends.html for a list of -options. - -## AFL-style in-process fuzzer for LLVM (Kostya Serebryany) - -Provides an evolutionary instrumentation-guided fuzzing harness that allows -some programs to be fuzzed without the fork / execve overhead. (Similar -functionality is now available as the "persistent" feature described in -[the llvm_mode readme](../instrumentation/README.llvm.md)) - -https://llvm.org/docs/LibFuzzer.html - -## TriforceAFL (Tim Newsham and Jesse Hertz) - -Leverages QEMU full system emulation mode to allow AFL to target operating -systems and other alien worlds: - -https://www.nccgroup.trust/us/about-us/newsroom-and-events/blog/2016/june/project-triforce-run-afl-on-everything/ - -## WinAFL (Ivan Fratric) - -As the name implies, allows you to fuzz Windows binaries (using DynamoRio). - -https://github.com/ivanfratric/winafl - -Another Windows alternative may be: - -https://github.com/carlosgprado/BrundleFuzz/ - -## Network fuzzing - -### Preeny (Yan Shoshitaishvili) - -Provides a fairly simple way to convince dynamically linked network-centric -programs to read from a file or not fork. Not AFL-specific, but described as -useful by many users. Some assembly required. - -https://github.com/zardus/preeny - -## Distributed fuzzing and related automation - -### roving (Richo Healey) - -A client-server architecture for effortlessly orchestrating AFL runs across -a fleet of machines. You don't want to use this on systems that face the -Internet or live in other untrusted environments. - -https://github.com/richo/roving - -### Distfuzz-AFL (Martijn Bogaard) - -Simplifies the management of afl-fuzz instances on remote machines. The -author notes that the current implementation isn't secure and should not -be exposed on the Internet. - -https://github.com/MartijnB/disfuzz-afl - -### AFLDFF (quantumvm) - -A nice GUI for managing AFL jobs. - -https://github.com/quantumvm/AFLDFF - -### afl-launch (Ben Nagy) - -Batch AFL launcher utility with a simple CLI. - -https://github.com/bnagy/afl-launch - -### AFL Utils (rc0r) - -Simplifies the triage of discovered crashes, start parallel instances, etc. - -https://github.com/rc0r/afl-utils - -### AFL crash analyzer (floyd) - -Another crash triage tool: - -https://github.com/floyd-fuh/afl-crash-analyzer - -### afl-extras (fekir) - -Collect data, parallel afl-tmin, startup scripts. - -https://github.com/fekir/afl-extras - -### afl-fuzzing-scripts (Tobias Ospelt) - -Simplifies starting up multiple parallel AFL jobs. - -https://github.com/floyd-fuh/afl-fuzzing-scripts/ - -### afl-sid (Jacek Wielemborek) - -Allows users to more conveniently build and deploy AFL via Docker. - -https://github.com/d33tah/afl-sid - -Another Docker-related project: - -https://github.com/ozzyjohnson/docker-afl - -### afl-monitor (Paul S. Ziegler) - -Provides more detailed and versatile statistics about your running AFL jobs. - -https://github.com/reflare/afl-monitor - -### FEXM (Security in Telecommunications) - -Fully automated fuzzing framework, based on AFL - -https://github.com/fgsect/fexm - -## Crash triage, coverage analysis, and other companion tools: - -### afl-crash-analyzer (Tobias Ospelt) - -Makes it easier to navigate and annotate crashing test cases. - -https://github.com/floyd-fuh/afl-crash-analyzer/ - -### Crashwalk (Ben Nagy) - -AFL-aware tool to annotate and sort through crashing test cases. - -https://github.com/bnagy/crashwalk - -### afl-cov (Michael Rash) - -Produces human-readable coverage data based on the output queue of afl-fuzz. - -https://github.com/mrash/afl-cov - -### afl-sancov (Bhargava Shastry) - -Similar to afl-cov, but uses clang sanitizer instrumentation. - -https://github.com/bshastry/afl-sancov - -### RecidiVM (Jakub Wilk) - -Makes it easy to estimate memory usage limits when fuzzing with ASAN or MSAN. - -https://jwilk.net/software/recidivm - -### aflize (Jacek Wielemborek) - -Automatically build AFL-enabled versions of Debian packages. - -https://github.com/d33tah/aflize - -### afl-ddmin-mod (Markus Teufelberger) - -A variant of afl-tmin that uses a more sophisticated (but slower) -minimization algorithm. - -https://github.com/MarkusTeufelberger/afl-ddmin-mod - -### afl-kit (Kuang-che Wu) - -Replacements for afl-cmin and afl-tmin with additional features, such -as the ability to filter crashes based on stderr patterns. - -https://github.com/kcwu/afl-kit - -## Narrow-purpose or experimental: - -### Cygwin support (Ali Rizvi-Santiago) - -Pretty self-explanatory. As per the author, this "mostly" ports AFL to -Windows. Field reports welcome! - -https://github.com/arizvisa/afl-cygwin - -### Pause and resume scripts (Ben Nagy) - -Simple automation to suspend and resume groups of fuzzing jobs. - -https://github.com/bnagy/afl-trivia - -### Static binary-only instrumentation (Aleksandar Nikolich) - -Allows black-box binaries to be instrumented statically (i.e., by modifying -the binary ahead of the time, rather than translating it on the run). Author -reports better performance compared to QEMU, but occasional translation -errors with stripped binaries. - -https://github.com/vanhauser-thc/afl-dyninst - -### AFL PIN (Parker Thompson) - -Early-stage Intel PIN instrumentation support (from before we settled on -faster-running QEMU). - -https://github.com/mothran/aflpin - -### AFL-style instrumentation in llvm (Kostya Serebryany) - -Allows AFL-equivalent instrumentation to be injected at compiler level. -This is currently not supported by AFL as-is, but may be useful in other -projects. - -https://code.google.com/p/address-sanitizer/wiki/AsanCoverage#Coverage_counters - -### AFL JS (Han Choongwoo) - -One-off optimizations to speed up the fuzzing of JavaScriptCore (now likely -superseded by LLVM deferred forkserver init - see README.llvm.md). - -https://github.com/tunz/afl-fuzz-js - -### AFL harness for fwknop (Michael Rash) - -An example of a fairly involved integration with AFL. - -https://github.com/mrash/fwknop/tree/master/test/afl - -### Building harnesses for DNS servers (Jonathan Foote, Ron Bowes) - -Two articles outlining the general principles and showing some example code. - -https://www.fastly.com/blog/how-to-fuzz-server-american-fuzzy-lop -https://goo.gl/j9EgFf - -### Fuzzer shell for SQLite (Richard Hipp) - -A simple SQL shell designed specifically for fuzzing the underlying library. - -https://www.sqlite.org/src/artifact/9e7e273da2030371 - -### Support for Python mutation modules (Christian Holler) - -now integrated in AFL++, originally from here -https://github.com/choller/afl/blob/master/docs/mozilla/python_modules.txt - -### Support for selective instrumentation (Christian Holler) - -now integrated in AFL++, originally from here -https://github.com/choller/afl/blob/master/docs/mozilla/partial_instrumentation.txt - -### Syzkaller (Dmitry Vyukov) - -A similar guided approach as applied to fuzzing syscalls: - -https://github.com/google/syzkaller/wiki/Found-Bugs -https://github.com/dvyukov/linux/commit/33787098ffaaa83b8a7ccf519913ac5fd6125931 -https://events.linuxfoundation.org/sites/events/files/slides/AFL%20filesystem%20fuzzing%2C%20Vault%202016_0.pdf - - -### Kernel Snapshot Fuzzing using Unicornafl (Security in Telecommunications) - -https://github.com/fgsect/unicorefuzz - -### Android support (ele7enxxh) - -Based on a somewhat dated version of AFL: - -https://github.com/ele7enxxh/android-afl - -### CGI wrapper (floyd) - -Facilitates the testing of CGI scripts. - -https://github.com/floyd-fuh/afl-cgi-wrapper - -### Fuzzing difficulty estimation (Marcel Boehme) - -A fork of AFL that tries to quantify the likelihood of finding additional -paths or crashes at any point in a fuzzing job. - -https://github.com/mboehme/pythia diff --git a/docs/third_party_tools.md b/docs/third_party_tools.md new file mode 100644 index 00000000..ba96d0ce --- /dev/null +++ b/docs/third_party_tools.md @@ -0,0 +1,33 @@ +# Tools that help fuzzing with AFL++ + +Speeding up fuzzing: + * [libfiowrapper](https://github.com/marekzmyslowski/libfiowrapper) - if the function you want to fuzz requires loading a file, this allows using the shared memory testcase feature :-) - recommended. + +Minimization of test cases: + * [afl-pytmin](https://github.com/ilsani/afl-pytmin) - a wrapper for afl-tmin that tries to speed up the process of minimization of a single test case by using many CPU cores. + * [afl-ddmin-mod](https://github.com/MarkusTeufelberger/afl-ddmin-mod) - a variation of afl-tmin based on the ddmin algorithm. + * [halfempty](https://github.com/googleprojectzero/halfempty) - is a fast utility for minimizing test cases by Tavis Ormandy based on parallelization. + +Distributed execution: + * [disfuzz-afl](https://github.com/MartijnB/disfuzz-afl) - distributed fuzzing for AFL. + * [AFLDFF](https://github.com/quantumvm/AFLDFF) - AFL distributed fuzzing framework. + * [afl-launch](https://github.com/bnagy/afl-launch) - a tool for the execution of many AFL instances. + * [afl-mothership](https://github.com/afl-mothership/afl-mothership) - management and execution of many synchronized AFL fuzzers on AWS cloud. + * [afl-in-the-cloud](https://github.com/abhisek/afl-in-the-cloud) - another script for running AFL in AWS. + +Deployment, management, monitoring, reporting + * [afl-utils](https://gitlab.com/rc0r/afl-utils) - a set of utilities for automatic processing/analysis of crashes and reducing the number of test cases. + * [afl-other-arch](https://github.com/shellphish/afl-other-arch) - is a set of patches and scripts for easily adding support for various non-x86 architectures for AFL. + * [afl-trivia](https://github.com/bnagy/afl-trivia) - a few small scripts to simplify the management of AFL. + * [afl-monitor](https://github.com/reflare/afl-monitor) - a script for monitoring AFL. + * [afl-manager](https://github.com/zx1340/afl-manager) - a web server on Python for managing multi-afl. + * [afl-remote](https://github.com/block8437/afl-remote) - a web server for the remote management of AFL instances. + * [afl-extras](https://github.com/fekir/afl-extras) - shell scripts to parallelize afl-tmin, startup, and data collection. + +Crash processing + * [afl-crash-analyzer](https://github.com/floyd-fuh/afl-crash-analyzer) - another crash analyzer for AFL. + * [fuzzer-utils](https://github.com/ThePatrickStar/fuzzer-utils) - a set of scripts for the analysis of results. + * [atriage](https://github.com/Ayrx/atriage) - a simple triage tool. + * [afl-kit](https://github.com/kcwu/afl-kit) - afl-cmin on Python. + * [AFLize](https://github.com/d33tah/aflize) - a tool that automatically generates builds of debian packages suitable for AFL. + * [afl-fid](https://github.com/FoRTE-Research/afl-fid) - a set of tools for working with input data. \ No newline at end of file diff --git a/docs/tools.md b/docs/tools.md deleted file mode 100644 index ba96d0ce..00000000 --- a/docs/tools.md +++ /dev/null @@ -1,33 +0,0 @@ -# Tools that help fuzzing with AFL++ - -Speeding up fuzzing: - * [libfiowrapper](https://github.com/marekzmyslowski/libfiowrapper) - if the function you want to fuzz requires loading a file, this allows using the shared memory testcase feature :-) - recommended. - -Minimization of test cases: - * [afl-pytmin](https://github.com/ilsani/afl-pytmin) - a wrapper for afl-tmin that tries to speed up the process of minimization of a single test case by using many CPU cores. - * [afl-ddmin-mod](https://github.com/MarkusTeufelberger/afl-ddmin-mod) - a variation of afl-tmin based on the ddmin algorithm. - * [halfempty](https://github.com/googleprojectzero/halfempty) - is a fast utility for minimizing test cases by Tavis Ormandy based on parallelization. - -Distributed execution: - * [disfuzz-afl](https://github.com/MartijnB/disfuzz-afl) - distributed fuzzing for AFL. - * [AFLDFF](https://github.com/quantumvm/AFLDFF) - AFL distributed fuzzing framework. - * [afl-launch](https://github.com/bnagy/afl-launch) - a tool for the execution of many AFL instances. - * [afl-mothership](https://github.com/afl-mothership/afl-mothership) - management and execution of many synchronized AFL fuzzers on AWS cloud. - * [afl-in-the-cloud](https://github.com/abhisek/afl-in-the-cloud) - another script for running AFL in AWS. - -Deployment, management, monitoring, reporting - * [afl-utils](https://gitlab.com/rc0r/afl-utils) - a set of utilities for automatic processing/analysis of crashes and reducing the number of test cases. - * [afl-other-arch](https://github.com/shellphish/afl-other-arch) - is a set of patches and scripts for easily adding support for various non-x86 architectures for AFL. - * [afl-trivia](https://github.com/bnagy/afl-trivia) - a few small scripts to simplify the management of AFL. - * [afl-monitor](https://github.com/reflare/afl-monitor) - a script for monitoring AFL. - * [afl-manager](https://github.com/zx1340/afl-manager) - a web server on Python for managing multi-afl. - * [afl-remote](https://github.com/block8437/afl-remote) - a web server for the remote management of AFL instances. - * [afl-extras](https://github.com/fekir/afl-extras) - shell scripts to parallelize afl-tmin, startup, and data collection. - -Crash processing - * [afl-crash-analyzer](https://github.com/floyd-fuh/afl-crash-analyzer) - another crash analyzer for AFL. - * [fuzzer-utils](https://github.com/ThePatrickStar/fuzzer-utils) - a set of scripts for the analysis of results. - * [atriage](https://github.com/Ayrx/atriage) - a simple triage tool. - * [afl-kit](https://github.com/kcwu/afl-kit) - afl-cmin on Python. - * [AFLize](https://github.com/d33tah/aflize) - a tool that automatically generates builds of debian packages suitable for AFL. - * [afl-fid](https://github.com/FoRTE-Research/afl-fid) - a set of tools for working with input data. \ No newline at end of file -- cgit 1.4.1 From 36514a2e4facfc9b9c1184259cb99a1c0d0ec2df Mon Sep 17 00:00:00 2001 From: llzmb <46303940+llzmb@users.noreply.github.com> Date: Sun, 21 Nov 2021 15:42:46 +0100 Subject: Merge "binaryonly_fuzzing.md" into "fuzzing_binary-only_targets.md" --- docs/binaryonly_fuzzing.md | 225 ---------------------------- docs/fuzzing_binary-only_targets.md | 289 ++++++++++++++++++++++++++++++------ 2 files changed, 244 insertions(+), 270 deletions(-) delete mode 100644 docs/binaryonly_fuzzing.md (limited to 'docs') diff --git a/docs/binaryonly_fuzzing.md b/docs/binaryonly_fuzzing.md deleted file mode 100644 index 2c0872cf..00000000 --- a/docs/binaryonly_fuzzing.md +++ /dev/null @@ -1,225 +0,0 @@ -# Fuzzing binary-only programs with AFL++ - - AFL++, libfuzzer and others are great if you have the source code, and - it allows for very fast and coverage guided fuzzing. - - However, if there is only the binary program and no source code available, - then standard `afl-fuzz -n` (non-instrumented mode) is not effective. - - The following is a description of how these binaries can be fuzzed with AFL++. - - -## TL;DR: - - qemu_mode in persistent mode is the fastest - if the stability is - high enough. Otherwise try retrowrite, afl-dyninst and if these - fail too then try standard qemu_mode with AFL_ENTRYPOINT to where you need it. - - If your target is a library use utils/afl_frida/. - - If your target is non-linux then use unicorn_mode/. - - -## QEMU - - Qemu is the "native" solution to the program. - It is available in the ./qemu_mode/ directory and once compiled it can - be accessed by the afl-fuzz -Q command line option. - It is the easiest to use alternative and even works for cross-platform binaries. - - The speed decrease is at about 50%. - However various options exist to increase the speed: - - using AFL_ENTRYPOINT to move the forkserver entry to a later basic block in - the binary (+5-10% speed) - - using persistent mode [qemu_mode/README.persistent.md](../qemu_mode/README.persistent.md) - this will result in 150-300% overall speed increase - so 3-8x the original - qemu_mode speed! - - using AFL_CODE_START/AFL_CODE_END to only instrument specific parts - - Note that there is also honggfuzz: [https://github.com/google/honggfuzz](https://github.com/google/honggfuzz) - which now has a qemu_mode, but its performance is just 1.5% ... - - As it is included in AFL++ this needs no URL. - - If you like to code a customized fuzzer without much work, we highly - recommend to check out our sister project libafl which will support QEMU - too: - [https://github.com/AFLplusplus/LibAFL](https://github.com/AFLplusplus/LibAFL) - - -## AFL FRIDA - - In frida_mode you can fuzz binary-only targets easily like with QEMU, - with the advantage that frida_mode also works on MacOS (both intel and M1). - - If you want to fuzz a binary-only library then you can fuzz it with - frida-gum via utils/afl_frida/, you will have to write a harness to - call the target function in the library, use afl-frida.c as a template. - - Both come with AFL++ so this needs no URL. - - You can also perform remote fuzzing with frida, e.g. if you want to fuzz - on iPhone or Android devices, for this you can use - [https://github.com/ttdennis/fpicker/](https://github.com/ttdennis/fpicker/) - as an intermediate that uses AFL++ for fuzzing. - - If you like to code a customized fuzzer without much work, we highly - recommend to check out our sister project libafl which supports Frida too: - [https://github.com/AFLplusplus/LibAFL](https://github.com/AFLplusplus/LibAFL) - Working examples already exist :-) - - -## WINE+QEMU - - Wine mode can run Win32 PE binaries with the QEMU instrumentation. - It needs Wine, python3 and the pefile python package installed. - - As it is included in AFL++ this needs no URL. - - -## UNICORN - - Unicorn is a fork of QEMU. The instrumentation is, therefore, very similar. - In contrast to QEMU, Unicorn does not offer a full system or even userland - emulation. Runtime environment and/or loaders have to be written from scratch, - if needed. On top, block chaining has been removed. This means the speed boost - introduced in the patched QEMU Mode of AFL++ cannot simply be ported over to - Unicorn. For further information, check out [unicorn_mode/README.md](../unicorn_mode/README.md). - - As it is included in AFL++ this needs no URL. - - -## AFL UNTRACER - - If you want to fuzz a binary-only shared library then you can fuzz it with - utils/afl_untracer/, use afl-untracer.c as a template. - It is slower than AFL FRIDA (see above). - - -## ZAFL - ZAFL is a static rewriting platform supporting x86-64 C/C++, stripped/unstripped, - and PIE/non-PIE binaries. Beyond conventional instrumentation, ZAFL's API enables - transformation passes (e.g., laf-Intel, context sensitivity, InsTrim, etc.). - - Its baseline instrumentation speed typically averages 90-95% of afl-clang-fast's. - - [https://git.zephyr-software.com/opensrc/zafl](https://git.zephyr-software.com/opensrc/zafl) - - -## DYNINST - - Dyninst is a binary instrumentation framework similar to Pintool and - Dynamorio (see far below). However whereas Pintool and Dynamorio work at - runtime, dyninst instruments the target at load time, and then let it run - - or save the binary with the changes. - This is great for some things, e.g. fuzzing, and not so effective for others, - e.g. malware analysis. - - So what we can do with dyninst is taking every basic block, and put afl's - instrumention code in there - and then save the binary. - Afterwards we can just fuzz the newly saved target binary with afl-fuzz. - Sounds great? It is. The issue though - it is a non-trivial problem to - insert instructions, which change addresses in the process space, so that - everything is still working afterwards. Hence more often than not binaries - crash when they are run. - - The speed decrease is about 15-35%, depending on the optimization options - used with afl-dyninst. - - [https://github.com/vanhauser-thc/afl-dyninst](https://github.com/vanhauser-thc/afl-dyninst) - - -## RETROWRITE - - If you have an x86/x86_64 binary that still has its symbols, is compiled - with position independant code (PIC/PIE) and does not use most of the C++ - features then the retrowrite solution might be for you. - It decompiles to ASM files which can then be instrumented with afl-gcc. - - It is at about 80-85% performance. - - [https://github.com/HexHive/retrowrite](https://github.com/HexHive/retrowrite) - - -## MCSEMA - - Theoretically you can also decompile to llvm IR with mcsema, and then - use llvm_mode to instrument the binary. - Good luck with that. - - [https://github.com/lifting-bits/mcsema](https://github.com/lifting-bits/mcsema) - - -## INTEL-PT - - If you have a newer Intel CPU, you can make use of Intels processor trace. - The big issue with Intel's PT is the small buffer size and the complex - encoding of the debug information collected through PT. - This makes the decoding very CPU intensive and hence slow. - As a result, the overall speed decrease is about 70-90% (depending on - the implementation and other factors). - - There are two AFL intel-pt implementations: - - 1. [https://github.com/junxzm1990/afl-pt](https://github.com/junxzm1990/afl-pt) - => this needs Ubuntu 14.04.05 without any updates and the 4.4 kernel. - - 2. [https://github.com/hunter-ht-2018/ptfuzzer](https://github.com/hunter-ht-2018/ptfuzzer) - => this needs a 4.14 or 4.15 kernel. the "nopti" kernel boot option must - be used. This one is faster than the other. - - Note that there is also honggfuzz: https://github.com/google/honggfuzz - But its IPT performance is just 6%! - - -## CORESIGHT - - Coresight is ARM's answer to Intel's PT. - With afl++ v3.15 there is a coresight tracer implementation available in - `coresight_mode/` which is faster than QEMU, however can not run in parallel. - Currently only one process can be traced, it is WIP. - - -## PIN & DYNAMORIO - - Pintool and Dynamorio are dynamic instrumentation engines, and they can be - used for getting basic block information at runtime. - Pintool is only available for Intel x32/x64 on Linux, Mac OS and Windows, - whereas Dynamorio is additionally available for ARM and AARCH64. - Dynamorio is also 10x faster than Pintool. - - The big issue with Dynamorio (and therefore Pintool too) is speed. - Dynamorio has a speed decrease of 98-99% - Pintool has a speed decrease of 99.5% - - Hence Dynamorio is the option to go for if everything else fails, and Pintool - only if Dynamorio fails too. - - Dynamorio solutions: - * [https://github.com/vanhauser-thc/afl-dynamorio](https://github.com/vanhauser-thc/afl-dynamorio) - * [https://github.com/mxmssh/drAFL](https://github.com/mxmssh/drAFL) - * [https://github.com/googleprojectzero/winafl/](https://github.com/googleprojectzero/winafl/) <= very good but windows only - - Pintool solutions: - * [https://github.com/vanhauser-thc/afl-pin](https://github.com/vanhauser-thc/afl-pin) - * [https://github.com/mothran/aflpin](https://github.com/mothran/aflpin) - * [https://github.com/spinpx/afl_pin_mode](https://github.com/spinpx/afl_pin_mode) <= only old Pintool version supported - - -## Non-AFL solutions - - There are many binary-only fuzzing frameworks. - Some are great for CTFs but don't work with large binaries, others are very - slow but have good path discovery, some are very hard to set-up ... - - * QSYM: [https://github.com/sslab-gatech/qsym](https://github.com/sslab-gatech/qsym) - * Manticore: [https://github.com/trailofbits/manticore](https://github.com/trailofbits/manticore) - * S2E: [https://github.com/S2E](https://github.com/S2E) - * Tinyinst: [https://github.com/googleprojectzero/TinyInst](https://github.com/googleprojectzero/TinyInst) (Mac/Windows only) - * Jackalope: [https://github.com/googleprojectzero/Jackalope](https://github.com/googleprojectzero/Jackalope) - * ... please send me any missing that are good - - -## Closing words - - That's it! News, corrections, updates? Send an email to vh@thc.org diff --git a/docs/fuzzing_binary-only_targets.md b/docs/fuzzing_binary-only_targets.md index ea262f6e..0b39042f 100644 --- a/docs/fuzzing_binary-only_targets.md +++ b/docs/fuzzing_binary-only_targets.md @@ -1,83 +1,282 @@ # Fuzzing binary-only targets -When source code is *NOT* available, AFL++ offers various support for fast, -on-the-fly instrumentation of black-box binaries. +AFL++, libfuzzer, and other fuzzers are great if you have the source code of the +target. This allows for very fast and coverage guided fuzzing. -If you do not have to use Unicorn the following setup is recommended to use -qemu_mode: - * run 1 afl-fuzz -Q instance with CMPLOG (`-c 0` + `AFL_COMPCOV_LEVEL=2`) - * run 1 afl-fuzz -Q instance with QASAN (`AFL_USE_QASAN=1`) - * run 1 afl-fuzz -Q instance with LAF (`AFL_PRELOAD=libcmpcov.so` + `AFL_COMPCOV_LEVEL=2`) -Alternatively you can use frida_mode, just switch `-Q` with `-O` and remove the -LAF instance. +However, if there is only the binary program and no source code available, then +standard `afl-fuzz -n` (non-instrumented mode) is not effective. -Then run as many instances as you have cores left with either -Q mode or - better - -use a binary rewriter like afl-dyninst, retrowrite, zafl, etc. +For fast, on-the-fly instrumentation of black-box binaries, AFL++ still offers +various support. The following is a description of how these binaries can be +fuzzed with AFL++. -For Qemu and Frida mode, check out the persistent mode, it gives a huge speed -improvement if it is possible to use. +## TL;DR: + +Qemu_mode in persistent mode is the fastest - if the stability is high enough. +Otherwise, try RetroWrite, Dyninst, and if these fail, too, then try standard +qemu_mode with AFL_ENTRYPOINT to where you need it. + +If your target is a library, then use frida_mode. + +If your target is non-linux, then use unicorn_mode. -### QEMU +## Fuzzing binary-only targets with AFL++ +### Qemu_mode -For linux programs and its libraries this is accomplished with a version of -QEMU running in the lesser-known "user space emulation" mode. -QEMU is a project separate from AFL, but you can conveniently build the -feature by doing: +Qemu_mode is the "native" solution to the program. It is available in the +./qemu_mode/ directory and, once compiled, it can be accessed by the afl-fuzz -Q +command line option. It is the easiest to use alternative and even works for +cross-platform binaries. + +For linux programs and its libraries, this is accomplished with a version of +QEMU running in the lesser-known "user space emulation" mode. QEMU is a project +separate from AFL++, but you can conveniently build the feature by doing: ```shell cd qemu_mode ./build_qemu_support.sh ``` -For additional instructions and caveats, see [qemu_mode/README.md](../qemu_mode/README.md). -If possible you should use the persistent mode, see [qemu_mode/README.persistent.md](../qemu_mode/README.persistent.md). -The mode is approximately 2-5x slower than compile-time instrumentation, and is -less conducive to parallelization. +The following setup to use qemu_mode is recommended: +* run 1 afl-fuzz -Q instance with CMPLOG (`-c 0` + `AFL_COMPCOV_LEVEL=2`) +* run 1 afl-fuzz -Q instance with QASAN (`AFL_USE_QASAN=1`) +* run 1 afl-fuzz -Q instance with LAF (`AFL_PRELOAD=libcmpcov.so` + + `AFL_COMPCOV_LEVEL=2`), alternatively you can use frida_mode, just switch `-Q` + with `-O` and remove the LAF instance + +Then run as many instances as you have cores left with either -Q mode or - even +better - use a binary rewriter like Dyninst, RetroWrite, ZAFL, etc. + +If [afl-dyninst](https://github.com/vanhauser-thc/afl-dyninst) works for your +binary, then you can use afl-fuzz normally and it will have twice the speed +compared to qemu_mode (but slower than qemu persistent mode). Note that several +other binary rewriters exist, all with their advantages and caveats. + +The speed decrease of qemu_mode is at about 50%. However, various options exist +to increase the speed: +- using AFL_ENTRYPOINT to move the forkserver entry to a later basic block in + the binary (+5-10% speed) +- using persistent mode + [qemu_mode/README.persistent.md](../qemu_mode/README.persistent.md) this will + result in a 150-300% overall speed increase - so 3-8x the original qemu_mode + speed! +- using AFL_CODE_START/AFL_CODE_END to only instrument specific parts + +For additional instructions and caveats, see +[qemu_mode/README.md](../qemu_mode/README.md). If possible, you should use the +persistent mode, see +[qemu_mode/README.persistent.md](../qemu_mode/README.persistent.md). The mode is +approximately 2-5x slower than compile-time instrumentation, and is less +conducive to parallelization. + +Note that there is also honggfuzz: +[https://github.com/google/honggfuzz](https://github.com/google/honggfuzz) which +now has a qemu_mode, but its performance is just 1.5% ... + +If you like to code a customized fuzzer without much work, we highly recommend +to check out our sister project libafl which will support QEMU, too: +[https://github.com/AFLplusplus/LibAFL](https://github.com/AFLplusplus/LibAFL) + +### WINE+QEMU + +Wine mode can run Win32 PE binaries with the QEMU instrumentation. It needs +Wine, python3, and the pefile python package installed. + +It is included in AFL++. -If [afl-dyninst](https://github.com/vanhauser-thc/afl-dyninst) works for -your binary, then you can use afl-fuzz normally and it will have twice -the speed compared to qemu_mode (but slower than qemu persistent mode). -Note that several other binary rewriters exist, all with their advantages and -caveats. +### Frida_mode -### Frida +In frida_mode, you can fuzz binary-only targets as easily as with QEMU. +Frida_mode is sometimes faster and sometimes slower than Qemu_mode. It is also +newer, lacks COMPCOV, and has the advantage that it works on MacOS (both intel +and M1). -Frida mode is sometimes faster and sometimes slower than Qemu mode. -It is also newer, lacks COMPCOV, but supports MacOS. +To build frida_mode: ```shell cd frida_mode make ``` -For additional instructions and caveats, see [frida_mode/README.md](../frida_mode/README.md). -If possible you should use the persistent mode, see [qemu_frida/README.md](../qemu_frida/README.md). -The mode is approximately 2-5x slower than compile-time instrumentation, and is -less conducive to parallelization. +For additional instructions and caveats, see +[frida_mode/README.md](../frida_mode/README.md). If possible, you should use the +persistent mode, see [qemu_frida/README.md](../qemu_frida/README.md). The mode +is approximately 2-5x slower than compile-time instrumentation, and is less +conducive to parallelization. But for binary-only fuzzing, it gives a huge speed +improvement if it is possible to use. + +If you want to fuzz a binary-only library, then you can fuzz it with frida-gum +via frida_mode/. You will have to write a harness to call the target function in +the library, use afl-frida.c as a template. + +You can also perform remote fuzzing with frida, e.g. if you want to fuzz on +iPhone or Android devices, for this you can use +[https://github.com/ttdennis/fpicker/](https://github.com/ttdennis/fpicker/) as +an intermediate that uses AFL++ for fuzzing. + +If you like to code a customized fuzzer without much work, we highly recommend +to check out our sister project libafl which supports Frida, too: +[https://github.com/AFLplusplus/LibAFL](https://github.com/AFLplusplus/LibAFL). +Working examples already exist :-) ### Unicorn -For non-Linux binaries you can use AFL++'s unicorn mode which can emulate +Unicorn is a fork of QEMU. The instrumentation is, therefore, very similar. In +contrast to QEMU, Unicorn does not offer a full system or even userland +emulation. Runtime environment and/or loaders have to be written from scratch, +if needed. On top, block chaining has been removed. This means the speed boost +introduced in the patched QEMU Mode of AFL++ cannot simply be ported over to +Unicorn. + +For non-Linux binaries, you can use AFL++'s unicorn_mode which can emulate anything you want - for the price of speed and user written scripts. -See [unicorn_mode/README.md](../unicorn_mode/README.md). -It can be easily built by: +To build unicorn_mode: + ```shell cd unicorn_mode ./build_unicorn_support.sh ``` +For further information, check out +[unicorn_mode/README.md](../unicorn_mode/README.md). + ### Shared libraries -If the goal is to fuzz a dynamic library then there are two options available. -For both you need to write a small harness that loads and calls the library. -Then you fuzz this with either frida_mode or qemu_mode, and either use +If the goal is to fuzz a dynamic library, then there are two options available. +For both, you need to write a small harness that loads and calls the library. +Then you fuzz this with either frida_mode or qemu_mode and either use `AFL_INST_LIBS=1` or `AFL_QEMU/FRIDA_INST_RANGES`. -Another, less precise and slower option is using ptrace with debugger interrupt -instrumentation: [utils/afl_untracer/README.md](../utils/afl_untracer/README.md). +Another, less precise and slower option is to fuzz it with utils/afl_untracer/ +and use afl-untracer.c as a template. It is slower than frida_mode. + +For more information, see +[utils/afl_untracer/README.md](../utils/afl_untracer/README.md). + +## Binary rewriters + +### Coresight + +Coresight is ARM's answer to Intel's PT. With AFL++ v3.15, there is a coresight +tracer implementation available in `coresight_mode/` which is faster than QEMU, +however, cannot run in parallel. Currently, only one process can be traced, it +is WIP. + +### Dyninst + +Dyninst is a binary instrumentation framework similar to Pintool and DynamoRIO. +However, whereas Pintool and DynamoRIO work at runtime, Dyninst instruments the +target at load time and then let it run - or save the binary with the changes. +This is great for some things, e.g. fuzzing, and not so effective for others, +e.g. malware analysis. + +So, what we can do with Dyninst is taking every basic block and put AFL++'s +instrumentation code in there - and then save the binary. Afterwards, we can +just fuzz the newly saved target binary with afl-fuzz. Sounds great? It is. The +issue though - it is a non-trivial problem to insert instructions, which change +addresses in the process space, so that everything is still working afterwards. +Hence, more often than not binaries crash when they are run. + +The speed decrease is about 15-35%, depending on the optimization options used +with afl-dyninst. + +[https://github.com/vanhauser-thc/afl-dyninst](https://github.com/vanhauser-thc/afl-dyninst) + +### Intel PT + +If you have a newer Intel CPU, you can make use of Intel's processor trace. The +big issue with Intel's PT is the small buffer size and the complex encoding of +the debug information collected through PT. This makes the decoding very CPU +intensive and hence slow. As a result, the overall speed decrease is about +70-90% (depending on the implementation and other factors). + +There are two AFL intel-pt implementations: + +1. [https://github.com/junxzm1990/afl-pt](https://github.com/junxzm1990/afl-pt) + => This needs Ubuntu 14.04.05 without any updates and the 4.4 kernel. + +2. [https://github.com/hunter-ht-2018/ptfuzzer](https://github.com/hunter-ht-2018/ptfuzzer) + => This needs a 4.14 or 4.15 kernel. The "nopti" kernel boot option must be + used. This one is faster than the other. + +Note that there is also honggfuzz: +[https://github.com/google/honggfuzz](https://github.com/google/honggfuzz). But +its IPT performance is just 6%! + +### Mcsema + +Theoretically, you can also decompile to llvm IR with mcsema, and then use +llvm_mode to instrument the binary. Good luck with that. + +[https://github.com/lifting-bits/mcsema](https://github.com/lifting-bits/mcsema) + +### Pintool & DynamoRIO + +Pintool and DynamoRIO are dynamic instrumentation engines. They can be used for +getting basic block information at runtime. Pintool is only available for Intel +x32/x64 on Linux, Mac OS, and Windows, whereas DynamoRIO is additionally +available for ARM and AARCH64. DynamoRIO is also 10x faster than Pintool. + +The big issue with DynamoRIO (and therefore Pintool, too) is speed. DynamoRIO +has a speed decrease of 98-99%, Pintool has a speed decrease of 99.5%. + +Hence, DynamoRIO is the option to go for if everything else fails and Pintool +only if DynamoRIO fails, too. + +DynamoRIO solutions: +* [https://github.com/vanhauser-thc/afl-dynamorio](https://github.com/vanhauser-thc/afl-dynamorio) +* [https://github.com/mxmssh/drAFL](https://github.com/mxmssh/drAFL) +* [https://github.com/googleprojectzero/winafl/](https://github.com/googleprojectzero/winafl/) + <= very good but windows only + +Pintool solutions: +* [https://github.com/vanhauser-thc/afl-pin](https://github.com/vanhauser-thc/afl-pin) +* [https://github.com/mothran/aflpin](https://github.com/mothran/aflpin) +* [https://github.com/spinpx/afl_pin_mode](https://github.com/spinpx/afl_pin_mode) + <= only old Pintool version supported + +### RetroWrite + +If you have an x86/x86_64 binary that still has its symbols, is compiled with +position independent code (PIC/PIE), and does not use most of the C++ features, +then the RetroWrite solution might be for you. It decompiles to ASM files which +can then be instrumented with afl-gcc. + +It is at about 80-85% performance. + +[https://github.com/HexHive/retrowrite](https://github.com/HexHive/retrowrite) + +### ZAFL +ZAFL is a static rewriting platform supporting x86-64 C/C++, +stripped/unstripped, and PIE/non-PIE binaries. Beyond conventional +instrumentation, ZAFL's API enables transformation passes (e.g., laf-Intel, +context sensitivity, InsTrim, etc.). + +Its baseline instrumentation speed typically averages 90-95% of +afl-clang-fast's. + +[https://git.zephyr-software.com/opensrc/zafl](https://git.zephyr-software.com/opensrc/zafl) + +## Non-AFL++ solutions + +There are many binary-only fuzzing frameworks. Some are great for CTFs but don't +work with large binaries, others are very slow but have good path discovery, +some are very hard to set-up... + + +* Jackalope: + [https://github.com/googleprojectzero/Jackalope](https://github.com/googleprojectzero/Jackalope) +* Manticore: + [https://github.com/trailofbits/manticore](https://github.com/trailofbits/manticore) +* QSYM: + [https://github.com/sslab-gatech/qsym](https://github.com/sslab-gatech/qsym) +* S2E: [https://github.com/S2E](https://github.com/S2E) +* TinyInst: + [https://github.com/googleprojectzero/TinyInst](https://github.com/googleprojectzero/TinyInst) + (Mac/Windows only) +* ... please send me any missing that are good -### More +## Closing words -A more comprehensive description of these and other options can be found in -[binaryonly_fuzzing.md](binaryonly_fuzzing.md). \ No newline at end of file +That's it! News, corrections, updates? Send an email to vh@thc.org. \ No newline at end of file -- cgit 1.4.1 From 492dbe9fb294dec27e5c2bc7297b36526bb8e61f Mon Sep 17 00:00:00 2001 From: llzmb <46303940+llzmb@users.noreply.github.com> Date: Sun, 21 Nov 2021 18:00:01 +0100 Subject: Clean up docs folder --- README.md | 5 +- docs/FAQ.md | 5 +- docs/best_practices.md | 18 +++-- docs/parallel_fuzzing.md | 182 +++++++++++++++++++++++------------------------ qemu_mode/README.md | 5 +- 5 files changed, 109 insertions(+), 106 deletions(-) (limited to 'docs') diff --git a/README.md b/README.md index b2714787..fcb6b3c9 100644 --- a/README.md +++ b/README.md @@ -132,9 +132,6 @@ The following branches exist: * [dev](https://github.com/AFLplusplus/AFLplusplus/tree/dev): development state of AFL++ - bleeding edge and you might catch a checkout which does not compile or has a bug. *We only accept PRs in dev!!* * (any other): experimental branches to work on specific features or testing new functionality or changes. -For releases, please see the [Releases tab](https://github.com/AFLplusplus/AFLplusplus/releases). -Also take a look at the list of [important changes in AFL++](docs/important_changes.md). - ## Help wanted We have several [ideas](docs/ideas.md) we would like to see in AFL++ to make it @@ -233,4 +230,4 @@ presented at WOOT'20: } ``` -
+
\ No newline at end of file diff --git a/docs/FAQ.md b/docs/FAQ.md index 68ca3bad..34ed4cf5 100644 --- a/docs/FAQ.md +++ b/docs/FAQ.md @@ -83,7 +83,8 @@ If you find an interesting or important question missing, submit it via However, if there is only the binary program and no source code available, then the standard non-instrumented mode is not effective. - To learn how these binaries can be fuzzed, read [binaryonly_fuzzing.md](binaryonly_fuzzing.md). + To learn how these binaries can be fuzzed, read + [fuzzing_binary-only_targets.md](fuzzing_binary-only_targets.md).

@@ -143,7 +144,7 @@ If you find an interesting or important question missing, submit it via Target: x86_64-unknown-linux-gnu Thread model: posix InstalledDir: /prg/tmp/llvm-project/build/bin - clang-13: note: diagnostic msg: + clang-13: note: diagnostic msg: ******************** ``` diff --git a/docs/best_practices.md b/docs/best_practices.md index 7016f08d..5f2d45ed 100644 --- a/docs/best_practices.md +++ b/docs/best_practices.md @@ -4,20 +4,26 @@ ### Targets - * [Fuzzing a binary-only target](#fuzzing-a-binary-only-target) - * [Fuzzing a GUI program](#fuzzing-a-gui-program) - * [Fuzzing a network service](#fuzzing-a-network-service) +* [Fuzzing a target with source code available](#fuzzing-a-target-with-source-code-available) +* [Fuzzing a binary-only target](#fuzzing-a-binary-only-target) +* [Fuzzing a GUI program](#fuzzing-a-gui-program) +* [Fuzzing a network service](#fuzzing-a-network-service) ### Improvements - * [Improving speed](#improving-speed) - * [Improving stability](#improving-stability) +* [Improving speed](#improving-speed) +* [Improving stability](#improving-stability) ## Targets +### Fuzzing a target with source code available + +To learn how to fuzz a target if source code is available, see [fuzzing_in_depth.md](fuzzing_in_depth.md). + ### Fuzzing a binary-only target -For a comprehensive guide, see [binaryonly_fuzzing.md](binaryonly_fuzzing.md). +For a comprehensive guide, see +[fuzzing_binary-only_targets.md](fuzzing_binary-only_targets.md). ### Fuzzing a GUI program diff --git a/docs/parallel_fuzzing.md b/docs/parallel_fuzzing.md index d24f2837..130cb3ce 100644 --- a/docs/parallel_fuzzing.md +++ b/docs/parallel_fuzzing.md @@ -1,28 +1,28 @@ # Tips for parallel fuzzing -This document talks about synchronizing afl-fuzz jobs on a single machine -or across a fleet of systems. See README.md for the general instruction manual. +This document talks about synchronizing afl-fuzz jobs on a single machine or +across a fleet of systems. See README.md for the general instruction manual. Note that this document is rather outdated. please refer to the main document -section on multiple core usage [fuzzing_expert.md#Using multiple cores](fuzzing_expert.md#b-using-multiple-cores) +section on multiple core usage +[fuzzing_in_depth.md:b) Using multiple cores](fuzzing_in_depth.md#b-using-multiple-cores) for up to date strategies! ## 1) Introduction -Every copy of afl-fuzz will take up one CPU core. This means that on an -n-core system, you can almost always run around n concurrent fuzzing jobs with +Every copy of afl-fuzz will take up one CPU core. This means that on an n-core +system, you can almost always run around n concurrent fuzzing jobs with virtually no performance hit (you can use the afl-gotcpu tool to make sure). -In fact, if you rely on just a single job on a multi-core system, you will -be underutilizing the hardware. So, parallelization is always the right way to -go. +In fact, if you rely on just a single job on a multi-core system, you will be +underutilizing the hardware. So, parallelization is always the right way to go. When targeting multiple unrelated binaries or using the tool in "non-instrumented" (-n) mode, it is perfectly fine to just start up several -fully separate instances of afl-fuzz. The picture gets more complicated when -you want to have multiple fuzzers hammering a common target: if a hard-to-hit -but interesting test case is synthesized by one fuzzer, the remaining instances -will not be able to use that input to guide their work. +fully separate instances of afl-fuzz. The picture gets more complicated when you +want to have multiple fuzzers hammering a common target: if a hard-to-hit but +interesting test case is synthesized by one fuzzer, the remaining instances will +not be able to use that input to guide their work. To help with this problem, afl-fuzz offers a simple way to synchronize test cases on the fly. @@ -30,15 +30,15 @@ cases on the fly. It is a good idea to use different power schedules if you run several instances in parallel (`-p` option). -Alternatively running other AFL spinoffs in parallel can be of value, -e.g. Angora (https://github.com/AngoraFuzzer/Angora/) +Alternatively running other AFL spinoffs in parallel can be of value, e.g. +Angora (https://github.com/AngoraFuzzer/Angora/) ## 2) Single-system parallelization -If you wish to parallelize a single job across multiple cores on a local -system, simply create a new, empty output directory ("sync dir") that will be -shared by all the instances of afl-fuzz; and then come up with a naming scheme -for every instance - say, "fuzzer01", "fuzzer02", etc. +If you wish to parallelize a single job across multiple cores on a local system, +simply create a new, empty output directory ("sync dir") that will be shared by +all the instances of afl-fuzz; and then come up with a naming scheme for every +instance - say, "fuzzer01", "fuzzer02", etc. Run the first one ("main node", -M) like this: @@ -57,18 +57,18 @@ Each fuzzer will keep its state in a separate subdirectory, like so: /path/to/sync_dir/fuzzer01/ -Each instance will also periodically rescan the top-level sync directory -for any test cases found by other fuzzers - and will incorporate them into -its own fuzzing when they are deemed interesting enough. -For performance reasons only -M main node syncs the queue with everyone, the --S secondary nodes will only sync from the main node. +Each instance will also periodically rescan the top-level sync directory for any +test cases found by other fuzzers - and will incorporate them into its own +fuzzing when they are deemed interesting enough. For performance reasons only -M +main node syncs the queue with everyone, the -S secondary nodes will only sync +from the main node. -The difference between the -M and -S modes is that the main instance will -still perform deterministic checks; while the secondary instances will -proceed straight to random tweaks. +The difference between the -M and -S modes is that the main instance will still +perform deterministic checks; while the secondary instances will proceed +straight to random tweaks. -Note that you must always have one -M main instance! -Running multiple -M instances is wasteful! +Note that you must always have one -M main instance! Running multiple -M +instances is wasteful! You can also monitor the progress of your jobs from the command line with the provided afl-whatsup tool. When the instances are no longer finding new paths, @@ -90,18 +90,18 @@ file name. ## 3) Multiple -M mains -There is support for parallelizing the deterministic checks. -This is only needed where +There is support for parallelizing the deterministic checks. This is only needed +where 1. many new paths are found fast over a long time and it looks unlikely that main node will ever catch up, and 2. deterministic fuzzing is actively helping path discovery (you can see this in the main node for the first for lines in the "fuzzing strategy yields" - section. If the ration `found/attemps` is high, then it is effective. It + section. If the ration `found/attempts` is high, then it is effective. It most commonly isn't.) -Only if both are true it is beneficial to have more than one main. -You can leverage this by creating -M instances like so: +Only if both are true it is beneficial to have more than one main. You can +leverage this by creating -M instances like so: ``` ./afl-fuzz -i testcase_dir -o sync_dir -M mainA:1/3 [...] @@ -115,27 +115,26 @@ distribute the deterministic fuzzing across. Note that if you boot up fewer fuzzers than indicated by the second number passed to -M, you may end up with poor coverage. -## 4) Syncing with non-AFL fuzzers or independant instances +## 4) Syncing with non-AFL fuzzers or independent instances -A -M main node can be told with the `-F other_fuzzer_queue_directory` option -to sync results from other fuzzers, e.g. libfuzzer or honggfuzz. +A -M main node can be told with the `-F other_fuzzer_queue_directory` option to +sync results from other fuzzers, e.g. libfuzzer or honggfuzz. -Only the specified directory will by synced into afl, not subdirectories. -The specified directory does not need to exist yet at the start of afl. +Only the specified directory will by synced into afl, not subdirectories. The +specified directory does not need to exist yet at the start of afl. The `-F` option can be passed to the main node several times. ## 5) Multi-system parallelization -The basic operating principle for multi-system parallelization is similar to -the mechanism explained in section 2. The key difference is that you need to -write a simple script that performs two actions: +The basic operating principle for multi-system parallelization is similar to the +mechanism explained in section 2. The key difference is that you need to write a +simple script that performs two actions: - - Uses SSH with authorized_keys to connect to every machine and retrieve - a tar archive of the /path/to/sync_dir/ directory local to - the machine. - It is best to use a naming scheme that includes host name and it's being - a main node (e.g. main1, main2) in the fuzzer ID, so that you can do + - Uses SSH with authorized_keys to connect to every machine and retrieve a tar + archive of the /path/to/sync_dir/ directory local to the + machine. It is best to use a naming scheme that includes host name and it's + being a main node (e.g. main1, main2) in the fuzzer ID, so that you can do something like: ```sh @@ -163,70 +162,70 @@ There are other (older) more featured, experimental tools: However these do not support syncing just main nodes (yet). -When developing custom test case sync code, there are several optimizations -to keep in mind: +When developing custom test case sync code, there are several optimizations to +keep in mind: - - The synchronization does not have to happen very often; running the - task every 60 minutes or even less often at later fuzzing stages is - fine + - The synchronization does not have to happen very often; running the task + every 60 minutes or even less often at later fuzzing stages is fine - - There is no need to synchronize crashes/ or hangs/; you only need to - copy over queue/* (and ideally, also fuzzer_stats). + - There is no need to synchronize crashes/ or hangs/; you only need to copy + over queue/* (and ideally, also fuzzer_stats). - - It is not necessary (and not advisable!) to overwrite existing files; - the -k option in tar is a good way to avoid that. + - It is not necessary (and not advisable!) to overwrite existing files; the -k + option in tar is a good way to avoid that. - There is no need to fetch directories for fuzzers that are not running locally on a particular machine, and were simply copied over onto that system during earlier runs. - - For large fleets, you will want to consolidate tarballs for each host, - as this will let you use n SSH connections for sync, rather than n*(n-1). + - For large fleets, you will want to consolidate tarballs for each host, as + this will let you use n SSH connections for sync, rather than n*(n-1). You may also want to implement staged synchronization. For example, you - could have 10 groups of systems, with group 1 pushing test cases only - to group 2; group 2 pushing them only to group 3; and so on, with group + could have 10 groups of systems, with group 1 pushing test cases only to + group 2; group 2 pushing them only to group 3; and so on, with group eventually 10 feeding back to group 1. - This arrangement would allow test interesting cases to propagate across - the fleet without having to copy every fuzzer queue to every single host. + This arrangement would allow test interesting cases to propagate across the + fleet without having to copy every fuzzer queue to every single host. - You do not want a "main" instance of afl-fuzz on every system; you should run them all with -S, and just designate a single process somewhere within the fleet to run with -M. - - Syncing is only necessary for the main nodes on a system. It is possible - to run main-less with only secondaries. However then you need to find out - which secondary took over the temporary role to be the main node. Look for - the `is_main_node` file in the fuzzer directories, eg. `sync-dir/hostname-*/is_main_node` + - Syncing is only necessary for the main nodes on a system. It is possible to + run main-less with only secondaries. However then you need to find out which + secondary took over the temporary role to be the main node. Look for the + `is_main_node` file in the fuzzer directories, eg. + `sync-dir/hostname-*/is_main_node` It is *not* advisable to skip the synchronization script and run the fuzzers -directly on a network filesystem; unexpected latency and unkillable processes -in I/O wait state can mess things up. +directly on a network filesystem; unexpected latency and unkillable processes in +I/O wait state can mess things up. ## 6) Remote monitoring and data collection -You can use screen, nohup, tmux, or something equivalent to run remote -instances of afl-fuzz. If you redirect the program's output to a file, it will +You can use screen, nohup, tmux, or something equivalent to run remote instances +of afl-fuzz. If you redirect the program's output to a file, it will automatically switch from a fancy UI to more limited status reports. There is also basic machine-readable information which is always written to the fuzzer_stats file in the output directory. Locally, that information can be interpreted with afl-whatsup. -In principle, you can use the status screen of the main (-M) instance to -monitor the overall fuzzing progress and decide when to stop. In this -mode, the most important signal is just that no new paths are being found -for a longer while. If you do not have a main instance, just pick any -single secondary instance to watch and go by that. +In principle, you can use the status screen of the main (-M) instance to monitor +the overall fuzzing progress and decide when to stop. In this mode, the most +important signal is just that no new paths are being found for a longer while. +If you do not have a main instance, just pick any single secondary instance to +watch and go by that. -You can also rely on that instance's output directory to collect the -synthesized corpus that covers all the noteworthy paths discovered anywhere -within the fleet. Secondary (-S) instances do not require any special -monitoring, other than just making sure that they are up. +You can also rely on that instance's output directory to collect the synthesized +corpus that covers all the noteworthy paths discovered anywhere within the +fleet. Secondary (-S) instances do not require any special monitoring, other +than just making sure that they are up. -Keep in mind that crashing inputs are *not* automatically propagated to the -main instance, so you may still want to monitor for crashes fleet-wide -from within your synchronization or health checking scripts (see afl-whatsup). +Keep in mind that crashing inputs are *not* automatically propagated to the main +instance, so you may still want to monitor for crashes fleet-wide from within +your synchronization or health checking scripts (see afl-whatsup). ## 7) Asymmetric setups @@ -238,21 +237,20 @@ It is perhaps worth noting that all of the following is permitted: out_dir//queue/* and writing their own finds to sequentially numbered id:nnnnnn files in out_dir//queue/*. - - Running some of the synchronized fuzzers with different (but related) - target binaries. For example, simultaneously stress-testing several - different JPEG parsers (say, IJG jpeg and libjpeg-turbo) while sharing - the discovered test cases can have synergistic effects and improve the - overall coverage. + - Running some of the synchronized fuzzers with different (but related) target + binaries. For example, simultaneously stress-testing several different JPEG + parsers (say, IJG jpeg and libjpeg-turbo) while sharing the discovered test + cases can have synergistic effects and improve the overall coverage. (In this case, running one -M instance per target is necessary.) - - Having some of the fuzzers invoke the binary in different ways. - For example, 'djpeg' supports several DCT modes, configurable with - a command-line flag, while 'dwebp' supports incremental and one-shot - decoding. In some scenarios, going after multiple distinct modes and then - pooling test cases will improve coverage. + - Having some of the fuzzers invoke the binary in different ways. For example, + 'djpeg' supports several DCT modes, configurable with a command-line flag, + while 'dwebp' supports incremental and one-shot decoding. In some scenarios, + going after multiple distinct modes and then pooling test cases will improve + coverage. - Much less convincingly, running the synchronized fuzzers with different starting test cases (e.g., progressive and standard JPEG) or dictionaries. The synchronization mechanism ensures that the test sets will get fairly - homogeneous over time, but it introduces some initial variability. + homogeneous over time, but it introduces some initial variability. \ No newline at end of file diff --git a/qemu_mode/README.md b/qemu_mode/README.md index d28479d9..c62309a2 100644 --- a/qemu_mode/README.md +++ b/qemu_mode/README.md @@ -217,5 +217,6 @@ them at run time, can be a faster alternative. That said, static rewriting is fraught with peril, because it depends on being able to properly and fully model program control flow without actually executing each and every code path. -Checkout the "Fuzzing binary-only targets" section in our main README.md and -the docs/binaryonly_fuzzing.md document for more information and hints. +Check out +[docs/fuzzing_binary-only_targets.md](../docs/fuzzing_binary-only_targets.md) +for more information and hints. -- cgit 1.4.1 From c31f4646cbd00f591dad3258c08ff8e56aa94420 Mon Sep 17 00:00:00 2001 From: llzmb <46303940+llzmb@users.noreply.github.com> Date: Sun, 21 Nov 2021 21:11:52 +0100 Subject: Clean up docs folder --- README.md | 29 +- docs/afl-fuzz_approach.md | 540 ++++++++++++++++++++++++++- docs/custom_mutators.md | 6 +- docs/env_variables.md | 9 +- docs/features.md | 2 +- docs/fuzzing_in_depth.md | 572 +++++++++++++++-------------- docs/important_changes.md | 4 +- docs/interpreting_output.md | 71 ---- docs/status_screen.md | 444 ---------------------- docs/third_party_tools.md | 6 +- qemu_mode/libqasan/README.md | 2 +- unicorn_mode/samples/persistent/COMPILE.md | 12 +- utils/aflpp_driver/README.md | 12 +- 13 files changed, 864 insertions(+), 845 deletions(-) delete mode 100644 docs/interpreting_output.md delete mode 100644 docs/status_screen.md (limited to 'docs') diff --git a/README.md b/README.md index fcb6b3c9..e0cb4558 100644 --- a/README.md +++ b/README.md @@ -80,8 +80,10 @@ Step-by-step quick start: 1. Compile the program or library to be fuzzed using `afl-cc`. A common way to do this would be: - CC=/path/to/afl-cc CXX=/path/to/afl-c++ ./configure --disable-shared - make clean all + ``` + CC=/path/to/afl-cc CXX=/path/to/afl-c++ ./configure --disable-shared + make clean all + ``` 2. Get a small but valid input file that makes sense to the program. When fuzzing verbose syntax (SQL, HTTP, etc), create a dictionary as described in @@ -89,10 +91,10 @@ Step-by-step quick start: 3. If the program reads from stdin, run `afl-fuzz` like so: -``` + ``` ./afl-fuzz -i seeds_dir -o output_dir -- \ - /path/to/tested/program [...program's cmdline...] -``` + /path/to/tested/program [...program's cmdline...] + ``` To add a dictionary, add `-x /path/to/dictionary.txt` to afl-fuzz. @@ -100,13 +102,20 @@ Step-by-step quick start: command line; AFL will put an auto-generated file name in there for you. 4. Investigate anything shown in red in the fuzzer UI by promptly consulting - [docs/status_screen.md](docs/status_screen.md). + [docs/afl-fuzz_approach.md#understanding-the-status-screen](docs/afl-fuzz_approach.md#understanding-the-status-screen). + +5. Interpret the output, see + [docs/afl-fuzz_approach.md#interpreting-output](docs/afl-fuzz_approach.md#interpreting-output). -5. You will find found crashes and hangs in the subdirectories `crashes/` and +6. You will find found crashes and hangs in the subdirectories `crashes/` and `hangs/` in the `-o output_dir` directory. You can replay the crashes by - feeding them to the target, e.g.: `cat output_dir/crashes/id:000000,* | - /path/to/tested/program [...program's cmdline...]` You can generate cores or - use gdb directly to follow up the crashes. + feeding them to the target, e.g.: + + ``` + cat output_dir/crashes/id:000000,* | /path/to/tested/program [...program's cmdline...] + ``` + + You can generate cores or use gdb directly to follow up the crashes. ## Contact diff --git a/docs/afl-fuzz_approach.md b/docs/afl-fuzz_approach.md index 5652816b..57a275d9 100644 --- a/docs/afl-fuzz_approach.md +++ b/docs/afl-fuzz_approach.md @@ -1,37 +1,539 @@ # The afl-fuzz approach -American Fuzzy Lop is a brute-force fuzzer coupled with an exceedingly simple -but rock-solid instrumentation-guided genetic algorithm. It uses a modified -form of edge coverage to effortlessly pick up subtle, local-scale changes to -program control flow. +AFL++ is a brute-force fuzzer coupled with an exceedingly simple but rock-solid +instrumentation-guided genetic algorithm. It uses a modified form of edge +coverage to effortlessly pick up subtle, local-scale changes to program control +flow. Simplifying a bit, the overall algorithm can be summed up as: - 1) Load user-supplied initial test cases into the queue, +1) Load user-supplied initial test cases into the queue. - 2) Take the next input file from the queue, +2) Take the next input file from the queue. - 3) Attempt to trim the test case to the smallest size that doesn't alter - the measured behavior of the program, +3) Attempt to trim the test case to the smallest size that doesn't alter the + measured behavior of the program. - 4) Repeatedly mutate the file using a balanced and well-researched variety - of traditional fuzzing strategies, +4) Repeatedly mutate the file using a balanced and well-researched variety of + traditional fuzzing strategies. - 5) If any of the generated mutations resulted in a new state transition - recorded by the instrumentation, add mutated output as a new entry in the - queue. +5) If any of the generated mutations resulted in a new state transition recorded + by the instrumentation, add mutated output as a new entry in the queue. - 6) Go to 2. +6) Go to 2. The discovered test cases are also periodically culled to eliminate ones that have been obsoleted by newer, higher-coverage finds; and undergo several other instrumentation-driven effort minimization steps. As a side result of the fuzzing process, the tool creates a small, -self-contained corpus of interesting test cases. These are extremely useful -for seeding other, labor- or resource-intensive testing regimes - for example, -for stress-testing browsers, office applications, graphics suites, or -closed-source tools. +self-contained corpus of interesting test cases. These are extremely useful for +seeding other, labor- or resource-intensive testing regimes - for example, for +stress-testing browsers, office applications, graphics suites, or closed-source +tools. The fuzzer is thoroughly tested to deliver out-of-the-box performance far -superior to blind fuzzing or coverage-only tools. \ No newline at end of file +superior to blind fuzzing or coverage-only tools. + +## Understanding the status screen + +This document provides an overview of the status screen - plus tips for +troubleshooting any warnings and red text shown in the UI. See +[README.md](../README.md) for the general instruction manual. + +### A note about colors + +The status screen and error messages use colors to keep things readable and +attract your attention to the most important details. For example, red almost +always means "consult this doc" :-) + +Unfortunately, the UI will render correctly only if your terminal is using +traditional un*x palette (white text on black background) or something close to +that. + +If you are using inverse video, you may want to change your settings, say: + +- For GNOME Terminal, go to `Edit > Profile` preferences, select the "colors" + tab, and from the list of built-in schemes, choose "white on black". +- For the MacOS X Terminal app, open a new window using the "Pro" scheme via the + `Shell > New Window` menu (or make "Pro" your default). + +Alternatively, if you really like your current colors, you can edit config.h to +comment out USE_COLORS, then do `make clean all`. + +I'm not aware of any other simple way to make this work without causing other +side effects - sorry about that. + +With that out of the way, let's talk about what's actually on the screen... + +### The status bar + +``` +american fuzzy lop ++3.01a (default) [fast] {0} +``` + +The top line shows you which mode afl-fuzz is running in (normal: "american +fuzzy lop", crash exploration mode: "peruvian rabbit mode") and the version of +AFL++. Next to the version is the banner, which, if not set with -T by hand, +will either show the binary name being fuzzed, or the -M/-S main/secondary name +for parallel fuzzing. Second to last is the power schedule mode being run +(default: fast). Finally, the last item is the CPU id. + +### Process timing + +``` + +----------------------------------------------------+ + | run time : 0 days, 8 hrs, 32 min, 43 sec | + | last new path : 0 days, 0 hrs, 6 min, 40 sec | + | last uniq crash : none seen yet | + | last uniq hang : 0 days, 1 hrs, 24 min, 32 sec | + +----------------------------------------------------+ +``` + +This section is fairly self-explanatory: it tells you how long the fuzzer has +been running and how much time has elapsed since its most recent finds. This is +broken down into "paths" (a shorthand for test cases that trigger new execution +patterns), crashes, and hangs. + +When it comes to timing: there is no hard rule, but most fuzzing jobs should be +expected to run for days or weeks; in fact, for a moderately complex project, +the first pass will probably take a day or so. Every now and then, some jobs +will be allowed to run for months. + +There's one important thing to watch out for: if the tool is not finding new +paths within several minutes of starting, you're probably not invoking the +target binary correctly and it never gets to parse the input files we're +throwing at it; another possible explanations are that the default memory limit +(`-m`) is too restrictive, and the program exits after failing to allocate a +buffer very early on; or that the input files are patently invalid and always +fail a basic header check. + +If there are no new paths showing up for a while, you will eventually see a big +red warning in this section, too :-) + +### Overall results + +``` + +-----------------------+ + | cycles done : 0 | + | total paths : 2095 | + | uniq crashes : 0 | + | uniq hangs : 19 | + +-----------------------+ +``` + +The first field in this section gives you the count of queue passes done so far +- that is, the number of times the fuzzer went over all the interesting test +cases discovered so far, fuzzed them, and looped back to the very beginning. +Every fuzzing session should be allowed to complete at least one cycle; and +ideally, should run much longer than that. + +As noted earlier, the first pass can take a day or longer, so sit back and +relax. + +To help make the call on when to hit `Ctrl-C`, the cycle counter is color-coded. +It is shown in magenta during the first pass, progresses to yellow if new finds +are still being made in subsequent rounds, then blue when that ends - and +finally, turns green after the fuzzer hasn't been seeing any action for a longer +while. + +The remaining fields in this part of the screen should be pretty obvious: +there's the number of test cases ("paths") discovered so far, and the number of +unique faults. The test cases, crashes, and hangs can be explored in real-time +by browsing the output directory, as discussed in [README.md](../README.md). + +### Cycle progress + +``` + +-------------------------------------+ + | now processing : 1296 (61.86%) | + | paths timed out : 0 (0.00%) | + +-------------------------------------+ +``` + +This box tells you how far along the fuzzer is with the current queue cycle: it +shows the ID of the test case it is currently working on, plus the number of +inputs it decided to ditch because they were persistently timing out. + +The "*" suffix sometimes shown in the first line means that the currently +processed path is not "favored" (a property discussed later on). + +### Map coverage + +``` + +--------------------------------------+ + | map density : 10.15% / 29.07% | + | count coverage : 4.03 bits/tuple | + +--------------------------------------+ +``` + +The section provides some trivia about the coverage observed by the +instrumentation embedded in the target binary. + +The first line in the box tells you how many branch tuples we have already hit, +in proportion to how much the bitmap can hold. The number on the left describes +the current input; the one on the right is the value for the entire input +corpus. + +Be wary of extremes: + +- Absolute numbers below 200 or so suggest one of three things: that the program + is extremely simple; that it is not instrumented properly (e.g., due to being + linked against a non-instrumented copy of the target library); or that it is + bailing out prematurely on your input test cases. The fuzzer will try to mark + this in pink, just to make you aware. +- Percentages over 70% may very rarely happen with very complex programs that + make heavy use of template-generated code. Because high bitmap density makes + it harder for the fuzzer to reliably discern new program states, we recommend + recompiling the binary with `AFL_INST_RATIO=10` or so and trying again (see + [env_variables.md](env_variables.md)). The fuzzer will flag high percentages + in red. Chances are, you will never see that unless you're fuzzing extremely + hairy software (say, v8, perl, ffmpeg). + +The other line deals with the variability in tuple hit counts seen in the +binary. In essence, if every taken branch is always taken a fixed number of +times for all the inputs we have tried, this will read `1.00`. As we manage to +trigger other hit counts for every branch, the needle will start to move toward +`8.00` (every bit in the 8-bit map hit), but will probably never reach that +extreme. + +Together, the values can be useful for comparing the coverage of several +different fuzzing jobs that rely on the same instrumented binary. + +### Stage progress + +``` + +-------------------------------------+ + | now trying : interest 32/8 | + | stage execs : 3996/34.4k (11.62%) | + | total execs : 27.4M | + | exec speed : 891.7/sec | + +-------------------------------------+ +``` + +This part gives you an in-depth peek at what the fuzzer is actually doing right +now. It tells you about the current stage, which can be any of: + +- calibration - a pre-fuzzing stage where the execution path is examined to + detect anomalies, establish baseline execution speed, and so on. Executed very + briefly whenever a new find is being made. +- trim L/S - another pre-fuzzing stage where the test case is trimmed to the + shortest form that still produces the same execution path. The length (L) and + stepover (S) are chosen in general relationship to file size. +- bitflip L/S - deterministic bit flips. There are L bits toggled at any given + time, walking the input file with S-bit increments. The current L/S variants + are: `1/1`, `2/1`, `4/1`, `8/8`, `16/8`, `32/8`. +- arith L/8 - deterministic arithmetics. The fuzzer tries to subtract or add + small integers to 8-, 16-, and 32-bit values. The stepover is always 8 bits. +- interest L/8 - deterministic value overwrite. The fuzzer has a list of known + "interesting" 8-, 16-, and 32-bit values to try. The stepover is 8 bits. +- extras - deterministic injection of dictionary terms. This can be shown as + "user" or "auto", depending on whether the fuzzer is using a user-supplied + dictionary (`-x`) or an auto-created one. You will also see "over" or + "insert", depending on whether the dictionary words overwrite existing data or + are inserted by offsetting the remaining data to accommodate their length. +- havoc - a sort-of-fixed-length cycle with stacked random tweaks. The + operations attempted during this stage include bit flips, overwrites with + random and "interesting" integers, block deletion, block duplication, plus + assorted dictionary-related operations (if a dictionary is supplied in the + first place). +- splice - a last-resort strategy that kicks in after the first full queue cycle + with no new paths. It is equivalent to 'havoc', except that it first splices + together two random inputs from the queue at some arbitrarily selected + midpoint. +- sync - a stage used only when `-M` or `-S` is set (see + [parallel_fuzzing.md](parallel_fuzzing.md)). No real fuzzing is involved, but + the tool scans the output from other fuzzers and imports test cases as + necessary. The first time this is done, it may take several minutes or so. + +The remaining fields should be fairly self-evident: there's the exec count +progress indicator for the current stage, a global exec counter, and a benchmark +for the current program execution speed. This may fluctuate from one test case +to another, but the benchmark should be ideally over 500 execs/sec most of the +time - and if it stays below 100, the job will probably take very long. + +The fuzzer will explicitly warn you about slow targets, too. If this happens, +see the [perf_tips.md](perf_tips.md) file included with the fuzzer for ideas on +how to speed things up. + +### Findings in depth + +``` + +--------------------------------------+ + | favored paths : 879 (41.96%) | + | new edges on : 423 (20.19%) | + | total crashes : 0 (0 unique) | + | total tmouts : 24 (19 unique) | + +--------------------------------------+ +``` + +This gives you several metrics that are of interest mostly to complete nerds. +The section includes the number of paths that the fuzzer likes the most based on +a minimization algorithm baked into the code (these will get considerably more +air time), and the number of test cases that actually resulted in better edge +coverage (versus just pushing the branch hit counters up). There are also +additional, more detailed counters for crashes and timeouts. + +Note that the timeout counter is somewhat different from the hang counter; this +one includes all test cases that exceeded the timeout, even if they did not +exceed it by a margin sufficient to be classified as hangs. + +### Fuzzing strategy yields + +``` + +-----------------------------------------------------+ + | bit flips : 57/289k, 18/289k, 18/288k | + | byte flips : 0/36.2k, 4/35.7k, 7/34.6k | + | arithmetics : 53/2.54M, 0/537k, 0/55.2k | + | known ints : 8/322k, 12/1.32M, 10/1.70M | + | dictionary : 9/52k, 1/53k, 1/24k | + |havoc/splice : 1903/20.0M, 0/0 | + |py/custom/rq : unused, 53/2.54M, unused | + | trim/eff : 20.31%/9201, 17.05% | + +-----------------------------------------------------+ +``` + +This is just another nerd-targeted section keeping track of how many paths we +have netted, in proportion to the number of execs attempted, for each of the +fuzzing strategies discussed earlier on. This serves to convincingly validate +assumptions about the usefulness of the various approaches taken by afl-fuzz. + +The trim strategy stats in this section are a bit different than the rest. The +first number in this line shows the ratio of bytes removed from the input files; +the second one corresponds to the number of execs needed to achieve this goal. +Finally, the third number shows the proportion of bytes that, although not +possible to remove, were deemed to have no effect and were excluded from some of +the more expensive deterministic fuzzing steps. + +Note that when deterministic mutation mode is off (which is the default because +it is not very efficient) the first five lines display "disabled (default, +enable with -D)". + +Only what is activated will have counter shown. + +### Path geometry + +``` + +---------------------+ + | levels : 5 | + | pending : 1570 | + | pend fav : 583 | + | own finds : 0 | + | imported : 0 | + | stability : 100.00% | + +---------------------+ +``` + +The first field in this section tracks the path depth reached through the guided +fuzzing process. In essence: the initial test cases supplied by the user are +considered "level 1". The test cases that can be derived from that through +traditional fuzzing are considered "level 2"; the ones derived by using these as +inputs to subsequent fuzzing rounds are "level 3"; and so forth. The maximum +depth is therefore a rough proxy for how much value you're getting out of the +instrumentation-guided approach taken by afl-fuzz. + +The next field shows you the number of inputs that have not gone through any +fuzzing yet. The same stat is also given for "favored" entries that the fuzzer +really wants to get to in this queue cycle (the non-favored entries may have to +wait a couple of cycles to get their chance). + +Next, we have the number of new paths found during this fuzzing section and +imported from other fuzzer instances when doing parallelized fuzzing; and the +extent to which identical inputs appear to sometimes produce variable behavior +in the tested binary. + +That last bit is actually fairly interesting: it measures the consistency of +observed traces. If a program always behaves the same for the same input data, +it will earn a score of 100%. When the value is lower but still shown in purple, +the fuzzing process is unlikely to be negatively affected. If it goes into red, +you may be in trouble, since AFL will have difficulty discerning between +meaningful and "phantom" effects of tweaking the input file. + +Now, most targets will just get a 100% score, but when you see lower figures, +there are several things to look at: + +- The use of uninitialized memory in conjunction with some intrinsic sources of + entropy in the tested binary. Harmless to AFL, but could be indicative of a + security bug. +- Attempts to manipulate persistent resources, such as left over temporary files + or shared memory objects. This is usually harmless, but you may want to + double-check to make sure the program isn't bailing out prematurely. Running + out of disk space, SHM handles, or other global resources can trigger this, + too. +- Hitting some functionality that is actually designed to behave randomly. + Generally harmless. For example, when fuzzing sqlite, an input like `select + random();` will trigger a variable execution path. +- Multiple threads executing at once in semi-random order. This is harmless when + the 'stability' metric stays over 90% or so, but can become an issue if not. + Here's what to try: + * Use afl-clang-fast from [instrumentation](../instrumentation/) - it uses a + thread-local tracking model that is less prone to concurrency issues, + * See if the target can be compiled or run without threads. Common + `./configure` options include `--without-threads`, `--disable-pthreads`, or + `--disable-openmp`. + * Replace pthreads with GNU Pth (https://www.gnu.org/software/pth/), which + allows you to use a deterministic scheduler. +- In persistent mode, minor drops in the "stability" metric can be normal, + because not all the code behaves identically when re-entered; but major dips + may signify that the code within `__AFL_LOOP()` is not behaving correctly on + subsequent iterations (e.g., due to incomplete clean-up or reinitialization of + the state) and that most of the fuzzing effort goes to waste. + +The paths where variable behavior is detected are marked with a matching entry +in the `/queue/.state/variable_behavior/` directory, so you can look +them up easily. + +### CPU load + +``` + [cpu: 25%] +``` + +This tiny widget shows the apparent CPU utilization on the local system. It is +calculated by taking the number of processes in the "runnable" state, and then +comparing it to the number of logical cores on the system. + +If the value is shown in green, you are using fewer CPU cores than available on +your system and can probably parallelize to improve performance; for tips on how +to do that, see [parallel_fuzzing.md](parallel_fuzzing.md). + +If the value is shown in red, your CPU is *possibly* oversubscribed, and running +additional fuzzers may not give you any benefits. + +Of course, this benchmark is very simplistic; it tells you how many processes +are ready to run, but not how resource-hungry they may be. It also doesn't +distinguish between physical cores, logical cores, and virtualized CPUs; the +performance characteristics of each of these will differ quite a bit. + +If you want a more accurate measurement, you can run the `afl-gotcpu` utility +from the command line. + +## Interpreting output + +See [#understanding-the-status-screen](#understanding-the-status-screen) for +information on how to interpret the displayed stats and monitor the health of +the process. Be sure to consult this file especially if any UI elements are +highlighted in red. + +The fuzzing process will continue until you press Ctrl-C. At a minimum, you want +to allow the fuzzer to complete one queue cycle, which may take anywhere from a +couple of hours to a week or so. + +There are three subdirectories created within the output directory and updated +in real-time: + +- queue/ - test cases for every distinctive execution path, plus all the + starting files given by the user. This is the synthesized corpus + mentioned in section 2. + + Before using this corpus for any other purposes, you can shrink + it to a smaller size using the afl-cmin tool. The tool will find + a smaller subset of files offering equivalent edge coverage. + +- crashes/ - unique test cases that cause the tested program to receive a fatal + signal (e.g., SIGSEGV, SIGILL, SIGABRT). The entries are grouped by + the received signal. + +- hangs/ - unique test cases that cause the tested program to time out. The + default time limit before something is classified as a hang is the + larger of 1 second and the value of the -t parameter. The value can + be fine-tuned by setting AFL_HANG_TMOUT, but this is rarely + necessary. + +Crashes and hangs are considered "unique" if the associated execution paths +involve any state transitions not seen in previously-recorded faults. If a +single bug can be reached in multiple ways, there will be some count inflation +early in the process, but this should quickly taper off. + +The file names for crashes and hangs are correlated with the parent, non-faulting +queue entries. This should help with debugging. + +## Visualizing + +If you have gnuplot installed, you can also generate some pretty graphs for any +active fuzzing task using afl-plot. For an example of how this looks like, see +[https://lcamtuf.coredump.cx/afl/plot/](https://lcamtuf.coredump.cx/afl/plot/). + +You can also manually build and install afl-plot-ui, which is a helper utility +for showing the graphs generated by afl-plot in a graphical window using GTK. +You can build and install it as follows: + +```shell +sudo apt install libgtk-3-0 libgtk-3-dev pkg-config +cd utils/plot_ui +make +cd ../../ +sudo make install +``` + + +### Addendum: status and plot files + +For unattended operation, some of the key status screen information can be also +found in a machine-readable format in the fuzzer_stats file in the output +directory. This includes: + +- `start_time` - unix time indicating the start time of afl-fuzz +- `last_update` - unix time corresponding to the last update of this file +- `run_time` - run time in seconds to the last update of this file +- `fuzzer_pid` - PID of the fuzzer process +- `cycles_done` - queue cycles completed so far +- `cycles_wo_finds` - number of cycles without any new paths found +- `execs_done` - number of execve() calls attempted +- `execs_per_sec` - overall number of execs per second +- `paths_total` - total number of entries in the queue +- `paths_favored` - number of queue entries that are favored +- `paths_found` - number of entries discovered through local fuzzing +- `paths_imported` - number of entries imported from other instances +- `max_depth` - number of levels in the generated data set +- `cur_path` - currently processed entry number +- `pending_favs` - number of favored entries still waiting to be fuzzed +- `pending_total` - number of all entries waiting to be fuzzed +- `variable_paths` - number of test cases showing variable behavior +- `stability` - percentage of bitmap bytes that behave consistently +- `bitmap_cvg` - percentage of edge coverage found in the map so far +- `unique_crashes` - number of unique crashes recorded +- `unique_hangs` - number of unique hangs encountered +- `last_path` - seconds since the last path was found +- `last_crash` - seconds since the last crash was found +- `last_hang` - seconds since the last hang was found +- `execs_since_crash` - execs since the last crash was found +- `exec_timeout` - the -t command line value +- `slowest_exec_ms` - real time of the slowest execution in ms +- `peak_rss_mb` - max rss usage reached during fuzzing in MB +- `edges_found` - how many edges have been found +- `var_byte_count` - how many edges are non-deterministic +- `afl_banner` - banner text (e.g. the target name) +- `afl_version` - the version of AFL used +- `target_mode` - default, persistent, qemu, unicorn, non-instrumented +- `command_line` - full command line used for the fuzzing session + +Most of these map directly to the UI elements discussed earlier on. + +On top of that, you can also find an entry called `plot_data`, containing a +plottable history for most of these fields. If you have gnuplot installed, you +can turn this into a nice progress report with the included `afl-plot` tool. + +### Addendum: automatically sending metrics with StatsD + +In a CI environment or when running multiple fuzzers, it can be tedious to log +into each of them or deploy scripts to read the fuzzer statistics. Using +`AFL_STATSD` (and the other related environment variables `AFL_STATSD_HOST`, +`AFL_STATSD_PORT`, `AFL_STATSD_TAGS_FLAVOR`) you can automatically send metrics +to your favorite StatsD server. Depending on your StatsD server, you will be +able to monitor, trigger alerts, or perform actions based on these metrics (e.g: +alert on slow exec/s for a new build, threshold of crashes, time since last +crash > X, etc). + +The selected metrics are a subset of all the metrics found in the status and in +the plot file. The list is the following: `cycle_done`, `cycles_wo_finds`, +`execs_done`,`execs_per_sec`, `paths_total`, `paths_favored`, `paths_found`, +`paths_imported`, `max_depth`, `cur_path`, `pending_favs`, `pending_total`, +`variable_paths`, `unique_crashes`, `unique_hangs`, `total_crashes`, +`slowest_exec_ms`, `edges_found`, `var_byte_count`, `havoc_expansion`. Their +definitions can be found in the addendum above. + +When using multiple fuzzer instances with StatsD, it is *strongly* recommended +to setup the flavor (AFL_STATSD_TAGS_FLAVOR) to match your StatsD server. This +will allow you to see individual fuzzer performance, detect bad ones, see the +progress of each strategy... \ No newline at end of file diff --git a/docs/custom_mutators.md b/docs/custom_mutators.md index 8b5a4068..b1dfd309 100644 --- a/docs/custom_mutators.md +++ b/docs/custom_mutators.md @@ -127,9 +127,9 @@ def deinit(): # optional for Python - `describe` (optional): - When this function is called, it shall describe the current testcase, + When this function is called, it shall describe the current test case, generated by the last mutation. This will be called, for example, - to name the written testcase file after a crash occurred. + to name the written test case file after a crash occurred. Using it can help to reproduce crashing mutations. - `havoc_mutation` and `havoc_mutation_probability` (optional): @@ -224,7 +224,7 @@ Optionally, the following environment variables are supported: - `AFL_CUSTOM_MUTATOR_ONLY` - Disable all other mutation stages. This can prevent broken testcases + Disable all other mutation stages. This can prevent broken test cases (those that your Python module can't work with anymore) to fill up your queue. Best combined with a custom trimming routine (see below) because trimming can cause the same test breakage like havoc and splice. diff --git a/docs/env_variables.md b/docs/env_variables.md index 65cca0dc..34318cd4 100644 --- a/docs/env_variables.md +++ b/docs/env_variables.md @@ -306,8 +306,9 @@ checks or alter some of the more exotic semantics of the tool: exit soon after the first crash is found. - `AFL_CMPLOG_ONLY_NEW` will only perform the expensive cmplog feature for - newly found testcases and not for testcases that are loaded on startup (`-i - in`). This is an important feature to set when resuming a fuzzing session. + newly found test cases and not for test cases that are loaded on startup + (`-i in`). This is an important feature to set when resuming a fuzzing + session. - Setting `AFL_CRASH_EXITCODE` sets the exit code AFL treats as crash. For example, if `AFL_CRASH_EXITCODE='-1'` is set, each input resulting in a `-1` @@ -447,8 +448,8 @@ checks or alter some of the more exotic semantics of the tool: - If you are using persistent mode (you should, see [instrumentation/README.persistent_mode.md](../instrumentation/README.persistent_mode.md)), - some targets keep inherent state due which a detected crash testcase does - not crash the target again when the testcase is given. To be able to still + some targets keep inherent state due which a detected crash test case does + not crash the target again when the test case is given. To be able to still re-trigger these crashes, you can use the `AFL_PERSISTENT_RECORD` variable with a value of how many previous fuzz cases to keep prio a crash. If set to e.g. 10, then the 9 previous inputs are written to out/default/crashes as diff --git a/docs/features.md b/docs/features.md index f44e32ff..05670e6f 100644 --- a/docs/features.md +++ b/docs/features.md @@ -17,7 +17,7 @@ | Context Coverage | | x(6) | | | | | | | Auto Dictionary | | x(7) | | | | | | | Snapshot LKM Support | | (x)(8) | (x)(8) | | (x)(5) | | | - | Shared Memory Testcases | | x | x | x86[_64]/arm64 | x | x | | + | Shared Memory Test cases | | x | x | x86[_64]/arm64 | x | x | | 1. default for LLVM >= 9.0, env var for older version due an efficiency bug in previous llvm versions 2. GCC creates non-performant code, hence it is disabled in gcc_plugin diff --git a/docs/fuzzing_in_depth.md b/docs/fuzzing_in_depth.md index 5306cbef..5b4a9df7 100644 --- a/docs/fuzzing_in_depth.md +++ b/docs/fuzzing_in_depth.md @@ -1,24 +1,25 @@ # Fuzzing with AFL++ The following describes how to fuzz with a target if source code is available. -If you have a binary-only target please skip to [#Instrumenting binary-only apps](#Instrumenting binary-only apps) +If you have a binary-only target, please go to +[fuzzing_binary-only_targets.md](fuzzing_binary-only_targets.md). -Fuzzing source code is a three-step process. +Fuzzing source code is a three-step process: 1. Compile the target with a special compiler that prepares the target to be fuzzed efficiently. This step is called "instrumenting a target". 2. Prepare the fuzzing by selecting and optimizing the input corpus for the target. -3. Perform the fuzzing of the target by randomly mutating input and assessing - if a generated input was processed in a new path in the target binary. +3. Perform the fuzzing of the target by randomly mutating input and assessing if + a generated input was processed in a new path in the target binary. ### 1. Instrumenting that target #### a) Selecting the best AFL++ compiler for instrumenting the target AFL++ comes with a central compiler `afl-cc` that incorporates various different -kinds of compiler targets and and instrumentation options. -The following evaluation flow will help you to select the best possible. +kinds of compiler targets and and instrumentation options. The following +evaluation flow will help you to select the best possible. It is highly recommended to have the newest llvm version possible installed, anything below 9 is not recommended. @@ -51,132 +52,131 @@ anything below 9 is not recommended. Clickable README links for the chosen compiler: - * [LTO mode - afl-clang-lto](../instrumentation/README.lto.md) - * [LLVM mode - afl-clang-fast](../instrumentation/README.llvm.md) - * [GCC_PLUGIN mode - afl-gcc-fast](../instrumentation/README.gcc_plugin.md) - * GCC/CLANG modes (afl-gcc/afl-clang) have no README as they have no own features +* [LTO mode - afl-clang-lto](../instrumentation/README.lto.md) +* [LLVM mode - afl-clang-fast](../instrumentation/README.llvm.md) +* [GCC_PLUGIN mode - afl-gcc-fast](../instrumentation/README.gcc_plugin.md) +* GCC/CLANG modes (afl-gcc/afl-clang) have no README as they have no own + features You can select the mode for the afl-cc compiler by: - 1. use a symlink to afl-cc: afl-gcc, afl-g++, afl-clang, afl-clang++, - afl-clang-fast, afl-clang-fast++, afl-clang-lto, afl-clang-lto++, - afl-gcc-fast, afl-g++-fast (recommended!) - 2. using the environment variable AFL_CC_COMPILER with MODE - 3. passing --afl-MODE command line options to the compiler via CFLAGS/CXXFLAGS/CPPFLAGS +1. use a symlink to afl-cc: afl-gcc, afl-g++, afl-clang, afl-clang++, + afl-clang-fast, afl-clang-fast++, afl-clang-lto, afl-clang-lto++, + afl-gcc-fast, afl-g++-fast (recommended!) +2. using the environment variable AFL_CC_COMPILER with MODE +3. passing --afl-MODE command line options to the compiler via + CFLAGS/CXXFLAGS/CPPFLAGS MODE can be one of: LTO (afl-clang-lto*), LLVM (afl-clang-fast*), GCC_PLUGIN (afl-g*-fast) or GCC (afl-gcc/afl-g++) or CLANG(afl-clang/afl-clang++). -Because no AFL specific command-line options are accepted (beside the ---afl-MODE command), the compile-time tools make fairly broad use of environment -variables, which can be listed with `afl-cc -hh` or by reading [env_variables.md](env_variables.md). +Because no AFL specific command-line options are accepted (beside the --afl-MODE +command), the compile-time tools make fairly broad use of environment variables, +which can be listed with `afl-cc -hh` or by reading +[env_variables.md](env_variables.md). #### b) Selecting instrumentation options -The following options are available when you instrument with LTO mode (afl-clang-fast/afl-clang-lto): - - * Splitting integer, string, float and switch comparisons so AFL++ can easier - solve these. This is an important option if you do not have a very good - and large input corpus. This technique is called laf-intel or COMPCOV. - To use this set the following environment variable before compiling the - target: `export AFL_LLVM_LAF_ALL=1` - You can read more about this in [instrumentation/README.laf-intel.md](../instrumentation/README.laf-intel.md) - * A different technique (and usually a better one than laf-intel) is to - instrument the target so that any compare values in the target are sent to - AFL++ which then tries to put these values into the fuzzing data at different - locations. This technique is very fast and good - if the target does not - transform input data before comparison. Therefore this technique is called - `input to state` or `redqueen`. - If you want to use this technique, then you have to compile the target - twice, once specifically with/for this mode by setting `AFL_LLVM_CMPLOG=1`, - and pass this binary to afl-fuzz via the `-c` parameter. - Note that you can compile also just a cmplog binary and use that for both - however there will be a performance penality. - You can read more about this in [instrumentation/README.cmplog.md](../instrumentation/README.cmplog.md) - -If you use LTO, LLVM or GCC_PLUGIN mode (afl-clang-fast/afl-clang-lto/afl-gcc-fast) -you have the option to selectively only instrument parts of the target that you -are interested in: - - * To instrument only those parts of the target that you are interested in - create a file with all the filenames of the source code that should be - instrumented. - For afl-clang-lto and afl-gcc-fast - or afl-clang-fast if a mode other than - DEFAULT/PCGUARD is used or you have llvm > 10.0.0 - just put one - filename or function per line (no directory information necessary for - filenames9, and either set `export AFL_LLVM_ALLOWLIST=allowlist.txt` **or** - `export AFL_LLVM_DENYLIST=denylist.txt` - depending on if you want per - default to instrument unless noted (DENYLIST) or not perform instrumentation - unless requested (ALLOWLIST). - **NOTE:** During optimization functions might be inlined and then would not match! - See [instrumentation/README.instrument_list.md](../instrumentation/README.instrument_list.md) +The following options are available when you instrument with LTO mode +(afl-clang-fast/afl-clang-lto): + +* Splitting integer, string, float and switch comparisons so AFL++ can easier + solve these. This is an important option if you do not have a very good and + large input corpus. This technique is called laf-intel or COMPCOV. To use this + set the following environment variable before compiling the target: `export + AFL_LLVM_LAF_ALL=1` You can read more about this in + [instrumentation/README.laf-intel.md](../instrumentation/README.laf-intel.md). +* A different technique (and usually a better one than laf-intel) is to + instrument the target so that any compare values in the target are sent to + AFL++ which then tries to put these values into the fuzzing data at different + locations. This technique is very fast and good - if the target does not + transform input data before comparison. Therefore this technique is called + `input to state` or `redqueen`. If you want to use this technique, then you + have to compile the target twice, once specifically with/for this mode by + setting `AFL_LLVM_CMPLOG=1`, and pass this binary to afl-fuzz via the `-c` + parameter. Note that you can compile also just a cmplog binary and use that + for both however there will be a performance penality. You can read more about + this in + [instrumentation/README.cmplog.md](../instrumentation/README.cmplog.md). + +If you use LTO, LLVM or GCC_PLUGIN mode +(afl-clang-fast/afl-clang-lto/afl-gcc-fast) you have the option to selectively +only instrument parts of the target that you are interested in: + +* To instrument only those parts of the target that you are interested in create + a file with all the filenames of the source code that should be instrumented. + For afl-clang-lto and afl-gcc-fast - or afl-clang-fast if a mode other than + DEFAULT/PCGUARD is used or you have llvm > 10.0.0 - just put one filename or + function per line (no directory information necessary for filenames9, and + either set `export AFL_LLVM_ALLOWLIST=allowlist.txt` **or** `export + AFL_LLVM_DENYLIST=denylist.txt` - depending on if you want per default to + instrument unless noted (DENYLIST) or not perform instrumentation unless + requested (ALLOWLIST). **NOTE:** During optimization functions might be + inlined and then would not match! See + [instrumentation/README.instrument_list.md](../instrumentation/README.instrument_list.md) There are many more options and modes available however these are most of the time less effective. See: - * [instrumentation/README.ctx.md](../instrumentation/README.ctx.md) - * [instrumentation/README.ngram.md](../instrumentation/README.ngram.md) +* [instrumentation/README.ctx.md](../instrumentation/README.ctx.md) +* [instrumentation/README.ngram.md](../instrumentation/README.ngram.md) AFL++ performs "never zero" counting in its bitmap. You can read more about this here: - * [instrumentation/README.neverzero.md](../instrumentation/README.neverzero.md) +* [instrumentation/README.neverzero.md](../instrumentation/README.neverzero.md) #### c) Sanitizers -It is possible to use sanitizers when instrumenting targets for fuzzing, -which allows you to find bugs that would not necessarily result in a crash. +It is possible to use sanitizers when instrumenting targets for fuzzing, which +allows you to find bugs that would not necessarily result in a crash. Note that sanitizers have a huge impact on CPU (= less executions per second) -and RAM usage. Also you should only run one afl-fuzz instance per sanitizer type. -This is enough because a use-after-free bug will be picked up, e.g. by -ASAN (address sanitizer) anyway when syncing to other fuzzing instances, -so not all fuzzing instances need to be instrumented with ASAN. +and RAM usage. Also you should only run one afl-fuzz instance per sanitizer +type. This is enough because a use-after-free bug will be picked up, e.g. by +ASAN (address sanitizer) anyway when syncing to other fuzzing instances, so not +all fuzzing instances need to be instrumented with ASAN. The following sanitizers have built-in support in AFL++: - * ASAN = Address SANitizer, finds memory corruption vulnerabilities like - use-after-free, NULL pointer dereference, buffer overruns, etc. - Enabled with `export AFL_USE_ASAN=1` before compiling. - * MSAN = Memory SANitizer, finds read access to uninitialized memory, eg. - a local variable that is defined and read before it is even set. - Enabled with `export AFL_USE_MSAN=1` before compiling. - * UBSAN = Undefined Behaviour SANitizer, finds instances where - by the - C and C++ standards - undefined behaviour happens, e.g. adding two - signed integers together where the result is larger than a signed integer - can hold. - Enabled with `export AFL_USE_UBSAN=1` before compiling. - * CFISAN = Control Flow Integrity SANitizer, finds instances where the - control flow is found to be illegal. Originally this was rather to - prevent return oriented programming exploit chains from functioning, - in fuzzing this is mostly reduced to detecting type confusion - vulnerabilities - which is however one of the most important and dangerous - C++ memory corruption classes! - Enabled with `export AFL_USE_CFISAN=1` before compiling. - * TSAN = Thread SANitizer, finds thread race conditions. - Enabled with `export AFL_USE_TSAN=1` before compiling. - * LSAN = Leak SANitizer, finds memory leaks in a program. This is not really - a security issue, but for developers this can be very valuable. - Note that unlike the other sanitizers above this needs - `__AFL_LEAK_CHECK();` added to all areas of the target source code where you - find a leak check necessary! - Enabled with `export AFL_USE_LSAN=1` before compiling. - -It is possible to further modify the behaviour of the sanitizers at run-time -by setting `ASAN_OPTIONS=...`, `LSAN_OPTIONS` etc. - the available parameters -can be looked up in the sanitizer documentation of llvm/clang. -afl-fuzz however requires some specific parameters important for fuzzing to be -set. If you want to set your own, it might bail and report what it is missing. +* ASAN = Address SANitizer, finds memory corruption vulnerabilities like + use-after-free, NULL pointer dereference, buffer overruns, etc. Enabled with + `export AFL_USE_ASAN=1` before compiling. +* MSAN = Memory SANitizer, finds read access to uninitialized memory, eg. a + local variable that is defined and read before it is even set. Enabled with + `export AFL_USE_MSAN=1` before compiling. +* UBSAN = Undefined Behaviour SANitizer, finds instances where - by the C and + C++ standards - undefined behaviour happens, e.g. adding two signed integers + together where the result is larger than a signed integer can hold. Enabled + with `export AFL_USE_UBSAN=1` before compiling. +* CFISAN = Control Flow Integrity SANitizer, finds instances where the control + flow is found to be illegal. Originally this was rather to prevent return + oriented programming exploit chains from functioning, in fuzzing this is + mostly reduced to detecting type confusion vulnerabilities - which is, + however, one of the most important and dangerous C++ memory corruption + classes! Enabled with `export AFL_USE_CFISAN=1` before compiling. +* TSAN = Thread SANitizer, finds thread race conditions. Enabled with `export + AFL_USE_TSAN=1` before compiling. +* LSAN = Leak SANitizer, finds memory leaks in a program. This is not really a + security issue, but for developers this can be very valuable. Note that unlike + the other sanitizers above this needs `__AFL_LEAK_CHECK();` added to all areas + of the target source code where you find a leak check necessary! Enabled with + `export AFL_USE_LSAN=1` before compiling. + +It is possible to further modify the behaviour of the sanitizers at run-time by +setting `ASAN_OPTIONS=...`, `LSAN_OPTIONS` etc. - the available parameters can +be looked up in the sanitizer documentation of llvm/clang. afl-fuzz, however, +requires some specific parameters important for fuzzing to be set. If you want +to set your own, it might bail and report what it is missing. Note that some sanitizers cannot be used together, e.g. ASAN and MSAN, and others often cannot work together because of target weirdness, e.g. ASAN and CFISAN. You might need to experiment which sanitizers you can combine in a -target (which means more instances can be run without a sanitized target, -which is more effective). +target (which means more instances can be run without a sanitized target, which +is more effective). #### d) Modify the target -If the target has features that make fuzzing more difficult, e.g. -checksums, HMAC, etc. then modify the source code so that checks for these -values are removed. -This can even be done safely for source code used in operational products -by eliminating these checks within these AFL specific blocks: +If the target has features that make fuzzing more difficult, e.g. checksums, +HMAC, etc. then modify the source code so that checks for these values are +removed. This can even be done safely for source code used in operational +products by eliminating these checks within these AFL specific blocks: ``` #ifdef FUZZING_BUILD_MODE_UNSAFE_FOR_PRODUCTION @@ -193,25 +193,24 @@ All AFL++ compilers will set this preprocessor definition automatically. In this step the target source code is compiled so that it can be fuzzed. Basically you have to tell the target build system that the selected AFL++ -compiler is used. Also - if possible - you should always configure the -build system such that the target is compiled statically and not dynamically. -How to do this is described below. +compiler is used. Also - if possible - you should always configure the build +system such that the target is compiled statically and not dynamically. How to +do this is described below. -The #1 rule when instrumenting a target is: avoid instrumenting shared -libraries at all cost. You would need to set LD_LIBRARY_PATH to point to -these, you could accidently type "make install" and install them system wide - -so don't. Really don't. -**Always compile libraries you want to have instrumented as static and link -these to the target program!** +The #1 rule when instrumenting a target is: avoid instrumenting shared libraries +at all cost. You would need to set LD_LIBRARY_PATH to point to these, you could +accidentally type "make install" and install them system wide - so don't. Really +don't. **Always compile libraries you want to have instrumented as static and +link these to the target program!** Then build the target. (Usually with `make`) **NOTES** -1. sometimes configure and build systems are fickle and do not like - stderr output (and think this means a test failure) - which is something - AFL++ likes to do to show statistics. It is recommended to disable AFL++ - instrumentation reporting via `export AFL_QUIET=1`. +1. sometimes configure and build systems are fickle and do not like stderr + output (and think this means a test failure) - which is something AFL++ likes + to do to show statistics. It is recommended to disable AFL++ instrumentation + reporting via `export AFL_QUIET=1`. 2. sometimes configure and build systems error on warnings - these should be disabled (e.g. `--disable-werror` for some configure scripts). @@ -249,41 +248,46 @@ Sometimes cmake and configure do not pick up the AFL++ compiler, or the ranlib/ar that is needed - because this was just not foreseen by the developer of the target. Or they have non-standard options. Figure out if there is a non-standard way to set this, otherwise set up the build normally and edit the -generated build environment afterwards manually to point it to the right compiler -(and/or ranlib and ar). +generated build environment afterwards manually to point it to the right +compiler (and/or ranlib and ar). #### f) Better instrumentation If you just fuzz a target program as-is you are wasting a great opportunity for much more fuzzing speed. -This variant requires the usage of afl-clang-lto, afl-clang-fast or afl-gcc-fast. +This variant requires the usage of afl-clang-lto, afl-clang-fast or +afl-gcc-fast. -It is the so-called `persistent mode`, which is much, much faster but -requires that you code a source file that is specifically calling the target -functions that you want to fuzz, plus a few specific AFL++ functions around -it. See [instrumentation/README.persistent_mode.md](../instrumentation/README.persistent_mode.md) for details. +It is the so-called `persistent mode`, which is much, much faster but requires +that you code a source file that is specifically calling the target functions +that you want to fuzz, plus a few specific AFL++ functions around it. See +[instrumentation/README.persistent_mode.md](../instrumentation/README.persistent_mode.md) +for details. -Basically if you do not fuzz a target in persistent mode then you are just -doing it for a hobby and not professionally :-). +Basically if you do not fuzz a target in persistent mode then you are just doing +it for a hobby and not professionally :-). #### g) libfuzzer fuzzer harnesses with LLVMFuzzerTestOneInput() libfuzzer `LLVMFuzzerTestOneInput()` harnesses are the defacto standard for fuzzing, and they can be used with AFL++ (and honggfuzz) as well! Compiling them is as simple as: + ``` afl-clang-fast++ -fsanitize=fuzzer -o harness harness.cpp targetlib.a ``` + You can even use advanced libfuzzer features like `FuzzedDataProvider`, `LLVMFuzzerMutate()` etc. and they will work! The generated binary is fuzzed with afl-fuzz like any other fuzz target. Bonus: the target is already optimized for fuzzing due to persistent mode and -shared-memory testcases and hence gives you the fastest speed possible. +shared-memory test cases and hence gives you the fastest speed possible. -For more information see [utils/aflpp_driver/README.md](../utils/aflpp_driver/README.md) +For more information, see +[utils/aflpp_driver/README.md](../utils/aflpp_driver/README.md). ### 2. Preparing the fuzzing campaign @@ -294,8 +298,8 @@ target as possible improves the efficiency a lot. Try to gather valid inputs for the target from wherever you can. E.g. if it is the PNG picture format try to find as many png files as possible, e.g. from -reported bugs, test suites, random downloads from the internet, unit test -case data - from all kind of PNG software. +reported bugs, test suites, random downloads from the internet, unit test case +data - from all kind of PNG software. If the input format is not known, you can also modify a target program to write normal data it receives and processes to a file and use these. @@ -319,10 +323,9 @@ This step is highly recommended! #### c) Minimizing all corpus files -The shorter the input files that still traverse the same path -within the target, the better the fuzzing will be. This minimization -is done with `afl-tmin` however it is a long process as this has to -be done for every file: +The shorter the input files that still traverse the same path within the target, +the better the fuzzing will be. This minimization is done with `afl-tmin` +however it is a long process as this has to be done for every file: ``` mkdir input @@ -332,8 +335,8 @@ for i in *; do done ``` -This step can also be parallelized, e.g. with `parallel`. -Note that this step is rather optional though. +This step can also be parallelized, e.g. with `parallel`. Note that this step is +rather optional though. #### Done! @@ -343,10 +346,9 @@ to be used in fuzzing! :-) ### 3. Fuzzing the target -In this final step we fuzz the target. -There are not that many important options to run the target - unless you want -to use many CPU cores/threads for the fuzzing, which will make the fuzzing much -more useful. +In this final step we fuzz the target. There are not that many important options +to run the target - unless you want to use many CPU cores/threads for the +fuzzing, which will make the fuzzing much more useful. If you just use one CPU for fuzzing, then you are fuzzing just for fun and not seriously :-) @@ -355,19 +357,19 @@ seriously :-) Before you do even a test run of afl-fuzz execute `sudo afl-system-config` (on the host if you execute afl-fuzz in a docker container). This reconfigures the -system for optimal speed - which afl-fuzz checks and bails otherwise. -Set `export AFL_SKIP_CPUFREQ=1` for afl-fuzz to skip this check if you cannot -run afl-system-config with root privileges on the host for whatever reason. +system for optimal speed - which afl-fuzz checks and bails otherwise. Set +`export AFL_SKIP_CPUFREQ=1` for afl-fuzz to skip this check if you cannot run +afl-system-config with root privileges on the host for whatever reason. Note there is also `sudo afl-persistent-config` which sets additional permanent boot options for a much better fuzzing performance. Note that both scripts improve your fuzzing performance but also decrease your -system protection against attacks! So set strong firewall rules and only -expose SSH as a network service if you use these (which is highly recommended). +system protection against attacks! So set strong firewall rules and only expose +SSH as a network service if you use these (which is highly recommended). -If you have an input corpus from step 2 then specify this directory with the `-i` -option. Otherwise create a new directory and create a file with any content +If you have an input corpus from step 2 then specify this directory with the +`-i` option. Otherwise create a new directory and create a file with any content as test data in there. If you do not want anything special, the defaults are already usually best, @@ -387,36 +389,37 @@ same as the afl-fuzz -M/-S naming :-) For more information on screen or tmux please check their documentation. If you need to stop and re-start the fuzzing, use the same command line options -(or even change them by selecting a different power schedule or another -mutation mode!) and switch the input directory with a dash (`-`): +(or even change them by selecting a different power schedule or another mutation +mode!) and switch the input directory with a dash (`-`): `afl-fuzz -i - -o output -- bin/target -d @@` -Memory limits are not enforced by afl-fuzz by default and the system may run -out of memory. You can decrease the memory with the `-m` option, the value is -in MB. If this is too small for the target, you can usually see this by -afl-fuzz bailing with the message that it could not connect to the forkserver. +Memory limits are not enforced by afl-fuzz by default and the system may run out +of memory. You can decrease the memory with the `-m` option, the value is in MB. +If this is too small for the target, you can usually see this by afl-fuzz +bailing with the message that it could not connect to the forkserver. -Adding a dictionary is helpful. See the directory [dictionaries/](../dictionaries/) if -something is already included for your data format, and tell afl-fuzz to load -that dictionary by adding `-x dictionaries/FORMAT.dict`. With afl-clang-lto -you have an autodictionary generation for which you need to do nothing except -to use afl-clang-lto as the compiler. You also have the option to generate -a dictionary yourself, see [utils/libtokencap/README.md](../utils/libtokencap/README.md). +Adding a dictionary is helpful. See the directory +[dictionaries/](../dictionaries/) if something is already included for your data +format, and tell afl-fuzz to load that dictionary by adding `-x +dictionaries/FORMAT.dict`. With afl-clang-lto you have an autodictionary +generation for which you need to do nothing except to use afl-clang-lto as the +compiler. You also have the option to generate a dictionary yourself, see +[utils/libtokencap/README.md](../utils/libtokencap/README.md). afl-fuzz has a variety of options that help to workaround target quirks like -specific locations for the input file (`-f`), performing deterministic -fuzzing (`-D`) and many more. Check out `afl-fuzz -h`. +specific locations for the input file (`-f`), performing deterministic fuzzing +(`-D`) and many more. Check out `afl-fuzz -h`. We highly recommend that you set a memory limit for running the target with `-m` -which defines the maximum memory in MB. This prevents a potential -out-of-memory problem for your system plus helps you detect missing `malloc()` -failure handling in the target. -Play around with various -m values until you find one that safely works for all -your input seeds (if you have good ones and then double or quadrouple that. +which defines the maximum memory in MB. This prevents a potential out-of-memory +problem for your system plus helps you detect missing `malloc()` failure +handling in the target. Play around with various -m values until you find one +that safely works for all your input seeds (if you have good ones and then +double or quadruple that. -By default afl-fuzz never stops fuzzing. To terminate AFL++ simply press Control-C -or send a signal SIGINT. You can limit the number of executions or approximate runtime -in seconds with options also. +By default afl-fuzz never stops fuzzing. To terminate AFL++ simply press +Control-C or send a signal SIGINT. You can limit the number of executions or +approximate runtime in seconds with options also. When you start afl-fuzz you will see a user interface that shows what the status is: @@ -426,67 +429,67 @@ All labels are explained in [status_screen.md](status_screen.md). #### b) Using multiple cores -If you want to seriously fuzz then use as many cores/threads as possible to -fuzz your target. +If you want to seriously fuzz then use as many cores/threads as possible to fuzz +your target. On the same machine - due to the design of how AFL++ works - there is a maximum -number of CPU cores/threads that are useful, use more and the overall performance -degrades instead. This value depends on the target, and the limit is between 32 -and 64 cores per machine. +number of CPU cores/threads that are useful, use more and the overall +performance degrades instead. This value depends on the target, and the limit is +between 32 and 64 cores per machine. If you have the RAM, it is highly recommended run the instances with a caching -of the testcases. Depending on the average testcase size (and those found -during fuzzing) and their number, a value between 50-500MB is recommended. -You can set the cache size (in MB) by setting the environment variable `AFL_TESTCACHE_SIZE`. +of the test cases. Depending on the average test case size (and those found +during fuzzing) and their number, a value between 50-500MB is recommended. You +can set the cache size (in MB) by setting the environment variable +`AFL_TESTCACHE_SIZE`. -There should be one main fuzzer (`-M main-$HOSTNAME` option) and as many secondary -fuzzers (eg `-S variant1`) as you have cores that you use. -Every -M/-S entry needs a unique name (that can be whatever), however the same --o output directory location has to be used for all instances. +There should be one main fuzzer (`-M main-$HOSTNAME` option) and as many +secondary fuzzers (e.g. `-S variant1`) as you have cores that you use. Every +-M/-S entry needs a unique name (that can be whatever), however, the same -o +output directory location has to be used for all instances. For every secondary fuzzer there should be a variation, e.g.: - * one should fuzz the target that was compiled differently: with sanitizers - activated (`export AFL_USE_ASAN=1 ; export AFL_USE_UBSAN=1 ; - export AFL_USE_CFISAN=1`) - * one or two should fuzz the target with CMPLOG/redqueen (see above), at - least one cmplog instance should follow transformations (`-l AT`) - * one to three fuzzers should fuzz a target compiled with laf-intel/COMPCOV - (see above). Important note: If you run more than one laf-intel/COMPCOV - fuzzer and you want them to share their intermediate results, the main - fuzzer (`-M`) must be one of the them! (Although this is not really - recommended.) +* one should fuzz the target that was compiled differently: with sanitizers + activated (`export AFL_USE_ASAN=1 ; export AFL_USE_UBSAN=1 ; export + AFL_USE_CFISAN=1`) +* one or two should fuzz the target with CMPLOG/redqueen (see above), at least + one cmplog instance should follow transformations (`-l AT`) +* one to three fuzzers should fuzz a target compiled with laf-intel/COMPCOV (see + above). Important note: If you run more than one laf-intel/COMPCOV fuzzer and + you want them to share their intermediate results, the main fuzzer (`-M`) must + be one of the them! (Although this is not really recommended.) All other secondaries should be used like this: - * A quarter to a third with the MOpt mutator enabled: `-L 0` - * run with a different power schedule, recommended are: - `fast (default), explore, coe, lin, quad, exploit and rare` - which you can set with e.g. `-p explore` - * a few instances should use the old queue cycling with `-Z` +* a quarter to a third with the MOpt mutator enabled: `-L 0` +* run with a different power schedule, recommended are: + `fast (default), explore, coe, lin, quad, exploit and rare` which you can set + with e.g. `-p explore` +* a few instances should use the old queue cycling with `-Z` -Also it is recommended to set `export AFL_IMPORT_FIRST=1` to load testcases +Also, it is recommended to set `export AFL_IMPORT_FIRST=1` to load test cases from other fuzzers in the campaign first. If you have a large corpus, a corpus from a previous run or are fuzzing in a CI, then also set `export AFL_CMPLOG_ONLY_NEW=1` and `export AFL_FAST_CAL=1`. -You can also use different fuzzers. -If you are using AFL spinoffs or AFL conforming fuzzers, then just use the -same -o directory and give it a unique `-S` name. -Examples are: - * [Fuzzolic](https://github.com/season-lab/fuzzolic) - * [symcc](https://github.com/eurecom-s3/symcc/) - * [Eclipser](https://github.com/SoftSec-KAIST/Eclipser/) - * [AFLsmart](https://github.com/aflsmart/aflsmart) - * [FairFuzz](https://github.com/carolemieux/afl-rb) - * [Neuzz](https://github.com/Dongdongshe/neuzz) - * [Angora](https://github.com/AngoraFuzzer/Angora) - -A long list can be found at [https://github.com/Microsvuln/Awesome-AFL](https://github.com/Microsvuln/Awesome-AFL) - -However you can also sync AFL++ with honggfuzz, libfuzzer with `-entropic=1`, etc. -Just show the main fuzzer (-M) with the `-F` option where the queue/work -directory of a different fuzzer is, e.g. `-F /src/target/honggfuzz`. -Using honggfuzz (with `-n 1` or `-n 2`) and libfuzzer in parallel is highly +You can also use different fuzzers. If you are using AFL spinoffs or AFL +conforming fuzzers, then just use the same -o directory and give it a unique +`-S` name. Examples are: +* [Fuzzolic](https://github.com/season-lab/fuzzolic) +* [symcc](https://github.com/eurecom-s3/symcc/) +* [Eclipser](https://github.com/SoftSec-KAIST/Eclipser/) +* [AFLsmart](https://github.com/aflsmart/aflsmart) +* [FairFuzz](https://github.com/carolemieux/afl-rb) +* [Neuzz](https://github.com/Dongdongshe/neuzz) +* [Angora](https://github.com/AngoraFuzzer/Angora) + +A long list can be found at +[https://github.com/Microsvuln/Awesome-AFL](https://github.com/Microsvuln/Awesome-AFL). + +However, you can also sync AFL++ with honggfuzz, libfuzzer with `-entropic=1`, +etc. Just show the main fuzzer (-M) with the `-F` option where the queue/work +directory of a different fuzzer is, e.g. `-F /src/target/honggfuzz`. Using +honggfuzz (with `-n 1` or `-n 2`) and libfuzzer in parallel is highly recommended! #### c) Using multiple machines for fuzzing @@ -498,26 +501,24 @@ instance per server, and that its name is unique, hence the recommendation for `-M main-$HOSTNAME`. Now there are three strategies on how you can sync between the servers: - * never: sounds weird, but this makes every server an island and has the - chance the each follow different paths into the target. You can make - this even more interesting by even giving different seeds to each server. - * regularly (~4h): this ensures that all fuzzing campaigns on the servers - "see" the same thing. It is like fuzzing on a huge server. - * in intervals of 1/10th of the overall expected runtime of the fuzzing you - sync. This tries a bit to combine both. have some individuality of the - paths each campaign on a server explores, on the other hand if one - gets stuck where another found progress this is handed over making it - unstuck. - -The syncing process itself is very simple. -As the `-M main-$HOSTNAME` instance syncs to all `-S` secondaries as well -as to other fuzzers, you have to copy only this directory to the other -machines. - -Lets say all servers have the `-o out` directory in /target/foo/out, and -you created a file `servers.txt` which contains the hostnames of all -participating servers, plus you have an ssh key deployed to all of them, -then run: +* never: sounds weird, but this makes every server an island and has the chance + the each follow different paths into the target. You can make this even more + interesting by even giving different seeds to each server. +* regularly (~4h): this ensures that all fuzzing campaigns on the servers "see" + the same thing. It is like fuzzing on a huge server. +* in intervals of 1/10th of the overall expected runtime of the fuzzing you + sync. This tries a bit to combine both. have some individuality of the paths + each campaign on a server explores, on the other hand if one gets stuck where + another found progress this is handed over making it unstuck. + +The syncing process itself is very simple. As the `-M main-$HOSTNAME` instance +syncs to all `-S` secondaries as well as to other fuzzers, you have to copy only +this directory to the other machines. + +Lets say all servers have the `-o out` directory in /target/foo/out, and you +created a file `servers.txt` which contains the hostnames of all participating +servers, plus you have an ssh key deployed to all of them, then run: + ```bash for FROM in `cat servers.txt`; do for TO in `cat servers.txt`; do @@ -525,49 +526,52 @@ for FROM in `cat servers.txt`; do done done ``` -You can run this manually, per cron job - as you need it. -There is a more complex and configurable script in `utils/distributed_fuzzing`. + +You can run this manually, per cron job - as you need it. There is a more +complex and configurable script in `utils/distributed_fuzzing`. #### d) The status of the fuzz campaign AFL++ comes with the `afl-whatsup` script to show the status of the fuzzing campaign. -Just supply the directory that afl-fuzz is given with the -o option and -you will see a detailed status of every fuzzer in that campaign plus -a summary. +Just supply the directory that afl-fuzz is given with the -o option and you will +see a detailed status of every fuzzer in that campaign plus a summary. -To have only the summary use the `-s` switch e.g.: `afl-whatsup -s out/` +To have only the summary, use the `-s` switch, e.g. `afl-whatsup -s out/`. -If you have multiple servers then use the command after a sync, or you have -to execute this script per server. +If you have multiple servers, then use the command after a sync or you have to +execute this script per server. -Another tool to inspect the current state and history of a specific instance -is afl-plot, which generates an index.html file and a graphs that show how -the fuzzing instance is performing. -The syntax is `afl-plot instance_dir web_dir`, e.g. `afl-plot out/default /srv/www/htdocs/plot` +Another tool to inspect the current state and history of a specific instance is +afl-plot, which generates an index.html file and a graphs that show how the +fuzzing instance is performing. The syntax is `afl-plot instance_dir web_dir`, +e.g. `afl-plot out/default /srv/www/htdocs/plot`. #### e) Stopping fuzzing, restarting fuzzing, adding new seeds To stop an afl-fuzz run, simply press Control-C. -To restart an afl-fuzz run, just reuse the same command line but replace the -`-i directory` with `-i -` or set `AFL_AUTORESUME=1`. +To restart an afl-fuzz run, just reuse the same command line but replace the `-i +directory` with `-i -` or set `AFL_AUTORESUME=1`. If you want to add new seeds to a fuzzing campaign you can run a temporary -fuzzing instance, e.g. when your main fuzzer is using `-o out` and the new -seeds are in `newseeds/` directory: +fuzzing instance, e.g. when your main fuzzer is using `-o out` and the new seeds +are in `newseeds/` directory: + ``` AFL_BENCH_JUST_ONE=1 AFL_FAST_CAL=1 afl-fuzz -i newseeds -o out -S newseeds -- ./target ``` #### f) Checking the coverage of the fuzzing -The `paths found` value is a bad indicator for checking how good the coverage is. +The `paths found` value is a bad indicator for checking how good the coverage +is. A better indicator - if you use default llvm instrumentation with at least -version 9 - is to use `afl-showmap` with the collect coverage option `-C` on -the output directory: +version 9 - is to use `afl-showmap` with the collect coverage option `-C` on the +output directory: + ``` $ afl-showmap -C -i out -o /dev/null -- ./target -params @@ ... @@ -578,53 +582,67 @@ $ afl-showmap -C -i out -o /dev/null -- ./target -params @@ l'. [+] A coverage of 4331 edges were achieved out of 9960 existing (43.48%) with 7849 input files. ``` + It is even better to check out the exact lines of code that have been reached - and which have not been found so far. -An "easy" helper script for this is [https://github.com/vanhauser-thc/afl-cov](https://github.com/vanhauser-thc/afl-cov), +An "easy" helper script for this is +[https://github.com/vanhauser-thc/afl-cov](https://github.com/vanhauser-thc/afl-cov), just follow the README of that separate project. If you see that an important area or a feature has not been covered so far then try to find an input that is able to reach that and start a new secondary in that fuzzing campaign with that seed as input, let it run for a few minutes, then terminate it. The main node will pick it up and make it available to the -other secondary nodes over time. Set `export AFL_NO_AFFINITY=1` or -`export AFL_TRY_AFFINITY=1` if you have no free core. +other secondary nodes over time. Set `export AFL_NO_AFFINITY=1` or `export +AFL_TRY_AFFINITY=1` if you have no free core. Note that in nearly all cases you can never reach full coverage. A lot of -functionality is usually dependent on exclusive options that would need individual -fuzzing campaigns each with one of these options set. E.g. if you fuzz a library to -convert image formats and your target is the png to tiff API then you will not -touch any of the other library APIs and features. +functionality is usually dependent on exclusive options that would need +individual fuzzing campaigns each with one of these options set. E.g. if you +fuzz a library to convert image formats and your target is the png to tiff API +then you will not touch any of the other library APIs and features. #### g) How long to fuzz a target? -This is a difficult question. -Basically if no new path is found for a long time (e.g. for a day or a week) -then you can expect that your fuzzing won't be fruitful anymore. -However often this just means that you should switch out secondaries for -others, e.g. custom mutator modules, sync to very different fuzzers, etc. +This is a difficult question. Basically if no new path is found for a long time +(e.g. for a day or a week) then you can expect that your fuzzing won't be +fruitful anymore. However, often this just means that you should switch out +secondaries for others, e.g. custom mutator modules, sync to very different +fuzzers, etc. Keep the queue/ directory (for future fuzzings of the same or similar targets) -and use them to seed other good fuzzers like libfuzzer with the -entropic -switch or honggfuzz. +and use them to seed other good fuzzers like libfuzzer with the -entropic switch +or honggfuzz. #### h) Improve the speed! - * Use [persistent mode](../instrumentation/README.persistent_mode.md) (x2-x20 speed increase) - * If you do not use shmem persistent mode, use `AFL_TMPDIR` to point the input file on a tempfs location, see [env_variables.md](env_variables.md) - * Linux: Improve kernel performance: modify `/etc/default/grub`, set `GRUB_CMDLINE_LINUX_DEFAULT="ibpb=off ibrs=off kpti=off l1tf=off mds=off mitigations=off no_stf_barrier noibpb noibrs nopcid nopti nospec_store_bypass_disable nospectre_v1 nospectre_v2 pcid=off pti=off spec_store_bypass_disable=off spectre_v2=off stf_barrier=off"`; then `update-grub` and `reboot` (warning: makes the system more insecure) - you can also just run `sudo afl-persistent-config` - * Linux: Running on an `ext2` filesystem with `noatime` mount option will be a bit faster than on any other journaling filesystem - * Use your cores! [b) Using multiple cores](#b-using-multiple-cores) - * Run `sudo afl-system-config` before starting the first afl-fuzz instance after a reboot +* Use [persistent mode](../instrumentation/README.persistent_mode.md) (x2-x20 + speed increase) +* If you do not use shmem persistent mode, use `AFL_TMPDIR` to point the input + file on a tempfs location, see [env_variables.md](env_variables.md) +* Linux: Improve kernel performance: modify `/etc/default/grub`, set + `GRUB_CMDLINE_LINUX_DEFAULT="ibpb=off ibrs=off kpti=off l1tf=off mds=off + mitigations=off no_stf_barrier noibpb noibrs nopcid nopti + nospec_store_bypass_disable nospectre_v1 nospectre_v2 pcid=off pti=off + spec_store_bypass_disable=off spectre_v2=off stf_barrier=off"`; then + `update-grub` and `reboot` (warning: makes the system more insecure) - you can + also just run `sudo afl-persistent-config` +* Linux: Running on an `ext2` filesystem with `noatime` mount option will be a + bit faster than on any other journaling filesystem +* Use your cores! [b) Using multiple cores](#b-using-multiple-cores) +* Run `sudo afl-system-config` before starting the first afl-fuzz instance after + a reboot ### The End -Check out the [FAQ](FAQ.md) if it maybe answers your question (that -you might not even have known you had ;-) ). +Check out the [FAQ](FAQ.md) if it maybe answers your question (that you might +not even have known you had ;-) ). This is basically all you need to know to professionally run fuzzing campaigns. -If you want to know more, the tons of texts in [docs/](./) will have you covered. +If you want to know more, the tons of texts in [docs/](./) will have you +covered. Note that there are also a lot of tools out there that help fuzzing with AFL++ -(some might be deprecated or unsupported), see [third_party_tools.md](third_party_tools.md). \ No newline at end of file +(some might be deprecated or unsupported), see +[third_party_tools.md](third_party_tools.md). \ No newline at end of file diff --git a/docs/important_changes.md b/docs/important_changes.md index 0c5c2243..877dfab2 100644 --- a/docs/important_changes.md +++ b/docs/important_changes.md @@ -36,7 +36,7 @@ behaviours and defaults: shared libraries, etc. Additionally QEMU 5.1 supports more CPU targets so this is really worth it. * When instrumenting targets, afl-cc will not supersede optimizations anymore - if any were given. This allows to fuzz targets build regularly like those + if any were given. This allows to fuzz targets build regularly like those for debug or release versions. * afl-fuzz: * if neither -M or -S is specified, `-S default` is assumed, so more @@ -47,7 +47,7 @@ behaviours and defaults: * -m none is now default, set memory limits (in MB) with e.g. -m 250 * deterministic fuzzing is now disabled by default (unless using -M) and can be enabled with -D - * a caching of testcases can now be performed and can be modified by + * a caching of test cases can now be performed and can be modified by editing config.h for TESTCASE_CACHE or by specifying the env variable `AFL_TESTCACHE_SIZE` (in MB). Good values are between 50-500 (default: 50). * -M mains do not perform trimming diff --git a/docs/interpreting_output.md b/docs/interpreting_output.md deleted file mode 100644 index 4bd705f2..00000000 --- a/docs/interpreting_output.md +++ /dev/null @@ -1,71 +0,0 @@ -# Interpreting output - -See the [status_screen.md](status_screen.md) file for information on -how to interpret the displayed stats and monitor the health of the process. Be -sure to consult this file especially if any UI elements are highlighted in red. - -The fuzzing process will continue until you press Ctrl-C. At a minimum, you want -to allow the fuzzer to complete one queue cycle, which may take anywhere from a -couple of hours to a week or so. - -There are three subdirectories created within the output directory and updated -in real-time: - - - queue/ - test cases for every distinctive execution path, plus all the - starting files given by the user. This is the synthesized corpus - mentioned in section 2. - - Before using this corpus for any other purposes, you can shrink - it to a smaller size using the afl-cmin tool. The tool will find - a smaller subset of files offering equivalent edge coverage. - - - crashes/ - unique test cases that cause the tested program to receive a - fatal signal (e.g., SIGSEGV, SIGILL, SIGABRT). The entries are - grouped by the received signal. - - - hangs/ - unique test cases that cause the tested program to time out. The - default time limit before something is classified as a hang is - the larger of 1 second and the value of the -t parameter. - The value can be fine-tuned by setting AFL_HANG_TMOUT, but this - is rarely necessary. - -Crashes and hangs are considered "unique" if the associated execution paths -involve any state transitions not seen in previously-recorded faults. If a -single bug can be reached in multiple ways, there will be some count inflation -early in the process, but this should quickly taper off. - -The file names for crashes and hangs are correlated with the parent, non-faulting -queue entries. This should help with debugging. - -When you can't reproduce a crash found by afl-fuzz, the most likely cause is -that you are not setting the same memory limit as used by the tool. Try: - -```shell -LIMIT_MB=50 -( ulimit -Sv $[LIMIT_MB << 10]; /path/to/tested_binary ... ) -``` - -Change LIMIT_MB to match the -m parameter passed to afl-fuzz. On OpenBSD, -also change -Sv to -Sd. - -Any existing output directory can be also used to resume aborted jobs; try: - -```shell -./afl-fuzz -i- -o existing_output_dir [...etc...] -``` - -If you have gnuplot installed, you can also generate some pretty graphs for any -active fuzzing task using afl-plot. For an example of how this looks like, -see [https://lcamtuf.coredump.cx/afl/plot/](https://lcamtuf.coredump.cx/afl/plot/). - -You can also manually build and install afl-plot-ui, which is a helper utility -for showing the graphs generated by afl-plot in a graphical window using GTK. -You can build and install it as follows - -```shell -sudo apt install libgtk-3-0 libgtk-3-dev pkg-config -cd utils/plot_ui -make -cd ../../ -sudo make install -``` diff --git a/docs/status_screen.md b/docs/status_screen.md deleted file mode 100644 index b1cb9696..00000000 --- a/docs/status_screen.md +++ /dev/null @@ -1,444 +0,0 @@ -# Understanding the status screen - -This document provides an overview of the status screen - plus tips for -troubleshooting any warnings and red text shown in the UI. See README.md for -the general instruction manual. - -## A note about colors - -The status screen and error messages use colors to keep things readable and -attract your attention to the most important details. For example, red almost -always means "consult this doc" :-) - -Unfortunately, the UI will render correctly only if your terminal is using -traditional un*x palette (white text on black background) or something close -to that. - -If you are using inverse video, you may want to change your settings, say: - -- For GNOME Terminal, go to `Edit > Profile` preferences, select the "colors" tab, and from the list of built-in schemes, choose "white on black". -- For the MacOS X Terminal app, open a new window using the "Pro" scheme via the `Shell > New Window` menu (or make "Pro" your default). - -Alternatively, if you really like your current colors, you can edit config.h -to comment out USE_COLORS, then do `make clean all`. - -I'm not aware of any other simple way to make this work without causing -other side effects - sorry about that. - -With that out of the way, let's talk about what's actually on the screen... - -### The status bar - -``` -american fuzzy lop ++3.01a (default) [fast] {0} -``` - -The top line shows you which mode afl-fuzz is running in -(normal: "american fuzy lop", crash exploration mode: "peruvian rabbit mode") -and the version of AFL++. -Next to the version is the banner, which, if not set with -T by hand, will -either show the binary name being fuzzed, or the -M/-S main/secondary name for -parallel fuzzing. -Second to last is the power schedule mode being run (default: fast). -Finally, the last item is the CPU id. - -### Process timing - -``` - +----------------------------------------------------+ - | run time : 0 days, 8 hrs, 32 min, 43 sec | - | last new path : 0 days, 0 hrs, 6 min, 40 sec | - | last uniq crash : none seen yet | - | last uniq hang : 0 days, 1 hrs, 24 min, 32 sec | - +----------------------------------------------------+ -``` - -This section is fairly self-explanatory: it tells you how long the fuzzer has -been running and how much time has elapsed since its most recent finds. This is -broken down into "paths" (a shorthand for test cases that trigger new execution -patterns), crashes, and hangs. - -When it comes to timing: there is no hard rule, but most fuzzing jobs should be -expected to run for days or weeks; in fact, for a moderately complex project, the -first pass will probably take a day or so. Every now and then, some jobs -will be allowed to run for months. - -There's one important thing to watch out for: if the tool is not finding new -paths within several minutes of starting, you're probably not invoking the -target binary correctly and it never gets to parse the input files we're -throwing at it; another possible explanations are that the default memory limit -(`-m`) is too restrictive, and the program exits after failing to allocate a -buffer very early on; or that the input files are patently invalid and always -fail a basic header check. - -If there are no new paths showing up for a while, you will eventually see a big -red warning in this section, too :-) - -### Overall results - -``` - +-----------------------+ - | cycles done : 0 | - | total paths : 2095 | - | uniq crashes : 0 | - | uniq hangs : 19 | - +-----------------------+ -``` - -The first field in this section gives you the count of queue passes done so far - that is, the number of times the fuzzer went over all the interesting test -cases discovered so far, fuzzed them, and looped back to the very beginning. -Every fuzzing session should be allowed to complete at least one cycle; and -ideally, should run much longer than that. - -As noted earlier, the first pass can take a day or longer, so sit back and -relax. - -To help make the call on when to hit `Ctrl-C`, the cycle counter is color-coded. -It is shown in magenta during the first pass, progresses to yellow if new finds -are still being made in subsequent rounds, then blue when that ends - and -finally, turns green after the fuzzer hasn't been seeing any action for a -longer while. - -The remaining fields in this part of the screen should be pretty obvious: -there's the number of test cases ("paths") discovered so far, and the number of -unique faults. The test cases, crashes, and hangs can be explored in real-time -by browsing the output directory, as discussed in README.md. - -### Cycle progress - -``` - +-------------------------------------+ - | now processing : 1296 (61.86%) | - | paths timed out : 0 (0.00%) | - +-------------------------------------+ -``` - -This box tells you how far along the fuzzer is with the current queue cycle: it -shows the ID of the test case it is currently working on, plus the number of -inputs it decided to ditch because they were persistently timing out. - -The "*" suffix sometimes shown in the first line means that the currently -processed path is not "favored" (a property discussed later on). - -### Map coverage - -``` - +--------------------------------------+ - | map density : 10.15% / 29.07% | - | count coverage : 4.03 bits/tuple | - +--------------------------------------+ -``` - -The section provides some trivia about the coverage observed by the -instrumentation embedded in the target binary. - -The first line in the box tells you how many branch tuples we have already -hit, in proportion to how much the bitmap can hold. The number on the left -describes the current input; the one on the right is the value for the entire -input corpus. - -Be wary of extremes: - - - Absolute numbers below 200 or so suggest one of three things: that the - program is extremely simple; that it is not instrumented properly (e.g., - due to being linked against a non-instrumented copy of the target - library); or that it is bailing out prematurely on your input test cases. - The fuzzer will try to mark this in pink, just to make you aware. - - Percentages over 70% may very rarely happen with very complex programs - that make heavy use of template-generated code. - Because high bitmap density makes it harder for the fuzzer to reliably - discern new program states, I recommend recompiling the binary with - `AFL_INST_RATIO=10` or so and trying again (see env_variables.md). - The fuzzer will flag high percentages in red. Chances are, you will never - see that unless you're fuzzing extremely hairy software (say, v8, perl, - ffmpeg). - -The other line deals with the variability in tuple hit counts seen in the -binary. In essence, if every taken branch is always taken a fixed number of -times for all the inputs we have tried, this will read `1.00`. As we manage -to trigger other hit counts for every branch, the needle will start to move -toward `8.00` (every bit in the 8-bit map hit), but will probably never -reach that extreme. - -Together, the values can be useful for comparing the coverage of several -different fuzzing jobs that rely on the same instrumented binary. - -### Stage progress - -``` - +-------------------------------------+ - | now trying : interest 32/8 | - | stage execs : 3996/34.4k (11.62%) | - | total execs : 27.4M | - | exec speed : 891.7/sec | - +-------------------------------------+ -``` - -This part gives you an in-depth peek at what the fuzzer is actually doing right -now. It tells you about the current stage, which can be any of: - - - calibration - a pre-fuzzing stage where the execution path is examined - to detect anomalies, establish baseline execution speed, and so on. Executed - very briefly whenever a new find is being made. - - trim L/S - another pre-fuzzing stage where the test case is trimmed to the - shortest form that still produces the same execution path. The length (L) - and stepover (S) are chosen in general relationship to file size. - - bitflip L/S - deterministic bit flips. There are L bits toggled at any given - time, walking the input file with S-bit increments. The current L/S variants - are: `1/1`, `2/1`, `4/1`, `8/8`, `16/8`, `32/8`. - - arith L/8 - deterministic arithmetics. The fuzzer tries to subtract or add - small integers to 8-, 16-, and 32-bit values. The stepover is always 8 bits. - - interest L/8 - deterministic value overwrite. The fuzzer has a list of known - "interesting" 8-, 16-, and 32-bit values to try. The stepover is 8 bits. - - extras - deterministic injection of dictionary terms. This can be shown as - "user" or "auto", depending on whether the fuzzer is using a user-supplied - dictionary (`-x`) or an auto-created one. You will also see "over" or "insert", - depending on whether the dictionary words overwrite existing data or are - inserted by offsetting the remaining data to accommodate their length. - - havoc - a sort-of-fixed-length cycle with stacked random tweaks. The - operations attempted during this stage include bit flips, overwrites with - random and "interesting" integers, block deletion, block duplication, plus - assorted dictionary-related operations (if a dictionary is supplied in the - first place). - - splice - a last-resort strategy that kicks in after the first full queue - cycle with no new paths. It is equivalent to 'havoc', except that it first - splices together two random inputs from the queue at some arbitrarily - selected midpoint. - - sync - a stage used only when `-M` or `-S` is set (see parallel_fuzzing.md). - No real fuzzing is involved, but the tool scans the output from other - fuzzers and imports test cases as necessary. The first time this is done, - it may take several minutes or so. - -The remaining fields should be fairly self-evident: there's the exec count -progress indicator for the current stage, a global exec counter, and a -benchmark for the current program execution speed. This may fluctuate from -one test case to another, but the benchmark should be ideally over 500 execs/sec -most of the time - and if it stays below 100, the job will probably take very -long. - -The fuzzer will explicitly warn you about slow targets, too. If this happens, -see the [perf_tips.md](perf_tips.md) file included with the fuzzer for ideas on how to speed -things up. - -### Findings in depth - -``` - +--------------------------------------+ - | favored paths : 879 (41.96%) | - | new edges on : 423 (20.19%) | - | total crashes : 0 (0 unique) | - | total tmouts : 24 (19 unique) | - +--------------------------------------+ -``` - -This gives you several metrics that are of interest mostly to complete nerds. -The section includes the number of paths that the fuzzer likes the most based -on a minimization algorithm baked into the code (these will get considerably -more air time), and the number of test cases that actually resulted in better -edge coverage (versus just pushing the branch hit counters up). There are also -additional, more detailed counters for crashes and timeouts. - -Note that the timeout counter is somewhat different from the hang counter; this -one includes all test cases that exceeded the timeout, even if they did not -exceed it by a margin sufficient to be classified as hangs. - -### Fuzzing strategy yields - -``` - +-----------------------------------------------------+ - | bit flips : 57/289k, 18/289k, 18/288k | - | byte flips : 0/36.2k, 4/35.7k, 7/34.6k | - | arithmetics : 53/2.54M, 0/537k, 0/55.2k | - | known ints : 8/322k, 12/1.32M, 10/1.70M | - | dictionary : 9/52k, 1/53k, 1/24k | - |havoc/splice : 1903/20.0M, 0/0 | - |py/custom/rq : unused, 53/2.54M, unused | - | trim/eff : 20.31%/9201, 17.05% | - +-----------------------------------------------------+ -``` - -This is just another nerd-targeted section keeping track of how many paths we -have netted, in proportion to the number of execs attempted, for each of the -fuzzing strategies discussed earlier on. This serves to convincingly validate -assumptions about the usefulness of the various approaches taken by afl-fuzz. - -The trim strategy stats in this section are a bit different than the rest. -The first number in this line shows the ratio of bytes removed from the input -files; the second one corresponds to the number of execs needed to achieve this -goal. Finally, the third number shows the proportion of bytes that, although -not possible to remove, were deemed to have no effect and were excluded from -some of the more expensive deterministic fuzzing steps. - -Note that when deterministic mutation mode is off (which is the default -because it is not very efficient) the first five lines display -"disabled (default, enable with -D)". - -Only what is activated will have counter shown. - -### Path geometry - -``` - +---------------------+ - | levels : 5 | - | pending : 1570 | - | pend fav : 583 | - | own finds : 0 | - | imported : 0 | - | stability : 100.00% | - +---------------------+ -``` - -The first field in this section tracks the path depth reached through the -guided fuzzing process. In essence: the initial test cases supplied by the -user are considered "level 1". The test cases that can be derived from that -through traditional fuzzing are considered "level 2"; the ones derived by -using these as inputs to subsequent fuzzing rounds are "level 3"; and so forth. -The maximum depth is therefore a rough proxy for how much value you're getting -out of the instrumentation-guided approach taken by afl-fuzz. - -The next field shows you the number of inputs that have not gone through any -fuzzing yet. The same stat is also given for "favored" entries that the fuzzer -really wants to get to in this queue cycle (the non-favored entries may have to -wait a couple of cycles to get their chance). - -Next, we have the number of new paths found during this fuzzing section and -imported from other fuzzer instances when doing parallelized fuzzing; and the -extent to which identical inputs appear to sometimes produce variable behavior -in the tested binary. - -That last bit is actually fairly interesting: it measures the consistency of -observed traces. If a program always behaves the same for the same input data, -it will earn a score of 100%. When the value is lower but still shown in purple, -the fuzzing process is unlikely to be negatively affected. If it goes into red, -you may be in trouble, since AFL will have difficulty discerning between -meaningful and "phantom" effects of tweaking the input file. - -Now, most targets will just get a 100% score, but when you see lower figures, -there are several things to look at: - - - The use of uninitialized memory in conjunction with some intrinsic sources - of entropy in the tested binary. Harmless to AFL, but could be indicative - of a security bug. - - Attempts to manipulate persistent resources, such as left over temporary - files or shared memory objects. This is usually harmless, but you may want - to double-check to make sure the program isn't bailing out prematurely. - Running out of disk space, SHM handles, or other global resources can - trigger this, too. - - Hitting some functionality that is actually designed to behave randomly. - Generally harmless. For example, when fuzzing sqlite, an input like - `select random();` will trigger a variable execution path. - - Multiple threads executing at once in semi-random order. This is harmless - when the 'stability' metric stays over 90% or so, but can become an issue - if not. Here's what to try: - * Use afl-clang-fast from [instrumentation](../instrumentation/) - it uses a thread-local tracking - model that is less prone to concurrency issues, - * See if the target can be compiled or run without threads. Common - `./configure` options include `--without-threads`, `--disable-pthreads`, or - `--disable-openmp`. - * Replace pthreads with GNU Pth (https://www.gnu.org/software/pth/), which - allows you to use a deterministic scheduler. - - In persistent mode, minor drops in the "stability" metric can be normal, - because not all the code behaves identically when re-entered; but major - dips may signify that the code within `__AFL_LOOP()` is not behaving - correctly on subsequent iterations (e.g., due to incomplete clean-up or - reinitialization of the state) and that most of the fuzzing effort goes - to waste. - -The paths where variable behavior is detected are marked with a matching entry -in the `/queue/.state/variable_behavior/` directory, so you can look -them up easily. - -### CPU load - -``` - [cpu: 25%] -``` - -This tiny widget shows the apparent CPU utilization on the local system. It is -calculated by taking the number of processes in the "runnable" state, and then -comparing it to the number of logical cores on the system. - -If the value is shown in green, you are using fewer CPU cores than available on -your system and can probably parallelize to improve performance; for tips on -how to do that, see parallel_fuzzing.md. - -If the value is shown in red, your CPU is *possibly* oversubscribed, and -running additional fuzzers may not give you any benefits. - -Of course, this benchmark is very simplistic; it tells you how many processes -are ready to run, but not how resource-hungry they may be. It also doesn't -distinguish between physical cores, logical cores, and virtualized CPUs; the -performance characteristics of each of these will differ quite a bit. - -If you want a more accurate measurement, you can run the `afl-gotcpu` utility from the command line. - -### Addendum: status and plot files - -For unattended operation, some of the key status screen information can be also -found in a machine-readable format in the fuzzer_stats file in the output -directory. This includes: - - - `start_time` - unix time indicating the start time of afl-fuzz - - `last_update` - unix time corresponding to the last update of this file - - `run_time` - run time in seconds to the last update of this file - - `fuzzer_pid` - PID of the fuzzer process - - `cycles_done` - queue cycles completed so far - - `cycles_wo_finds` - number of cycles without any new paths found - - `execs_done` - number of execve() calls attempted - - `execs_per_sec` - overall number of execs per second - - `paths_total` - total number of entries in the queue - - `paths_favored` - number of queue entries that are favored - - `paths_found` - number of entries discovered through local fuzzing - - `paths_imported` - number of entries imported from other instances - - `max_depth` - number of levels in the generated data set - - `cur_path` - currently processed entry number - - `pending_favs` - number of favored entries still waiting to be fuzzed - - `pending_total` - number of all entries waiting to be fuzzed - - `variable_paths` - number of test cases showing variable behavior - - `stability` - percentage of bitmap bytes that behave consistently - - `bitmap_cvg` - percentage of edge coverage found in the map so far - - `unique_crashes` - number of unique crashes recorded - - `unique_hangs` - number of unique hangs encountered - - `last_path` - seconds since the last path was found - - `last_crash` - seconds since the last crash was found - - `last_hang` - seconds since the last hang was found - - `execs_since_crash` - execs since the last crash was found - - `exec_timeout` - the -t command line value - - `slowest_exec_ms` - real time of the slowest execution in ms - - `peak_rss_mb` - max rss usage reached during fuzzing in MB - - `edges_found` - how many edges have been found - - `var_byte_count` - how many edges are non-deterministic - - `afl_banner` - banner text (e.g. the target name) - - `afl_version` - the version of AFL used - - `target_mode` - default, persistent, qemu, unicorn, non-instrumented - - `command_line` - full command line used for the fuzzing session - -Most of these map directly to the UI elements discussed earlier on. - -On top of that, you can also find an entry called `plot_data`, containing a -plottable history for most of these fields. If you have gnuplot installed, you -can turn this into a nice progress report with the included `afl-plot` tool. - - -### Addendum: Automatically send metrics with StatsD - -In a CI environment or when running multiple fuzzers, it can be tedious to -log into each of them or deploy scripts to read the fuzzer statistics. -Using `AFL_STATSD` (and the other related environment variables `AFL_STATSD_HOST`, -`AFL_STATSD_PORT`, `AFL_STATSD_TAGS_FLAVOR`) you can automatically send metrics -to your favorite StatsD server. Depending on your StatsD server you will be able -to monitor, trigger alerts or perform actions based on these metrics (e.g: alert on -slow exec/s for a new build, threshold of crashes, time since last crash > X, etc). - -The selected metrics are a subset of all the metrics found in the status and in -the plot file. The list is the following: `cycle_done`, `cycles_wo_finds`, -`execs_done`,`execs_per_sec`, `paths_total`, `paths_favored`, `paths_found`, -`paths_imported`, `max_depth`, `cur_path`, `pending_favs`, `pending_total`, -`variable_paths`, `unique_crashes`, `unique_hangs`, `total_crashes`, -`slowest_exec_ms`, `edges_found`, `var_byte_count`, `havoc_expansion`. -Their definitions can be found in the addendum above. - -When using multiple fuzzer instances with StatsD it is *strongly* recommended to setup -the flavor (AFL_STATSD_TAGS_FLAVOR) to match your StatsD server. This will allow you -to see individual fuzzer performance, detect bad ones, see the progress of each -strategy... diff --git a/docs/third_party_tools.md b/docs/third_party_tools.md index ba96d0ce..446d373c 100644 --- a/docs/third_party_tools.md +++ b/docs/third_party_tools.md @@ -1,12 +1,12 @@ # Tools that help fuzzing with AFL++ Speeding up fuzzing: - * [libfiowrapper](https://github.com/marekzmyslowski/libfiowrapper) - if the function you want to fuzz requires loading a file, this allows using the shared memory testcase feature :-) - recommended. + * [libfiowrapper](https://github.com/marekzmyslowski/libfiowrapper) - if the function you want to fuzz requires loading a file, this allows using the shared memory test case feature :-) - recommended. Minimization of test cases: * [afl-pytmin](https://github.com/ilsani/afl-pytmin) - a wrapper for afl-tmin that tries to speed up the process of minimization of a single test case by using many CPU cores. - * [afl-ddmin-mod](https://github.com/MarkusTeufelberger/afl-ddmin-mod) - a variation of afl-tmin based on the ddmin algorithm. - * [halfempty](https://github.com/googleprojectzero/halfempty) - is a fast utility for minimizing test cases by Tavis Ormandy based on parallelization. + * [afl-ddmin-mod](https://github.com/MarkusTeufelberger/afl-ddmin-mod) - a variation of afl-tmin based on the ddmin algorithm. + * [halfempty](https://github.com/googleprojectzero/halfempty) - is a fast utility for minimizing test cases by Tavis Ormandy based on parallelization. Distributed execution: * [disfuzz-afl](https://github.com/MartijnB/disfuzz-afl) - distributed fuzzing for AFL. diff --git a/qemu_mode/libqasan/README.md b/qemu_mode/libqasan/README.md index 4a241233..6a65c12b 100644 --- a/qemu_mode/libqasan/README.md +++ b/qemu_mode/libqasan/README.md @@ -19,7 +19,7 @@ finding capabilities during fuzzing) is WIP. ### When should I use QASan? If your target binary is PIC x86_64, you should also give a try to -[retrowrite](https://github.com/HexHive/retrowrite) for static rewriting. +[RetroWrite](https://github.com/HexHive/retrowrite) for static rewriting. If it fails, or if your binary is for another architecture, or you want to use persistent and snapshot mode, AFL++ QASan mode is what you want/have to use. diff --git a/unicorn_mode/samples/persistent/COMPILE.md b/unicorn_mode/samples/persistent/COMPILE.md index 111dfc54..9f2ae718 100644 --- a/unicorn_mode/samples/persistent/COMPILE.md +++ b/unicorn_mode/samples/persistent/COMPILE.md @@ -1,13 +1,16 @@ # C Sample This shows a simple persistent harness for unicornafl in C. -In contrast to the normal c harness, this harness manually resets the unicorn state on each new input. -Thanks to this, we can rerun the testcase in unicorn multiple times, without the need to fork again. +In contrast to the normal c harness, this harness manually resets the unicorn +state on each new input. +Thanks to this, we can rerun the test case in unicorn multiple times, without +the need to fork again. ## Compiling sample.c The target can be built using the `make` command. Just make sure you have built unicorn support first: + ```bash cd /path/to/afl/unicorn_mode ./build_unicorn_support.sh @@ -19,6 +22,7 @@ You don't need to compile persistent_target.c since a X86_64 binary version is pre-built and shipped in this sample folder. This file documents how the binary was built in case you want to rebuild it or recompile it for any reason. -The pre-built binary (persistent_target_x86_64.bin) was built using -g -O0 in gcc. +The pre-built binary (persistent_target_x86_64.bin) was built using -g -O0 in +gcc. -We then load the binary and we execute the main function directly. +We then load the binary and we execute the main function directly. \ No newline at end of file diff --git a/utils/aflpp_driver/README.md b/utils/aflpp_driver/README.md index 30e2412f..4560be2b 100644 --- a/utils/aflpp_driver/README.md +++ b/utils/aflpp_driver/README.md @@ -7,15 +7,15 @@ targets. Just do `afl-clang-fast++ -o fuzz fuzzer_harness.cc libAFLDriver.a [plus required linking]`. -You can also sneakily do this little trick: +You can also sneakily do this little trick: If this is the clang compile command to build for libfuzzer: `clang++ -o fuzz -fsanitize=fuzzer fuzzer_harness.cc -lfoo` then just switch `clang++` with `afl-clang-fast++` and our compiler will magically insert libAFLDriver.a :) -To use shared-memory testcases, you need nothing to do. -To use stdin testcases give `-` as the only command line parameter. -To use file input testcases give `@@` as the only command line parameter. +To use shared-memory test cases, you need nothing to do. +To use stdin test cases, give `-` as the only command line parameter. +To use file input test cases, give `@@` as the only command line parameter. IMPORTANT: if you use `afl-cmin` or `afl-cmin.bash` then either pass `-` or `@@` as command line parameters. @@ -30,8 +30,8 @@ are to be fuzzed in qemu_mode. So we compile them with clang/clang++, without `clang++ -o fuzz fuzzer_harness.cc libAFLQemuDriver.a [plus required linking]`. - Then just do (where the name of the binary is `fuzz`): + ``` AFL_QEMU_PERSISTENT_ADDR=0x$(nm fuzz | grep "T LLVMFuzzerTestOneInput" | awk '{print $1}') AFL_QEMU_PERSISTENT_HOOK=/path/to/aflpp_qemu_driver_hook.so afl-fuzz -Q ... -- ./fuzz` @@ -40,4 +40,4 @@ AFL_QEMU_PERSISTENT_HOOK=/path/to/aflpp_qemu_driver_hook.so afl-fuzz -Q ... -- . if you use afl-cmin or `afl-showmap -C` with the aflpp_qemu_driver you need to set the set same AFL_QEMU_... (or AFL_FRIDA_...) environment variables. If you want to use afl-showmap (without -C) or afl-cmin.bash then you may not -set these environment variables and rather set `AFL_QEMU_DRIVER_NO_HOOK=1`. +set these environment variables and rather set `AFL_QEMU_DRIVER_NO_HOOK=1`. \ No newline at end of file -- cgit 1.4.1 From 8b5eafe7c504e68e710244ae7e58b1809e6584d9 Mon Sep 17 00:00:00 2001 From: llzmb <46303940+llzmb@users.noreply.github.com> Date: Mon, 22 Nov 2021 19:56:39 +0100 Subject: Clean up docs folder --- docs/afl-fuzz_approach.md | 24 +- docs/features.md | 96 ++++--- docs/fuzzing_binary-only_targets.md | 99 ++++--- docs/limitations.md | 53 ++-- docs/parallel_fuzzing.md | 256 ----------------- docs/technical_details.md | 550 ------------------------------------ docs/third_party_tools.md | 68 +++-- docs/tutorials.md | 14 +- 8 files changed, 204 insertions(+), 956 deletions(-) delete mode 100644 docs/parallel_fuzzing.md delete mode 100644 docs/technical_details.md (limited to 'docs') diff --git a/docs/afl-fuzz_approach.md b/docs/afl-fuzz_approach.md index 57a275d9..e0d5a1c9 100644 --- a/docs/afl-fuzz_approach.md +++ b/docs/afl-fuzz_approach.md @@ -37,9 +37,10 @@ superior to blind fuzzing or coverage-only tools. ## Understanding the status screen -This document provides an overview of the status screen - plus tips for -troubleshooting any warnings and red text shown in the UI. See -[README.md](../README.md) for the general instruction manual. +This chapter provides an overview of the status screen - plus tips for +troubleshooting any warnings and red text shown in the UI. + +For the general instruction manual, see [README.md](../README.md). ### A note about colors @@ -47,7 +48,7 @@ The status screen and error messages use colors to keep things readable and attract your attention to the most important details. For example, red almost always means "consult this doc" :-) -Unfortunately, the UI will render correctly only if your terminal is using +Unfortunately, the UI will only render correctly if your terminal is using traditional un*x palette (white text on black background) or something close to that. @@ -61,7 +62,7 @@ If you are using inverse video, you may want to change your settings, say: Alternatively, if you really like your current colors, you can edit config.h to comment out USE_COLORS, then do `make clean all`. -I'm not aware of any other simple way to make this work without causing other +We are not aware of any other simple way to make this work without causing other side effects - sorry about that. With that out of the way, let's talk about what's actually on the screen... @@ -103,8 +104,8 @@ will be allowed to run for months. There's one important thing to watch out for: if the tool is not finding new paths within several minutes of starting, you're probably not invoking the target binary correctly and it never gets to parse the input files we're -throwing at it; another possible explanations are that the default memory limit -(`-m`) is too restrictive, and the program exits after failing to allocate a +throwing at it; other possible explanations are that the default memory limit +(`-m`) is too restrictive and the program exits after failing to allocate a buffer very early on; or that the input files are patently invalid and always fail a basic header check. @@ -124,9 +125,9 @@ red warning in this section, too :-) The first field in this section gives you the count of queue passes done so far - that is, the number of times the fuzzer went over all the interesting test -cases discovered so far, fuzzed them, and looped back to the very beginning. -Every fuzzing session should be allowed to complete at least one cycle; and -ideally, should run much longer than that. + cases discovered so far, fuzzed them, and looped back to the very beginning. + Every fuzzing session should be allowed to complete at least one cycle; and + ideally, should run much longer than that. As noted earlier, the first pass can take a day or longer, so sit back and relax. @@ -140,7 +141,8 @@ while. The remaining fields in this part of the screen should be pretty obvious: there's the number of test cases ("paths") discovered so far, and the number of unique faults. The test cases, crashes, and hangs can be explored in real-time -by browsing the output directory, as discussed in [README.md](../README.md). +by browsing the output directory, see +[#interpreting-output](#interpreting-output). ### Cycle progress diff --git a/docs/features.md b/docs/features.md index 05670e6f..35a869a9 100644 --- a/docs/features.md +++ b/docs/features.md @@ -1,49 +1,61 @@ # Important features of AFL++ - AFL++ supports llvm from 3.8 up to version 12, very fast binary fuzzing with QEMU 5.1 - with laf-intel and redqueen, frida mode, unicorn mode, gcc plugin, full *BSD, - Mac OS, Solaris and Android support and much, much, much more. +AFL++ supports llvm from 3.8 up to version 12, very fast binary fuzzing with +QEMU 5.1 with laf-intel and redqueen, frida mode, unicorn mode, gcc plugin, full +*BSD, Mac OS, Solaris and Android support and much, much, much more. - | Feature/Instrumentation | afl-gcc | llvm | gcc_plugin | frida_mode(9) | qemu_mode(10) |unicorn_mode(10) |coresight_mode(11)| - | -------------------------|:-------:|:---------:|:----------:|:----------------:|:----------------:|:----------------:|:----------------:| - | Threadsafe counters | | x(3) | | | | | | - | NeverZero | x86[_64]| x(1) | x | x | x | x | | - | Persistent Mode | | x | x | x86[_64]/arm64 | x86[_64]/arm[64] | x | | - | LAF-Intel / CompCov | | x | | | x86[_64]/arm[64] | x86[_64]/arm[64] | | - | CmpLog | | x | | x86[_64]/arm64 | x86[_64]/arm[64] | | | - | Selective Instrumentation| | x | x | x | x | | | - | Non-Colliding Coverage | | x(4) | | | (x)(5) | | | - | Ngram prev_loc Coverage | | x(6) | | | | | | - | Context Coverage | | x(6) | | | | | | - | Auto Dictionary | | x(7) | | | | | | - | Snapshot LKM Support | | (x)(8) | (x)(8) | | (x)(5) | | | - | Shared Memory Test cases | | x | x | x86[_64]/arm64 | x | x | | +| Feature/Instrumentation | afl-gcc | llvm | gcc_plugin | frida_mode(9) | qemu_mode(10) |unicorn_mode(10) |coresight_mode(11)| +| -------------------------|:-------:|:---------:|:----------:|:----------------:|:----------------:|:----------------:|:----------------:| +| Threadsafe counters | | x(3) | | | | | | +| NeverZero | x86[_64]| x(1) | x | x | x | x | | +| Persistent Mode | | x | x | x86[_64]/arm64 | x86[_64]/arm[64] | x | | +| LAF-Intel / CompCov | | x | | | x86[_64]/arm[64] | x86[_64]/arm[64] | | +| CmpLog | | x | | x86[_64]/arm64 | x86[_64]/arm[64] | | | +| Selective Instrumentation| | x | x | x | x | | | +| Non-Colliding Coverage | | x(4) | | | (x)(5) | | | +| Ngram prev_loc Coverage | | x(6) | | | | | | +| Context Coverage | | x(6) | | | | | | +| Auto Dictionary | | x(7) | | | | | | +| Snapshot LKM Support | | (x)(8) | (x)(8) | | (x)(5) | | | +| Shared Memory Test cases | | x | x | x86[_64]/arm64 | x | x | | - 1. default for LLVM >= 9.0, env var for older version due an efficiency bug in previous llvm versions - 2. GCC creates non-performant code, hence it is disabled in gcc_plugin - 3. with `AFL_LLVM_THREADSAFE_INST`, disables NeverZero - 4. with pcguard mode and LTO mode for LLVM 11 and newer - 5. upcoming, development in the branch - 6. not compatible with LTO instrumentation and needs at least LLVM v4.1 - 7. automatic in LTO mode with LLVM 11 and newer, an extra pass for all LLVM versions that write to a file to use with afl-fuzz' `-x` - 8. the snapshot LKM is currently unmaintained due to too many kernel changes coming too fast :-( - 9. frida mode is supported on Linux and MacOS for Intel and ARM - 10. QEMU/Unicorn is only supported on Linux - 11. Coresight mode is only available on AARCH64 Linux with a CPU with Coresight extension +1. default for LLVM >= 9.0, env var for older version due an efficiency bug in + previous llvm versions +2. GCC creates non-performant code, hence it is disabled in gcc_plugin +3. with `AFL_LLVM_THREADSAFE_INST`, disables NeverZero +4. with pcguard mode and LTO mode for LLVM 11 and newer +5. upcoming, development in the branch +6. not compatible with LTO instrumentation and needs at least LLVM v4.1 +7. automatic in LTO mode with LLVM 11 and newer, an extra pass for all LLVM + versions that write to a file to use with afl-fuzz' `-x` +8. the snapshot LKM is currently unmaintained due to too many kernel changes + coming too fast :-( +9. frida mode is supported on Linux and MacOS for Intel and ARM +10. QEMU/Unicorn is only supported on Linux +11. Coresight mode is only available on AARCH64 Linux with a CPU with Coresight + extension - Among others, the following features and patches have been integrated: +Among others, the following features and patches have been integrated: - * NeverZero patch for afl-gcc, instrumentation, qemu_mode and unicorn_mode which prevents a wrapping map value to zero, increases coverage - * Persistent mode, deferred forkserver and in-memory fuzzing for qemu_mode - * Unicorn mode which allows fuzzing of binaries from completely different platforms (integration provided by domenukk) - * The new CmpLog instrumentation for LLVM and QEMU inspired by [Redqueen](https://www.syssec.ruhr-uni-bochum.de/media/emma/veroeffentlichungen/2018/12/17/NDSS19-Redqueen.pdf) - * Win32 PE binary-only fuzzing with QEMU and Wine - * AFLfast's power schedules by Marcel Böhme: [https://github.com/mboehme/aflfast](https://github.com/mboehme/aflfast) - * The MOpt mutator: [https://github.com/puppet-meteor/MOpt-AFL](https://github.com/puppet-meteor/MOpt-AFL) - * LLVM mode Ngram coverage by Adrian Herrera [https://github.com/adrianherrera/afl-ngram-pass](https://github.com/adrianherrera/afl-ngram-pass) - * LAF-Intel/CompCov support for instrumentation, qemu_mode and unicorn_mode (with enhanced capabilities) - * Radamsa and honggfuzz mutators (as custom mutators). - * QBDI mode to fuzz android native libraries via Quarkslab's [QBDI](https://github.com/QBDI/QBDI) framework - * Frida and ptrace mode to fuzz binary-only libraries, etc. +* NeverZero patch for afl-gcc, instrumentation, qemu_mode and unicorn_mode which + prevents a wrapping map value to zero, increases coverage +* Persistent mode, deferred forkserver and in-memory fuzzing for qemu_mode +* Unicorn mode which allows fuzzing of binaries from completely different + platforms (integration provided by domenukk) +* The new CmpLog instrumentation for LLVM and QEMU inspired by + [Redqueen](https://www.syssec.ruhr-uni-bochum.de/media/emma/veroeffentlichungen/2018/12/17/NDSS19-Redqueen.pdf) +* Win32 PE binary-only fuzzing with QEMU and Wine +* AFLfast's power schedules by Marcel Böhme: + [https://github.com/mboehme/aflfast](https://github.com/mboehme/aflfast) +* The MOpt mutator: + [https://github.com/puppet-meteor/MOpt-AFL](https://github.com/puppet-meteor/MOpt-AFL) +* LLVM mode Ngram coverage by Adrian Herrera + [https://github.com/adrianherrera/afl-ngram-pass](https://github.com/adrianherrera/afl-ngram-pass) +* LAF-Intel/CompCov support for instrumentation, qemu_mode and unicorn_mode + (with enhanced capabilities) +* Radamsa and honggfuzz mutators (as custom mutators). +* QBDI mode to fuzz android native libraries via Quarkslab's + [QBDI](https://github.com/QBDI/QBDI) framework +* Frida and ptrace mode to fuzz binary-only libraries, etc. - So all in all this is the best-of AFL that is out there :-) \ No newline at end of file +So all in all this is the best-of AFL that is out there :-) \ No newline at end of file diff --git a/docs/fuzzing_binary-only_targets.md b/docs/fuzzing_binary-only_targets.md index 0b39042f..4490660d 100644 --- a/docs/fuzzing_binary-only_targets.md +++ b/docs/fuzzing_binary-only_targets.md @@ -84,6 +84,8 @@ Wine, python3, and the pefile python package installed. It is included in AFL++. +For more information, see [qemu_mode/README.wine.md](../qemu_mode/README.wine.md). + ### Frida_mode In frida_mode, you can fuzz binary-only targets as easily as with QEMU. @@ -99,11 +101,13 @@ make ``` For additional instructions and caveats, see -[frida_mode/README.md](../frida_mode/README.md). If possible, you should use the -persistent mode, see [qemu_frida/README.md](../qemu_frida/README.md). The mode -is approximately 2-5x slower than compile-time instrumentation, and is less -conducive to parallelization. But for binary-only fuzzing, it gives a huge speed -improvement if it is possible to use. +[frida_mode/README.md](../frida_mode/README.md). + +If possible, you should use the persistent mode, see +[qemu_frida/README.md](../qemu_frida/README.md). The mode is approximately 2-5x +slower than compile-time instrumentation, and is less conducive to +parallelization. But for binary-only fuzzing, it gives a huge speed improvement +if it is possible to use. If you want to fuzz a binary-only library, then you can fuzz it with frida-gum via frida_mode/. You will have to write a harness to call the target function in @@ -154,8 +158,6 @@ and use afl-untracer.c as a template. It is slower than frida_mode. For more information, see [utils/afl_untracer/README.md](../utils/afl_untracer/README.md). -## Binary rewriters - ### Coresight Coresight is ARM's answer to Intel's PT. With AFL++ v3.15, there is a coresight @@ -163,6 +165,35 @@ tracer implementation available in `coresight_mode/` which is faster than QEMU, however, cannot run in parallel. Currently, only one process can be traced, it is WIP. +Fore more information, see +[coresight_mode/README.md](../coresight_mode/README.md). + +## Binary rewriters + +An alternative solution are binary rewriters. They are faster then the solutions native to AFL++ but don't always work. + +### ZAFL +ZAFL is a static rewriting platform supporting x86-64 C/C++, +stripped/unstripped, and PIE/non-PIE binaries. Beyond conventional +instrumentation, ZAFL's API enables transformation passes (e.g., laf-Intel, +context sensitivity, InsTrim, etc.). + +Its baseline instrumentation speed typically averages 90-95% of +afl-clang-fast's. + +[https://git.zephyr-software.com/opensrc/zafl](https://git.zephyr-software.com/opensrc/zafl) + +### RetroWrite + +If you have an x86/x86_64 binary that still has its symbols, is compiled with +position independent code (PIC/PIE), and does not use most of the C++ features, +then the RetroWrite solution might be for you. It decompiles to ASM files which +can then be instrumented with afl-gcc. + +It is at about 80-85% performance. + +[https://github.com/HexHive/retrowrite](https://github.com/HexHive/retrowrite) + ### Dyninst Dyninst is a binary instrumentation framework similar to Pintool and DynamoRIO. @@ -183,27 +214,6 @@ with afl-dyninst. [https://github.com/vanhauser-thc/afl-dyninst](https://github.com/vanhauser-thc/afl-dyninst) -### Intel PT - -If you have a newer Intel CPU, you can make use of Intel's processor trace. The -big issue with Intel's PT is the small buffer size and the complex encoding of -the debug information collected through PT. This makes the decoding very CPU -intensive and hence slow. As a result, the overall speed decrease is about -70-90% (depending on the implementation and other factors). - -There are two AFL intel-pt implementations: - -1. [https://github.com/junxzm1990/afl-pt](https://github.com/junxzm1990/afl-pt) - => This needs Ubuntu 14.04.05 without any updates and the 4.4 kernel. - -2. [https://github.com/hunter-ht-2018/ptfuzzer](https://github.com/hunter-ht-2018/ptfuzzer) - => This needs a 4.14 or 4.15 kernel. The "nopti" kernel boot option must be - used. This one is faster than the other. - -Note that there is also honggfuzz: -[https://github.com/google/honggfuzz](https://github.com/google/honggfuzz). But -its IPT performance is just 6%! - ### Mcsema Theoretically, you can also decompile to llvm IR with mcsema, and then use @@ -211,6 +221,8 @@ llvm_mode to instrument the binary. Good luck with that. [https://github.com/lifting-bits/mcsema](https://github.com/lifting-bits/mcsema) +## Binary tracers + ### Pintool & DynamoRIO Pintool and DynamoRIO are dynamic instrumentation engines. They can be used for @@ -236,27 +248,26 @@ Pintool solutions: * [https://github.com/spinpx/afl_pin_mode](https://github.com/spinpx/afl_pin_mode) <= only old Pintool version supported -### RetroWrite - -If you have an x86/x86_64 binary that still has its symbols, is compiled with -position independent code (PIC/PIE), and does not use most of the C++ features, -then the RetroWrite solution might be for you. It decompiles to ASM files which -can then be instrumented with afl-gcc. +### Intel PT -It is at about 80-85% performance. +If you have a newer Intel CPU, you can make use of Intel's processor trace. The +big issue with Intel's PT is the small buffer size and the complex encoding of +the debug information collected through PT. This makes the decoding very CPU +intensive and hence slow. As a result, the overall speed decrease is about +70-90% (depending on the implementation and other factors). -[https://github.com/HexHive/retrowrite](https://github.com/HexHive/retrowrite) +There are two AFL intel-pt implementations: -### ZAFL -ZAFL is a static rewriting platform supporting x86-64 C/C++, -stripped/unstripped, and PIE/non-PIE binaries. Beyond conventional -instrumentation, ZAFL's API enables transformation passes (e.g., laf-Intel, -context sensitivity, InsTrim, etc.). +1. [https://github.com/junxzm1990/afl-pt](https://github.com/junxzm1990/afl-pt) + => This needs Ubuntu 14.04.05 without any updates and the 4.4 kernel. -Its baseline instrumentation speed typically averages 90-95% of -afl-clang-fast's. +2. [https://github.com/hunter-ht-2018/ptfuzzer](https://github.com/hunter-ht-2018/ptfuzzer) + => This needs a 4.14 or 4.15 kernel. The "nopti" kernel boot option must be + used. This one is faster than the other. -[https://git.zephyr-software.com/opensrc/zafl](https://git.zephyr-software.com/opensrc/zafl) +Note that there is also honggfuzz: +[https://github.com/google/honggfuzz](https://github.com/google/honggfuzz). But +its IPT performance is just 6%! ## Non-AFL++ solutions diff --git a/docs/limitations.md b/docs/limitations.md index a68c0a85..8172a902 100644 --- a/docs/limitations.md +++ b/docs/limitations.md @@ -1,36 +1,37 @@ # Known limitations & areas for improvement -Here are some of the most important caveats for AFL: +Here are some of the most important caveats for AFL++: - - AFL++ detects faults by checking for the first spawned process dying due to - a signal (SIGSEGV, SIGABRT, etc). Programs that install custom handlers for - these signals may need to have the relevant code commented out. In the same - vein, faults in child processes spawned by the fuzzed target may evade - detection unless you manually add some code to catch that. +- AFL++ detects faults by checking for the first spawned process dying due to a + signal (SIGSEGV, SIGABRT, etc). Programs that install custom handlers for + these signals may need to have the relevant code commented out. In the same + vein, faults in child processes spawned by the fuzzed target may evade + detection unless you manually add some code to catch that. - - As with any other brute-force tool, the fuzzer offers limited coverage if - encryption, checksums, cryptographic signatures, or compression are used to - wholly wrap the actual data format to be tested. +- As with any other brute-force tool, the fuzzer offers limited coverage if + encryption, checksums, cryptographic signatures, or compression are used to + wholly wrap the actual data format to be tested. - To work around this, you can comment out the relevant checks (see - utils/libpng_no_checksum/ for inspiration); if this is not possible, - you can also write a postprocessor, one of the hooks of custom mutators. - See [custom_mutators.md](custom_mutators.md) on how to use - `AFL_CUSTOM_MUTATOR_LIBRARY` +To work around this, you can comment out the relevant checks (see +utils/libpng_no_checksum/ for inspiration); if this is not possible, you can +also write a postprocessor, one of the hooks of custom mutators. See +[custom_mutators.md](custom_mutators.md) on how to use +`AFL_CUSTOM_MUTATOR_LIBRARY`. - - There are some unfortunate trade-offs with ASAN and 64-bit binaries. This - isn't due to any specific fault of afl-fuzz. +- There are some unfortunate trade-offs with ASAN and 64-bit binaries. This + isn't due to any specific fault of afl-fuzz. - - There is no direct support for fuzzing network services, background - daemons, or interactive apps that require UI interaction to work. You may - need to make simple code changes to make them behave in a more traditional - way. Preeny may offer a relatively simple option, too - see: - [https://github.com/zardus/preeny](https://github.com/zardus/preeny) +- There is no direct support for fuzzing network services, background daemons, + or interactive apps that require UI interaction to work. You may need to make + simple code changes to make them behave in a more traditional way. Preeny may + offer a relatively simple option, too - see: + [https://github.com/zardus/preeny](https://github.com/zardus/preeny) - Some useful tips for modifying network-based services can be also found at: - [https://www.fastly.com/blog/how-to-fuzz-server-american-fuzzy-lop](https://www.fastly.com/blog/how-to-fuzz-server-american-fuzzy-lop) +Some useful tips for modifying network-based services can be also found at: +[https://www.fastly.com/blog/how-to-fuzz-server-american-fuzzy-lop](https://www.fastly.com/blog/how-to-fuzz-server-american-fuzzy-lop) - - Occasionally, sentient machines rise against their creators. If this - happens to you, please consult [https://lcamtuf.coredump.cx/prep/](https://lcamtuf.coredump.cx/prep/). +- Occasionally, sentient machines rise against their creators. If this happens + to you, please consult + [https://lcamtuf.coredump.cx/prep/](https://lcamtuf.coredump.cx/prep/). -Beyond this, see [INSTALL.md](INSTALL.md) for platform-specific tips. +Beyond this, see [INSTALL.md](INSTALL.md) for platform-specific tips. \ No newline at end of file diff --git a/docs/parallel_fuzzing.md b/docs/parallel_fuzzing.md deleted file mode 100644 index 130cb3ce..00000000 --- a/docs/parallel_fuzzing.md +++ /dev/null @@ -1,256 +0,0 @@ -# Tips for parallel fuzzing - -This document talks about synchronizing afl-fuzz jobs on a single machine or -across a fleet of systems. See README.md for the general instruction manual. - -Note that this document is rather outdated. please refer to the main document -section on multiple core usage -[fuzzing_in_depth.md:b) Using multiple cores](fuzzing_in_depth.md#b-using-multiple-cores) -for up to date strategies! - -## 1) Introduction - -Every copy of afl-fuzz will take up one CPU core. This means that on an n-core -system, you can almost always run around n concurrent fuzzing jobs with -virtually no performance hit (you can use the afl-gotcpu tool to make sure). - -In fact, if you rely on just a single job on a multi-core system, you will be -underutilizing the hardware. So, parallelization is always the right way to go. - -When targeting multiple unrelated binaries or using the tool in -"non-instrumented" (-n) mode, it is perfectly fine to just start up several -fully separate instances of afl-fuzz. The picture gets more complicated when you -want to have multiple fuzzers hammering a common target: if a hard-to-hit but -interesting test case is synthesized by one fuzzer, the remaining instances will -not be able to use that input to guide their work. - -To help with this problem, afl-fuzz offers a simple way to synchronize test -cases on the fly. - -It is a good idea to use different power schedules if you run several instances -in parallel (`-p` option). - -Alternatively running other AFL spinoffs in parallel can be of value, e.g. -Angora (https://github.com/AngoraFuzzer/Angora/) - -## 2) Single-system parallelization - -If you wish to parallelize a single job across multiple cores on a local system, -simply create a new, empty output directory ("sync dir") that will be shared by -all the instances of afl-fuzz; and then come up with a naming scheme for every -instance - say, "fuzzer01", "fuzzer02", etc. - -Run the first one ("main node", -M) like this: - -``` -./afl-fuzz -i testcase_dir -o sync_dir -M fuzzer01 [...other stuff...] -``` - -...and then, start up secondary (-S) instances like this: - -``` -./afl-fuzz -i testcase_dir -o sync_dir -S fuzzer02 [...other stuff...] -./afl-fuzz -i testcase_dir -o sync_dir -S fuzzer03 [...other stuff...] -``` - -Each fuzzer will keep its state in a separate subdirectory, like so: - - /path/to/sync_dir/fuzzer01/ - -Each instance will also periodically rescan the top-level sync directory for any -test cases found by other fuzzers - and will incorporate them into its own -fuzzing when they are deemed interesting enough. For performance reasons only -M -main node syncs the queue with everyone, the -S secondary nodes will only sync -from the main node. - -The difference between the -M and -S modes is that the main instance will still -perform deterministic checks; while the secondary instances will proceed -straight to random tweaks. - -Note that you must always have one -M main instance! Running multiple -M -instances is wasteful! - -You can also monitor the progress of your jobs from the command line with the -provided afl-whatsup tool. When the instances are no longer finding new paths, -it's probably time to stop. - -WARNING: Exercise caution when explicitly specifying the -f option. Each fuzzer -must use a separate temporary file; otherwise, things will go south. One safe -example may be: - -``` -./afl-fuzz [...] -S fuzzer10 -f file10.txt ./fuzzed/binary @@ -./afl-fuzz [...] -S fuzzer11 -f file11.txt ./fuzzed/binary @@ -./afl-fuzz [...] -S fuzzer12 -f file12.txt ./fuzzed/binary @@ -``` - -This is not a concern if you use @@ without -f and let afl-fuzz come up with the -file name. - -## 3) Multiple -M mains - - -There is support for parallelizing the deterministic checks. This is only needed -where - - 1. many new paths are found fast over a long time and it looks unlikely that - main node will ever catch up, and - 2. deterministic fuzzing is actively helping path discovery (you can see this - in the main node for the first for lines in the "fuzzing strategy yields" - section. If the ration `found/attempts` is high, then it is effective. It - most commonly isn't.) - -Only if both are true it is beneficial to have more than one main. You can -leverage this by creating -M instances like so: - -``` -./afl-fuzz -i testcase_dir -o sync_dir -M mainA:1/3 [...] -./afl-fuzz -i testcase_dir -o sync_dir -M mainB:2/3 [...] -./afl-fuzz -i testcase_dir -o sync_dir -M mainC:3/3 [...] -``` - -... where the first value after ':' is the sequential ID of a particular main -instance (starting at 1), and the second value is the total number of fuzzers to -distribute the deterministic fuzzing across. Note that if you boot up fewer -fuzzers than indicated by the second number passed to -M, you may end up with -poor coverage. - -## 4) Syncing with non-AFL fuzzers or independent instances - -A -M main node can be told with the `-F other_fuzzer_queue_directory` option to -sync results from other fuzzers, e.g. libfuzzer or honggfuzz. - -Only the specified directory will by synced into afl, not subdirectories. The -specified directory does not need to exist yet at the start of afl. - -The `-F` option can be passed to the main node several times. - -## 5) Multi-system parallelization - -The basic operating principle for multi-system parallelization is similar to the -mechanism explained in section 2. The key difference is that you need to write a -simple script that performs two actions: - - - Uses SSH with authorized_keys to connect to every machine and retrieve a tar - archive of the /path/to/sync_dir/ directory local to the - machine. It is best to use a naming scheme that includes host name and it's - being a main node (e.g. main1, main2) in the fuzzer ID, so that you can do - something like: - - ```sh - for host in `cat HOSTLIST`; do - ssh user@$host "tar -czf - sync/$host_main*/" > $host.tgz - done - ``` - - - Distributes and unpacks these files on all the remaining machines, e.g.: - - ```sh - for srchost in `cat HOSTLIST`; do - for dsthost in `cat HOSTLIST`; do - test "$srchost" = "$dsthost" && continue - ssh user@$srchost 'tar -kxzf -' < $dsthost.tgz - done - done - ``` - -There is an example of such a script in utils/distributed_fuzzing/. - -There are other (older) more featured, experimental tools: - * https://github.com/richo/roving - * https://github.com/MartijnB/disfuzz-afl - -However these do not support syncing just main nodes (yet). - -When developing custom test case sync code, there are several optimizations to -keep in mind: - - - The synchronization does not have to happen very often; running the task - every 60 minutes or even less often at later fuzzing stages is fine - - - There is no need to synchronize crashes/ or hangs/; you only need to copy - over queue/* (and ideally, also fuzzer_stats). - - - It is not necessary (and not advisable!) to overwrite existing files; the -k - option in tar is a good way to avoid that. - - - There is no need to fetch directories for fuzzers that are not running - locally on a particular machine, and were simply copied over onto that - system during earlier runs. - - - For large fleets, you will want to consolidate tarballs for each host, as - this will let you use n SSH connections for sync, rather than n*(n-1). - - You may also want to implement staged synchronization. For example, you - could have 10 groups of systems, with group 1 pushing test cases only to - group 2; group 2 pushing them only to group 3; and so on, with group - eventually 10 feeding back to group 1. - - This arrangement would allow test interesting cases to propagate across the - fleet without having to copy every fuzzer queue to every single host. - - - You do not want a "main" instance of afl-fuzz on every system; you should - run them all with -S, and just designate a single process somewhere within - the fleet to run with -M. - - - Syncing is only necessary for the main nodes on a system. It is possible to - run main-less with only secondaries. However then you need to find out which - secondary took over the temporary role to be the main node. Look for the - `is_main_node` file in the fuzzer directories, eg. - `sync-dir/hostname-*/is_main_node` - -It is *not* advisable to skip the synchronization script and run the fuzzers -directly on a network filesystem; unexpected latency and unkillable processes in -I/O wait state can mess things up. - -## 6) Remote monitoring and data collection - -You can use screen, nohup, tmux, or something equivalent to run remote instances -of afl-fuzz. If you redirect the program's output to a file, it will -automatically switch from a fancy UI to more limited status reports. There is -also basic machine-readable information which is always written to the -fuzzer_stats file in the output directory. Locally, that information can be -interpreted with afl-whatsup. - -In principle, you can use the status screen of the main (-M) instance to monitor -the overall fuzzing progress and decide when to stop. In this mode, the most -important signal is just that no new paths are being found for a longer while. -If you do not have a main instance, just pick any single secondary instance to -watch and go by that. - -You can also rely on that instance's output directory to collect the synthesized -corpus that covers all the noteworthy paths discovered anywhere within the -fleet. Secondary (-S) instances do not require any special monitoring, other -than just making sure that they are up. - -Keep in mind that crashing inputs are *not* automatically propagated to the main -instance, so you may still want to monitor for crashes fleet-wide from within -your synchronization or health checking scripts (see afl-whatsup). - -## 7) Asymmetric setups - -It is perhaps worth noting that all of the following is permitted: - - - Running afl-fuzz with conjunction with other guided tools that can extend - coverage (e.g., via concolic execution). Third-party tools simply need to - follow the protocol described above for pulling new test cases from - out_dir//queue/* and writing their own finds to sequentially - numbered id:nnnnnn files in out_dir//queue/*. - - - Running some of the synchronized fuzzers with different (but related) target - binaries. For example, simultaneously stress-testing several different JPEG - parsers (say, IJG jpeg and libjpeg-turbo) while sharing the discovered test - cases can have synergistic effects and improve the overall coverage. - - (In this case, running one -M instance per target is necessary.) - - - Having some of the fuzzers invoke the binary in different ways. For example, - 'djpeg' supports several DCT modes, configurable with a command-line flag, - while 'dwebp' supports incremental and one-shot decoding. In some scenarios, - going after multiple distinct modes and then pooling test cases will improve - coverage. - - - Much less convincingly, running the synchronized fuzzers with different - starting test cases (e.g., progressive and standard JPEG) or dictionaries. - The synchronization mechanism ensures that the test sets will get fairly - homogeneous over time, but it introduces some initial variability. \ No newline at end of file diff --git a/docs/technical_details.md b/docs/technical_details.md deleted file mode 100644 index 994ffe9f..00000000 --- a/docs/technical_details.md +++ /dev/null @@ -1,550 +0,0 @@ -# Technical "whitepaper" for afl-fuzz - - -NOTE: this document is mostly outdated! - - -This document provides a quick overview of the guts of American Fuzzy Lop. -See README.md for the general instruction manual; and for a discussion of -motivations and design goals behind AFL, see historical_notes.md. - -## 0. Design statement - -American Fuzzy Lop does its best not to focus on any singular principle of -operation and not be a proof-of-concept for any specific theory. The tool can -be thought of as a collection of hacks that have been tested in practice, -found to be surprisingly effective, and have been implemented in the simplest, -most robust way I could think of at the time. - -Many of the resulting features are made possible thanks to the availability of -lightweight instrumentation that served as a foundation for the tool, but this -mechanism should be thought of merely as a means to an end. The only true -governing principles are speed, reliability, and ease of use. - -## 1. Coverage measurements - -The instrumentation injected into compiled programs captures branch (edge) -coverage, along with coarse branch-taken hit counts. The code injected at -branch points is essentially equivalent to: - -```c - cur_location = ; - shared_mem[cur_location ^ prev_location]++; - prev_location = cur_location >> 1; -``` - -The `cur_location` value is generated randomly to simplify the process of -linking complex projects and keep the XOR output distributed uniformly. - -The `shared_mem[]` array is a 64 kB SHM region passed to the instrumented binary -by the caller. Every byte set in the output map can be thought of as a hit for -a particular (`branch_src`, `branch_dst`) tuple in the instrumented code. - -The size of the map is chosen so that collisions are sporadic with almost all -of the intended targets, which usually sport between 2k and 10k discoverable -branch points: - -``` - Branch cnt | Colliding tuples | Example targets - ------------+------------------+----------------- - 1,000 | 0.75% | giflib, lzo - 2,000 | 1.5% | zlib, tar, xz - 5,000 | 3.5% | libpng, libwebp - 10,000 | 7% | libxml - 20,000 | 14% | sqlite - 50,000 | 30% | - -``` - -At the same time, its size is small enough to allow the map to be analyzed -in a matter of microseconds on the receiving end, and to effortlessly fit -within L2 cache. - -This form of coverage provides considerably more insight into the execution -path of the program than simple block coverage. In particular, it trivially -distinguishes between the following execution traces: - -``` - A -> B -> C -> D -> E (tuples: AB, BC, CD, DE) - A -> B -> D -> C -> E (tuples: AB, BD, DC, CE) -``` - -This aids the discovery of subtle fault conditions in the underlying code, -because security vulnerabilities are more often associated with unexpected -or incorrect state transitions than with merely reaching a new basic block. - -The reason for the shift operation in the last line of the pseudocode shown -earlier in this section is to preserve the directionality of tuples (without -this, A ^ B would be indistinguishable from B ^ A) and to retain the identity -of tight loops (otherwise, A ^ A would be obviously equal to B ^ B). - -The absence of simple saturating arithmetic opcodes on Intel CPUs means that -the hit counters can sometimes wrap around to zero. Since this is a fairly -unlikely and localized event, it's seen as an acceptable performance trade-off. - -### 2. Detecting new behaviors - -The fuzzer maintains a global map of tuples seen in previous executions; this -data can be rapidly compared with individual traces and updated in just a couple -of dword- or qword-wide instructions and a simple loop. - -When a mutated input produces an execution trace containing new tuples, the -corresponding input file is preserved and routed for additional processing -later on (see section #3). Inputs that do not trigger new local-scale state -transitions in the execution trace (i.e., produce no new tuples) are discarded, -even if their overall control flow sequence is unique. - -This approach allows for a very fine-grained and long-term exploration of -program state while not having to perform any computationally intensive and -fragile global comparisons of complex execution traces, and while avoiding the -scourge of path explosion. - -To illustrate the properties of the algorithm, consider that the second trace -shown below would be considered substantially new because of the presence of -new tuples (CA, AE): - -``` - #1: A -> B -> C -> D -> E - #2: A -> B -> C -> A -> E -``` - -At the same time, with #2 processed, the following pattern will not be seen -as unique, despite having a markedly different overall execution path: - -``` - #3: A -> B -> C -> A -> B -> C -> A -> B -> C -> D -> E -``` - -In addition to detecting new tuples, the fuzzer also considers coarse tuple -hit counts. These are divided into several buckets: - -``` - 1, 2, 3, 4-7, 8-15, 16-31, 32-127, 128+ -``` - -To some extent, the number of buckets is an implementation artifact: it allows -an in-place mapping of an 8-bit counter generated by the instrumentation to -an 8-position bitmap relied on by the fuzzer executable to keep track of the -already-seen execution counts for each tuple. - -Changes within the range of a single bucket are ignored; transition from one -bucket to another is flagged as an interesting change in program control flow, -and is routed to the evolutionary process outlined in the section below. - -The hit count behavior provides a way to distinguish between potentially -interesting control flow changes, such as a block of code being executed -twice when it was normally hit only once. At the same time, it is fairly -insensitive to empirically less notable changes, such as a loop going from -47 cycles to 48. The counters also provide some degree of "accidental" -immunity against tuple collisions in dense trace maps. - -The execution is policed fairly heavily through memory and execution time -limits; by default, the timeout is set at 5x the initially-calibrated -execution speed, rounded up to 20 ms. The aggressive timeouts are meant to -prevent dramatic fuzzer performance degradation by descending into tarpits -that, say, improve coverage by 1% while being 100x slower; we pragmatically -reject them and hope that the fuzzer will find a less expensive way to reach -the same code. Empirical testing strongly suggests that more generous time -limits are not worth the cost. - -## 3. Evolving the input queue - -Mutated test cases that produced new state transitions within the program are -added to the input queue and used as a starting point for future rounds of -fuzzing. They supplement, but do not automatically replace, existing finds. - -In contrast to more greedy genetic algorithms, this approach allows the tool -to progressively explore various disjoint and possibly mutually incompatible -features of the underlying data format, as shown in this image: - - ![gzip_coverage](./resources/afl_gzip.png) - -Several practical examples of the results of this algorithm are discussed -here: - - https://lcamtuf.blogspot.com/2014/11/pulling-jpegs-out-of-thin-air.html - https://lcamtuf.blogspot.com/2014/11/afl-fuzz-nobody-expects-cdata-sections.html - -The synthetic corpus produced by this process is essentially a compact -collection of "hmm, this does something new!" input files, and can be used to -seed any other testing processes down the line (for example, to manually -stress-test resource-intensive desktop apps). - -With this approach, the queue for most targets grows to somewhere between 1k -and 10k entries; approximately 10-30% of this is attributable to the discovery -of new tuples, and the remainder is associated with changes in hit counts. - -The following table compares the relative ability to discover file syntax and -explore program states when using several different approaches to guided -fuzzing. The instrumented target was GNU patch 2.7k.3 compiled with `-O3` and -seeded with a dummy text file; the session consisted of a single pass over the -input queue with afl-fuzz: - -``` - Fuzzer guidance | Blocks | Edges | Edge hit | Highest-coverage - strategy used | reached | reached | cnt var | test case generated - ------------------+---------+---------+----------+--------------------------- - (Initial file) | 156 | 163 | 1.00 | (none) - | | | | - Blind fuzzing S | 182 | 205 | 2.23 | First 2 B of RCS diff - Blind fuzzing L | 228 | 265 | 2.23 | First 4 B of -c mode diff - Block coverage | 855 | 1,130 | 1.57 | Almost-valid RCS diff - Edge coverage | 1,452 | 2,070 | 2.18 | One-chunk -c mode diff - AFL model | 1,765 | 2,597 | 4.99 | Four-chunk -c mode diff -``` - -The first entry for blind fuzzing ("S") corresponds to executing just a single -round of testing; the second set of figures ("L") shows the fuzzer running in a -loop for a number of execution cycles comparable with that of the instrumented -runs, which required more time to fully process the growing queue. - -Roughly similar results have been obtained in a separate experiment where the -fuzzer was modified to compile out all the random fuzzing stages and leave just -a series of rudimentary, sequential operations such as walking bit flips. -Because this mode would be incapable of altering the size of the input file, -the sessions were seeded with a valid unified diff: - -``` - Queue extension | Blocks | Edges | Edge hit | Number of unique - strategy used | reached | reached | cnt var | crashes found - ------------------+---------+---------+----------+------------------ - (Initial file) | 624 | 717 | 1.00 | - - | | | | - Blind fuzzing | 1,101 | 1,409 | 1.60 | 0 - Block coverage | 1,255 | 1,649 | 1.48 | 0 - Edge coverage | 1,259 | 1,734 | 1.72 | 0 - AFL model | 1,452 | 2,040 | 3.16 | 1 -``` - -At noted earlier on, some of the prior work on genetic fuzzing relied on -maintaining a single test case and evolving it to maximize coverage. At least -in the tests described above, this "greedy" approach appears to confer no -substantial benefits over blind fuzzing strategies. - -### 4. Culling the corpus - -The progressive state exploration approach outlined above means that some of -the test cases synthesized later on in the game may have edge coverage that -is a strict superset of the coverage provided by their ancestors. - -To optimize the fuzzing effort, AFL periodically re-evaluates the queue using a -fast algorithm that selects a smaller subset of test cases that still cover -every tuple seen so far, and whose characteristics make them particularly -favorable to the tool. - -The algorithm works by assigning every queue entry a score proportional to its -execution latency and file size; and then selecting lowest-scoring candidates -for each tuple. - -The tuples are then processed sequentially using a simple workflow: - - 1) Find next tuple not yet in the temporary working set, - 2) Locate the winning queue entry for this tuple, - 3) Register *all* tuples present in that entry's trace in the working set, - 4) Go to #1 if there are any missing tuples in the set. - -The generated corpus of "favored" entries is usually 5-10x smaller than the -starting data set. Non-favored entries are not discarded, but they are skipped -with varying probabilities when encountered in the queue: - - - If there are new, yet-to-be-fuzzed favorites present in the queue, 99% - of non-favored entries will be skipped to get to the favored ones. - - If there are no new favorites: - * If the current non-favored entry was fuzzed before, it will be skipped - 95% of the time. - * If it hasn't gone through any fuzzing rounds yet, the odds of skipping - drop down to 75%. - -Based on empirical testing, this provides a reasonable balance between queue -cycling speed and test case diversity. - -Slightly more sophisticated but much slower culling can be performed on input -or output corpora with `afl-cmin`. This tool permanently discards the redundant -entries and produces a smaller corpus suitable for use with `afl-fuzz` or -external tools. - -## 5. Trimming input files - -File size has a dramatic impact on fuzzing performance, both because large -files make the target binary slower, and because they reduce the likelihood -that a mutation would touch important format control structures, rather than -redundant data blocks. This is discussed in more detail in perf_tips.md. - -The possibility that the user will provide a low-quality starting corpus aside, -some types of mutations can have the effect of iteratively increasing the size -of the generated files, so it is important to counter this trend. - -Luckily, the instrumentation feedback provides a simple way to automatically -trim down input files while ensuring that the changes made to the files have no -impact on the execution path. - -The built-in trimmer in afl-fuzz attempts to sequentially remove blocks of data -with variable length and stepover; any deletion that doesn't affect the checksum -of the trace map is committed to disk. The trimmer is not designed to be -particularly thorough; instead, it tries to strike a balance between precision -and the number of `execve()` calls spent on the process, selecting the block size -and stepover to match. The average per-file gains are around 5-20%. - -The standalone `afl-tmin` tool uses a more exhaustive, iterative algorithm, and -also attempts to perform alphabet normalization on the trimmed files. The -operation of `afl-tmin` is as follows. - -First, the tool automatically selects the operating mode. If the initial input -crashes the target binary, afl-tmin will run in non-instrumented mode, simply -keeping any tweaks that produce a simpler file but still crash the target. -The same mode is used for hangs, if `-H` (hang mode) is specified. -If the target is non-crashing, the tool uses an instrumented mode and keeps only -the tweaks that produce exactly the same execution path. - -The actual minimization algorithm is: - - 1) Attempt to zero large blocks of data with large stepovers. Empirically, - this is shown to reduce the number of execs by preempting finer-grained - efforts later on. - 2) Perform a block deletion pass with decreasing block sizes and stepovers, - binary-search-style. - 3) Perform alphabet normalization by counting unique characters and trying - to bulk-replace each with a zero value. - 4) As a last result, perform byte-by-byte normalization on non-zero bytes. - -Instead of zeroing with a 0x00 byte, `afl-tmin` uses the ASCII digit '0'. This -is done because such a modification is much less likely to interfere with -text parsing, so it is more likely to result in successful minimization of -text files. - -The algorithm used here is less involved than some other test case -minimization approaches proposed in academic work, but requires far fewer -executions and tends to produce comparable results in most real-world -applications. - -## 6. Fuzzing strategies - -The feedback provided by the instrumentation makes it easy to understand the -value of various fuzzing strategies and optimize their parameters so that they -work equally well across a wide range of file types. The strategies used by -afl-fuzz are generally format-agnostic and are discussed in more detail here: - - https://lcamtuf.blogspot.com/2014/08/binary-fuzzing-strategies-what-works.html - -It is somewhat notable that especially early on, most of the work done by -`afl-fuzz` is actually highly deterministic, and progresses to random stacked -modifications and test case splicing only at a later stage. The deterministic -strategies include: - - - Sequential bit flips with varying lengths and stepovers, - - Sequential addition and subtraction of small integers, - - Sequential insertion of known interesting integers (`0`, `1`, `INT_MAX`, etc), - -The purpose of opening with deterministic steps is related to their tendency to -produce compact test cases and small diffs between the non-crashing and crashing -inputs. - -With deterministic fuzzing out of the way, the non-deterministic steps include -stacked bit flips, insertions, deletions, arithmetics, and splicing of different -test cases. - -The relative yields and `execve()` costs of all these strategies have been -investigated and are discussed in the aforementioned blog post. - -For the reasons discussed in historical_notes.md (chiefly, performance, -simplicity, and reliability), AFL generally does not try to reason about the -relationship between specific mutations and program states; the fuzzing steps -are nominally blind, and are guided only by the evolutionary design of the -input queue. - -That said, there is one (trivial) exception to this rule: when a new queue -entry goes through the initial set of deterministic fuzzing steps, and tweaks to -some regions in the file are observed to have no effect on the checksum of the -execution path, they may be excluded from the remaining phases of -deterministic fuzzing - and the fuzzer may proceed straight to random tweaks. -Especially for verbose, human-readable data formats, this can reduce the number -of execs by 10-40% or so without an appreciable drop in coverage. In extreme -cases, such as normally block-aligned tar archives, the gains can be as high as -90%. - -Because the underlying "effector maps" are local every queue entry and remain -in force only during deterministic stages that do not alter the size or the -general layout of the underlying file, this mechanism appears to work very -reliably and proved to be simple to implement. - -## 7. Dictionaries - -The feedback provided by the instrumentation makes it easy to automatically -identify syntax tokens in some types of input files, and to detect that certain -combinations of predefined or auto-detected dictionary terms constitute a -valid grammar for the tested parser. - -A discussion of how these features are implemented within afl-fuzz can be found -here: - - https://lcamtuf.blogspot.com/2015/01/afl-fuzz-making-up-grammar-with.html - -In essence, when basic, typically easily-obtained syntax tokens are combined -together in a purely random manner, the instrumentation and the evolutionary -design of the queue together provide a feedback mechanism to differentiate -between meaningless mutations and ones that trigger new behaviors in the -instrumented code - and to incrementally build more complex syntax on top of -this discovery. - -The dictionaries have been shown to enable the fuzzer to rapidly reconstruct -the grammar of highly verbose and complex languages such as JavaScript, SQL, -or XML; several examples of generated SQL statements are given in the blog -post mentioned above. - -Interestingly, the AFL instrumentation also allows the fuzzer to automatically -isolate syntax tokens already present in an input file. It can do so by looking -for run of bytes that, when flipped, produce a consistent change to the -program's execution path; this is suggestive of an underlying atomic comparison -to a predefined value baked into the code. The fuzzer relies on this signal -to build compact "auto dictionaries" that are then used in conjunction with -other fuzzing strategies. - -## 8. De-duping crashes - -De-duplication of crashes is one of the more important problems for any -competent fuzzing tool. Many of the naive approaches run into problems; in -particular, looking just at the faulting address may lead to completely -unrelated issues being clustered together if the fault happens in a common -library function (say, `strcmp`, `strcpy`); while checksumming call stack -backtraces can lead to extreme crash count inflation if the fault can be -reached through a number of different, possibly recursive code paths. - -The solution implemented in `afl-fuzz` considers a crash unique if any of two -conditions are met: - - - The crash trace includes a tuple not seen in any of the previous crashes, - - The crash trace is missing a tuple that was always present in earlier - faults. - -The approach is vulnerable to some path count inflation early on, but exhibits -a very strong self-limiting effect, similar to the execution path analysis -logic that is the cornerstone of `afl-fuzz`. - -## 9. Investigating crashes - -The exploitability of many types of crashes can be ambiguous; afl-fuzz tries -to address this by providing a crash exploration mode where a known-faulting -test case is fuzzed in a manner very similar to the normal operation of the -fuzzer, but with a constraint that causes any non-crashing mutations to be -thrown away. - -A detailed discussion of the value of this approach can be found here: - - https://lcamtuf.blogspot.com/2014/11/afl-fuzz-crash-exploration-mode.html - -The method uses instrumentation feedback to explore the state of the crashing -program to get past the ambiguous faulting condition and then isolate the -newly-found inputs for human review. - -On the subject of crashes, it is worth noting that in contrast to normal -queue entries, crashing inputs are *not* trimmed; they are kept exactly as -discovered to make it easier to compare them to the parent, non-crashing entry -in the queue. That said, `afl-tmin` can be used to shrink them at will. - -## 10 The fork server - -To improve performance, `afl-fuzz` uses a "fork server", where the fuzzed process -goes through `execve()`, linking, and libc initialization only once, and is then -cloned from a stopped process image by leveraging copy-on-write. The -implementation is described in more detail here: - - https://lcamtuf.blogspot.com/2014/10/fuzzing-binaries-without-execve.html - -The fork server is an integral aspect of the injected instrumentation and -simply stops at the first instrumented function to await commands from -`afl-fuzz`. - -With fast targets, the fork server can offer considerable performance gains, -usually between 1.5x and 2x. It is also possible to: - - - Use the fork server in manual ("deferred") mode, skipping over larger, - user-selected chunks of initialization code. It requires very modest - code changes to the targeted program, and With some targets, can - produce 10x+ performance gains. - - Enable "persistent" mode, where a single process is used to try out - multiple inputs, greatly limiting the overhead of repetitive `fork()` - calls. This generally requires some code changes to the targeted program, - but can improve the performance of fast targets by a factor of 5 or more - approximating the benefits of in-process fuzzing jobs while still - maintaining very robust isolation between the fuzzer process and the - targeted binary. - -## 11. Parallelization - -The parallelization mechanism relies on periodically examining the queues -produced by independently-running instances on other CPU cores or on remote -machines, and then selectively pulling in the test cases that, when tried -out locally, produce behaviors not yet seen by the fuzzer at hand. - -This allows for extreme flexibility in fuzzer setup, including running synced -instances against different parsers of a common data format, often with -synergistic effects. - -For more information about this design, see parallel_fuzzing.md. - -## 12. Binary-only instrumentation - -Instrumentation of black-box, binary-only targets is accomplished with the -help of a separately-built version of QEMU in "user emulation" mode. This also -allows the execution of cross-architecture code - say, ARM binaries on x86. - -QEMU uses basic blocks as translation units; the instrumentation is implemented -on top of this and uses a model roughly analogous to the compile-time hooks: - -```c - if (block_address > elf_text_start && block_address < elf_text_end) { - - cur_location = (block_address >> 4) ^ (block_address << 8); - shared_mem[cur_location ^ prev_location]++; - prev_location = cur_location >> 1; - - } -``` - -The shift-and-XOR-based scrambling in the second line is used to mask the -effects of instruction alignment. - -The start-up of binary translators such as QEMU, DynamoRIO, and PIN is fairly -slow; to counter this, the QEMU mode leverages a fork server similar to that -used for compiler-instrumented code, effectively spawning copies of an -already-initialized process paused at `_start`. - -First-time translation of a new basic block also incurs substantial latency. To -eliminate this problem, the AFL fork server is extended by providing a channel -between the running emulator and the parent process. The channel is used -to notify the parent about the addresses of any newly-encountered blocks and to -add them to the translation cache that will be replicated for future child -processes. - -As a result of these two optimizations, the overhead of the QEMU mode is -roughly 2-5x, compared to 100x+ for PIN. - -## 13. The `afl-analyze` tool - -The file format analyzer is a simple extension of the minimization algorithm -discussed earlier on; instead of attempting to remove no-op blocks, the tool -performs a series of walking byte flips and then annotates runs of bytes -in the input file. - -It uses the following classification scheme: - - - "No-op blocks" - segments where bit flips cause no apparent changes to - control flow. Common examples may be comment sections, pixel data within - a bitmap file, etc. - - "Superficial content" - segments where some, but not all, bitflips - produce some control flow changes. Examples may include strings in rich - documents (e.g., XML, RTF). - - "Critical stream" - a sequence of bytes where all bit flips alter control - flow in different but correlated ways. This may be compressed data, - non-atomically compared keywords or magic values, etc. - - "Suspected length field" - small, atomic integer that, when touched in - any way, causes a consistent change to program control flow, suggestive - of a failed length check. - - "Suspected cksum or magic int" - an integer that behaves similarly to a - length field, but has a numerical value that makes the length explanation - unlikely. This is suggestive of a checksum or other "magic" integer. - - "Suspected checksummed block" - a long block of data where any change - always triggers the same new execution path. Likely caused by failing - a checksum or a similar integrity check before any subsequent parsing - takes place. - - "Magic value section" - a generic token where changes cause the type - of binary behavior outlined earlier, but that doesn't meet any of the - other criteria. May be an atomically compared keyword or so. diff --git a/docs/third_party_tools.md b/docs/third_party_tools.md index 446d373c..92229e84 100644 --- a/docs/third_party_tools.md +++ b/docs/third_party_tools.md @@ -1,33 +1,57 @@ # Tools that help fuzzing with AFL++ Speeding up fuzzing: - * [libfiowrapper](https://github.com/marekzmyslowski/libfiowrapper) - if the function you want to fuzz requires loading a file, this allows using the shared memory test case feature :-) - recommended. +* [libfiowrapper](https://github.com/marekzmyslowski/libfiowrapper) - if the + function you want to fuzz requires loading a file, this allows using the + shared memory test case feature :-) - recommended. Minimization of test cases: - * [afl-pytmin](https://github.com/ilsani/afl-pytmin) - a wrapper for afl-tmin that tries to speed up the process of minimization of a single test case by using many CPU cores. - * [afl-ddmin-mod](https://github.com/MarkusTeufelberger/afl-ddmin-mod) - a variation of afl-tmin based on the ddmin algorithm. - * [halfempty](https://github.com/googleprojectzero/halfempty) - is a fast utility for minimizing test cases by Tavis Ormandy based on parallelization. +* [afl-pytmin](https://github.com/ilsani/afl-pytmin) - a wrapper for afl-tmin + that tries to speed up the process of minimization of a single test case by + using many CPU cores. +* [afl-ddmin-mod](https://github.com/MarkusTeufelberger/afl-ddmin-mod) - a + variation of afl-tmin based on the ddmin algorithm. +* [halfempty](https://github.com/googleprojectzero/halfempty) - is a fast + utility for minimizing test cases by Tavis Ormandy based on parallelization. Distributed execution: - * [disfuzz-afl](https://github.com/MartijnB/disfuzz-afl) - distributed fuzzing for AFL. - * [AFLDFF](https://github.com/quantumvm/AFLDFF) - AFL distributed fuzzing framework. - * [afl-launch](https://github.com/bnagy/afl-launch) - a tool for the execution of many AFL instances. - * [afl-mothership](https://github.com/afl-mothership/afl-mothership) - management and execution of many synchronized AFL fuzzers on AWS cloud. - * [afl-in-the-cloud](https://github.com/abhisek/afl-in-the-cloud) - another script for running AFL in AWS. +* [disfuzz-afl](https://github.com/MartijnB/disfuzz-afl) - distributed fuzzing + for AFL. +* [AFLDFF](https://github.com/quantumvm/AFLDFF) - AFL distributed fuzzing + framework. +* [afl-launch](https://github.com/bnagy/afl-launch) - a tool for the execution + of many AFL instances. +* [afl-mothership](https://github.com/afl-mothership/afl-mothership) - + management and execution of many synchronized AFL fuzzers on AWS cloud. +* [afl-in-the-cloud](https://github.com/abhisek/afl-in-the-cloud) - another + script for running AFL in AWS. Deployment, management, monitoring, reporting - * [afl-utils](https://gitlab.com/rc0r/afl-utils) - a set of utilities for automatic processing/analysis of crashes and reducing the number of test cases. - * [afl-other-arch](https://github.com/shellphish/afl-other-arch) - is a set of patches and scripts for easily adding support for various non-x86 architectures for AFL. - * [afl-trivia](https://github.com/bnagy/afl-trivia) - a few small scripts to simplify the management of AFL. - * [afl-monitor](https://github.com/reflare/afl-monitor) - a script for monitoring AFL. - * [afl-manager](https://github.com/zx1340/afl-manager) - a web server on Python for managing multi-afl. - * [afl-remote](https://github.com/block8437/afl-remote) - a web server for the remote management of AFL instances. - * [afl-extras](https://github.com/fekir/afl-extras) - shell scripts to parallelize afl-tmin, startup, and data collection. +* [afl-utils](https://gitlab.com/rc0r/afl-utils) - a set of utilities for + automatic processing/analysis of crashes and reducing the number of test + cases. +* [afl-other-arch](https://github.com/shellphish/afl-other-arch) - is a set of + patches and scripts for easily adding support for various non-x86 + architectures for AFL. +* [afl-trivia](https://github.com/bnagy/afl-trivia) - a few small scripts to + simplify the management of AFL. +* [afl-monitor](https://github.com/reflare/afl-monitor) - a script for + monitoring AFL. +* [afl-manager](https://github.com/zx1340/afl-manager) - a web server on Python + for managing multi-afl. +* [afl-remote](https://github.com/block8437/afl-remote) - a web server for the + remote management of AFL instances. +* [afl-extras](https://github.com/fekir/afl-extras) - shell scripts to + parallelize afl-tmin, startup, and data collection. Crash processing - * [afl-crash-analyzer](https://github.com/floyd-fuh/afl-crash-analyzer) - another crash analyzer for AFL. - * [fuzzer-utils](https://github.com/ThePatrickStar/fuzzer-utils) - a set of scripts for the analysis of results. - * [atriage](https://github.com/Ayrx/atriage) - a simple triage tool. - * [afl-kit](https://github.com/kcwu/afl-kit) - afl-cmin on Python. - * [AFLize](https://github.com/d33tah/aflize) - a tool that automatically generates builds of debian packages suitable for AFL. - * [afl-fid](https://github.com/FoRTE-Research/afl-fid) - a set of tools for working with input data. \ No newline at end of file +* [afl-crash-analyzer](https://github.com/floyd-fuh/afl-crash-analyzer) - + another crash analyzer for AFL. +* [fuzzer-utils](https://github.com/ThePatrickStar/fuzzer-utils) - a set of + scripts for the analysis of results. +* [atriage](https://github.com/Ayrx/atriage) - a simple triage tool. +* [afl-kit](https://github.com/kcwu/afl-kit) - afl-cmin on Python. +* [AFLize](https://github.com/d33tah/aflize) - a tool that automatically + generates builds of debian packages suitable for AFL. +* [afl-fid](https://github.com/FoRTE-Research/afl-fid) - a set of tools for + working with input data. \ No newline at end of file diff --git a/docs/tutorials.md b/docs/tutorials.md index cc7ed130..ed8a7eec 100644 --- a/docs/tutorials.md +++ b/docs/tutorials.md @@ -1,6 +1,6 @@ # Tutorials -Here are some good writeups to show how to effectively use AFL++: +Here are some good write-ups to show how to effectively use AFL++: * [https://aflplus.plus/docs/tutorials/libxml2_tutorial/](https://aflplus.plus/docs/tutorials/libxml2_tutorial/) * [https://bananamafia.dev/post/gb-fuzz/](https://bananamafia.dev/post/gb-fuzz/) @@ -18,9 +18,13 @@ training, then we can highly recommend the following: If you are interested in fuzzing structured data (where you define what the structure is), these links have you covered: -* Superion for AFL++: [https://github.com/adrian-rt/superion-mutator](https://github.com/adrian-rt/superion-mutator) -* libprotobuf for AFL++: [https://github.com/P1umer/AFLplusplus-protobuf-mutator](https://github.com/P1umer/AFLplusplus-protobuf-mutator) -* libprotobuf raw: [https://github.com/bruce30262/libprotobuf-mutator_fuzzing_learning/tree/master/4_libprotobuf_aflpp_custom_mutator](https://github.com/bruce30262/libprotobuf-mutator_fuzzing_learning/tree/master/4_libprotobuf_aflpp_custom_mutator) -* libprotobuf for old AFL++ API: [https://github.com/thebabush/afl-libprotobuf-mutator](https://github.com/thebabush/afl-libprotobuf-mutator) +* Superion for AFL++: + [https://github.com/adrian-rt/superion-mutator](https://github.com/adrian-rt/superion-mutator) +* libprotobuf for AFL++: + [https://github.com/P1umer/AFLplusplus-protobuf-mutator](https://github.com/P1umer/AFLplusplus-protobuf-mutator) +* libprotobuf raw: + [https://github.com/bruce30262/libprotobuf-mutator_fuzzing_learning/tree/master/4_libprotobuf_aflpp_custom_mutator](https://github.com/bruce30262/libprotobuf-mutator_fuzzing_learning/tree/master/4_libprotobuf_aflpp_custom_mutator) +* libprotobuf for old AFL++ API: + [https://github.com/thebabush/afl-libprotobuf-mutator](https://github.com/thebabush/afl-libprotobuf-mutator) If you find other good ones, please send them to us :-) \ No newline at end of file -- cgit 1.4.1 From 10365a22bdd5b87711a859816a8a550a6481b038 Mon Sep 17 00:00:00 2001 From: llzmb <46303940+llzmb@users.noreply.github.com> Date: Mon, 22 Nov 2021 22:08:49 +0100 Subject: Merge ctx and ngram into llvm, fix references --- docs/env_variables.md | 7 +- docs/fuzzing_expert.md | 12 +-- instrumentation/README.ctx.md | 38 ------- instrumentation/README.llvm.md | 229 +++++++++++++++++++++++++--------------- instrumentation/README.ngram.md | 28 ----- 5 files changed, 152 insertions(+), 162 deletions(-) delete mode 100644 instrumentation/README.ctx.md delete mode 100644 instrumentation/README.ngram.md (limited to 'docs') diff --git a/docs/env_variables.md b/docs/env_variables.md index 65cca0dc..4386c5f8 100644 --- a/docs/env_variables.md +++ b/docs/env_variables.md @@ -171,7 +171,7 @@ config.h to at least 18 and maybe up to 20 for this as otherwise too many map collisions occur. For more information, see -[instrumentation/README.ctx.md](../instrumentation/README.ctx.md). +[instrumentation/README.llvm.md#6) AFL Context Sensitive Branch Coverage](../instrumentation/README.llvm.md#6-afl-context-sensitive-branch-coverage). #### INSTRUMENT LIST (selectively instrument files and functions) @@ -247,7 +247,7 @@ in config.h to at least 18 and maybe up to 20 for this as otherwise too many map collisions occur. For more information, see -[instrumentation/README.ngram.md](../instrumentation/README.ngram.md). +[instrumentation/README.llvm.md#7) AFL N-Gram Branch Coverage](../instrumentation/README.llvm.md#7-afl-n-gram-branch-coverage). #### NOT_ZERO @@ -261,9 +261,6 @@ For more information, see If the target performs only a few loops, then this will give a small performance boost. -For more information, see -[instrumentation/README.neverzero.md](../instrumentation/README.neverzero.md). - #### Thread safe instrumentation counters (in all modes) Setting `AFL_LLVM_THREADSAFE_INST` will inject code that implements thread safe diff --git a/docs/fuzzing_expert.md b/docs/fuzzing_expert.md index 876c5fbb..5945d114 100644 --- a/docs/fuzzing_expert.md +++ b/docs/fuzzing_expert.md @@ -112,12 +112,8 @@ are interested in: There are many more options and modes available however these are most of the time less effective. See: - * [instrumentation/README.ctx.md](../instrumentation/README.ctx.md) - * [instrumentation/README.ngram.md](../instrumentation/README.ngram.md) - -AFL++ performs "never zero" counting in its bitmap. You can read more about this -here: - * [instrumentation/README.neverzero.md](../instrumentation/README.neverzero.md) + * [instrumentation/README.llvm.md#6) AFL Context Sensitive Branch Coverage](../instrumentation/README.llvm.md#6-afl-context-sensitive-branch-coverage). + * [instrumentation/README.llvm.md#7) AFL N-Gram Branch Coverage](../instrumentation/README.llvm.md#7-afl-n-gram-branch-coverage) #### c) Sanitizers @@ -247,7 +243,7 @@ For meson you have to set the AFL++ compiler with the very first command! Sometimes cmake and configure do not pick up the AFL++ compiler, or the ranlib/ar that is needed - because this was just not foreseen by the developer -of the target. Or they have non-standard options. Figure out if there is a +of the target. Or they have non-standard options. Figure out if there is a non-standard way to set this, otherwise set up the build normally and edit the generated build environment afterwards manually to point it to the right compiler (and/or ranlib and ar). @@ -337,7 +333,7 @@ Note that this step is rather optional though. #### Done! -The INPUTS_UNIQUE/ directory from step b) - or even better the directory input/ +The INPUTS_UNIQUE/ directory from step b) - or even better the directory input/ if you minimized the corpus in step c) - is the resulting input corpus directory to be used in fuzzing! :-) diff --git a/instrumentation/README.ctx.md b/instrumentation/README.ctx.md deleted file mode 100644 index 335e9921..00000000 --- a/instrumentation/README.ctx.md +++ /dev/null @@ -1,38 +0,0 @@ -# AFL Context Sensitive Branch Coverage - -## What is this? - -This is an LLVM-based implementation of the context sensitive branch coverage. - -Basically every function gets its own ID and, every time when an edge is logged, -all the IDs in the callstack are hashed and combined with the edge transition -hash to augment the classic edge coverage with the information about the -calling context. - -So if both function A and function B call a function C, the coverage -collected in C will be different. - -In math the coverage is collected as follows: -`map[current_location_ID ^ previous_location_ID >> 1 ^ hash_callstack_IDs] += 1` - -The callstack hash is produced XOR-ing the function IDs to avoid explosion with -recursive functions. - -## Usage - -Set the `AFL_LLVM_INSTRUMENT=CTX` or `AFL_LLVM_CTX=1` environment variable. - -It is highly recommended to increase the MAP_SIZE_POW2 definition in -config.h to at least 18 and maybe up to 20 for this as otherwise too -many map collisions occur. - -## Caller Branch Coverage - -If the context sensitive coverage introduces too may collisions and becoming -detrimental, the user can choose to augment edge coverage with just the -called function ID, instead of the entire callstack hash. - -In math the coverage is collected as follows: -`map[current_location_ID ^ previous_location_ID >> 1 ^ previous_callee_ID] += 1` - -Set the `AFL_LLVM_INSTRUMENT=CALLER` or `AFL_LLVM_CALLER=1` environment variable. diff --git a/instrumentation/README.llvm.md b/instrumentation/README.llvm.md index dbb604f2..1671f385 100644 --- a/instrumentation/README.llvm.md +++ b/instrumentation/README.llvm.md @@ -1,72 +1,79 @@ # Fast LLVM-based instrumentation for afl-fuzz - (See [../README.md](../README.md) for the general instruction manual.) +For the general instruction manual, see [../README.md](../README.md). - (See [README.gcc_plugin.md](README.gcc_plugin.md) for the GCC-based instrumentation.) +For the GCC-based instrumentation, see +[README.gcc_plugin.md](README.gcc_plugin.md). ## 1) Introduction ! llvm_mode works with llvm versions 3.8 up to 13 ! -The code in this directory allows you to instrument programs for AFL using -true compiler-level instrumentation, instead of the more crude -assembly-level rewriting approach taken by afl-gcc and afl-clang. This has -several interesting properties: +The code in this directory allows you to instrument programs for AFL using true +compiler-level instrumentation, instead of the more crude assembly-level +rewriting approach taken by afl-gcc and afl-clang. This has several interesting +properties: - - The compiler can make many optimizations that are hard to pull off when - manually inserting assembly. As a result, some slow, CPU-bound programs will - run up to around 2x faster. +- The compiler can make many optimizations that are hard to pull off when + manually inserting assembly. As a result, some slow, CPU-bound programs will + run up to around 2x faster. - The gains are less pronounced for fast binaries, where the speed is limited - chiefly by the cost of creating new processes. In such cases, the gain will - probably stay within 10%. + The gains are less pronounced for fast binaries, where the speed is limited + chiefly by the cost of creating new processes. In such cases, the gain will + probably stay within 10%. - - The instrumentation is CPU-independent. At least in principle, you should - be able to rely on it to fuzz programs on non-x86 architectures (after - building afl-fuzz with AFL_NO_X86=1). +- The instrumentation is CPU-independent. At least in principle, you should be + able to rely on it to fuzz programs on non-x86 architectures (after building + afl-fuzz with AFL_NO_X86=1). - - The instrumentation can cope a bit better with multi-threaded targets. +- The instrumentation can cope a bit better with multi-threaded targets. - - Because the feature relies on the internals of LLVM, it is clang-specific - and will *not* work with GCC (see ../gcc_plugin/ for an alternative once - it is available). +- Because the feature relies on the internals of LLVM, it is clang-specific and + will *not* work with GCC (see ../gcc_plugin/ for an alternative once it is + available). Once this implementation is shown to be sufficiently robust and portable, it will probably replace afl-clang. For now, it can be built separately and co-exists with the original code. -The idea and much of the intial implementation came from Laszlo Szekeres. +The idea and much of the initial implementation came from Laszlo Szekeres. ## 2a) How to use this - short Set the `LLVM_CONFIG` variable to the clang version you want to use, e.g. + ``` LLVM_CONFIG=llvm-config-9 make ``` + In case you have your own compiled llvm version specify the full path: + ``` LLVM_CONFIG=~/llvm-project/build/bin/llvm-config make ``` + If you try to use a new llvm version on an old Linux this can fail because of old c++ libraries. In this case usually switching to gcc/g++ to compile llvm_mode will work: + ``` LLVM_CONFIG=llvm-config-7 REAL_CC=gcc REAL_CXX=g++ make ``` -It is highly recommended to use the newest clang version you can put your -hands on :) + +It is highly recommended to use the newest clang version you can put your hands +on :) Then look at [README.persistent_mode.md](README.persistent_mode.md). ## 2b) How to use this - long In order to leverage this mechanism, you need to have clang installed on your -system. You should also make sure that the llvm-config tool is in your path -(or pointed to via LLVM_CONFIG in the environment). +system. You should also make sure that the llvm-config tool is in your path (or +pointed to via LLVM_CONFIG in the environment). -Note that if you have several LLVM versions installed, pointing LLVM_CONFIG -to the version you want to use will switch compiling to this specific -version - if you installation is set up correctly :-) +Note that if you have several LLVM versions installed, pointing LLVM_CONFIG to +the version you want to use will switch compiling to this specific version - if +you installation is set up correctly :-) Unfortunately, some systems that do have clang come without llvm-config or the LLVM development headers; one example of this is FreeBSD. FreeBSD users will @@ -75,15 +82,15 @@ load modules (you'll see "Service unavailable" when loading afl-llvm-pass.so). To solve all your problems, you can grab pre-built binaries for your OS from: - https://llvm.org/releases/download.html +[https://llvm.org/releases/download.html](https://llvm.org/releases/download.html) ...and then put the bin/ directory from the tarball at the beginning of your $PATH when compiling the feature and building packages later on. You don't need to be root for that. -To build the instrumentation itself, type 'make'. This will generate binaries -called afl-clang-fast and afl-clang-fast++ in the parent directory. Once this -is done, you can instrument third-party code in a way similar to the standard +To build the instrumentation itself, type `make`. This will generate binaries +called afl-clang-fast and afl-clang-fast++ in the parent directory. Once this is +done, you can instrument third-party code in a way similar to the standard operating mode of AFL, e.g.: ``` @@ -93,81 +100,137 @@ operating mode of AFL, e.g.: Be sure to also include CXX set to afl-clang-fast++ for C++ code. -Note that afl-clang-fast/afl-clang-fast++ are just pointers to afl-cc. -You can also use afl-cc/afl-c++ and instead direct it to use LLVM -instrumentation by either setting `AFL_CC_COMPILER=LLVM` or pass the parameter -`--afl-llvm` via CFLAGS/CXXFLAGS/CPPFLAGS. +Note that afl-clang-fast/afl-clang-fast++ are just pointers to afl-cc. You can +also use afl-cc/afl-c++ and instead direct it to use LLVM instrumentation by +either setting `AFL_CC_COMPILER=LLVM` or pass the parameter `--afl-llvm` via +CFLAGS/CXXFLAGS/CPPFLAGS. The tool honors roughly the same environmental variables as afl-gcc (see [docs/env_variables.md](../docs/env_variables.md)). This includes AFL_USE_ASAN, -AFL_HARDEN, and AFL_DONT_OPTIMIZE. However AFL_INST_RATIO is not honored -as it does not serve a good purpose with the more effective PCGUARD analysis. +AFL_HARDEN, and AFL_DONT_OPTIMIZE. However AFL_INST_RATIO is not honored as it +does not serve a good purpose with the more effective PCGUARD analysis. ## 3) Options -Several options are present to make llvm_mode faster or help it rearrange -the code to make afl-fuzz path discovery easier. +Several options are present to make llvm_mode faster or help it rearrange the +code to make afl-fuzz path discovery easier. -If you need just to instrument specific parts of the code, you can the instrument file list -which C/C++ files to actually instrument. See [README.instrument_list.md](README.instrument_list.md) +If you need just to instrument specific parts of the code, you can the +instrument file list which C/C++ files to actually instrument. See +[README.instrument_list.md](README.instrument_list.md) -For splitting memcmp, strncmp, etc. please see [README.laf-intel.md](README.laf-intel.md) +For splitting memcmp, strncmp, etc. please see +[README.laf-intel.md](README.laf-intel.md) Then there are different ways of instrumenting the target: -1. An better instrumentation strategy uses LTO and link time -instrumentation. Note that not all targets can compile in this mode, however -if it works it is the best option you can use. -Simply use afl-clang-lto/afl-clang-lto++ to use this option. -See [README.lto.md](README.lto.md) +1. An better instrumentation strategy uses LTO and link time instrumentation. + Note that not all targets can compile in this mode, however if it works it is + the best option you can use. Simply use afl-clang-lto/afl-clang-lto++ to use + this option. See [README.lto.md](README.lto.md). -2. Alternativly you can choose a completely different coverage method: +2. Alternatively you can choose a completely different coverage method: -2a. N-GRAM coverage - which combines the previous visited edges with the -current one. This explodes the map but on the other hand has proven to be -effective for fuzzing. -See [README.ngram.md](README.ngram.md) +2a. N-GRAM coverage - which combines the previous visited edges with the current + one. This explodes the map but on the other hand has proven to be effective + for fuzzing. See + [7) AFL N-Gram Branch Coverage](#7-afl-n-gram-branch-coverage). 2b. Context sensitive coverage - which combines the visited edges with an -individual caller ID (the function that called the current one) -[README.ctx.md](README.ctx.md) + individual caller ID (the function that called the current one). See + [6) AFL Context Sensitive Branch Coverage](#6-afl-context-sensitive-branch-coverage). -Then - additionally to one of the instrumentation options above - there is -a very effective new instrumentation option called CmpLog as an alternative to -laf-intel that allow AFL++ to apply mutations similar to Redqueen. -See [README.cmplog.md](README.cmplog.md) +Then - additionally to one of the instrumentation options above - there is a +very effective new instrumentation option called CmpLog as an alternative to +laf-intel that allow AFL++ to apply mutations similar to Redqueen. See +[README.cmplog.md](README.cmplog.md). -Finally if your llvm version is 8 or lower, you can activate a mode that -prevents that a counter overflow result in a 0 value. This is good for -path discovery, but the llvm implementation for x86 for this functionality -is not optimal and was only fixed in llvm 9. -You can set this with AFL_LLVM_NOT_ZERO=1 -See [README.neverzero.md](README.neverzero.md) +Finally, if your llvm version is 8 or lower, you can activate a mode that +prevents that a counter overflow result in a 0 value. This is good for path +discovery, but the llvm implementation for x86 for this functionality is not +optimal and was only fixed in llvm 9. You can set this with AFL_LLVM_NOT_ZERO=1. -Support for thread safe counters has been added for all modes. -Activate it with `AFL_LLVM_THREADSAFE_INST=1`. The tradeoff is better precision -in multi threaded apps for a slightly higher instrumentation overhead. -This also disables the nozero counter default for performance reasons. +Support for thread safe counters has been added for all modes. Activate it with +`AFL_LLVM_THREADSAFE_INST=1`. The tradeoff is better precision in multi threaded +apps for a slightly higher instrumentation overhead. This also disables the +nozero counter default for performance reasons. -## 4) Snapshot feature +## 4) deferred initialization, persistent mode, shared memory fuzzing -To speed up fuzzing you can use a linux loadable kernel module which enables -a snapshot feature. -See [README.snapshot.md](README.snapshot.md) +This is the most powerful and effective fuzzing you can do. Please see +[README.persistent_mode.md](README.persistent_mode.md) for a full explanation. -## 5) Gotchas, feedback, bugs +## 5) Bonus feature: 'dict2file' pass -This is an early-stage mechanism, so field reports are welcome. You can send bug -reports to . +Just specify `AFL_LLVM_DICT2FILE=/absolute/path/file.txt` and during compilation +all constant string compare parameters will be written to this file to be used +with afl-fuzz' `-x` option. -## 6) deferred initialization, persistent mode, shared memory fuzzing +## 6) AFL Context Sensitive Branch Coverage -This is the most powerful and effective fuzzing you can do. -Please see [README.persistent_mode.md](README.persistent_mode.md) for a -full explanation. +### What is this? -## 7) Bonus feature: 'dict2file' pass +This is an LLVM-based implementation of the context sensitive branch coverage. -Just specify `AFL_LLVM_DICT2FILE=/absolute/path/file.txt` and during compilation -all constant string compare parameters will be written to this file to be -used with afl-fuzz' `-x` option. +Basically every function gets its own ID and, every time when an edge is logged, +all the IDs in the callstack are hashed and combined with the edge transition +hash to augment the classic edge coverage with the information about the calling +context. + +So if both function A and function B call a function C, the coverage collected +in C will be different. + +In math the coverage is collected as follows: `map[current_location_ID ^ +previous_location_ID >> 1 ^ hash_callstack_IDs] += 1` + +The callstack hash is produced XOR-ing the function IDs to avoid explosion with +recursive functions. + +### Usage + +Set the `AFL_LLVM_INSTRUMENT=CTX` or `AFL_LLVM_CTX=1` environment variable. + +It is highly recommended to increase the MAP_SIZE_POW2 definition in config.h to +at least 18 and maybe up to 20 for this as otherwise too many map collisions +occur. + +### Caller Branch Coverage + +If the context sensitive coverage introduces too may collisions and becoming +detrimental, the user can choose to augment edge coverage with just the called +function ID, instead of the entire callstack hash. + +In math the coverage is collected as follows: `map[current_location_ID ^ +previous_location_ID >> 1 ^ previous_callee_ID] += 1` + +Set the `AFL_LLVM_INSTRUMENT=CALLER` or `AFL_LLVM_CALLER=1` environment +variable. + +## 7) AFL N-Gram Branch Coverage + +### Source + +This is an LLVM-based implementation of the n-gram branch coverage proposed in +the paper +["Be Sensitive and Collaborative: Analyzing Impact of Coverage Metrics in Greybox Fuzzing"](https://www.usenix.org/system/files/raid2019-wang-jinghan.pdf) +by Jinghan Wang, et. al. + +Note that the original implementation (available +[here](https://github.com/bitsecurerlab/afl-sensitive)) is built on top of AFL's +qemu_mode. This is essentially a port that uses LLVM vectorized instructions +(available from llvm versions 4.0.1 and higher) to achieve the same results when +compiling source code. + +In math the branch coverage is performed as follows: `map[current_location ^ +prev_location[0] >> 1 ^ prev_location[1] >> 1 ^ ... up to n-1`] += 1` + +### Usage + +The size of `n` (i.e., the number of branches to remember) is an option that is +specified either in the `AFL_LLVM_INSTRUMENT=NGRAM-{value}` or the +`AFL_LLVM_NGRAM_SIZE` environment variable. Good values are 2, 4, or 8, valid +are 2-16. + +It is highly recommended to increase the MAP_SIZE_POW2 definition in config.h to +at least 18 and maybe up to 20 for this as otherwise too many map collisions +occur. \ No newline at end of file diff --git a/instrumentation/README.ngram.md b/instrumentation/README.ngram.md deleted file mode 100644 index da61ef32..00000000 --- a/instrumentation/README.ngram.md +++ /dev/null @@ -1,28 +0,0 @@ -# AFL N-Gram Branch Coverage - -## Source - -This is an LLVM-based implementation of the n-gram branch coverage proposed in -the paper ["Be Sensitive and Collaborative: Analzying Impact of Coverage Metrics -in Greybox Fuzzing"](https://www.usenix.org/system/files/raid2019-wang-jinghan.pdf), -by Jinghan Wang, et. al. - -Note that the original implementation (available -[here](https://github.com/bitsecurerlab/afl-sensitive)) -is built on top of AFL's QEMU mode. -This is essentially a port that uses LLVM vectorized instructions (available from -llvm versions 4.0.1 and higher) to achieve the same results when compiling source code. - -In math the branch coverage is performed as follows: -`map[current_location ^ prev_location[0] >> 1 ^ prev_location[1] >> 1 ^ ... up to n-1`] += 1` - -## Usage - -The size of `n` (i.e., the number of branches to remember) is an option -that is specified either in the `AFL_LLVM_INSTRUMENT=NGRAM-{value}` or the -`AFL_LLVM_NGRAM_SIZE` environment variable. -Good values are 2, 4 or 8, valid are 2-16. - -It is highly recommended to increase the MAP_SIZE_POW2 definition in -config.h to at least 18 and maybe up to 20 for this as otherwise too -many map collisions occur. -- cgit 1.4.1 From cfa89c6bc73abd06cca1b19ed8929426619c7bc8 Mon Sep 17 00:00:00 2001 From: llzmb <46303940+llzmb@users.noreply.github.com> Date: Tue, 23 Nov 2021 21:47:15 +0100 Subject: Update docs/fuzzing_binary-only_targets.md --- docs/fuzzing_binary-only_targets.md | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) (limited to 'docs') diff --git a/docs/fuzzing_binary-only_targets.md b/docs/fuzzing_binary-only_targets.md index 4490660d..290c9bec 100644 --- a/docs/fuzzing_binary-only_targets.md +++ b/docs/fuzzing_binary-only_targets.md @@ -74,7 +74,7 @@ Note that there is also honggfuzz: now has a qemu_mode, but its performance is just 1.5% ... If you like to code a customized fuzzer without much work, we highly recommend -to check out our sister project libafl which will support QEMU, too: +to check out our sister project libafl which supports QEMU, too: [https://github.com/AFLplusplus/LibAFL](https://github.com/AFLplusplus/LibAFL) ### WINE+QEMU -- cgit 1.4.1 From 22726315c3bd31f53c2f4bcf1f8649767ec5276a Mon Sep 17 00:00:00 2001 From: llzmb <46303940+llzmb@users.noreply.github.com> Date: Wed, 24 Nov 2021 08:11:15 +0100 Subject: Merge various files into "fuzzing_in_depth.md" --- docs/beyond_crashes.md | 23 ------- docs/choosing_testcases.md | 19 ------ docs/fuzzing_in_depth.md | 151 ++++++++++++++++++++++++++++++++++++++++----- docs/limitations.md | 37 ----------- docs/triaging_crashes.md | 46 -------------- 5 files changed, 135 insertions(+), 141 deletions(-) delete mode 100644 docs/beyond_crashes.md delete mode 100644 docs/choosing_testcases.md delete mode 100644 docs/limitations.md delete mode 100644 docs/triaging_crashes.md (limited to 'docs') diff --git a/docs/beyond_crashes.md b/docs/beyond_crashes.md deleted file mode 100644 index 4836419c..00000000 --- a/docs/beyond_crashes.md +++ /dev/null @@ -1,23 +0,0 @@ -# Going beyond crashes - -Fuzzing is a wonderful and underutilized technique for discovering non-crashing -design and implementation errors, too. Quite a few interesting bugs have been -found by modifying the target programs to call abort() when say: - - - Two bignum libraries produce different outputs when given the same - fuzzer-generated input, - - - An image library produces different outputs when asked to decode the same - input image several times in a row, - - - A serialization / deserialization library fails to produce stable outputs - when iteratively serializing and deserializing fuzzer-supplied data, - - - A compression library produces an output inconsistent with the input file - when asked to compress and then decompress a particular blob. - -Implementing these or similar sanity checks usually takes very little time; -if you are the maintainer of a particular package, you can make this code -conditional with `#ifdef FUZZING_BUILD_MODE_UNSAFE_FOR_PRODUCTION` (a flag also -shared with libfuzzer and honggfuzz) or `#ifdef __AFL_COMPILER` (this one is -just for AFL). \ No newline at end of file diff --git a/docs/choosing_testcases.md b/docs/choosing_testcases.md deleted file mode 100644 index 25002929..00000000 --- a/docs/choosing_testcases.md +++ /dev/null @@ -1,19 +0,0 @@ -# Choosing initial test cases - -To operate correctly, the fuzzer requires one or more starting file that -contains a good example of the input data normally expected by the targeted -application. There are two basic rules: - - - Keep the files small. Under 1 kB is ideal, although not strictly necessary. - For a discussion of why size matters, see [perf_tips.md](perf_tips.md). - - - Use multiple test cases only if they are functionally different from - each other. There is no point in using fifty different vacation photos - to fuzz an image library. - -You can find many good examples of starting files in the testcases/ subdirectory -that comes with this tool. - -PS. If a large corpus of data is available for screening, you may want to use -the afl-cmin utility to identify a subset of functionally distinct files that -exercise different code paths in the target binary. \ No newline at end of file diff --git a/docs/fuzzing_in_depth.md b/docs/fuzzing_in_depth.md index 5b4a9df7..4481bce6 100644 --- a/docs/fuzzing_in_depth.md +++ b/docs/fuzzing_in_depth.md @@ -13,7 +13,7 @@ Fuzzing source code is a three-step process: 3. Perform the fuzzing of the target by randomly mutating input and assessing if a generated input was processed in a new path in the target binary. -### 1. Instrumenting that target +### 1. Instrumenting the target #### a) Selecting the best AFL++ compiler for instrumenting the target @@ -123,7 +123,7 @@ AFL++ performs "never zero" counting in its bitmap. You can read more about this here: * [instrumentation/README.neverzero.md](../instrumentation/README.neverzero.md) -#### c) Sanitizers +#### c) Selecting sanitizers It is possible to use sanitizers when instrumenting targets for fuzzing, which allows you to find bugs that would not necessarily result in a crash. @@ -171,7 +171,7 @@ CFISAN. You might need to experiment which sanitizers you can combine in a target (which means more instances can be run without a sanitized target, which is more effective). -#### d) Modify the target +#### d) Modifying the target If the target has features that make fuzzing more difficult, e.g. checksums, HMAC, etc. then modify the source code so that checks for these values are @@ -188,7 +188,7 @@ products by eliminating these checks within these AFL specific blocks: All AFL++ compilers will set this preprocessor definition automatically. -#### e) Instrument the target +#### e) Instrumenting the target In this step the target source code is compiled so that it can be fuzzed. @@ -272,6 +272,7 @@ it for a hobby and not professionally :-). libfuzzer `LLVMFuzzerTestOneInput()` harnesses are the defacto standard for fuzzing, and they can be used with AFL++ (and honggfuzz) as well! + Compiling them is as simple as: ``` @@ -294,15 +295,25 @@ For more information, see As you fuzz the target with mutated input, having as diverse inputs for the target as possible improves the efficiency a lot. -#### a) Collect inputs +#### a) Collecting inputs + +To operate correctly, the fuzzer requires one or more starting files that +contain a good example of the input data normally expected by the targeted +application. There are two basic rules: + +- Keep the files small. Under 1 kB is ideal, although not strictly necessary. + For a discussion of why size matters, see [perf_tips.md](perf_tips.md). -Try to gather valid inputs for the target from wherever you can. E.g. if it is -the PNG picture format try to find as many png files as possible, e.g. from -reported bugs, test suites, random downloads from the internet, unit test case -data - from all kind of PNG software. +- Use multiple test cases only if they are functionally different from each + other. There is no point in using fifty different vacation photos to fuzz an + image library. -If the input format is not known, you can also modify a target program to write -normal data it receives and processes to a file and use these. +You can find many good examples of starting files in the +[testcases/](../testcases) subdirectory that comes with this tool. + +PS. If a large corpus of data is available for screening, you may want to use +the afl-cmin utility to identify a subset of functionally distinct files that +exercise different code paths in the target binary. #### b) Making the input corpus unique @@ -535,10 +546,10 @@ complex and configurable script in `utils/distributed_fuzzing`. AFL++ comes with the `afl-whatsup` script to show the status of the fuzzing campaign. -Just supply the directory that afl-fuzz is given with the -o option and you will -see a detailed status of every fuzzer in that campaign plus a summary. +Just supply the directory that afl-fuzz is given with the `-o` option and you +will see a detailed status of every fuzzer in that campaign plus a summary. -To have only the summary, use the `-s` switch, e.g. `afl-whatsup -s out/`. +To have only the summary, use the `-s` switch, e.g., `afl-whatsup -s out/`. If you have multiple servers, then use the command after a sync or you have to execute this script per server. @@ -546,7 +557,7 @@ execute this script per server. Another tool to inspect the current state and history of a specific instance is afl-plot, which generates an index.html file and a graphs that show how the fuzzing instance is performing. The syntax is `afl-plot instance_dir web_dir`, -e.g. `afl-plot out/default /srv/www/htdocs/plot`. +e.g., `afl-plot out/default /srv/www/htdocs/plot`. #### e) Stopping fuzzing, restarting fuzzing, adding new seeds @@ -599,7 +610,7 @@ AFL_TRY_AFFINITY=1` if you have no free core. Note that in nearly all cases you can never reach full coverage. A lot of functionality is usually dependent on exclusive options that would need -individual fuzzing campaigns each with one of these options set. E.g. if you +individual fuzzing campaigns each with one of these options set. E.g., if you fuzz a library to convert image formats and your target is the png to tiff API then you will not touch any of the other library APIs and features. @@ -634,6 +645,114 @@ or honggfuzz. * Run `sudo afl-system-config` before starting the first afl-fuzz instance after a reboot +#### i) Going beyond crashes + +Fuzzing is a wonderful and underutilized technique for discovering non-crashing +design and implementation errors, too. Quite a few interesting bugs have been +found by modifying the target programs to call `abort()` when say: + +- Two bignum libraries produce different outputs when given the same + fuzzer-generated input. + +- An image library produces different outputs when asked to decode the same + input image several times in a row. + +- A serialization/deserialization library fails to produce stable outputs when + iteratively serializing and deserializing fuzzer-supplied data. + +- A compression library produces an output inconsistent with the input file when + asked to compress and then decompress a particular blob. + +Implementing these or similar sanity checks usually takes very little time; if +you are the maintainer of a particular package, you can make this code +conditional with `#ifdef FUZZING_BUILD_MODE_UNSAFE_FOR_PRODUCTION` (a flag also +shared with libfuzzer and honggfuzz) or `#ifdef __AFL_COMPILER` (this one is +just for AFL++). + +#### j) Known limitations & areas for improvement + +Here are some of the most important caveats for AFL++: + +- AFL++ detects faults by checking for the first spawned process dying due to a + signal (SIGSEGV, SIGABRT, etc). Programs that install custom handlers for + these signals may need to have the relevant code commented out. In the same + vein, faults in child processes spawned by the fuzzed target may evade + detection unless you manually add some code to catch that. + +- As with any other brute-force tool, the fuzzer offers limited coverage if + encryption, checksums, cryptographic signatures, or compression are used to + wholly wrap the actual data format to be tested. + + To work around this, you can comment out the relevant checks (see + utils/libpng_no_checksum/ for inspiration); if this is not possible, you can + also write a postprocessor, one of the hooks of custom mutators. See + [custom_mutators.md](custom_mutators.md) on how to use + `AFL_CUSTOM_MUTATOR_LIBRARY`. + +- There are some unfortunate trade-offs with ASAN and 64-bit binaries. This + isn't due to any specific fault of afl-fuzz. + +- There is no direct support for fuzzing network services, background daemons, + or interactive apps that require UI interaction to work. You may need to make + simple code changes to make them behave in a more traditional way. Preeny may + offer a relatively simple option, too - see: + [https://github.com/zardus/preeny](https://github.com/zardus/preeny) + + Some useful tips for modifying network-based services can be also found at: + [https://www.fastly.com/blog/how-to-fuzz-server-american-fuzzy-lop](https://www.fastly.com/blog/how-to-fuzz-server-american-fuzzy-lop) + +- Occasionally, sentient machines rise against their creators. If this happens + to you, please consult + [https://lcamtuf.coredump.cx/prep/](https://lcamtuf.coredump.cx/prep/). + +Beyond this, see [INSTALL.md](INSTALL.md) for platform-specific tips. + +### 4. Triaging crashes + +The coverage-based grouping of crashes usually produces a small data set that +can be quickly triaged manually or with a very simple GDB or Valgrind script. +Every crash is also traceable to its parent non-crashing test case in the queue, +making it easier to diagnose faults. + +Having said that, it's important to acknowledge that some fuzzing crashes can be +difficult to quickly evaluate for exploitability without a lot of debugging and +code analysis work. To assist with this task, afl-fuzz supports a very unique +"crash exploration" mode enabled with the -C flag. + +In this mode, the fuzzer takes one or more crashing test cases as the input and +uses its feedback-driven fuzzing strategies to very quickly enumerate all code +paths that can be reached in the program while keeping it in the crashing state. + +Mutations that do not result in a crash are rejected; so are any changes that do +not affect the execution path. + +The output is a small corpus of files that can be very rapidly examined to see +what degree of control the attacker has over the faulting address, or whether it +is possible to get past an initial out-of-bounds read - and see what lies +beneath. + +Oh, one more thing: for test case minimization, give afl-tmin a try. The tool +can be operated in a very simple way: + +```shell +./afl-tmin -i test_case -o minimized_result -- /path/to/program [...] +``` + +The tool works with crashing and non-crashing test cases alike. In the crash +mode, it will happily accept instrumented and non-instrumented binaries. In the +non-crashing mode, the minimizer relies on standard AFL++ instrumentation to +make the file simpler without altering the execution path. + +The minimizer accepts the -m, -t, -f and @@ syntax in a manner compatible with +afl-fuzz. + +Another tool in AFL++ is the afl-analyze tool. It takes an input file, attempts +to sequentially flip bytes, and observes the behavior of the tested program. It +then color-codes the input based on which sections appear to be critical, and +which are not; while not bulletproof, it can often offer quick insights into +complex file formats. More info about its operation can be found near the end of +[technical_details.md](technical_details.md). + ### The End Check out the [FAQ](FAQ.md) if it maybe answers your question (that you might diff --git a/docs/limitations.md b/docs/limitations.md deleted file mode 100644 index 8172a902..00000000 --- a/docs/limitations.md +++ /dev/null @@ -1,37 +0,0 @@ -# Known limitations & areas for improvement - -Here are some of the most important caveats for AFL++: - -- AFL++ detects faults by checking for the first spawned process dying due to a - signal (SIGSEGV, SIGABRT, etc). Programs that install custom handlers for - these signals may need to have the relevant code commented out. In the same - vein, faults in child processes spawned by the fuzzed target may evade - detection unless you manually add some code to catch that. - -- As with any other brute-force tool, the fuzzer offers limited coverage if - encryption, checksums, cryptographic signatures, or compression are used to - wholly wrap the actual data format to be tested. - -To work around this, you can comment out the relevant checks (see -utils/libpng_no_checksum/ for inspiration); if this is not possible, you can -also write a postprocessor, one of the hooks of custom mutators. See -[custom_mutators.md](custom_mutators.md) on how to use -`AFL_CUSTOM_MUTATOR_LIBRARY`. - -- There are some unfortunate trade-offs with ASAN and 64-bit binaries. This - isn't due to any specific fault of afl-fuzz. - -- There is no direct support for fuzzing network services, background daemons, - or interactive apps that require UI interaction to work. You may need to make - simple code changes to make them behave in a more traditional way. Preeny may - offer a relatively simple option, too - see: - [https://github.com/zardus/preeny](https://github.com/zardus/preeny) - -Some useful tips for modifying network-based services can be also found at: -[https://www.fastly.com/blog/how-to-fuzz-server-american-fuzzy-lop](https://www.fastly.com/blog/how-to-fuzz-server-american-fuzzy-lop) - -- Occasionally, sentient machines rise against their creators. If this happens - to you, please consult - [https://lcamtuf.coredump.cx/prep/](https://lcamtuf.coredump.cx/prep/). - -Beyond this, see [INSTALL.md](INSTALL.md) for platform-specific tips. \ No newline at end of file diff --git a/docs/triaging_crashes.md b/docs/triaging_crashes.md deleted file mode 100644 index 21ccecaa..00000000 --- a/docs/triaging_crashes.md +++ /dev/null @@ -1,46 +0,0 @@ -# Triaging crashes - -The coverage-based grouping of crashes usually produces a small data set that -can be quickly triaged manually or with a very simple GDB or Valgrind script. -Every crash is also traceable to its parent non-crashing test case in the -queue, making it easier to diagnose faults. - -Having said that, it's important to acknowledge that some fuzzing crashes can be -difficult to quickly evaluate for exploitability without a lot of debugging and -code analysis work. To assist with this task, afl-fuzz supports a very unique -"crash exploration" mode enabled with the -C flag. - -In this mode, the fuzzer takes one or more crashing test cases as the input -and uses its feedback-driven fuzzing strategies to very quickly enumerate all -code paths that can be reached in the program while keeping it in the -crashing state. - -Mutations that do not result in a crash are rejected; so are any changes that -do not affect the execution path. - -The output is a small corpus of files that can be very rapidly examined to see -what degree of control the attacker has over the faulting address, or whether -it is possible to get past an initial out-of-bounds read - and see what lies -beneath. - -Oh, one more thing: for test case minimization, give afl-tmin a try. The tool -can be operated in a very simple way: - -```shell -./afl-tmin -i test_case -o minimized_result -- /path/to/program [...] -``` - -The tool works with crashing and non-crashing test cases alike. In the crash -mode, it will happily accept instrumented and non-instrumented binaries. In the -non-crashing mode, the minimizer relies on standard AFL++ instrumentation to make -the file simpler without altering the execution path. - -The minimizer accepts the -m, -t, -f and @@ syntax in a manner compatible with -afl-fuzz. - -Another tool in AFL++ is the afl-analyze tool. It takes an input -file, attempts to sequentially flip bytes, and observes the behavior of the -tested program. It then color-codes the input based on which sections appear to -be critical, and which are not; while not bulletproof, it can often offer quick -insights into complex file formats. More info about its operation can be found -near the end of [technical_details.md](technical_details.md). \ No newline at end of file -- cgit 1.4.1 From f11cf068dca784831d1c70e95258e85f5b1e64eb Mon Sep 17 00:00:00 2001 From: llzmb <46303940+llzmb@users.noreply.github.com> Date: Wed, 24 Nov 2021 10:52:29 +0100 Subject: Merge "common_sense_risks.md" into "fuzzing_in_depth.md" --- README.md | 4 ++-- docs/common_sense_risks.md | 36 ------------------------------------ docs/fuzzing_in_depth.md | 37 +++++++++++++++++++++++++++++++++++++ 3 files changed, 39 insertions(+), 38 deletions(-) delete mode 100644 docs/common_sense_risks.md (limited to 'docs') diff --git a/README.md b/README.md index e0cb4558..989e8fdb 100644 --- a/README.md +++ b/README.md @@ -60,8 +60,8 @@ To build AFL++ yourself, continue at [docs/INSTALL.md](docs/INSTALL.md). ## Quick start: Fuzzing with AFL++ -*NOTE: Before you start, please read about the [common sense risks of -fuzzing](docs/common_sense_risks.md).* +*NOTE: Before you start, please read about the +[common sense risks of fuzzing](docs/fuzzing_in_depth.md#0-common-sense-risks).* This is a quick start for fuzzing targets with the source code available. To read about the process in detail, see diff --git a/docs/common_sense_risks.md b/docs/common_sense_risks.md deleted file mode 100644 index a8d68d7a..00000000 --- a/docs/common_sense_risks.md +++ /dev/null @@ -1,36 +0,0 @@ -# Common sense risks - -Please keep in mind that, similarly to many other computationally-intensive -tasks, fuzzing may put a strain on your hardware and on the OS. In particular: - - - Your CPU will run hot and will need adequate cooling. In most cases, if - cooling is insufficient or stops working properly, CPU speeds will be - automatically throttled. That said, especially when fuzzing on less - suitable hardware (laptops, smartphones, etc), it's not entirely impossible - for something to blow up. - - - Targeted programs may end up erratically grabbing gigabytes of memory or - filling up disk space with junk files. AFL++ tries to enforce basic memory - limits, but can't prevent each and every possible mishap. The bottom line - is that you shouldn't be fuzzing on systems where the prospect of data loss - is not an acceptable risk. - - - Fuzzing involves billions of reads and writes to the filesystem. On modern - systems, this will be usually heavily cached, resulting in fairly modest - "physical" I/O - but there are many factors that may alter this equation. - It is your responsibility to monitor for potential trouble; with very heavy - I/O, the lifespan of many HDDs and SSDs may be reduced. - - A good way to monitor disk I/O on Linux is the 'iostat' command: - -```shell - $ iostat -d 3 -x -k [...optional disk ID...] -``` - - Using the `AFL_TMPDIR` environment variable and a RAM-disk you can have the - heavy writing done in RAM to prevent the aforementioned wear and tear. For - example the following line will run a Docker container with all this preset: - - ```shell - # docker run -ti --mount type=tmpfs,destination=/ramdisk -e AFL_TMPDIR=/ramdisk aflplusplus/aflplusplus - ``` \ No newline at end of file diff --git a/docs/fuzzing_in_depth.md b/docs/fuzzing_in_depth.md index 4481bce6..19d8e783 100644 --- a/docs/fuzzing_in_depth.md +++ b/docs/fuzzing_in_depth.md @@ -13,6 +13,43 @@ Fuzzing source code is a three-step process: 3. Perform the fuzzing of the target by randomly mutating input and assessing if a generated input was processed in a new path in the target binary. +### 0. Common sense risks + +Please keep in mind that, similarly to many other computationally-intensive +tasks, fuzzing may put a strain on your hardware and on the OS. In particular: + +- Your CPU will run hot and will need adequate cooling. In most cases, if + cooling is insufficient or stops working properly, CPU speeds will be + automatically throttled. That said, especially when fuzzing on less suitable + hardware (laptops, smartphones, etc.), it's not entirely impossible for + something to blow up. + +- Targeted programs may end up erratically grabbing gigabytes of memory or + filling up disk space with junk files. AFL++ tries to enforce basic memory + limits, but can't prevent each and every possible mishap. The bottom line is + that you shouldn't be fuzzing on systems where the prospect of data loss is + not an acceptable risk. + +- Fuzzing involves billions of reads and writes to the filesystem. On modern + systems, this will be usually heavily cached, resulting in fairly modest + "physical" I/O - but there are many factors that may alter this equation. It + is your responsibility to monitor for potential trouble; with very heavy I/O, + the lifespan of many HDDs and SSDs may be reduced. + + A good way to monitor disk I/O on Linux is the `iostat` command: + + ```shell + $ iostat -d 3 -x -k [...optional disk ID...] + ``` + + Using the `AFL_TMPDIR` environment variable and a RAM-disk, you can have the + heavy writing done in RAM to prevent the aforementioned wear and tear. For + example, the following line will run a Docker container with all this preset: + + ```shell + # docker run -ti --mount type=tmpfs,destination=/ramdisk -e AFL_TMPDIR=/ramdisk aflplusplus/aflplusplus + ``` + ### 1. Instrumenting the target #### a) Selecting the best AFL++ compiler for instrumenting the target -- cgit 1.4.1 From 5b480f94511129e56062976d2c83daedd4a5043b Mon Sep 17 00:00:00 2001 From: llzmb <46303940+llzmb@users.noreply.github.com> Date: Wed, 24 Nov 2021 11:00:03 +0100 Subject: Edit "fuzzing_in_depth.md" --- docs/fuzzing_in_depth.md | 20 ++++++++------------ 1 file changed, 8 insertions(+), 12 deletions(-) (limited to 'docs') diff --git a/docs/fuzzing_in_depth.md b/docs/fuzzing_in_depth.md index 19d8e783..2365c6fd 100644 --- a/docs/fuzzing_in_depth.md +++ b/docs/fuzzing_in_depth.md @@ -336,22 +336,19 @@ target as possible improves the efficiency a lot. To operate correctly, the fuzzer requires one or more starting files that contain a good example of the input data normally expected by the targeted -application. There are two basic rules: +application. -- Keep the files small. Under 1 kB is ideal, although not strictly necessary. - For a discussion of why size matters, see [perf_tips.md](perf_tips.md). +Try to gather valid inputs for the target from wherever you can. E.g., if it is +the PNG picture format, try to find as many PNG files as possible, e.g., from +reported bugs, test suites, random downloads from the internet, unit test case +data - from all kind of PNG software. -- Use multiple test cases only if they are functionally different from each - other. There is no point in using fifty different vacation photos to fuzz an - image library. +If the input format is not known, you can also modify a target program to write +normal data it receives and processes to a file and use these. You can find many good examples of starting files in the [testcases/](../testcases) subdirectory that comes with this tool. -PS. If a large corpus of data is available for screening, you may want to use -the afl-cmin utility to identify a subset of functionally distinct files that -exercise different code paths in the target binary. - #### b) Making the input corpus unique Use the AFL++ tool `afl-cmin` to remove inputs from the corpus that do not @@ -787,8 +784,7 @@ Another tool in AFL++ is the afl-analyze tool. It takes an input file, attempts to sequentially flip bytes, and observes the behavior of the tested program. It then color-codes the input based on which sections appear to be critical, and which are not; while not bulletproof, it can often offer quick insights into -complex file formats. More info about its operation can be found near the end of -[technical_details.md](technical_details.md). +complex file formats. ### The End -- cgit 1.4.1 From 43928461e8f990dcea7000271f56052e432ad3f7 Mon Sep 17 00:00:00 2001 From: vanhauser-thc Date: Wed, 24 Nov 2021 12:43:46 +0100 Subject: update --- docs/docs2.md | 19 ++++++++++--------- qemu_mode/qemuafl | 2 +- 2 files changed, 11 insertions(+), 10 deletions(-) (limited to 'docs') diff --git a/docs/docs2.md b/docs/docs2.md index 10912efd..8956b3ed 100644 --- a/docs/docs2.md +++ b/docs/docs2.md @@ -66,9 +66,9 @@ structuring documentation. Few fit that profile and we sent out messages to 6 people. We finally decided on Jana because she had a strong background in technical documentation and structuring information. -She had no technical experience in fuzzing whatsoever, but this was a plus - -of course this made the whole process longer to explain details, but overall -ensured that the documentation can be read by (mostly) everyone. +She had no technical experience in fuzzing whatsoever, but we saw that as +a plus - of course this made the whole process longer to explain details, +but overall ensured that the documentation can be read by (mostly) everyone. The project was off to a good start, but then Jana got pregnant with serious side effects that made working impossible for her for a longer time, hence @@ -80,13 +80,12 @@ basically a full restart of the project and a large impact on our own time. So we agreed on - after discussion with the Google GSoD team - that she continues the project after the GSoD completion deadline as best as she can. +End of November she took one week off from work and fully dedicated her time +for the documenation which brought the project a big step forward. + Originally the project should have been ended begin of October, but now - at -mid of November, we are at about 65% completion, with a completion hopefully -in January or February next year. -The most important parts of the documentation have been restructured and -rewritten (the user how-to parts) with some smaller todos left, the in-depth -documentation on the inner workings as well as the workflow diagrams are still -to be done. +nearing the end of November, we are at about 85% completion, with the end +being expected around mid of December. ## Metrics @@ -95,6 +94,8 @@ close to a state where the user documentation part is completed and we can create a new release. Only then the new documentatin is actually visible to users. Therefore no metrics could be collected so far. +We plan on a user-assisted QA review end of November/begin of December. + The documentation was reviewed by a few test users so far however who gave it a thumbs up. diff --git a/qemu_mode/qemuafl b/qemu_mode/qemuafl index 002e4739..8809a2b2 160000 --- a/qemu_mode/qemuafl +++ b/qemu_mode/qemuafl @@ -1 +1 @@ -Subproject commit 002e473939a350854d56f67ce7b2e2d9706b8bca +Subproject commit 8809a2b2ebf089d3427dd8f6a0044bcc2e13b389 -- cgit 1.4.1 From fce93647cc788683be3d8cca79c4689de4b71c3f Mon Sep 17 00:00:00 2001 From: llzmb <46303940+llzmb@users.noreply.github.com> Date: Wed, 24 Nov 2021 13:24:12 +0100 Subject: Merge "perf_tips.md" into "best_practices.md" and "fuzzing_in_depth.md" --- docs/best_practices.md | 4 +- docs/fuzzing_in_depth.md | 46 +++++++---- docs/perf_tips.md | 209 ----------------------------------------------- 3 files changed, 32 insertions(+), 227 deletions(-) delete mode 100644 docs/perf_tips.md (limited to 'docs') diff --git a/docs/best_practices.md b/docs/best_practices.md index 5f2d45ed..979849f4 100644 --- a/docs/best_practices.md +++ b/docs/best_practices.md @@ -64,11 +64,11 @@ which allows you to define network state with different type of data packets. 1. Use [llvm_mode](../instrumentation/README.llvm.md): afl-clang-lto (llvm >= 11) or afl-clang-fast (llvm >= 9 recommended). 2. Use [persistent mode](../instrumentation/README.persistent_mode.md) (x2-x20 speed increase). -3. Use the [AFL++ snapshot module](https://github.com/AFLplusplus/AFL-Snapshot-LKM) (x2 speed increase). +3. Instrument just what you are interested in, see [instrumentation/README.instrument_list.md](../instrumentation/README.instrument_list.md). 4. If you do not use shmem persistent mode, use `AFL_TMPDIR` to put the input file directory on a tempfs location, see [env_variables.md](env_variables.md). 5. Improve Linux kernel performance: modify `/etc/default/grub`, set `GRUB_CMDLINE_LINUX_DEFAULT="ibpb=off ibrs=off kpti=off l1tf=off mds=off mitigations=off no_stf_barrier noibpb noibrs nopcid nopti nospec_store_bypass_disable nospectre_v1 nospectre_v2 pcid=off pti=off spec_store_bypass_disable=off spectre_v2=off stf_barrier=off"`; then `update-grub` and `reboot` (warning: makes the system less secure). 6. Running on an `ext2` filesystem with `noatime` mount option will be a bit faster than on any other journaling filesystem. -7. Use your cores ([fuzzing_in_depth.md:b) Using multiple cores](fuzzing_in_depth.md#b-using-multiple-cores))! +7. Use your cores ([fuzzing_in_depth.md:3c) Using multiple cores](fuzzing_in_depth.md#c-using-multiple-cores))! ### Improving stability diff --git a/docs/fuzzing_in_depth.md b/docs/fuzzing_in_depth.md index 2365c6fd..869ed212 100644 --- a/docs/fuzzing_in_depth.md +++ b/docs/fuzzing_in_depth.md @@ -419,7 +419,7 @@ as test data in there. If you do not want anything special, the defaults are already usually best, hence all you need is to specify the seed input directory with the result of -step [2a. Collect inputs](#a-collect-inputs): +step [2a) Collect inputs](#a-collect-inputs): `afl-fuzz -i input -o output -- bin/target -d @@` Note that the directory specified with -o will be created if it does not exist. @@ -438,11 +438,6 @@ If you need to stop and re-start the fuzzing, use the same command line options mode!) and switch the input directory with a dash (`-`): `afl-fuzz -i - -o output -- bin/target -d @@` -Memory limits are not enforced by afl-fuzz by default and the system may run out -of memory. You can decrease the memory with the `-m` option, the value is in MB. -If this is too small for the target, you can usually see this by afl-fuzz -bailing with the message that it could not connect to the forkserver. - Adding a dictionary is helpful. See the directory [dictionaries/](../dictionaries/) if something is already included for your data format, and tell afl-fuzz to load that dictionary by adding `-x @@ -472,7 +467,26 @@ is: All labels are explained in [status_screen.md](status_screen.md). -#### b) Using multiple cores +#### b) Keeping memory use and timeouts in check + +Memory limits are not enforced by afl-fuzz by default and the system may run out +of memory. You can decrease the memory with the `-m` option, the value is in MB. +If this is too small for the target, you can usually see this by afl-fuzz +bailing with the message that it could not connect to the forkserver. + +Consider setting low values for `-m` and `-t`. + +For programs that are nominally very fast, but get sluggish for some inputs, you +can also try setting `-t` values that are more punishing than what `afl-fuzz` +dares to use on its own. On fast and idle machines, going down to `-t 5` may be +a viable plan. + +The `-m` parameter is worth looking at, too. Some programs can end up spending a +fair amount of time allocating and initializing megabytes of memory when +presented with pathological inputs. Low `-m` values can make them give up sooner +and not waste CPU time. + +#### c) Using multiple cores If you want to seriously fuzz then use as many cores/threads as possible to fuzz your target. @@ -537,7 +551,7 @@ directory of a different fuzzer is, e.g. `-F /src/target/honggfuzz`. Using honggfuzz (with `-n 1` or `-n 2`) and libfuzzer in parallel is highly recommended! -#### c) Using multiple machines for fuzzing +#### d) Using multiple machines for fuzzing Maybe you have more than one machine you want to fuzz the same target on. Simply start the `afl-fuzz` (and perhaps libfuzzer, honggfuzz, ...) @@ -575,7 +589,7 @@ done You can run this manually, per cron job - as you need it. There is a more complex and configurable script in `utils/distributed_fuzzing`. -#### d) The status of the fuzz campaign +#### e) The status of the fuzz campaign AFL++ comes with the `afl-whatsup` script to show the status of the fuzzing campaign. @@ -593,7 +607,7 @@ afl-plot, which generates an index.html file and a graphs that show how the fuzzing instance is performing. The syntax is `afl-plot instance_dir web_dir`, e.g., `afl-plot out/default /srv/www/htdocs/plot`. -#### e) Stopping fuzzing, restarting fuzzing, adding new seeds +#### f) Stopping fuzzing, restarting fuzzing, adding new seeds To stop an afl-fuzz run, simply press Control-C. @@ -608,7 +622,7 @@ are in `newseeds/` directory: AFL_BENCH_JUST_ONE=1 AFL_FAST_CAL=1 afl-fuzz -i newseeds -o out -S newseeds -- ./target ``` -#### f) Checking the coverage of the fuzzing +#### g) Checking the coverage of the fuzzing The `paths found` value is a bad indicator for checking how good the coverage is. @@ -648,7 +662,7 @@ individual fuzzing campaigns each with one of these options set. E.g., if you fuzz a library to convert image formats and your target is the png to tiff API then you will not touch any of the other library APIs and features. -#### g) How long to fuzz a target? +#### h) How long to fuzz a target? This is a difficult question. Basically if no new path is found for a long time (e.g. for a day or a week) then you can expect that your fuzzing won't be @@ -660,7 +674,7 @@ Keep the queue/ directory (for future fuzzings of the same or similar targets) and use them to seed other good fuzzers like libfuzzer with the -entropic switch or honggfuzz. -#### h) Improve the speed! +#### i) Improve the speed! * Use [persistent mode](../instrumentation/README.persistent_mode.md) (x2-x20 speed increase) @@ -675,11 +689,11 @@ or honggfuzz. also just run `sudo afl-persistent-config` * Linux: Running on an `ext2` filesystem with `noatime` mount option will be a bit faster than on any other journaling filesystem -* Use your cores! [b) Using multiple cores](#b-using-multiple-cores) +* Use your cores! [3c) Using multiple cores](#c-using-multiple-cores) * Run `sudo afl-system-config` before starting the first afl-fuzz instance after a reboot -#### i) Going beyond crashes +#### j) Going beyond crashes Fuzzing is a wonderful and underutilized technique for discovering non-crashing design and implementation errors, too. Quite a few interesting bugs have been @@ -703,7 +717,7 @@ conditional with `#ifdef FUZZING_BUILD_MODE_UNSAFE_FOR_PRODUCTION` (a flag also shared with libfuzzer and honggfuzz) or `#ifdef __AFL_COMPILER` (this one is just for AFL++). -#### j) Known limitations & areas for improvement +#### k) Known limitations & areas for improvement Here are some of the most important caveats for AFL++: diff --git a/docs/perf_tips.md b/docs/perf_tips.md deleted file mode 100644 index 1e8fd4d0..00000000 --- a/docs/perf_tips.md +++ /dev/null @@ -1,209 +0,0 @@ -## Tips for performance optimization - - This file provides tips for troubleshooting slow or wasteful fuzzing jobs. - See README.md for the general instruction manual. - -## 1. Keep your test cases small - -This is probably the single most important step to take! Large test cases do -not merely take more time and memory to be parsed by the tested binary, but -also make the fuzzing process dramatically less efficient in several other -ways. - -To illustrate, let's say that you're randomly flipping bits in a file, one bit -at a time. Let's assume that if you flip bit #47, you will hit a security bug; -flipping any other bit just results in an invalid document. - -Now, if your starting test case is 100 bytes long, you will have a 71% chance of -triggering the bug within the first 1,000 execs - not bad! But if the test case -is 1 kB long, the probability that we will randomly hit the right pattern in -the same timeframe goes down to 11%. And if it has 10 kB of non-essential -cruft, the odds plunge to 1%. - -On top of that, with larger inputs, the binary may be now running 5-10x times -slower than before - so the overall drop in fuzzing efficiency may be easily -as high as 500x or so. - -In practice, this means that you shouldn't fuzz image parsers with your -vacation photos. Generate a tiny 16x16 picture instead, and run it through -`jpegtran` or `pngcrunch` for good measure. The same goes for most other types -of documents. - -There's plenty of small starting test cases in ../testcases/ - try them out -or submit new ones! - -If you want to start with a larger, third-party corpus, run `afl-cmin` with an -aggressive timeout on that data set first. - -## 2. Use a simpler target - -Consider using a simpler target binary in your fuzzing work. For example, for -image formats, bundled utilities such as `djpeg`, `readpng`, or `gifhisto` are -considerably (10-20x) faster than the convert tool from ImageMagick - all while exercising roughly the same library-level image parsing code. - -Even if you don't have a lightweight harness for a particular target, remember -that you can always use another, related library to generate a corpus that will -be then manually fed to a more resource-hungry program later on. - -Also note that reading the fuzzing input via stdin is faster than reading from -a file. - -## 3. Use LLVM persistent instrumentation - -The LLVM mode offers a "persistent", in-process fuzzing mode that can -work well for certain types of self-contained libraries, and for fast targets, -can offer performance gains up to 5-10x; and a "deferred fork server" mode -that can offer huge benefits for programs with high startup overhead. Both -modes require you to edit the source code of the fuzzed program, but the -changes often amount to just strategically placing a single line or two. - -If there are important data comparisons performed (e.g. `strcmp(ptr, MAGIC_HDR)`) -then using laf-intel (see instrumentation/README.laf-intel.md) will help `afl-fuzz` a lot -to get to the important parts in the code. - -If you are only interested in specific parts of the code being fuzzed, you can -instrument_files the files that are actually relevant. This improves the speed and -accuracy of afl. See instrumentation/README.instrument_list.md - -## 4. Profile and optimize the binary - -Check for any parameters or settings that obviously improve performance. For -example, the djpeg utility that comes with IJG jpeg and libjpeg-turbo can be -called with: - -```bash - -dct fast -nosmooth -onepass -dither none -scale 1/4 -``` - -...and that will speed things up. There is a corresponding drop in the quality -of decoded images, but it's probably not something you care about. - -In some programs, it is possible to disable output altogether, or at least use -an output format that is computationally inexpensive. For example, with image -transcoding tools, converting to a BMP file will be a lot faster than to PNG. - -With some laid-back parsers, enabling "strict" mode (i.e., bailing out after -first error) may result in smaller files and improved run time without -sacrificing coverage; for example, for sqlite, you may want to specify -bail. - -If the program is still too slow, you can use `strace -tt` or an equivalent -profiling tool to see if the targeted binary is doing anything silly. -Sometimes, you can speed things up simply by specifying `/dev/null` as the -config file, or disabling some compile-time features that aren't really needed -for the job (try `./configure --help`). One of the notoriously resource-consuming -things would be calling other utilities via `exec*()`, `popen()`, `system()`, or -equivalent calls; for example, tar can invoke external decompression tools -when it decides that the input file is a compressed archive. - -Some programs may also intentionally call `sleep()`, `usleep()`, or `nanosleep()`; -vim is a good example of that. Other programs may attempt `fsync()` and so on. -There are third-party libraries that make it easy to get rid of such code, -e.g.: - - https://launchpad.net/libeatmydata - -In programs that are slow due to unavoidable initialization overhead, you may -want to try the LLVM deferred forkserver mode (see README.llvm.md), -which can give you speed gains up to 10x, as mentioned above. - -Last but not least, if you are using ASAN and the performance is unacceptable, -consider turning it off for now, and manually examining the generated corpus -with an ASAN-enabled binary later on. - -## 5. Instrument just what you need - -Instrument just the libraries you actually want to stress-test right now, one -at a time. Let the program use system-wide, non-instrumented libraries for -any functionality you don't actually want to fuzz. For example, in most -cases, it doesn't make to instrument `libgmp` just because you're testing a -crypto app that relies on it for bignum math. - -Beware of programs that come with oddball third-party libraries bundled with -their source code (Spidermonkey is a good example of this). Check `./configure` -options to use non-instrumented system-wide copies instead. - -## 6. Parallelize your fuzzers - -The fuzzer is designed to need ~1 core per job. This means that on a, say, -4-core system, you can easily run four parallel fuzzing jobs with relatively -little performance hit. For tips on how to do that, see parallel_fuzzing.md. - -The `afl-gotcpu` utility can help you understand if you still have idle CPU -capacity on your system. (It won't tell you about memory bandwidth, cache -misses, or similar factors, but they are less likely to be a concern.) - -## 7. Keep memory use and timeouts in check - -Consider setting low values for `-m` and `-t`. - -For programs that are nominally very fast, but get sluggish for some inputs, -you can also try setting `-t` values that are more punishing than what `afl-fuzz` -dares to use on its own. On fast and idle machines, going down to `-t 5` may be -a viable plan. - -The `-m` parameter is worth looking at, too. Some programs can end up spending -a fair amount of time allocating and initializing megabytes of memory when -presented with pathological inputs. Low `-m` values can make them give up sooner -and not waste CPU time. - -## 8. Check OS configuration - -There are several OS-level factors that may affect fuzzing speed: - - - If you have no risk of power loss then run your fuzzing on a tmpfs - partition. This increases the performance noticably. - Alternatively you can use `AFL_TMPDIR` to point to a tmpfs location to - just write the input file to a tmpfs. - - High system load. Use idle machines where possible. Kill any non-essential - CPU hogs (idle browser windows, media players, complex screensavers, etc). - - Network filesystems, either used for fuzzer input / output, or accessed by - the fuzzed binary to read configuration files (pay special attention to the - home directory - many programs search it for dot-files). - - Disable all the spectre, meltdown etc. security countermeasures in the - kernel if your machine is properly separated: - -``` -ibpb=off ibrs=off kpti=off l1tf=off mds=off mitigations=off -no_stf_barrier noibpb noibrs nopcid nopti nospec_store_bypass_disable -nospectre_v1 nospectre_v2 pcid=off pti=off spec_store_bypass_disable=off -spectre_v2=off stf_barrier=off -``` - In most Linux distributions you can put this into a `/etc/default/grub` - variable. - You can use `sudo afl-persistent-config` to set these options for you. - -The following list of changes are made when executing `afl-system-config`: - - - On-demand CPU scaling. The Linux `ondemand` governor performs its analysis - on a particular schedule and is known to underestimate the needs of - short-lived processes spawned by `afl-fuzz` (or any other fuzzer). On Linux, - this can be fixed with: - -``` bash - cd /sys/devices/system/cpu - echo performance | tee cpu*/cpufreq/scaling_governor -``` - - On other systems, the impact of CPU scaling will be different; when fuzzing, - use OS-specific tools to find out if all cores are running at full speed. - - Transparent huge pages. Some allocators, such as `jemalloc`, can incur a - heavy fuzzing penalty when transparent huge pages (THP) are enabled in the - kernel. You can disable this via: - -```bash - echo never > /sys/kernel/mm/transparent_hugepage/enabled -``` - - - Suboptimal scheduling strategies. The significance of this will vary from - one target to another, but on Linux, you may want to make sure that the - following options are set: - -```bash - echo 1 >/proc/sys/kernel/sched_child_runs_first - echo 1 >/proc/sys/kernel/sched_autogroup_enabled -``` - - Setting a different scheduling policy for the fuzzer process - say - `SCHED_RR` - can usually speed things up, too, but needs to be done with - care. - -- cgit 1.4.1 From 116531af58ee0c0d9407ca603f3e89df98ba9343 Mon Sep 17 00:00:00 2001 From: vanhauser-thc Date: Thu, 25 Nov 2021 12:34:41 +0100 Subject: update doc2 --- docs/docs2.md | 4 ++++ 1 file changed, 4 insertions(+) (limited to 'docs') diff --git a/docs/docs2.md b/docs/docs2.md index 8956b3ed..23ef61c5 100644 --- a/docs/docs2.md +++ b/docs/docs2.md @@ -70,6 +70,10 @@ She had no technical experience in fuzzing whatsoever, but we saw that as a plus - of course this made the whole process longer to explain details, but overall ensured that the documentation can be read by (mostly) everyone. +We communicated via video calls every few weeks and she kept a public kanban +board about her todos, additional we used a Signal channel. +Her changes were imported via PRs where we discussed details. + The project was off to a good start, but then Jana got pregnant with serious side effects that made working impossible for her for a longer time, hence the schedule was thrown back. -- cgit 1.4.1 From e0c8a5c0c6ae67af3280c0ead8124a2ffe920241 Mon Sep 17 00:00:00 2001 From: llzmb <46303940+llzmb@users.noreply.github.com> Date: Thu, 25 Nov 2021 16:47:49 +0100 Subject: Change "AFL" to "AFL++" in "README.llvm.md", fix references --- docs/env_variables.md | 4 ++-- docs/fuzzing_expert.md | 4 ++-- instrumentation/README.llvm.md | 12 ++++++------ 3 files changed, 10 insertions(+), 10 deletions(-) (limited to 'docs') diff --git a/docs/env_variables.md b/docs/env_variables.md index 4386c5f8..cbc63032 100644 --- a/docs/env_variables.md +++ b/docs/env_variables.md @@ -171,7 +171,7 @@ config.h to at least 18 and maybe up to 20 for this as otherwise too many map collisions occur. For more information, see -[instrumentation/README.llvm.md#6) AFL Context Sensitive Branch Coverage](../instrumentation/README.llvm.md#6-afl-context-sensitive-branch-coverage). +[instrumentation/README.llvm.md#6) AFL++ Context Sensitive Branch Coverage](../instrumentation/README.llvm.md#6-afl-context-sensitive-branch-coverage). #### INSTRUMENT LIST (selectively instrument files and functions) @@ -247,7 +247,7 @@ in config.h to at least 18 and maybe up to 20 for this as otherwise too many map collisions occur. For more information, see -[instrumentation/README.llvm.md#7) AFL N-Gram Branch Coverage](../instrumentation/README.llvm.md#7-afl-n-gram-branch-coverage). +[instrumentation/README.llvm.md#7) AFL++ N-Gram Branch Coverage](../instrumentation/README.llvm.md#7-afl-n-gram-branch-coverage). #### NOT_ZERO diff --git a/docs/fuzzing_expert.md b/docs/fuzzing_expert.md index 5945d114..d0d28582 100644 --- a/docs/fuzzing_expert.md +++ b/docs/fuzzing_expert.md @@ -112,8 +112,8 @@ are interested in: There are many more options and modes available however these are most of the time less effective. See: - * [instrumentation/README.llvm.md#6) AFL Context Sensitive Branch Coverage](../instrumentation/README.llvm.md#6-afl-context-sensitive-branch-coverage). - * [instrumentation/README.llvm.md#7) AFL N-Gram Branch Coverage](../instrumentation/README.llvm.md#7-afl-n-gram-branch-coverage) + * [instrumentation/README.llvm.md#6) AFL++ Context Sensitive Branch Coverage](../instrumentation/README.llvm.md#6-afl-context-sensitive-branch-coverage). + * [instrumentation/README.llvm.md#7) AFL++ N-Gram Branch Coverage](../instrumentation/README.llvm.md#7-afl-n-gram-branch-coverage) #### c) Sanitizers diff --git a/instrumentation/README.llvm.md b/instrumentation/README.llvm.md index 1671f385..88ea0127 100644 --- a/instrumentation/README.llvm.md +++ b/instrumentation/README.llvm.md @@ -9,8 +9,8 @@ For the GCC-based instrumentation, see ! llvm_mode works with llvm versions 3.8 up to 13 ! -The code in this directory allows you to instrument programs for AFL using true -compiler-level instrumentation, instead of the more crude assembly-level +The code in this directory allows you to instrument programs for AFL++ using +true compiler-level instrumentation, instead of the more crude assembly-level rewriting approach taken by afl-gcc and afl-clang. This has several interesting properties: @@ -134,11 +134,11 @@ Then there are different ways of instrumenting the target: 2a. N-GRAM coverage - which combines the previous visited edges with the current one. This explodes the map but on the other hand has proven to be effective for fuzzing. See - [7) AFL N-Gram Branch Coverage](#7-afl-n-gram-branch-coverage). + [7) AFL++ N-Gram Branch Coverage](#7-afl-n-gram-branch-coverage). 2b. Context sensitive coverage - which combines the visited edges with an individual caller ID (the function that called the current one). See - [6) AFL Context Sensitive Branch Coverage](#6-afl-context-sensitive-branch-coverage). + [6) AFL++ Context Sensitive Branch Coverage](#6-afl-context-sensitive-branch-coverage). Then - additionally to one of the instrumentation options above - there is a very effective new instrumentation option called CmpLog as an alternative to @@ -166,7 +166,7 @@ Just specify `AFL_LLVM_DICT2FILE=/absolute/path/file.txt` and during compilation all constant string compare parameters will be written to this file to be used with afl-fuzz' `-x` option. -## 6) AFL Context Sensitive Branch Coverage +## 6) AFL++ Context Sensitive Branch Coverage ### What is this? @@ -206,7 +206,7 @@ previous_location_ID >> 1 ^ previous_callee_ID] += 1` Set the `AFL_LLVM_INSTRUMENT=CALLER` or `AFL_LLVM_CALLER=1` environment variable. -## 7) AFL N-Gram Branch Coverage +## 7) AFL++ N-Gram Branch Coverage ### Source -- cgit 1.4.1 From b8a883787501180e8ead0e5f21e8e858841be73b Mon Sep 17 00:00:00 2001 From: llzmb <46303940+llzmb@users.noreply.github.com> Date: Thu, 25 Nov 2021 21:00:39 +0100 Subject: Fix typo (#1183) --- docs/fuzzing_in_depth.md | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) (limited to 'docs') diff --git a/docs/fuzzing_in_depth.md b/docs/fuzzing_in_depth.md index 869ed212..2a423db7 100644 --- a/docs/fuzzing_in_depth.md +++ b/docs/fuzzing_in_depth.md @@ -516,7 +516,7 @@ For every secondary fuzzer there should be a variation, e.g.: * one to three fuzzers should fuzz a target compiled with laf-intel/COMPCOV (see above). Important note: If you run more than one laf-intel/COMPCOV fuzzer and you want them to share their intermediate results, the main fuzzer (`-M`) must - be one of the them! (Although this is not really recommended.) + be one of them! (Although this is not really recommended.) All other secondaries should be used like this: * a quarter to a third with the MOpt mutator enabled: `-L 0` -- cgit 1.4.1 From 2412ff63e3f86f0d7876a550e64f2482e85a77c6 Mon Sep 17 00:00:00 2001 From: llzmb <46303940+llzmb@users.noreply.github.com> Date: Fri, 26 Nov 2021 12:50:40 +0100 Subject: Merge "ci_fuzzing.md" into "fuzzing_in_depth.md" --- docs/ci_fuzzing.md | 29 ------------- docs/fuzzing_in_depth.md | 103 ++++++++++++++++++++++++++++++++--------------- 2 files changed, 71 insertions(+), 61 deletions(-) delete mode 100644 docs/ci_fuzzing.md (limited to 'docs') diff --git a/docs/ci_fuzzing.md b/docs/ci_fuzzing.md deleted file mode 100644 index 8d1a2f99..00000000 --- a/docs/ci_fuzzing.md +++ /dev/null @@ -1,29 +0,0 @@ -# CI Fuzzing - -Some notes on CI Fuzzing - this fuzzing is different to normal fuzzing campaigns as these are much shorter runnings. - -1. Always: - * LTO has a much longer compile time which is diametrical to short fuzzing - hence use afl-clang-fast instead. - * If you compile with CMPLOG then you can save fuzzing time and reuse that compiled target for both the -c option and the main fuzz target. - This will impact the speed by ~15% though. - * `AFL_FAST_CAL` - Enable fast calibration, this halfs the time the saturated corpus needs to be loaded. - * `AFL_CMPLOG_ONLY_NEW` - only perform cmplog on new found paths, not the initial corpus as this very likely has been done for them already. - * Keep the generated corpus, use afl-cmin and reuse it every time! - -2. Additionally randomize the AFL++ compilation options, e.g. - * 40% for `AFL_LLVM_CMPLOG` - * 10% for `AFL_LLVM_LAF_ALL` - -3. Also randomize the afl-fuzz runtime options, e.g. - * 65% for `AFL_DISABLE_TRIM` - * 50% use a dictionary generated by `AFL_LLVM_DICT2FILE` - * 40% use MOpt (`-L 0`) - * 40% for `AFL_EXPAND_HAVOC_NOW` - * 20% for old queue processing (`-Z`) - * for CMPLOG targets, 60% for `-l 2`, 40% for `-l 3` - -4. Do *not* run any `-M` modes, just running `-S` modes is better for CI fuzzing. -`-M` enables old queue handling etc. which is good for a fuzzing campaign but not good for short CI runs. - -How this can look like can e.g. be seen at AFL++'s setup in Google's [oss-fuzz](https://github.com/google/oss-fuzz/blob/master/infra/base-images/base-builder/compile_afl) -and [clusterfuzz](https://github.com/google/clusterfuzz/blob/master/src/clusterfuzz/_internal/bot/fuzzers/afl/launcher.py). diff --git a/docs/fuzzing_in_depth.md b/docs/fuzzing_in_depth.md index 2a423db7..251bbc1d 100644 --- a/docs/fuzzing_in_depth.md +++ b/docs/fuzzing_in_depth.md @@ -13,7 +13,7 @@ Fuzzing source code is a three-step process: 3. Perform the fuzzing of the target by randomly mutating input and assessing if a generated input was processed in a new path in the target binary. -### 0. Common sense risks +## 0. Common sense risks Please keep in mind that, similarly to many other computationally-intensive tasks, fuzzing may put a strain on your hardware and on the OS. In particular: @@ -50,9 +50,9 @@ tasks, fuzzing may put a strain on your hardware and on the OS. In particular: # docker run -ti --mount type=tmpfs,destination=/ramdisk -e AFL_TMPDIR=/ramdisk aflplusplus/aflplusplus ``` -### 1. Instrumenting the target +## 1. Instrumenting the target -#### a) Selecting the best AFL++ compiler for instrumenting the target +### a) Selecting the best AFL++ compiler for instrumenting the target AFL++ comes with a central compiler `afl-cc` that incorporates various different kinds of compiler targets and and instrumentation options. The following @@ -111,7 +111,7 @@ command), the compile-time tools make fairly broad use of environment variables, which can be listed with `afl-cc -hh` or by reading [env_variables.md](env_variables.md). -#### b) Selecting instrumentation options +### b) Selecting instrumentation options The following options are available when you instrument with LTO mode (afl-clang-fast/afl-clang-lto): @@ -160,7 +160,7 @@ AFL++ performs "never zero" counting in its bitmap. You can read more about this here: * [instrumentation/README.neverzero.md](../instrumentation/README.neverzero.md) -#### c) Selecting sanitizers +### c) Selecting sanitizers It is possible to use sanitizers when instrumenting targets for fuzzing, which allows you to find bugs that would not necessarily result in a crash. @@ -208,7 +208,7 @@ CFISAN. You might need to experiment which sanitizers you can combine in a target (which means more instances can be run without a sanitized target, which is more effective). -#### d) Modifying the target +### d) Modifying the target If the target has features that make fuzzing more difficult, e.g. checksums, HMAC, etc. then modify the source code so that checks for these values are @@ -225,7 +225,7 @@ products by eliminating these checks within these AFL specific blocks: All AFL++ compilers will set this preprocessor definition automatically. -#### e) Instrumenting the target +### e) Instrumenting the target In this step the target source code is compiled so that it can be fuzzed. @@ -256,7 +256,7 @@ Then build the target. (Usually with `make`) aborts then set `export AFL_NOOPT=1` which will then just behave like the real compiler. This option has to be unset again before building the target! -##### configure +#### configure For `configure` build systems this is usually done by: `CC=afl-clang-fast CXX=afl-clang-fast++ ./configure --disable-shared` @@ -265,7 +265,7 @@ Note that if you are using the (better) afl-clang-lto compiler you also have to set AR to llvm-ar[-VERSION] and RANLIB to llvm-ranlib[-VERSION] - as is described in [instrumentation/README.lto.md](../instrumentation/README.lto.md). -##### cmake +#### cmake For `cmake` build systems this is usually done by: `mkdir build; cd build; cmake -DCMAKE_C_COMPILER=afl-cc -DCMAKE_CXX_COMPILER=afl-c++ ..` @@ -274,12 +274,12 @@ Note that if you are using the (better) afl-clang-lto compiler you also have to set AR to llvm-ar[-VERSION] and RANLIB to llvm-ranlib[-VERSION] - as is described in [instrumentation/README.lto.md](../instrumentation/README.lto.md). -##### meson +#### meson For meson you have to set the AFL++ compiler with the very first command! `CC=afl-cc CXX=afl-c++ meson` -##### other build systems or if configure/cmake didn't work +#### other build systems or if configure/cmake didn't work Sometimes cmake and configure do not pick up the AFL++ compiler, or the ranlib/ar that is needed - because this was just not foreseen by the developer @@ -288,7 +288,7 @@ non-standard way to set this, otherwise set up the build normally and edit the generated build environment afterwards manually to point it to the right compiler (and/or ranlib and ar). -#### f) Better instrumentation +### f) Better instrumentation If you just fuzz a target program as-is you are wasting a great opportunity for much more fuzzing speed. @@ -305,7 +305,7 @@ for details. Basically if you do not fuzz a target in persistent mode then you are just doing it for a hobby and not professionally :-). -#### g) libfuzzer fuzzer harnesses with LLVMFuzzerTestOneInput() +### g) libfuzzer fuzzer harnesses with LLVMFuzzerTestOneInput() libfuzzer `LLVMFuzzerTestOneInput()` harnesses are the defacto standard for fuzzing, and they can be used with AFL++ (and honggfuzz) as well! @@ -327,12 +327,12 @@ shared-memory test cases and hence gives you the fastest speed possible. For more information, see [utils/aflpp_driver/README.md](../utils/aflpp_driver/README.md). -### 2. Preparing the fuzzing campaign +## 2. Preparing the fuzzing campaign As you fuzz the target with mutated input, having as diverse inputs for the target as possible improves the efficiency a lot. -#### a) Collecting inputs +### a) Collecting inputs To operate correctly, the fuzzer requires one or more starting files that contain a good example of the input data normally expected by the targeted @@ -349,7 +349,7 @@ normal data it receives and processes to a file and use these. You can find many good examples of starting files in the [testcases/](../testcases) subdirectory that comes with this tool. -#### b) Making the input corpus unique +### b) Making the input corpus unique Use the AFL++ tool `afl-cmin` to remove inputs from the corpus that do not produce a new path in the target. @@ -366,7 +366,7 @@ default. This step is highly recommended! -#### c) Minimizing all corpus files +### c) Minimizing all corpus files The shorter the input files that still traverse the same path within the target, the better the fuzzing will be. This minimization is done with `afl-tmin` @@ -383,13 +383,13 @@ done This step can also be parallelized, e.g. with `parallel`. Note that this step is rather optional though. -#### Done! +### Done! The INPUTS_UNIQUE/ directory from step b) - or even better the directory input/ if you minimized the corpus in step c) - is the resulting input corpus directory to be used in fuzzing! :-) -### 3. Fuzzing the target +## 3. Fuzzing the target In this final step we fuzz the target. There are not that many important options to run the target - unless you want to use many CPU cores/threads for the @@ -398,7 +398,7 @@ fuzzing, which will make the fuzzing much more useful. If you just use one CPU for fuzzing, then you are fuzzing just for fun and not seriously :-) -#### a) Running afl-fuzz +### a) Running afl-fuzz Before you do even a test run of afl-fuzz execute `sudo afl-system-config` (on the host if you execute afl-fuzz in a docker container). This reconfigures the @@ -467,7 +467,7 @@ is: All labels are explained in [status_screen.md](status_screen.md). -#### b) Keeping memory use and timeouts in check +### b) Keeping memory use and timeouts in check Memory limits are not enforced by afl-fuzz by default and the system may run out of memory. You can decrease the memory with the `-m` option, the value is in MB. @@ -486,7 +486,7 @@ fair amount of time allocating and initializing megabytes of memory when presented with pathological inputs. Low `-m` values can make them give up sooner and not waste CPU time. -#### c) Using multiple cores +### c) Using multiple cores If you want to seriously fuzz then use as many cores/threads as possible to fuzz your target. @@ -551,7 +551,7 @@ directory of a different fuzzer is, e.g. `-F /src/target/honggfuzz`. Using honggfuzz (with `-n 1` or `-n 2`) and libfuzzer in parallel is highly recommended! -#### d) Using multiple machines for fuzzing +### d) Using multiple machines for fuzzing Maybe you have more than one machine you want to fuzz the same target on. Simply start the `afl-fuzz` (and perhaps libfuzzer, honggfuzz, ...) @@ -589,7 +589,7 @@ done You can run this manually, per cron job - as you need it. There is a more complex and configurable script in `utils/distributed_fuzzing`. -#### e) The status of the fuzz campaign +### e) The status of the fuzz campaign AFL++ comes with the `afl-whatsup` script to show the status of the fuzzing campaign. @@ -607,7 +607,7 @@ afl-plot, which generates an index.html file and a graphs that show how the fuzzing instance is performing. The syntax is `afl-plot instance_dir web_dir`, e.g., `afl-plot out/default /srv/www/htdocs/plot`. -#### f) Stopping fuzzing, restarting fuzzing, adding new seeds +### f) Stopping fuzzing, restarting fuzzing, adding new seeds To stop an afl-fuzz run, simply press Control-C. @@ -622,7 +622,7 @@ are in `newseeds/` directory: AFL_BENCH_JUST_ONE=1 AFL_FAST_CAL=1 afl-fuzz -i newseeds -o out -S newseeds -- ./target ``` -#### g) Checking the coverage of the fuzzing +### g) Checking the coverage of the fuzzing The `paths found` value is a bad indicator for checking how good the coverage is. @@ -662,7 +662,7 @@ individual fuzzing campaigns each with one of these options set. E.g., if you fuzz a library to convert image formats and your target is the png to tiff API then you will not touch any of the other library APIs and features. -#### h) How long to fuzz a target? +### h) How long to fuzz a target? This is a difficult question. Basically if no new path is found for a long time (e.g. for a day or a week) then you can expect that your fuzzing won't be @@ -674,7 +674,7 @@ Keep the queue/ directory (for future fuzzings of the same or similar targets) and use them to seed other good fuzzers like libfuzzer with the -entropic switch or honggfuzz. -#### i) Improve the speed! +### i) Improve the speed! * Use [persistent mode](../instrumentation/README.persistent_mode.md) (x2-x20 speed increase) @@ -693,7 +693,7 @@ or honggfuzz. * Run `sudo afl-system-config` before starting the first afl-fuzz instance after a reboot -#### j) Going beyond crashes +### j) Going beyond crashes Fuzzing is a wonderful and underutilized technique for discovering non-crashing design and implementation errors, too. Quite a few interesting bugs have been @@ -717,7 +717,7 @@ conditional with `#ifdef FUZZING_BUILD_MODE_UNSAFE_FOR_PRODUCTION` (a flag also shared with libfuzzer and honggfuzz) or `#ifdef __AFL_COMPILER` (this one is just for AFL++). -#### k) Known limitations & areas for improvement +### k) Known limitations & areas for improvement Here are some of the most important caveats for AFL++: @@ -755,7 +755,7 @@ Here are some of the most important caveats for AFL++: Beyond this, see [INSTALL.md](INSTALL.md) for platform-specific tips. -### 4. Triaging crashes +## 4. Triaging crashes The coverage-based grouping of crashes usually produces a small data set that can be quickly triaged manually or with a very simple GDB or Valgrind script. @@ -800,7 +800,46 @@ then color-codes the input based on which sections appear to be critical, and which are not; while not bulletproof, it can often offer quick insights into complex file formats. -### The End + +## 5. CI fuzzing + +Some notes on CI fuzzing - this fuzzing is different to normal fuzzing campaigns +as these are much shorter runnings. + +1. Always: + * LTO has a much longer compile time which is diametrical to short fuzzing - + hence use afl-clang-fast instead. + * If you compile with CMPLOG, then you can save fuzzing time and reuse that + compiled target for both the `-c` option and the main fuzz target. This + will impact the speed by ~15% though. + * `AFL_FAST_CAL` - Enable fast calibration, this halves the time the + saturated corpus needs to be loaded. + * `AFL_CMPLOG_ONLY_NEW` - only perform cmplog on new found paths, not the + initial corpus as this very likely has been done for them already. + * Keep the generated corpus, use afl-cmin and reuse it every time! + +2. Additionally randomize the AFL++ compilation options, e.g.: + * 40% for `AFL_LLVM_CMPLOG` + * 10% for `AFL_LLVM_LAF_ALL` + +3. Also randomize the afl-fuzz runtime options, e.g.: + * 65% for `AFL_DISABLE_TRIM` + * 50% use a dictionary generated by `AFL_LLVM_DICT2FILE` + * 40% use MOpt (`-L 0`) + * 40% for `AFL_EXPAND_HAVOC_NOW` + * 20% for old queue processing (`-Z`) + * for CMPLOG targets, 60% for `-l 2`, 40% for `-l 3` + +4. Do *not* run any `-M` modes, just running `-S` modes is better for CI + fuzzing. `-M` enables old queue handling etc. which is good for a fuzzing + campaign but not good for short CI runs. + +How this can look like can, e.g., be seen at AFL++'s setup in Google's +[oss-fuzz](https://github.com/google/oss-fuzz/blob/master/infra/base-images/base-builder/compile_afl) +and +[clusterfuzz](https://github.com/google/clusterfuzz/blob/master/src/clusterfuzz/_internal/bot/fuzzers/afl/launcher.py). + +## The End Check out the [FAQ](FAQ.md) if it maybe answers your question (that you might not even have known you had ;-) ). -- cgit 1.4.1 From 7604dba6d6ee617d75ad7523ead02b6273233db5 Mon Sep 17 00:00:00 2001 From: llzmb <46303940+llzmb@users.noreply.github.com> Date: Fri, 26 Nov 2021 13:28:04 +0100 Subject: Fix typos --- docs/env_variables.md | 18 +++++++++--------- 1 file changed, 9 insertions(+), 9 deletions(-) (limited to 'docs') diff --git a/docs/env_variables.md b/docs/env_variables.md index 34318cd4..2a004235 100644 --- a/docs/env_variables.md +++ b/docs/env_variables.md @@ -143,7 +143,7 @@ Available options: - CLANG - outdated clang instrumentation - CLASSIC - classic AFL (map[cur_loc ^ prev_loc >> 1]++) (default) - You can also specify CTX and/or NGRAM, seperate the options with a comma "," + You can also specify CTX and/or NGRAM, separate the options with a comma "," then, e.g.: `AFL_LLVM_INSTRUMENT=CLASSIC,CTX,NGRAM-4` Note: It is actually not a good idea to use both CTX and NGRAM. :) @@ -527,23 +527,23 @@ checks or alter some of the more exotic semantics of the tool: The QEMU wrapper used to instrument binary-only code supports several settings: - Setting `AFL_COMPCOV_LEVEL` enables the CompareCoverage tracing of all cmp - and sub in x86 and x86_64 and memory comparions functions (e.g. strcmp, + and sub in x86 and x86_64 and memory comparison functions (e.g., strcmp, memcmp, ...) when libcompcov is preloaded using `AFL_PRELOAD`. More info at [qemu_mode/libcompcov/README.md](../qemu_mode/libcompcov/README.md). There are two levels at the moment, `AFL_COMPCOV_LEVEL=1` that instruments only comparisons with immediate values / read-only memory and - `AFL_COMPCOV_LEVEL=2` that instruments all the comparions. Level 2 is more + `AFL_COMPCOV_LEVEL=2` that instruments all the comparisons. Level 2 is more accurate but may need a larger shared memory. - - `AFL_DEBUG` will print the found entrypoint for the binary to stderr. Use - this if you are unsure if the entrypoint might be wrong - but use it + - `AFL_DEBUG` will print the found entry point for the binary to stderr. Use + this if you are unsure if the entry point might be wrong - but use it directly, e.g. `afl-qemu-trace ./program`. - - `AFL_ENTRYPOINT` allows you to specify a specific entrypoint into the binary - (this can be very good for the performance!). The entrypoint is specified as - hex address, e.g. `0x4004110`. Note that the address must be the address of - a basic block. + - `AFL_ENTRYPOINT` allows you to specify a specific entry point into the + binary (this can be very good for the performance!). The entry point is + specified as hex address, e.g. `0x4004110`. Note that the address must be + the address of a basic block. - Setting `AFL_INST_LIBS` causes the translator to also instrument the code inside any dynamically linked libraries (notably including glibc). -- cgit 1.4.1 From a699dc2d2d54d10c729466408925384f2e07819b Mon Sep 17 00:00:00 2001 From: Your Name Date: Mon, 29 Nov 2021 17:38:06 +0000 Subject: Update docs --- docs/env_variables.md | 99 +++++++++++++++++++++++++++++++++++++++++++++++---- frida_mode/README.md | 6 ++++ 2 files changed, 98 insertions(+), 7 deletions(-) (limited to 'docs') diff --git a/docs/env_variables.md b/docs/env_variables.md index cbc63032..1a330158 100644 --- a/docs/env_variables.md +++ b/docs/env_variables.md @@ -578,7 +578,92 @@ The QEMU wrapper used to instrument binary-only code supports several settings: emulation" variables (e.g., `QEMU_STACK_SIZE`), but there should be no reason to touch them. -## 6) Settings for afl-cmin +## 7) Settings for afl-frida-trace + +The FRIDA wrapper used to instrument binary-only code supports many of the same +options as `afl-qemu-trace`, but also has a number of additional advanced +options. These are listed in brief below (see [here](../frida_mode/README.md) +for more details). These settings are provided for compatibiltiy with QEMU mode, +the preferred way to configure FRIDA mode is through its +[scripting](../frida_mode/Scripting.md) support. + +* `AFL_FRIDA_DEBUG_MAPS` - See `AFL_QEMU_DEBUG_MAPS` +* `AFL_FRIDA_DRIVER_NO_HOOK` - See `AFL_QEMU_DRIVER_NO_HOOK`. When using the +QEMU driver to provide a `main` loop for a user provided +`LLVMFuzzerTestOneInput`, this option configures the driver to read input from +`stdin` rather than using in-memory test cases. +* `AFL_FRIDA_EXCLUDE_RANGES` - See `AFL_QEMU_EXCLUDE_RANGES` +* `AFL_FRIDA_INST_COVERAGE_FILE` - File to write DynamoRio format coverage +information (e.g. to be loaded within IDA lighthouse). +* `AFL_FRIDA_INST_DEBUG_FILE` - File to write raw assembly of original blocks +and their instrumented counterparts during block compilation. +* `AFL_FRIDA_INST_JIT` - Enable the instrumentation of Just-In-Time compiled +code. Code is considered to be JIT if the executable segment is not backed by a +file. +* `AFL_FRIDA_INST_NO_OPTIMIZE` - Don't use optimized inline assembly coverage +instrumentation (the default where available). Required to use +`AFL_FRIDA_INST_TRACE`. +* `AFL_FRIDA_INST_NO_BACKPATCH` - Disable backpatching. At the end of executing +each block, control will return to FRIDA to identify the next block to execute. +* `AFL_FRIDA_INST_NO_PREFETCH` - Disable prefetching. By default the child will +report instrumented blocks back to the parent so that it can also instrument +them and they be inherited by the next child on fork, implies +`AFL_FRIDA_INST_NO_PREFETCH_BACKPATCH`. +* `AFL_FRIDA_INST_NO_PREFETCH_BACKPATCH` - Disable prefetching of stalker +backpatching information. By default the child will report applied backpatches +to the parent so that they can be applied and then be inherited by the next +child on fork. +* `AFL_FRIDA_INST_RANGES` - See `AFL_QEMU_INST_RANGES` +* `AFL_FRIDA_INST_SEED` - Sets the initial seed for the hash function used to +generate block (and hence edge) IDs. Setting this to a constant value may be +useful for debugging purposes, e.g. investigating unstable edges. +* `AFL_FRIDA_INST_TRACE` - Log to stdout the address of executed blocks, +implies `AFL_FRIDA_INST_NO_OPTIMIZE`. +* `AFL_FRIDA_INST_TRACE_UNIQUE` - As per `AFL_FRIDA_INST_TRACE`, but each edge +is logged only once, requires `AFL_FRIDA_INST_NO_OPTIMIZE`. +* `AFL_FRIDA_INST_UNSTABLE_COVERAGE_FILE` - File to write DynamoRio format +coverage information for unstable edges (e.g. to be loaded within IDA +lighthouse). +* `AFL_FRIDA_JS_SCRIPT` - Set the script to be loaded by the FRIDA scripting +engine. See [here](Scripting.md) for details. +* `AFL_FRIDA_OUTPUT_STDOUT` - Redirect the standard output of the target +application to the named file (supersedes the setting of `AFL_DEBUG_CHILD`) +* `AFL_FRIDA_OUTPUT_STDERR` - Redirect the standard error of the target +application to the named file (supersedes the setting of `AFL_DEBUG_CHILD`) +* `AFL_FRIDA_PERSISTENT_ADDR` - See `AFL_QEMU_PERSISTENT_ADDR` +* `AFL_FRIDA_PERSISTENT_CNT` - See `AFL_QEMU_PERSISTENT_CNT` +* `AFL_FRIDA_PERSISTENT_DEBUG` - Insert a Breakpoint into the instrumented code +at `AFL_FRIDA_PERSISTENT_HOOK` and `AFL_FRIDA_PERSISTENT_RET` to allow the user +to detect issues in the persistent loop using a debugger. +* `AFL_FRIDA_PERSISTENT_HOOK` - See `AFL_QEMU_PERSISTENT_HOOK` +* `AFL_FRIDA_PERSISTENT_RET` - See `AFL_QEMU_PERSISTENT_RET` +* `AFL_FRIDA_SECCOMP_FILE` - Write a log of any syscalls made by the target to +the specified file. +* `AFL_FRIDA_STALKER_ADJACENT_BLOCKS` - Configure the number of adjacent blocks + to fetch when generating instrumented code. By fetching blocks in the same + order they appear in the original program, rather than the order of execution + should help reduce locallity and adjacency. This includes allowing us to vector + between adjancent blocks using a NOP slide rather than an immediate branch. +* `AFL_FRIDA_STALKER_IC_ENTRIES` - Configure the number of inline cache entries +stored along-side branch instructions which provide a cache to avoid having to +call back into FRIDA to find the next block. Default is 32. +* `AFL_FRIDA_STATS_FILE` - Write statistics information about the code being +instrumented to the given file name. The statistics are written only for the +child process when new block is instrumented (when the +`AFL_FRIDA_STATS_INTERVAL` has expired). Note that simply because a new path is +found does not mean a new block needs to be compiled. It could simply be that +the existing blocks instrumented have been executed in a different order. +* `AFL_FRIDA_STATS_INTERVAL` - The maximum frequency to output statistics +information. Stats will be written whenever they are updated if the given +interval has elapsed since last time they were written. +* `AFL_FRIDA_TRACEABLE` - Set the child process to be traceable by any process +to aid debugging and overcome the restrictions imposed by YAMA. Supported on +Linux only. Permits a non-root user to use `gcore` or similar to collect a core +dump of the instrumented target. Note that in order to capture the core dump you +must set a sufficient timeout (using `-t`) to avoid `afl-fuzz` killing the +process whilst it is being dumped. + +## 8) Settings for afl-cmin The corpus minimization script offers very little customization: @@ -596,7 +681,7 @@ The corpus minimization script offers very little customization: - `AFL_PRINT_FILENAMES` prints each filename to stdout, as it gets processed. This can help when embedding `afl-cmin` or `afl-showmap` in other scripts. -## 7) Settings for afl-tmin +## 9) Settings for afl-tmin Virtually nothing to play with. Well, in QEMU mode (`-Q`), `AFL_PATH` will be searched for afl-qemu-trace. In addition to this, `TMPDIR` may be used if a @@ -607,12 +692,12 @@ to match when minimizing crashes. This will make minimization less useful, but may prevent the tool from "jumping" from one crashing condition to another in very buggy software. You probably want to combine it with the `-e` flag. -## 8) Settings for afl-analyze +## 10) Settings for afl-analyze You can set `AFL_ANALYZE_HEX` to get file offsets printed as hexadecimal instead of decimal. -## 9) Settings for libdislocator +## 11) Settings for libdislocator The library honors these environment variables: @@ -634,12 +719,12 @@ The library honors these environment variables: - `AFL_LD_VERBOSE` causes the library to output some diagnostic messages that may be useful for pinpointing the cause of any observed issues. -## 10) Settings for libtokencap +## 11) Settings for libtokencap This library accepts `AFL_TOKEN_FILE` to indicate the location to which the discovered tokens should be written. -## 11) Third-party variables set by afl-fuzz & other tools +## 12) Third-party variables set by afl-fuzz & other tools Several variables are not directly interpreted by afl-fuzz, but are set to optimal values if not already present in the environment: @@ -684,4 +769,4 @@ optimal values if not already present in the environment: - By default, `LD_BIND_NOW` is set to speed up fuzzing by forcing the linker to do all the work before the fork server kicks in. You can override this by - setting `LD_BIND_LAZY` beforehand, but it is almost certainly pointless. \ No newline at end of file + setting `LD_BIND_LAZY` beforehand, but it is almost certainly pointless. diff --git a/frida_mode/README.md b/frida_mode/README.md index a75324d5..6c46fe08 100644 --- a/frida_mode/README.md +++ b/frida_mode/README.md @@ -145,6 +145,10 @@ instances run CMPLOG mode and instrumentation of the binary is less frequent (only on CMP, SUB and CALL instructions) performance is not quite so critical. ## Advanced configuration options +* `AFL_FRIDA_DRIVER_NO_HOOK` - See `AFL_QEMU_DRIVER_NO_HOOK`. When using the +QEMU driver to provide a `main` loop for a user provided +`LLVMFuzzerTestOneInput`, this option configures the driver to read input from +`stdin` rather than using in-memory test cases. * `AFL_FRIDA_INST_COVERAGE_FILE` - File to write DynamoRio format coverage information (e.g. to be loaded within IDA lighthouse). * `AFL_FRIDA_INST_DEBUG_FILE` - File to write raw assembly of original blocks @@ -194,6 +198,8 @@ is logged only once, requires `AFL_FRIDA_INST_NO_OPTIMIZE`. * `AFL_FRIDA_INST_UNSTABLE_COVERAGE_FILE` - File to write DynamoRio format coverage information for unstable edges (e.g. to be loaded within IDA lighthouse). +* `AFL_FRIDA_JS_SCRIPT` - Set the script to be loaded by the FRIDA scripting +engine. See [here](Scripting.md) for details. * `AFL_FRIDA_OUTPUT_STDOUT` - Redirect the standard output of the target application to the named file (supersedes the setting of `AFL_DEBUG_CHILD`) * `AFL_FRIDA_OUTPUT_STDERR` - Redirect the standard error of the target -- cgit 1.4.1 From c2779cc6f9c904cba870e6b1059793cf38261766 Mon Sep 17 00:00:00 2001 From: vanhauser-thc Date: Wed, 1 Dec 2021 10:24:11 +0100 Subject: update docs --- TODO.md | 3 ++- docs/Changelog.md | 1 + 2 files changed, 3 insertions(+), 1 deletion(-) (limited to 'docs') diff --git a/TODO.md b/TODO.md index 1d4270b4..7d2339eb 100644 --- a/TODO.md +++ b/TODO.md @@ -2,16 +2,17 @@ ## TODO - - screen update during input2stage - better autodetection of shifting runtime timeout values - Update afl->pending_not_fuzzed for MOpt - afl-plot to support multiple plot_data - parallel builds for source-only targets + - get rid of check_binary, replace with more forkserver communication ## Perhaps - afl_custom_fuzz_splice_optin() - afl_custom_splice() + - cmdline option from-to range for mutations ## Further down the road diff --git a/docs/Changelog.md b/docs/Changelog.md index 054f0fef..103f9f63 100644 --- a/docs/Changelog.md +++ b/docs/Changelog.md @@ -40,6 +40,7 @@ sending a mail to . - new cmplog mode (incompatible with older afl++ versions) - support llvm IR select instrumentation for default PCGUARD and LTO - fix for shared linking on MacOS + - fixed a potential crash in targets for LAF string handling - added AFL_USE_TSAN thread sanitizer support - llvm and LTO mode modified to work with new llvm 14-dev (again) - added the very good grammar mutator "GramaTron" to the -- cgit 1.4.1 From d9e39be4e8dd0242877412d1a17589acc825292e Mon Sep 17 00:00:00 2001 From: llzmb <46303940+llzmb@users.noreply.github.com> Date: Thu, 2 Dec 2021 16:49:16 +0100 Subject: Remove the word "simply" --- custom_mutators/gramatron/README.md | 6 +++--- docs/env_variables.md | 10 +++++----- docs/fuzzing_binary-only_targets.md | 3 +-- docs/fuzzing_in_depth.md | 10 +++++----- frida_mode/DEBUGGING.md | 6 +++--- frida_mode/MapDensity.md | 14 +++++++------- frida_mode/README.md | 10 +++++----- frida_mode/Scripting.md | 2 +- instrumentation/README.llvm.md | 4 ++-- qemu_mode/libcompcov/README.md | 6 +++--- utils/libtokencap/README.md | 8 ++++---- 11 files changed, 39 insertions(+), 40 deletions(-) (limited to 'docs') diff --git a/custom_mutators/gramatron/README.md b/custom_mutators/gramatron/README.md index 91f93355..c8a76e3e 100644 --- a/custom_mutators/gramatron/README.md +++ b/custom_mutators/gramatron/README.md @@ -5,11 +5,11 @@ grammar-aware fuzzing. Technical details about our framework are available in the [ISSTA'21 paper](https://nebelwelt.net/files/21ISSTA.pdf). The artifact to reproduce the experiments presented in the paper are present in `artifact/`. Instructions to run a sample campaign and incorporate new -grammars is presented below: +grammars is presented below: # Compiling -Simply execute `./build_gramatron_mutator.sh` +Execute `./build_gramatron_mutator.sh` # Running @@ -25,7 +25,7 @@ afl-fuzz -i in -o out -- ./target # Adding and testing a new grammar -- Specify in a JSON format for CFG. Examples are correspond `source.json` files +- Specify in a JSON format for CFG. Examples are correspond `source.json` files - Run the automaton generation script (in `src/gramfuzz-mutator/preprocess`) which will place the generated automaton in the same folder. ``` diff --git a/docs/env_variables.md b/docs/env_variables.md index c1c70ec5..6f6110ae 100644 --- a/docs/env_variables.md +++ b/docs/env_variables.md @@ -59,9 +59,9 @@ fairly broad use of environment variables instead: otherwise. - By default, the wrapper appends `-O3` to optimize builds. Very rarely, this - will cause problems in programs built with -Werror, simply because `-O3` - enables more thorough code analysis and can spew out additional warnings. To - disable optimizations, set `AFL_DONT_OPTIMIZE`. However, if `-O...` and/or + will cause problems in programs built with -Werror, because `-O3` enables + more thorough code analysis and can spew out additional warnings. To disable + optimizations, set `AFL_DONT_OPTIMIZE`. However, if `-O...` and/or `-fno-unroll-loops` are set, these are not overridden. - Setting `AFL_HARDEN` automatically adds code hardening options when invoking @@ -651,8 +651,8 @@ call back into FRIDA to find the next block. Default is 32. * `AFL_FRIDA_STATS_FILE` - Write statistics information about the code being instrumented to the given file name. The statistics are written only for the child process when new block is instrumented (when the -`AFL_FRIDA_STATS_INTERVAL` has expired). Note that simply because a new path is -found does not mean a new block needs to be compiled. It could simply be that +`AFL_FRIDA_STATS_INTERVAL` has expired). Note that just because a new path is +found does not mean a new block needs to be compiled. It could be that the existing blocks instrumented have been executed in a different order. * `AFL_FRIDA_STATS_INTERVAL` - The maximum frequency to output statistics information. Stats will be written whenever they are updated if the given diff --git a/docs/fuzzing_binary-only_targets.md b/docs/fuzzing_binary-only_targets.md index 290c9bec..2d57d0dc 100644 --- a/docs/fuzzing_binary-only_targets.md +++ b/docs/fuzzing_binary-only_targets.md @@ -129,8 +129,7 @@ Unicorn is a fork of QEMU. The instrumentation is, therefore, very similar. In contrast to QEMU, Unicorn does not offer a full system or even userland emulation. Runtime environment and/or loaders have to be written from scratch, if needed. On top, block chaining has been removed. This means the speed boost -introduced in the patched QEMU Mode of AFL++ cannot simply be ported over to -Unicorn. +introduced in the patched QEMU Mode of AFL++ cannot be ported over to Unicorn. For non-Linux binaries, you can use AFL++'s unicorn_mode which can emulate anything you want - for the price of speed and user written scripts. diff --git a/docs/fuzzing_in_depth.md b/docs/fuzzing_in_depth.md index 251bbc1d..7aabe090 100644 --- a/docs/fuzzing_in_depth.md +++ b/docs/fuzzing_in_depth.md @@ -427,8 +427,8 @@ It can be valuable to run afl-fuzz in a screen or tmux shell so you can log off, or afl-fuzz is not aborted if you are running it in a remote ssh session where the connection fails in between. Only do that though once you have verified that your fuzzing setup works! -Simply run it like `screen -dmS afl-main -- afl-fuzz -M main-$HOSTNAME -i ...` -and it will start away in a screen session. To enter this session simply type +Run it like `screen -dmS afl-main -- afl-fuzz -M main-$HOSTNAME -i ...` +and it will start away in a screen session. To enter this session, type `screen -r afl-main`. You see - it makes sense to name the screen session same as the afl-fuzz -M/-S naming :-) For more information on screen or tmux please check their documentation. @@ -457,7 +457,7 @@ handling in the target. Play around with various -m values until you find one that safely works for all your input seeds (if you have good ones and then double or quadruple that. -By default afl-fuzz never stops fuzzing. To terminate AFL++ simply press +By default afl-fuzz never stops fuzzing. To terminate AFL++, press Control-C or send a signal SIGINT. You can limit the number of executions or approximate runtime in seconds with options also. @@ -554,7 +554,7 @@ recommended! ### d) Using multiple machines for fuzzing Maybe you have more than one machine you want to fuzz the same target on. -Simply start the `afl-fuzz` (and perhaps libfuzzer, honggfuzz, ...) +Start the `afl-fuzz` (and perhaps libfuzzer, honggfuzz, ...) orchestra as you like, just ensure that your have one and only one `-M` instance per server, and that its name is unique, hence the recommendation for `-M main-$HOSTNAME`. @@ -609,7 +609,7 @@ e.g., `afl-plot out/default /srv/www/htdocs/plot`. ### f) Stopping fuzzing, restarting fuzzing, adding new seeds -To stop an afl-fuzz run, simply press Control-C. +To stop an afl-fuzz run, press Control-C. To restart an afl-fuzz run, just reuse the same command line but replace the `-i directory` with `-i -` or set `AFL_AUTORESUME=1`. diff --git a/frida_mode/DEBUGGING.md b/frida_mode/DEBUGGING.md index 9cdc5eb6..b703ae43 100644 --- a/frida_mode/DEBUGGING.md +++ b/frida_mode/DEBUGGING.md @@ -160,9 +160,9 @@ Lastly, if your defect only occurs when using `afl-fuzz` (e.g., when using shared memory mapping being created for it to record its data), it is possible to enable the creation of a core dump for post-mortem analysis. -Firstly, check if your `/proc/sys/kernel/core_pattern` configuration is simply -set to a filename (AFL++ encourages you to set it to the value `core` in any -case since it doesn't want any handler applications getting in the way). +Firstly, check if your `/proc/sys/kernel/core_pattern` configuration is set to a +filename (AFL++ encourages you to set it to the value `core` in any case since +it doesn't want any handler applications getting in the way). Next, set `ulimit -c unlimited` to remove any size limitations for core files. diff --git a/frida_mode/MapDensity.md b/frida_mode/MapDensity.md index b6a96ca0..50f2720f 100644 --- a/frida_mode/MapDensity.md +++ b/frida_mode/MapDensity.md @@ -77,13 +77,13 @@ evenly distributed. We start with a large address and need to discard a large number of the bits to generate a block ID which is within range. But how do we choose the unique bits of the address versus those which are the same for every block? The high bits of -the address may simply be all `0s` or all `1s` to make the address canonical, -the middle portion of the address may be the same for all blocks (since if they -are all within the same binary, then they will all be adjacent in memory), and -on some systems, even the low bits may have poor entropy as some use fixed -length aligned instructions. Then we need to consider that a portion of each -binary may contain the `.data` or `.bss` sections and so may not contain any -blocks of code at all. +the address may be all `0s` or all `1s` to make the address canonical, the +middle portion of the address may be the same for all blocks (since if they are +all within the same binary, then they will all be adjacent in memory), and on +some systems, even the low bits may have poor entropy as some use fixed length +aligned instructions. Then we need to consider that a portion of each binary may +contain the `.data` or `.bss` sections and so may not contain any blocks of code +at all. ### Edge IDs diff --git a/frida_mode/README.md b/frida_mode/README.md index c19280e1..c2b98473 100644 --- a/frida_mode/README.md +++ b/frida_mode/README.md @@ -229,9 +229,9 @@ instances run CMPLOG mode and instrumentation of the binary is less frequent * `AFL_FRIDA_STATS_FILE` - Write statistics information about the code being instrumented to the given file name. The statistics are written only for the child process when new block is instrumented (when the - `AFL_FRIDA_STATS_INTERVAL` has expired). Note that simply because a new path - is found does not mean a new block needs to be compiled. It could simply be - that the existing blocks instrumented have been executed in a different order. + `AFL_FRIDA_STATS_INTERVAL` has expired). Note that just because a new path is + found does not mean a new block needs to be compiled. It could be that the + existing blocks instrumented have been executed in a different order. ``` stats @@ -359,8 +359,8 @@ An example of how to fuzz a dynamic library on OSX is included, see [test/osx-lib](test/osx-lib). This requires the use of a simple test harness executable which will load the library and call a target function within it. The dependent library can either be loaded in using `dlopen` and `dlsym` in a -function marked `__attribute__((constructor()))` or the test harness can simply -be linked against it. It is important that the target library is loaded before +function marked `__attribute__((constructor()))` or the test harness can be +linked against it. It is important that the target library is loaded before execution of `main`, since this is the point where FRIDA mode is initialized. Otherwise, it will not be possible to configure coverage for the test library using `AFL_FRIDA_INST_RANGES` or similar. diff --git a/frida_mode/Scripting.md b/frida_mode/Scripting.md index fcf8a490..fd4282db 100644 --- a/frida_mode/Scripting.md +++ b/frida_mode/Scripting.md @@ -511,7 +511,7 @@ int main(int argc, char **argv) { ``` There are a couple of obstacles with our target application. Unlike when fuzzing -source code, though, we can't simply edit it and recompile it. The following +source code, though, we can't just edit it and recompile it. The following script shows how we can use the normal functionality of FRIDA to modify any troublesome behavior. diff --git a/instrumentation/README.llvm.md b/instrumentation/README.llvm.md index 88ea0127..35f38261 100644 --- a/instrumentation/README.llvm.md +++ b/instrumentation/README.llvm.md @@ -126,8 +126,8 @@ Then there are different ways of instrumenting the target: 1. An better instrumentation strategy uses LTO and link time instrumentation. Note that not all targets can compile in this mode, however if it works it is - the best option you can use. Simply use afl-clang-lto/afl-clang-lto++ to use - this option. See [README.lto.md](README.lto.md). + the best option you can use. To go with this option, use + afl-clang-lto/afl-clang-lto++. See [README.lto.md](README.lto.md). 2. Alternatively you can choose a completely different coverage method: diff --git a/qemu_mode/libcompcov/README.md b/qemu_mode/libcompcov/README.md index fca20a69..6a72f5ff 100644 --- a/qemu_mode/libcompcov/README.md +++ b/qemu_mode/libcompcov/README.md @@ -23,7 +23,7 @@ To use this library make sure to preload it with AFL_PRELOAD. ``` export AFL_PRELOAD=/path/to/libcompcov.so export AFL_COMPCOV_LEVEL=1 - + afl-fuzz -Q -i input -o output -- ``` @@ -33,5 +33,5 @@ logs all the comparisons. The library make use of https://github.com/ouadev/proc_maps_parser and so it is Linux specific. However this is not a strict dependency, other UNIX operating -systems can be supported simply replacing the code related to the -/proc/self/maps parsing. +systems can be supported by replacing the code related to the +/proc/self/maps parsing. \ No newline at end of file diff --git a/utils/libtokencap/README.md b/utils/libtokencap/README.md index a39ed3a5..91ebebd1 100644 --- a/utils/libtokencap/README.md +++ b/utils/libtokencap/README.md @@ -40,10 +40,10 @@ when using afl-gcc. This setting specifically adds the following flags: -fno-builtin-strcasestr ``` -The next step is simply loading this library via LD_PRELOAD. The optimal usage -pattern is to allow afl-fuzz to fuzz normally for a while and build up a corpus, -and then fire off the target binary, with libtokencap.so loaded, on every file -found by AFL in that earlier run. This demonstrates the basic principle: +The next step is to load this library via LD_PRELOAD. The optimal usage pattern +is to allow afl-fuzz to fuzz normally for a while and build up a corpus, and +then fire off the target binary, with libtokencap.so loaded, on every file found +by AFL in that earlier run. This demonstrates the basic principle: ``` export AFL_TOKEN_FILE=$PWD/temp_output.txt -- cgit 1.4.1 From 0ae9b0dff4773c34913d89d8efcab4453552c140 Mon Sep 17 00:00:00 2001 From: llzmb <46303940+llzmb@users.noreply.github.com> Date: Thu, 2 Dec 2021 17:01:45 +0100 Subject: Remove the word "please" --- README.md | 2 +- docs/custom_mutators.md | 9 +++++---- docs/env_variables.md | 2 +- docs/fuzzing_in_depth.md | 4 ++-- frida_mode/README.md | 4 ++-- instrumentation/README.laf-intel.md | 6 +++--- instrumentation/README.llvm.md | 8 ++++---- unicorn_mode/README.md | 38 ++++++++++++++++++------------------- utils/optimin/README.md | 8 ++++---- 9 files changed, 41 insertions(+), 40 deletions(-) (limited to 'docs') diff --git a/README.md b/README.md index e74c91e5..dbf49b20 100644 --- a/README.md +++ b/README.md @@ -28,7 +28,7 @@ terms of the Apache-2.0 License. See the [LICENSE](LICENSE) for details. Here is some information to get you started: -* For releases, please see the +* For releases, see the [Releases tab](https://github.com/AFLplusplus/AFLplusplus/releases) and [branches](#branches). Also take a look at the list of [important changes in AFL++](docs/important_changes.md). diff --git a/docs/custom_mutators.md b/docs/custom_mutators.md index b1dfd309..2caba560 100644 --- a/docs/custom_mutators.md +++ b/docs/custom_mutators.md @@ -5,7 +5,7 @@ For now, we support C/C++ library and Python module, collectivelly named as the custom mutator. There is also experimental support for Rust in `custom_mutators/rust`. -Please refer to that directory for documentation. +For documentation, refer to that directory. Run ```cargo doc -p custom_mutator --open``` in that directory to view the documentation in your web browser. @@ -25,7 +25,8 @@ Now AFL also supports multiple custom mutators which can be specified in the sam ```bash export AFL_CUSTOM_MUTATOR_LIBRARY="full/path/to/mutator_first.so;full/path/to/mutator_second.so" ``` -Please see [APIs](#2-apis) and [Usage](#3-usage) for detail. + +For details, see [APIs](#2-apis) and [Usage](#3-usage). The custom mutation stage is set to be the first non-deterministic stage (right before the havoc stage). @@ -288,8 +289,8 @@ afl-fuzz /path/to/program ## 4) Example -Please see [example.c](../custom_mutators/examples/example.c) and -[example.py](../custom_mutators/examples/example.py) +See [example.c](../custom_mutators/examples/example.c) and +[example.py](../custom_mutators/examples/example.py). ## 5) Other Resources diff --git a/docs/env_variables.md b/docs/env_variables.md index 6f6110ae..bb7ea70b 100644 --- a/docs/env_variables.md +++ b/docs/env_variables.md @@ -320,7 +320,7 @@ checks or alter some of the more exotic semantics of the tool: additional mutations. If `AFL_CUSTOM_MUTATOR_ONLY` is also set, all mutations will solely be performed with the custom mutator. This feature allows to configure custom mutators which can be very helpful, e.g. fuzzing - XML or other highly flexible structured input. Please see + XML or other highly flexible structured input. For details, see [custom_mutators.md](custom_mutators.md). - Setting `AFL_CYCLE_SCHEDULES` will switch to a different schedule every time diff --git a/docs/fuzzing_in_depth.md b/docs/fuzzing_in_depth.md index 7aabe090..c94590a4 100644 --- a/docs/fuzzing_in_depth.md +++ b/docs/fuzzing_in_depth.md @@ -1,7 +1,7 @@ # Fuzzing with AFL++ The following describes how to fuzz with a target if source code is available. -If you have a binary-only target, please go to +If you have a binary-only target, go to [fuzzing_binary-only_targets.md](fuzzing_binary-only_targets.md). Fuzzing source code is a three-step process: @@ -431,7 +431,7 @@ Run it like `screen -dmS afl-main -- afl-fuzz -M main-$HOSTNAME -i ...` and it will start away in a screen session. To enter this session, type `screen -r afl-main`. You see - it makes sense to name the screen session same as the afl-fuzz -M/-S naming :-) -For more information on screen or tmux please check their documentation. +For more information on screen or tmux, check their documentation. If you need to stop and re-start the fuzzing, use the same command line options (or even change them by selecting a different power schedule or another mutation diff --git a/frida_mode/README.md b/frida_mode/README.md index c2b98473..58519699 100644 --- a/frida_mode/README.md +++ b/frida_mode/README.md @@ -367,8 +367,8 @@ using `AFL_FRIDA_INST_RANGES` or similar. ## Debugging -Please refer to [DEBUGGING.md](DEBUGGING.md) for assistance should you encounter -problems with FRIDA mode. +Should you encounter problems with FRIDA mode, refer to +[DEBUGGING.md](DEBUGGING.md) for assistance. ## To do diff --git a/instrumentation/README.laf-intel.md b/instrumentation/README.laf-intel.md index 3cde10c3..06e653ea 100644 --- a/instrumentation/README.laf-intel.md +++ b/instrumentation/README.laf-intel.md @@ -42,9 +42,9 @@ comparisons. A new experimental feature is splitting floating point comparisons into a series of sign, exponent and mantissa comparisons followed by splitting each of them into 8 bit comparisons when necessary. It is activated with the -`AFL_LLVM_LAF_SPLIT_FLOATS` setting. Please note that full IEEE 754 -functionality is not preserved, that is values of nan and infinity will probably -behave differently. +`AFL_LLVM_LAF_SPLIT_FLOATS` setting. Note that full IEEE 754 functionality is +not preserved, that is values of nan and infinity will probably behave +differently. Note that setting this automatically activates `AFL_LLVM_LAF_SPLIT_COMPARES`. diff --git a/instrumentation/README.llvm.md b/instrumentation/README.llvm.md index 35f38261..8133cbe4 100644 --- a/instrumentation/README.llvm.md +++ b/instrumentation/README.llvm.md @@ -119,8 +119,8 @@ If you need just to instrument specific parts of the code, you can the instrument file list which C/C++ files to actually instrument. See [README.instrument_list.md](README.instrument_list.md) -For splitting memcmp, strncmp, etc. please see -[README.laf-intel.md](README.laf-intel.md) +For splitting memcmp, strncmp, etc., see +[README.laf-intel.md](README.laf-intel.md). Then there are different ways of instrumenting the target: @@ -157,8 +157,8 @@ nozero counter default for performance reasons. ## 4) deferred initialization, persistent mode, shared memory fuzzing -This is the most powerful and effective fuzzing you can do. Please see -[README.persistent_mode.md](README.persistent_mode.md) for a full explanation. +This is the most powerful and effective fuzzing you can do. For a full +explanation, see [README.persistent_mode.md](README.persistent_mode.md). ## 5) Bonus feature: 'dict2file' pass diff --git a/unicorn_mode/README.md b/unicorn_mode/README.md index d2b7d16f..ed85e687 100644 --- a/unicorn_mode/README.md +++ b/unicorn_mode/README.md @@ -10,8 +10,8 @@ The CompareCoverage and NeverZero counters features are by Andrea Fioraldi Date: Thu, 2 Dec 2021 17:03:06 +0100 Subject: Change the word "chapter" to "section" --- docs/afl-fuzz_approach.md | 2 +- instrumentation/README.lto.md | 2 +- 2 files changed, 2 insertions(+), 2 deletions(-) (limited to 'docs') diff --git a/docs/afl-fuzz_approach.md b/docs/afl-fuzz_approach.md index e0d5a1c9..4e8e5eaa 100644 --- a/docs/afl-fuzz_approach.md +++ b/docs/afl-fuzz_approach.md @@ -37,7 +37,7 @@ superior to blind fuzzing or coverage-only tools. ## Understanding the status screen -This chapter provides an overview of the status screen - plus tips for +This section provides an overview of the status screen - plus tips for troubleshooting any warnings and red text shown in the UI. For the general instruction manual, see [README.md](../README.md). diff --git a/instrumentation/README.lto.md b/instrumentation/README.lto.md index a74425dc..24e57b23 100644 --- a/instrumentation/README.lto.md +++ b/instrumentation/README.lto.md @@ -202,7 +202,7 @@ bytes or which functions were touched by an input. ## Solving difficult targets Some targets are difficult because the configure script does unusual stuff that -is unexpected for afl. See the next chapter `Potential issues` for how to solve +is unexpected for afl. See the next section `Potential issues` for how to solve these. ### Example: ffmpeg -- cgit 1.4.1 From 73e9677a881a6d8a43a02aba5a7d8000c0f87987 Mon Sep 17 00:00:00 2001 From: llzmb <46303940+llzmb@users.noreply.github.com> Date: Thu, 2 Dec 2021 17:08:06 +0100 Subject: Change the word "behaviour" (BE) to "behavior" (AE) --- docs/env_variables.md | 4 ++-- docs/fuzzing_in_depth.md | 6 +++--- docs/important_changes.md | 10 +++++----- 3 files changed, 10 insertions(+), 10 deletions(-) (limited to 'docs') diff --git a/docs/env_variables.md b/docs/env_variables.md index bb7ea70b..ec9b2b01 100644 --- a/docs/env_variables.md +++ b/docs/env_variables.md @@ -109,7 +109,7 @@ fairly broad use of environment variables instead: - `AFL_USE_MSAN=1` - activates the memory sanitizer (uninitialized memory) - `AFL_USE_TSAN=1` - activates the thread sanitizer to find thread race conditions - - `AFL_USE_UBSAN=1` - activates the undefined behaviour sanitizer + - `AFL_USE_UBSAN=1` - activates the undefined behavior sanitizer - `TMPDIR` is used by afl-as for temporary files; if this variable is not set, the tool defaults to /tmp. @@ -336,7 +336,7 @@ checks or alter some of the more exotic semantics of the tool: - Setting `AFL_DISABLE_TRIM` tells afl-fuzz not to trim test cases. This is usually a bad idea! - - `AFL_EXIT_ON_SEED_ISSUES` will restore the vanilla afl-fuzz behaviour which + - `AFL_EXIT_ON_SEED_ISSUES` will restore the vanilla afl-fuzz behavior which does not allow crashes or timeout seeds in the initial -i corpus. - `AFL_EXIT_ON_TIME` causes afl-fuzz to terminate if no new paths were found diff --git a/docs/fuzzing_in_depth.md b/docs/fuzzing_in_depth.md index c94590a4..8188a18e 100644 --- a/docs/fuzzing_in_depth.md +++ b/docs/fuzzing_in_depth.md @@ -178,8 +178,8 @@ The following sanitizers have built-in support in AFL++: * MSAN = Memory SANitizer, finds read access to uninitialized memory, eg. a local variable that is defined and read before it is even set. Enabled with `export AFL_USE_MSAN=1` before compiling. -* UBSAN = Undefined Behaviour SANitizer, finds instances where - by the C and - C++ standards - undefined behaviour happens, e.g. adding two signed integers +* UBSAN = Undefined Behavior SANitizer, finds instances where - by the C and C++ + standards - undefined behavior happens, e.g. adding two signed integers together where the result is larger than a signed integer can hold. Enabled with `export AFL_USE_UBSAN=1` before compiling. * CFISAN = Control Flow Integrity SANitizer, finds instances where the control @@ -196,7 +196,7 @@ The following sanitizers have built-in support in AFL++: of the target source code where you find a leak check necessary! Enabled with `export AFL_USE_LSAN=1` before compiling. -It is possible to further modify the behaviour of the sanitizers at run-time by +It is possible to further modify the behavior of the sanitizers at run-time by setting `ASAN_OPTIONS=...`, `LSAN_OPTIONS` etc. - the available parameters can be looked up in the sanitizer documentation of llvm/clang. afl-fuzz, however, requires some specific parameters important for fuzzing to be set. If you want diff --git a/docs/important_changes.md b/docs/important_changes.md index 877dfab2..9d6bbbbe 100644 --- a/docs/important_changes.md +++ b/docs/important_changes.md @@ -1,6 +1,6 @@ # Important changes in AFL++ -This document lists important changes in AFL++, for example, major behaviour changes. +This document lists important changes in AFL++, for example, major behavior changes. ## From version 3.00 onwards @@ -8,23 +8,23 @@ With AFL++ 3.13-3.20 we introduce frida_mode (-O) to have an alternative for binary-only fuzzing. It is slower than Qemu mode but works on MacOS, Android, iOS etc. -With AFL++ 3.15 we introduced the following changes from previous behaviours: +With AFL++ 3.15 we introduced the following changes from previous behaviors: * Also -M main mode does not do deterministic fuzzing by default anymore * afl-cmin and afl-showmap -Ci now descent into subdirectories like afl-fuzz -i does (but note that afl-cmin.bash does not) -With AFL++ 3.14 we introduced the following changes from previous behaviours: +With AFL++ 3.14 we introduced the following changes from previous behaviors: * afl-fuzz: deterministic fuzzing it not a default for -M main anymore * afl-cmin/afl-showmap -i now descends into subdirectories (afl-cmin.bash however does not) -With AFL++ 3.10 we introduced the following changes from previous behaviours: +With AFL++ 3.10 we introduced the following changes from previous behaviors: * The '+' feature of the '-t' option now means to auto-calculate the timeout with the value given being the maximum timeout. The original meaning of "skipping timeouts instead of abort" is now inherent to the -t option. With AFL++ 3.00 we introduced changes that break some previous AFL and AFL++ -behaviours and defaults: +behaviors and defaults: * There are no llvm_mode and gcc_plugin subdirectories anymore and there is only one compiler: afl-cc. All previous compilers now symlink to this one. All instrumentation source code is now in the `instrumentation/` folder. -- cgit 1.4.1 From f63c2ed1450da8ab5ff38dcb7f0ab1a13d9865ca Mon Sep 17 00:00:00 2001 From: llzmb <46303940+llzmb@users.noreply.github.com> Date: Thu, 2 Dec 2021 17:09:55 +0100 Subject: Change the word "entrypoint" to "entry point" --- docs/FAQ.md | 5 ++++- 1 file changed, 4 insertions(+), 1 deletion(-) (limited to 'docs') diff --git a/docs/FAQ.md b/docs/FAQ.md index 34ed4cf5..ae4a77dc 100644 --- a/docs/FAQ.md +++ b/docs/FAQ.md @@ -33,7 +33,10 @@ If you find an interesting or important question missing, submit it via A program contains `functions`, `functions` contain the compiled machine code. The compiled machine code in a `function` can be in a single or many `basic blocks`. - A `basic block` is the largest possible number of subsequent machine code instructions that has exactly one entrypoint (which can be be entered by multiple other basic blocks) and runs linearly without branching or jumping to other addresses (except at the end). + A `basic block` is the largest possible number of subsequent machine code + instructions that has exactly one entry point (which can be be entered by + multiple other basic blocks) and runs linearly without branching or jumping to + other addresses (except at the end). ``` function() { -- cgit 1.4.1 From 7a8e4018a59fdabef395ca730d6e73f95e8daaed Mon Sep 17 00:00:00 2001 From: llzmb <46303940+llzmb@users.noreply.github.com> Date: Thu, 2 Dec 2021 17:13:12 +0100 Subject: Change the word "env var" to "environment variable" --- docs/env_variables.md | 2 +- docs/features.md | 4 ++-- docs/important_changes.md | 5 +++-- qemu_mode/README.md | 5 +++-- utils/qbdi_mode/README.md | 6 ++++-- 5 files changed, 13 insertions(+), 9 deletions(-) (limited to 'docs') diff --git a/docs/env_variables.md b/docs/env_variables.md index ec9b2b01..6c90e84c 100644 --- a/docs/env_variables.md +++ b/docs/env_variables.md @@ -564,7 +564,7 @@ The QEMU wrapper used to instrument binary-only code supports several settings: general purpose registers and restore them in each persistent cycle. - Another modality to execute the persistent loop is to specify also the - `AFL_QEMU_PERSISTENT_RET=end addr` env variable. With this variable + `AFL_QEMU_PERSISTENT_RET=end addr` environment variable. With this variable assigned, instead of patching the return address, the specified instruction is transformed to a jump towards `start addr`. diff --git a/docs/features.md b/docs/features.md index 35a869a9..fb688a64 100644 --- a/docs/features.md +++ b/docs/features.md @@ -19,8 +19,8 @@ QEMU 5.1 with laf-intel and redqueen, frida mode, unicorn mode, gcc plugin, full | Snapshot LKM Support | | (x)(8) | (x)(8) | | (x)(5) | | | | Shared Memory Test cases | | x | x | x86[_64]/arm64 | x | x | | -1. default for LLVM >= 9.0, env var for older version due an efficiency bug in - previous llvm versions +1. default for LLVM >= 9.0, environment variable for older version due an + efficiency bug in previous llvm versions 2. GCC creates non-performant code, hence it is disabled in gcc_plugin 3. with `AFL_LLVM_THREADSAFE_INST`, disables NeverZero 4. with pcguard mode and LTO mode for LLVM 11 and newer diff --git a/docs/important_changes.md b/docs/important_changes.md index 9d6bbbbe..726de64d 100644 --- a/docs/important_changes.md +++ b/docs/important_changes.md @@ -48,8 +48,9 @@ behaviors and defaults: * deterministic fuzzing is now disabled by default (unless using -M) and can be enabled with -D * a caching of test cases can now be performed and can be modified by - editing config.h for TESTCASE_CACHE or by specifying the env variable - `AFL_TESTCACHE_SIZE` (in MB). Good values are between 50-500 (default: 50). + editing config.h for TESTCASE_CACHE or by specifying the environment + variable `AFL_TESTCACHE_SIZE` (in MB). Good values are between 50-500 + (default: 50). * -M mains do not perform trimming * examples/ got renamed to utils/ * libtokencap/ libdislocator/ and qdbi_mode/ were moved to utils/ diff --git a/qemu_mode/README.md b/qemu_mode/README.md index b4b5e7bf..8e04cbf9 100644 --- a/qemu_mode/README.md +++ b/qemu_mode/README.md @@ -83,8 +83,9 @@ For more information, see [README.persistent.md](README.persistent.md). As an extension to persistent mode, qemuafl can snapshot and restore the memory state and brk(). For details, see [README.persistent.md](README.persistent.md). -The env var that enables the ready to use snapshot mode is `AFL_QEMU_SNAPSHOT` -and takes a hex address as a value that is the snapshot entry point. +The environment variable that enables the ready to use snapshot mode is +`AFL_QEMU_SNAPSHOT` and takes a hex address as a value that is the snapshot +entry point. Snapshot mode can work restoring all the writeable pages, that is typically slower than fork() mode but, on the other hand, it can scale better with diff --git a/utils/qbdi_mode/README.md b/utils/qbdi_mode/README.md index 8b768906..2e8b01d4 100755 --- a/utils/qbdi_mode/README.md +++ b/utils/qbdi_mode/README.md @@ -34,7 +34,9 @@ For x86 standalone-toolchain ./build/tools/make_standalone_toolchain.py --arch x86 --api 21 --install-dir ../android-standalone-toolchain-x86 ``` -In alternative you can also use the prebuilt toolchain, in that case make sure to set the proper CC and CXX env variables because there are many different compilers for each API version in the prebuilt toolchain. +In alternative you can also use the prebuilt toolchain, in that case make sure +to set the proper CC and CXX environment variables because there are many +different compilers for each API version in the prebuilt toolchain. For example: @@ -64,7 +66,7 @@ cd android-qbdi-sdk-x86_64/ tar xvf QBDI-0.7.0-android-X86_64.tar.gz ``` -Now set the `STANDALONE_TOOLCHAIN_PATH` to the path of standalone-toolchain +Now set the `STANDALONE_TOOLCHAIN_PATH` to the path of standalone-toolchain ``` export STANDALONE_TOOLCHAIN_PATH=/home/hac425/workspace/android-standalone-toolchain-x86_64 -- cgit 1.4.1 From b7395fa46710673602b8fb7257e502e5f129a56c Mon Sep 17 00:00:00 2001 From: llzmb <46303940+llzmb@users.noreply.github.com> Date: Thu, 2 Dec 2021 19:52:10 +0100 Subject: Change "AFL" to "AFL++" --- README.md | 2 +- coresight_mode/README.md | 7 +++++-- dictionaries/README.md | 2 +- docs/INSTALL.md | 6 +++--- docs/afl-fuzz_approach.md | 4 ++-- docs/custom_mutators.md | 3 ++- docs/env_variables.md | 4 ++-- docs/fuzzing_in_depth.md | 8 ++++---- testcases/README.md | 2 +- unicorn_mode/README.md | 10 +++++----- utils/argv_fuzzing/README.md | 4 ++-- utils/libdislocator/README.md | 8 ++++---- utils/libtokencap/README.md | 2 +- 13 files changed, 33 insertions(+), 29 deletions(-) (limited to 'docs') diff --git a/README.md b/README.md index dbf49b20..93c0dd10 100644 --- a/README.md +++ b/README.md @@ -99,7 +99,7 @@ Step-by-step quick start: To add a dictionary, add `-x /path/to/dictionary.txt` to afl-fuzz. If the program takes input from a file, you can put `@@` in the program's - command line; AFL will put an auto-generated file name in there for you. + command line; AFL++ will put an auto-generated file name in there for you. 4. Investigate anything shown in red in the fuzzer UI by promptly consulting [docs/afl-fuzz_approach.md#understanding-the-status-screen](docs/afl-fuzz_approach.md#understanding-the-status-screen). diff --git a/coresight_mode/README.md b/coresight_mode/README.md index cd1bccab..1a39d347 100644 --- a/coresight_mode/README.md +++ b/coresight_mode/README.md @@ -3,7 +3,7 @@ CoreSight mode enables binary-only fuzzing on ARM64 Linux using CoreSight (ARM's hardware tracing technology). NOTE: CoreSight mode is in the early development stage. Not applicable for production use. -Currently the following hardware boards are supported: +Currently the following hardware boards are supported: * NVIDIA Jetson TX2 (NVIDIA Parker) * NVIDIA Jetson Nano (NVIDIA Tegra X1) * GIGABYTE R181-T90 (Marvell ThunderX2 CN99XX) @@ -12,7 +12,10 @@ Currently the following hardware boards are supported: Please read the [RICSec/coresight-trace README](https://github.com/RICSecLab/coresight-trace/blob/master/README.md) and check the prerequisites (capstone) before getting started. -CoreSight mode supports the AFL fork server mode to reduce `exec` system call overhead. To support it for binary-only fuzzing, it needs to modify the target ELF binary to re-link to the patched glibc. We employ this design from [PTrix](https://github.com/junxzm1990/afl-pt). +CoreSight mode supports the AFL++ fork server mode to reduce `exec` system call +overhead. To support it for binary-only fuzzing, it needs to modify the target +ELF binary to re-link to the patched glibc. We employ this design from +[PTrix](https://github.com/junxzm1990/afl-pt). Check out all the git submodules in the `cs_mode` directory: diff --git a/dictionaries/README.md b/dictionaries/README.md index 7c587abb..2c0056f6 100644 --- a/dictionaries/README.md +++ b/dictionaries/README.md @@ -1,4 +1,4 @@ -# AFL dictionaries +# AFL++ dictionaries (See [../README.md](../README.md) for the general instruction manual.) diff --git a/docs/INSTALL.md b/docs/INSTALL.md index cfa20dea..ab6e735b 100644 --- a/docs/INSTALL.md +++ b/docs/INSTALL.md @@ -20,7 +20,7 @@ The easiest choice is to build and install everything: sudo apt-get update sudo apt-get install -y build-essential python3-dev automake git flex bison libglib2.0-dev libpixman-1-dev python3-setuptools # try to install llvm 11 and install the distro default if that fails -sudo apt-get install -y lld-11 llvm-11 llvm-11-dev clang-11 || sudo apt-get install -y lld llvm llvm-dev clang +sudo apt-get install -y lld-11 llvm-11 llvm-11-dev clang-11 || sudo apt-get install -y lld llvm llvm-dev clang sudo apt-get install -y gcc-$(gcc --version|head -n1|sed 's/.* //'|sed 's/\..*//')-plugin-dev libstdc++-$(gcc --version|head -n1|sed 's/.* //'|sed 's/\..*//')-dev sudo apt-get install -y ninja-build # for qemu_mode git clone https://github.com/AFLplusplus/AFLplusplus @@ -114,8 +114,8 @@ This means two things: - Fuzzing will be probably slower than on Linux. In fact, some folks report considerable performance gains by running the jobs inside a Linux VM on MacOS X. - - Some non-portable, platform-specific code may be incompatible with the - AFL forkserver. If you run into any problems, set `AFL_NO_FORKSRV=1` in the + - Some non-portable, platform-specific code may be incompatible with the AFL++ + forkserver. If you run into any problems, set `AFL_NO_FORKSRV=1` in the environment before starting afl-fuzz. User emulation mode of QEMU does not appear to be supported on MacOS X, so black-box instrumentation mode (`-Q`) will not work. diff --git a/docs/afl-fuzz_approach.md b/docs/afl-fuzz_approach.md index 4e8e5eaa..3e4faaec 100644 --- a/docs/afl-fuzz_approach.md +++ b/docs/afl-fuzz_approach.md @@ -348,7 +348,7 @@ That last bit is actually fairly interesting: it measures the consistency of observed traces. If a program always behaves the same for the same input data, it will earn a score of 100%. When the value is lower but still shown in purple, the fuzzing process is unlikely to be negatively affected. If it goes into red, -you may be in trouble, since AFL will have difficulty discerning between +you may be in trouble, since AFL++ will have difficulty discerning between meaningful and "phantom" effects of tweaking the input file. Now, most targets will just get a 100% score, but when you see lower figures, @@ -506,7 +506,7 @@ directory. This includes: - `edges_found` - how many edges have been found - `var_byte_count` - how many edges are non-deterministic - `afl_banner` - banner text (e.g. the target name) -- `afl_version` - the version of AFL used +- `afl_version` - the version of AFL++ used - `target_mode` - default, persistent, qemu, unicorn, non-instrumented - `command_line` - full command line used for the fuzzing session diff --git a/docs/custom_mutators.md b/docs/custom_mutators.md index 2caba560..3a2ec3b2 100644 --- a/docs/custom_mutators.md +++ b/docs/custom_mutators.md @@ -21,7 +21,8 @@ fuzzing by using libraries that perform mutations according to a given grammar. The custom mutator is passed to `afl-fuzz` via the `AFL_CUSTOM_MUTATOR_LIBRARY` or `AFL_PYTHON_MODULE` environment variable, and must export a fuzz function. -Now AFL also supports multiple custom mutators which can be specified in the same `AFL_CUSTOM_MUTATOR_LIBRARY` environment variable like this. +Now AFL++ also supports multiple custom mutators which can be specified in the +same `AFL_CUSTOM_MUTATOR_LIBRARY` environment variable like this. ```bash export AFL_CUSTOM_MUTATOR_LIBRARY="full/path/to/mutator_first.so;full/path/to/mutator_second.so" ``` diff --git a/docs/env_variables.md b/docs/env_variables.md index 6c90e84c..715a60cb 100644 --- a/docs/env_variables.md +++ b/docs/env_variables.md @@ -307,7 +307,7 @@ checks or alter some of the more exotic semantics of the tool: (`-i in`). This is an important feature to set when resuming a fuzzing session. - - Setting `AFL_CRASH_EXITCODE` sets the exit code AFL treats as crash. For + - Setting `AFL_CRASH_EXITCODE` sets the exit code AFL++ treats as crash. For example, if `AFL_CRASH_EXITCODE='-1'` is set, each input resulting in a `-1` return code (i.e. `exit(-1)` got called), will be treated as if a crash had occurred. This may be beneficial if you look for higher-level faulty @@ -493,7 +493,7 @@ checks or alter some of the more exotic semantics of the tool: This is especially useful when running multiple instances (`-M/-S` for example). Applied tags are `banner` and `afl_version`. `banner` corresponds to the name of the fuzzer provided through `-M/-S`. `afl_version` - corresponds to the currently running AFL version (e.g. `++3.0c`). Default + corresponds to the currently running AFL++ version (e.g. `++3.0c`). Default (empty/non present) will add no tags to the metrics. For more information, see [rpc_statsd.md](rpc_statsd.md). diff --git a/docs/fuzzing_in_depth.md b/docs/fuzzing_in_depth.md index 8188a18e..4d2884f6 100644 --- a/docs/fuzzing_in_depth.md +++ b/docs/fuzzing_in_depth.md @@ -106,9 +106,9 @@ You can select the mode for the afl-cc compiler by: MODE can be one of: LTO (afl-clang-lto*), LLVM (afl-clang-fast*), GCC_PLUGIN (afl-g*-fast) or GCC (afl-gcc/afl-g++) or CLANG(afl-clang/afl-clang++). -Because no AFL specific command-line options are accepted (beside the --afl-MODE -command), the compile-time tools make fairly broad use of environment variables, -which can be listed with `afl-cc -hh` or by reading +Because no AFL++ specific command-line options are accepted (beside the +--afl-MODE command), the compile-time tools make fairly broad use of environment +variables, which can be listed with `afl-cc -hh` or by reading [env_variables.md](env_variables.md). ### b) Selecting instrumentation options @@ -213,7 +213,7 @@ is more effective). If the target has features that make fuzzing more difficult, e.g. checksums, HMAC, etc. then modify the source code so that checks for these values are removed. This can even be done safely for source code used in operational -products by eliminating these checks within these AFL specific blocks: +products by eliminating these checks within these AFL++ specific blocks: ``` #ifdef FUZZING_BUILD_MODE_UNSAFE_FOR_PRODUCTION diff --git a/testcases/README.md b/testcases/README.md index ef38d3c4..a2f74d68 100644 --- a/testcases/README.md +++ b/testcases/README.md @@ -1,4 +1,4 @@ -# AFL starting test cases +# AFL++ starting test cases (See [../README.md](../README.md) for the general instruction manual.) diff --git a/unicorn_mode/README.md b/unicorn_mode/README.md index ed85e687..4c95e8f3 100644 --- a/unicorn_mode/README.md +++ b/unicorn_mode/README.md @@ -8,7 +8,8 @@ The CompareCoverage and NeverZero counters features are by Andrea Fioraldi Date: Thu, 2 Dec 2021 20:14:54 +0100 Subject: Fix spelling of words related to "build" --- docs/custom_mutators.md | 2 +- instrumentation/README.lto.md | 2 +- utils/autodict_ql/readme.md | 6 +++--- utils/qbdi_mode/README.md | 6 +++--- 4 files changed, 8 insertions(+), 8 deletions(-) (limited to 'docs') diff --git a/docs/custom_mutators.md b/docs/custom_mutators.md index 3a2ec3b2..7d362950 100644 --- a/docs/custom_mutators.md +++ b/docs/custom_mutators.md @@ -218,7 +218,7 @@ trimmed input. Here's a quick API description: to the maximum amount of steps you returned in `init_trim`). Omitting any of three trimming methods will cause the trimming to be disabled -and trigger a fallback to the builtin default trimming routine. +and trigger a fallback to the built-in default trimming routine. ### Environment Variables diff --git a/instrumentation/README.lto.md b/instrumentation/README.lto.md index 24e57b23..b97e5799 100644 --- a/instrumentation/README.lto.md +++ b/instrumentation/README.lto.md @@ -328,7 +328,7 @@ and `CXXFLAGS=-flto=full`). If this succeeds, then there is an issue with afl-clang-lto. Please report at [https://github.com/AFLplusplus/AFLplusplus/issues/226](https://github.com/AFLplusplus/AFLplusplus/issues/226). -Even some targets where clang-12 fails can be build if the fail is just in +Even some targets where clang-12 fails can be built if the fail is just in `./configure`, see `Solving difficult targets` above. ## History diff --git a/utils/autodict_ql/readme.md b/utils/autodict_ql/readme.md index 9170f552..a28f1725 100644 --- a/utils/autodict_ql/readme.md +++ b/utils/autodict_ql/readme.md @@ -43,7 +43,7 @@ Do the following : # chmod +x codeql-build.sh # ./codeql-build.sh # source ~/.bashrc -# codeql +# codeql ``` Then you should get: @@ -84,12 +84,12 @@ Commands: - `python3 autodict-ql.py [CURRECT_DIR] [CODEQL_DATABASE_PATH] [TOKEN_PATH]` - example : `python3 /home/user/AFLplusplus/utils/autodict_ql/autodict-ql.py $PWD /home/user/libxml/libxml-db tokens` - This will create the final `tokens` dir for you and you are done, then pass the tokens path to AFL++'s `-x` flag. -5. Done! +5. Done! ## More on dictionaries and tokens Core developer of the AFL++ project Marc Heuse also developed a similar tool named `dict2file` which is a LLVM pass which can automatically extract useful tokens, in addition with LTO instrumentation mode, this dict2file is automatically generates token extraction. `Autodict-QL` plugin gives you scripting capability and you can do whatever you want to extract from the Codebase and it's up to you. In addition it's independent from LLVM system. -On the other hand, you can also use Google dictionaries which have been made public in May 2020, but the problem of using Google dictionaries is that they are limited to specific file formats and specifications. For example, for testing binutils and ELF file format or AVI in FFMPEG, there are no prebuilt dictionaries, so it is highly recommended to use `Autodict-QL` or `Dict2File` features to automatically generate dictionaries based on the target. +On the other hand, you can also use Google dictionaries which have been made public in May 2020, but the problem of using Google dictionaries is that they are limited to specific file formats and specifications. For example, for testing binutils and ELF file format or AVI in FFMPEG, there are no pre-built dictionaries, so it is highly recommended to use `Autodict-QL` or `Dict2File` features to automatically generate dictionaries based on the target. I've personally prefered to use `Autodict-QL` or `dict2file` rather than Google dictionaries or any other manually generated dictionaries as `Autodict-QL` and `dict2file` are working based on the target. In overall, fuzzing with dictionaries and well-generated tokens will give better results. diff --git a/utils/qbdi_mode/README.md b/utils/qbdi_mode/README.md index 2e8b01d4..cd59fb9c 100755 --- a/utils/qbdi_mode/README.md +++ b/utils/qbdi_mode/README.md @@ -34,9 +34,9 @@ For x86 standalone-toolchain ./build/tools/make_standalone_toolchain.py --arch x86 --api 21 --install-dir ../android-standalone-toolchain-x86 ``` -In alternative you can also use the prebuilt toolchain, in that case make sure +In alternative you can also use the pre-built toolchain, in that case make sure to set the proper CC and CXX environment variables because there are many -different compilers for each API version in the prebuilt toolchain. +different compilers for each API version in the pre-built toolchain. For example: @@ -129,7 +129,7 @@ int target_func(char *buf, int size) { } ``` -This could be build to `libdemo.so`. +This could be built to `libdemo.so`. Then we should load the library in template.cpp and find the `target` function address. ```c -- cgit 1.4.1 From c85e0dc4f0e0a6deedfb7318292e1939503a10c2 Mon Sep 17 00:00:00 2001 From: llzmb <46303940+llzmb@users.noreply.github.com> Date: Thu, 2 Dec 2021 20:37:21 +0100 Subject: Remove the word "we" --- TODO.md | 2 +- docs/afl-fuzz_approach.md | 27 +++++++++++++-------------- docs/custom_mutators.md | 4 ++-- docs/fuzzing_binary-only_targets.md | 8 ++++---- docs/fuzzing_in_depth.md | 2 +- frida_mode/DEBUGGING.md | 2 +- instrumentation/README.instrument_list.md | 2 +- unicorn_mode/samples/c/COMPILE.md | 2 +- unicorn_mode/samples/persistent/COMPILE.md | 4 ++-- unicorn_mode/samples/speedtest/README.md | 2 +- utils/aflpp_driver/README.md | 2 +- utils/autodict_ql/readme.md | 2 +- utils/qbdi_mode/README.md | 5 +++-- 13 files changed, 32 insertions(+), 32 deletions(-) (limited to 'docs') diff --git a/TODO.md b/TODO.md index 77fb080f..b8ac22ef 100644 --- a/TODO.md +++ b/TODO.md @@ -20,7 +20,7 @@ qemu_mode/frida_mode: - non colliding instrumentation - rename qemu specific envs to AFL_QEMU (AFL_ENTRYPOINT, AFL_CODE_START/END, AFL_COMPCOV_LEVEL?) - - add AFL_QEMU_EXITPOINT (maybe multiple?), maybe pointless as we have + - add AFL_QEMU_EXITPOINT (maybe multiple?), maybe pointless as there is persistent mode diff --git a/docs/afl-fuzz_approach.md b/docs/afl-fuzz_approach.md index 3e4faaec..242104f7 100644 --- a/docs/afl-fuzz_approach.md +++ b/docs/afl-fuzz_approach.md @@ -103,8 +103,8 @@ will be allowed to run for months. There's one important thing to watch out for: if the tool is not finding new paths within several minutes of starting, you're probably not invoking the -target binary correctly and it never gets to parse the input files we're -throwing at it; other possible explanations are that the default memory limit +target binary correctly and it never gets to parse the input files that are +thrown at it; other possible explanations are that the default memory limit (`-m`) is too restrictive and the program exits after failing to allocate a buffer very early on; or that the input files are patently invalid and always fail a basic header check. @@ -172,10 +172,9 @@ processed path is not "favored" (a property discussed later on). The section provides some trivia about the coverage observed by the instrumentation embedded in the target binary. -The first line in the box tells you how many branch tuples we have already hit, -in proportion to how much the bitmap can hold. The number on the left describes -the current input; the one on the right is the value for the entire input -corpus. +The first line in the box tells you how many branch tuples already were hit, in +proportion to how much the bitmap can hold. The number on the left describes the +current input; the one on the right is the value for the entire input corpus. Be wary of extremes: @@ -194,7 +193,7 @@ Be wary of extremes: The other line deals with the variability in tuple hit counts seen in the binary. In essence, if every taken branch is always taken a fixed number of -times for all the inputs we have tried, this will read `1.00`. As we manage to +times for all the inputs that were tried, this will read `1.00`. As we manage to trigger other hit counts for every branch, the needle will start to move toward `8.00` (every bit in the 8-bit map hit), but will probably never reach that extreme. @@ -295,9 +294,9 @@ exceed it by a margin sufficient to be classified as hangs. +-----------------------------------------------------+ ``` -This is just another nerd-targeted section keeping track of how many paths we -have netted, in proportion to the number of execs attempted, for each of the -fuzzing strategies discussed earlier on. This serves to convincingly validate +This is just another nerd-targeted section keeping track of how many paths were +netted, in proportion to the number of execs attempted, for each of the fuzzing +strategies discussed earlier on. This serves to convincingly validate assumptions about the usefulness of the various approaches taken by afl-fuzz. The trim strategy stats in this section are a bit different than the rest. The @@ -339,10 +338,10 @@ fuzzing yet. The same stat is also given for "favored" entries that the fuzzer really wants to get to in this queue cycle (the non-favored entries may have to wait a couple of cycles to get their chance). -Next, we have the number of new paths found during this fuzzing section and -imported from other fuzzer instances when doing parallelized fuzzing; and the -extent to which identical inputs appear to sometimes produce variable behavior -in the tested binary. +Next is the number of new paths found during this fuzzing section and imported +from other fuzzer instances when doing parallelized fuzzing; and the extent to +which identical inputs appear to sometimes produce variable behavior in the +tested binary. That last bit is actually fairly interesting: it measures the consistency of observed traces. If a program always behaves the same for the same input data, diff --git a/docs/custom_mutators.md b/docs/custom_mutators.md index 7d362950..4018d633 100644 --- a/docs/custom_mutators.md +++ b/docs/custom_mutators.md @@ -204,8 +204,8 @@ trimmed input. Here's a quick API description: - `trim` (optional) This method is called for each trimming operation. It doesn't have any - arguments because we already have the initial buffer from `init_trim` and we - can memorize the current state in the data variables. This can also save + arguments because there is already the initial buffer from `init_trim` and + we can memorize the current state in the data variables. This can also save reparsing steps for each iteration. It should return the trimmed input buffer. diff --git a/docs/fuzzing_binary-only_targets.md b/docs/fuzzing_binary-only_targets.md index 2d57d0dc..c3204212 100644 --- a/docs/fuzzing_binary-only_targets.md +++ b/docs/fuzzing_binary-only_targets.md @@ -201,10 +201,10 @@ target at load time and then let it run - or save the binary with the changes. This is great for some things, e.g. fuzzing, and not so effective for others, e.g. malware analysis. -So, what we can do with Dyninst is taking every basic block and put AFL++'s -instrumentation code in there - and then save the binary. Afterwards, we can -just fuzz the newly saved target binary with afl-fuzz. Sounds great? It is. The -issue though - it is a non-trivial problem to insert instructions, which change +So, what you can do with Dyninst is taking every basic block and putting AFL++'s +instrumentation code in there - and then save the binary. Afterwards, just fuzz +the newly saved target binary with afl-fuzz. Sounds great? It is. The issue +though - it is a non-trivial problem to insert instructions, which change addresses in the process space, so that everything is still working afterwards. Hence, more often than not binaries crash when they are run. diff --git a/docs/fuzzing_in_depth.md b/docs/fuzzing_in_depth.md index 4d2884f6..92b3cf86 100644 --- a/docs/fuzzing_in_depth.md +++ b/docs/fuzzing_in_depth.md @@ -391,7 +391,7 @@ to be used in fuzzing! :-) ## 3. Fuzzing the target -In this final step we fuzz the target. There are not that many important options +In this final step, fuzz the target. There are not that many important options to run the target - unless you want to use many CPU cores/threads for the fuzzing, which will make the fuzzing much more useful. diff --git a/frida_mode/DEBUGGING.md b/frida_mode/DEBUGGING.md index b703ae43..207a48bf 100644 --- a/frida_mode/DEBUGGING.md +++ b/frida_mode/DEBUGGING.md @@ -95,7 +95,7 @@ gdb \ ``` Note: -- We have to manually set the `__AFL_PERSISTENT` environment variable which is +- You have to manually set the `__AFL_PERSISTENT` environment variable which is usually passed by `afl-fuzz`. - Setting breakpoints etc. is likely to interfere with FRIDA and cause spurious errors. diff --git a/instrumentation/README.instrument_list.md b/instrumentation/README.instrument_list.md index b412b600..3ed64807 100644 --- a/instrumentation/README.instrument_list.md +++ b/instrumentation/README.instrument_list.md @@ -128,4 +128,4 @@ Note that whitespace is ignored and comments (`# foo`) are supported. ### 3b) UNIX-style pattern matching You can add UNIX-style pattern matching in the "instrument file list" entries. -See `man fnmatch` for the syntax. We do not set any of the `fnmatch` flags. \ No newline at end of file +See `man fnmatch` for the syntax. Do not set any of the `fnmatch` flags. \ No newline at end of file diff --git a/unicorn_mode/samples/c/COMPILE.md b/unicorn_mode/samples/c/COMPILE.md index 7da140f7..4e3cf568 100644 --- a/unicorn_mode/samples/c/COMPILE.md +++ b/unicorn_mode/samples/c/COMPILE.md @@ -19,4 +19,4 @@ was built in case you want to rebuild it or recompile it for any reason. The pre-built binary (persistent_target_x86_64) was built using -g -O0 in gcc. -We then load the binary and execute the main function directly. +Then load the binary and execute the main function directly. diff --git a/unicorn_mode/samples/persistent/COMPILE.md b/unicorn_mode/samples/persistent/COMPILE.md index 9f2ae718..5e607aef 100644 --- a/unicorn_mode/samples/persistent/COMPILE.md +++ b/unicorn_mode/samples/persistent/COMPILE.md @@ -3,7 +3,7 @@ This shows a simple persistent harness for unicornafl in C. In contrast to the normal c harness, this harness manually resets the unicorn state on each new input. -Thanks to this, we can rerun the test case in unicorn multiple times, without +Thanks to this, you can rerun the test case in unicorn multiple times, without the need to fork again. ## Compiling sample.c @@ -25,4 +25,4 @@ was built in case you want to rebuild it or recompile it for any reason. The pre-built binary (persistent_target_x86_64.bin) was built using -g -O0 in gcc. -We then load the binary and we execute the main function directly. \ No newline at end of file +Then load the binary and execute the main function directly. \ No newline at end of file diff --git a/unicorn_mode/samples/speedtest/README.md b/unicorn_mode/samples/speedtest/README.md index 3c1184a2..496d75cd 100644 --- a/unicorn_mode/samples/speedtest/README.md +++ b/unicorn_mode/samples/speedtest/README.md @@ -44,7 +44,7 @@ was built in case you want to rebuild it or recompile it for any reason. The pre-built binary (simple_target_x86_64.bin) was built using -g -O0 in gcc. -We then load the binary and execute the main function directly. +Then load the binary and execute the main function directly. ## Addresses for the harness: To find the address (in hex) of main, run: diff --git a/utils/aflpp_driver/README.md b/utils/aflpp_driver/README.md index 4560be2b..d534cd7f 100644 --- a/utils/aflpp_driver/README.md +++ b/utils/aflpp_driver/README.md @@ -25,7 +25,7 @@ or `@@` as command line parameters. Note that you can use the driver too for frida_mode (`-O`). aflpp_qemu_driver is used for libfuzzer `LLVMFuzzerTestOneInput()` targets that -are to be fuzzed in qemu_mode. So we compile them with clang/clang++, without +are to be fuzzed in qemu_mode. So compile them with clang/clang++, without -fsantize=fuzzer or afl-clang-fast, and link in libAFLQemuDriver.a: `clang++ -o fuzz fuzzer_harness.cc libAFLQemuDriver.a [plus required linking]`. diff --git a/utils/autodict_ql/readme.md b/utils/autodict_ql/readme.md index a28f1725..491ec85b 100644 --- a/utils/autodict_ql/readme.md +++ b/utils/autodict_ql/readme.md @@ -37,7 +37,7 @@ sudo apt install build-essential libtool-bin python3-dev python3 automake git vi ``` The usage of Autodict-QL is pretty easy. But let's describe it as: -1. First of all, you need to have CodeQL installed on the system. we make this possible with `build-codeql.sh` bash script. This script will install CodeQL completety and will set the required environment variables for your system. +1. First of all, you need to have CodeQL installed on the system. We make this possible with `build-codeql.sh` bash script. This script will install CodeQL completety and will set the required environment variables for your system. Do the following : ```shell # chmod +x codeql-build.sh diff --git a/utils/qbdi_mode/README.md b/utils/qbdi_mode/README.md index cd59fb9c..c8d46fca 100755 --- a/utils/qbdi_mode/README.md +++ b/utils/qbdi_mode/README.md @@ -131,7 +131,8 @@ int target_func(char *buf, int size) { This could be built to `libdemo.so`. -Then we should load the library in template.cpp and find the `target` function address. +Then load the library in template.cpp and find the `target` function address: + ```c void *handle = dlopen(lib_path, RTLD_LAZY); .......................................... @@ -140,7 +141,7 @@ Then we should load the library in template.cpp and find the `target` function a p_target_func = (target_func)dlsym(handle, "target_func"); ``` -then we read the data from file and call the function in `fuzz_func` +Then read the data from file and call the function in `fuzz_func`: ```c QBDI_NOINLINE int fuzz_func() { -- cgit 1.4.1 From a7694e299a331bd8c4826b2402ee68cd6f83d8f9 Mon Sep 17 00:00:00 2001 From: llzmb <46303940+llzmb@users.noreply.github.com> Date: Thu, 2 Dec 2021 20:45:48 +0100 Subject: Fix punctuation in connection with "however" --- docs/FAQ.md | 10 +++++++--- docs/best_practices.md | 27 ++++++++++++++++++--------- docs/custom_mutators.md | 10 +++++----- docs/fuzzing_in_depth.md | 10 +++++----- docs/important_changes.md | 4 ++-- instrumentation/README.llvm.md | 11 ++++++----- qemu_mode/README.persistent.md | 8 ++++---- qemu_mode/libcompcov/README.md | 8 ++++---- utils/afl_network_proxy/README.md | 13 +++++++------ utils/afl_untracer/README.md | 6 +++--- 10 files changed, 61 insertions(+), 46 deletions(-) (limited to 'docs') diff --git a/docs/FAQ.md b/docs/FAQ.md index ae4a77dc..49444999 100644 --- a/docs/FAQ.md +++ b/docs/FAQ.md @@ -12,7 +12,9 @@ If you find an interesting or important question missing, submit it via American Fuzzy Lop (AFL) was developed by Michał "lcamtuf" Zalewski starting in 2013/2014, and when he left Google end of 2017 he stopped developing it. - At the end of 2019, the Google fuzzing team took over maintenance of AFL, however it is only accepting PRs from the community and is not developing enhancements anymore. + At the end of 2019, the Google fuzzing team took over maintenance of AFL, + however, it is only accepting PRs from the community and is not developing + enhancements anymore. In the second quarter of 2019, 1 1/2 years later, when no further development of AFL had happened and it became clear there would none be coming, AFL++ was born, where initially community patches were collected and applied for bug fixes and enhancements. Then from various AFL spin-offs - mostly academic research - features were integrated. @@ -121,8 +123,10 @@ If you find an interesting or important question missing, submit it via Sending the same input again and again should take the exact same path through the target every time. If that is the case, the stability is 100%. - If however randomness happens, e.g. a thread reading other external data, reaction to timing, etc., then in some of the re-executions with the same data the edge coverage result will be different accross runs. - Those edges that change are then flagged "unstable". + If, however, randomness happens, e.g. a thread reading other external data, + reaction to timing, etc., then in some of the re-executions with the same data + the edge coverage result will be different accross runs. Those edges that + change are then flagged "unstable". The more "unstable" edges, the more difficult for AFL++ to identify valid new paths. diff --git a/docs/best_practices.md b/docs/best_practices.md index 979849f4..15f8870c 100644 --- a/docs/best_practices.md +++ b/docs/best_practices.md @@ -54,9 +54,11 @@ to emulate the network. This is also much faster than the real network would be. See [utils/socket_fuzzing/](../utils/socket_fuzzing/). There is an outdated AFL++ branch that implements networking if you are -desperate though: [https://github.com/AFLplusplus/AFLplusplus/tree/networking](https://github.com/AFLplusplus/AFLplusplus/tree/networking) - -however a better option is AFLnet ([https://github.com/aflnet/aflnet](https://github.com/aflnet/aflnet)) -which allows you to define network state with different type of data packets. +desperate though: +[https://github.com/AFLplusplus/AFLplusplus/tree/networking](https://github.com/AFLplusplus/AFLplusplus/tree/networking) +- however, a better option is AFLnet +([https://github.com/aflnet/aflnet](https://github.com/aflnet/aflnet)) which +allows you to define network state with different type of data packets. ## Improvements @@ -72,13 +74,16 @@ which allows you to define network state with different type of data packets. ### Improving stability -For fuzzing a 100% stable target that covers all edges is the best case. -A 90% stable target that covers all edges is however better than a 100% stable target that ignores 10% of the edges. +For fuzzing a 100% stable target that covers all edges is the best case. A 90% +stable target that covers all edges is, however, better than a 100% stable +target that ignores 10% of the edges. With instability, you basically have a partial coverage loss on an edge, with ignored functions you have a full loss on that edges. -There are functions that are unstable, but also provide value to coverage, e.g., init functions that use fuzz data as input. -If however a function that has nothing to do with the input data is the source of instability, e.g., checking jitter, or is a hash map function etc., then it should not be instrumented. +There are functions that are unstable, but also provide value to coverage, e.g., +init functions that use fuzz data as input. If, however, a function that has +nothing to do with the input data is the source of instability, e.g., checking +jitter, or is a hash map function etc., then it should not be instrumented. To be able to exclude these functions (based on AFL++'s measured stability), the following process will allow to identify functions with variable edges. @@ -116,8 +121,12 @@ Four steps are required to do this and it also requires quite some knowledge of If `PCGUARD` is used, then you need to follow this guide (needs llvm 12+!): [https://clang.llvm.org/docs/SanitizerCoverage.html#partially-disabling-instrumentation](https://clang.llvm.org/docs/SanitizerCoverage.html#partially-disabling-instrumentation) - Only exclude those functions from instrumentation that provide no value for coverage - that is if it does not process any fuzz data directly or indirectly (e.g. hash maps, thread management etc.). - If however a function directly or indirectly handles fuzz data, then you should not put the function in a deny instrumentation list and rather live with the instability it comes with. + Only exclude those functions from instrumentation that provide no value for + coverage - that is if it does not process any fuzz data directly or + indirectly (e.g. hash maps, thread management etc.). If, however, a + function directly or indirectly handles fuzz data, then you should not put + the function in a deny instrumentation list and rather live with the + instability it comes with. 4. Recompile the target diff --git a/docs/custom_mutators.md b/docs/custom_mutators.md index 4018d633..fc5ecbf9 100644 --- a/docs/custom_mutators.md +++ b/docs/custom_mutators.md @@ -112,11 +112,11 @@ def deinit(): # optional for Python - `fuzz_count` (optional): - When a queue entry is selected to be fuzzed, afl-fuzz selects the number - of fuzzing attempts with this input based on a few factors. - If however the custom mutator wants to set this number instead on how often - it is called for a specific queue entry, use this function. - This function is most useful if `AFL_CUSTOM_MUTATOR_ONLY` is **not** used. + When a queue entry is selected to be fuzzed, afl-fuzz selects the number of + fuzzing attempts with this input based on a few factors. If, however, the + custom mutator wants to set this number instead on how often it is called + for a specific queue entry, use this function. This function is most useful + if `AFL_CUSTOM_MUTATOR_ONLY` is **not** used. - `fuzz` (optional): diff --git a/docs/fuzzing_in_depth.md b/docs/fuzzing_in_depth.md index 92b3cf86..96e709ab 100644 --- a/docs/fuzzing_in_depth.md +++ b/docs/fuzzing_in_depth.md @@ -131,8 +131,8 @@ The following options are available when you instrument with LTO mode have to compile the target twice, once specifically with/for this mode by setting `AFL_LLVM_CMPLOG=1`, and pass this binary to afl-fuzz via the `-c` parameter. Note that you can compile also just a cmplog binary and use that - for both however there will be a performance penality. You can read more about - this in + for both, however, there will be a performance penality. You can read more + about this in [instrumentation/README.cmplog.md](../instrumentation/README.cmplog.md). If you use LTO, LLVM or GCC_PLUGIN mode @@ -151,7 +151,7 @@ only instrument parts of the target that you are interested in: inlined and then would not match! See [instrumentation/README.instrument_list.md](../instrumentation/README.instrument_list.md) -There are many more options and modes available however these are most of the +There are many more options and modes available, however, these are most of the time less effective. See: * [instrumentation/README.ctx.md](../instrumentation/README.ctx.md) * [instrumentation/README.ngram.md](../instrumentation/README.ngram.md) @@ -369,8 +369,8 @@ This step is highly recommended! ### c) Minimizing all corpus files The shorter the input files that still traverse the same path within the target, -the better the fuzzing will be. This minimization is done with `afl-tmin` -however it is a long process as this has to be done for every file: +the better the fuzzing will be. This minimization is done with `afl-tmin`, +however, it is a long process as this has to be done for every file: ``` mkdir input diff --git a/docs/important_changes.md b/docs/important_changes.md index 726de64d..6cd00791 100644 --- a/docs/important_changes.md +++ b/docs/important_changes.md @@ -15,8 +15,8 @@ With AFL++ 3.15 we introduced the following changes from previous behaviors: With AFL++ 3.14 we introduced the following changes from previous behaviors: * afl-fuzz: deterministic fuzzing it not a default for -M main anymore - * afl-cmin/afl-showmap -i now descends into subdirectories (afl-cmin.bash - however does not) + * afl-cmin/afl-showmap -i now descends into subdirectories (afl-cmin.bash, + however, does not) With AFL++ 3.10 we introduced the following changes from previous behaviors: * The '+' feature of the '-t' option now means to auto-calculate the timeout diff --git a/instrumentation/README.llvm.md b/instrumentation/README.llvm.md index 8133cbe4..d16049fa 100644 --- a/instrumentation/README.llvm.md +++ b/instrumentation/README.llvm.md @@ -106,9 +106,10 @@ either setting `AFL_CC_COMPILER=LLVM` or pass the parameter `--afl-llvm` via CFLAGS/CXXFLAGS/CPPFLAGS. The tool honors roughly the same environmental variables as afl-gcc (see -[docs/env_variables.md](../docs/env_variables.md)). This includes AFL_USE_ASAN, -AFL_HARDEN, and AFL_DONT_OPTIMIZE. However AFL_INST_RATIO is not honored as it -does not serve a good purpose with the more effective PCGUARD analysis. +[docs/env_variables.md](../docs/env_variables.md)). This includes +`AFL_USE_ASAN`, `AFL_HARDEN`, and `AFL_DONT_OPTIMIZE`. However, `AFL_INST_RATIO` +is not honored as it does not serve a good purpose with the more effective +PCGUARD analysis. ## 3) Options @@ -125,8 +126,8 @@ For splitting memcmp, strncmp, etc., see Then there are different ways of instrumenting the target: 1. An better instrumentation strategy uses LTO and link time instrumentation. - Note that not all targets can compile in this mode, however if it works it is - the best option you can use. To go with this option, use + Note that not all targets can compile in this mode, however, if it works it + is the best option you can use. To go with this option, use afl-clang-lto/afl-clang-lto++. See [README.lto.md](README.lto.md). 2. Alternatively you can choose a completely different coverage method: diff --git a/qemu_mode/README.persistent.md b/qemu_mode/README.persistent.md index 7210a8cc..ab45860d 100644 --- a/qemu_mode/README.persistent.md +++ b/qemu_mode/README.persistent.md @@ -17,10 +17,10 @@ The start of the persistent loop has to be set with environment variable `AFL_QEMU_PERSISTENT_ADDR`. This address can be the address of whatever instruction. Setting this address to -the start of a function makes the usage simple. If the address is however within -a function, either RET, OFFSET, or EXITS (see below in 2.2, 2.3, 2.6) have to be -set. This address (as well as the RET address, see below) has to be defined in -hexadecimal with the 0x prefix or as a decimal value. +the start of a function makes the usage simple. If the address is, however, +within a function, either RET, OFFSET, or EXITS (see below in 2.2, 2.3, 2.6) +have to be set. This address (as well as the RET address, see below) has to be +defined in hexadecimal with the 0x prefix or as a decimal value. If both RET and EXITS are not set, QEMU will assume that START points to a function and will patch the return address (on stack or in the link register) to diff --git a/qemu_mode/libcompcov/README.md b/qemu_mode/libcompcov/README.md index 6a72f5ff..50f0d802 100644 --- a/qemu_mode/libcompcov/README.md +++ b/qemu_mode/libcompcov/README.md @@ -18,7 +18,7 @@ and this module is not capable to log the coverage in this case. If you have the source code of the fuzzing target you should nto use this library and QEMU but build it with afl-clang-fast and the laf-intel options. -To use this library make sure to preload it with AFL_PRELOAD. +To use this library, make sure to preload it with AFL_PRELOAD. ``` export AFL_PRELOAD=/path/to/libcompcov.so @@ -32,6 +32,6 @@ Level 1 logs just comparison with immediates / read-only memory and level 2 logs all the comparisons. The library make use of https://github.com/ouadev/proc_maps_parser and so it is -Linux specific. However this is not a strict dependency, other UNIX operating -systems can be supported by replacing the code related to the -/proc/self/maps parsing. \ No newline at end of file +Linux specific. However, this is not a strict dependency, other UNIX operating +systems can be supported by replacing the code related to the /proc/self/maps +parsing. \ No newline at end of file diff --git a/utils/afl_network_proxy/README.md b/utils/afl_network_proxy/README.md index 05659c45..d2c00be2 100644 --- a/utils/afl_network_proxy/README.md +++ b/utils/afl_network_proxy/README.md @@ -34,16 +34,17 @@ afl-network-server -i 1111 -m 25M -t 1000 -- /bin/target -f @@ ### on the (afl-fuzz) main node -Just run afl-fuzz with your normal options, however the target should be +Just run afl-fuzz with your normal options, however, the target should be `afl-network-client` with the IP and PORT of the `afl-network-server` and increase the -t value: + ``` afl-fuzz -i in -o out -t 2000+ -- afl-network-client TARGET-IP 1111 ``` -Note the '+' on the -t parameter value. The afl-network-server will take -care of proper timeouts hence afl-fuzz should not. The '+' increases the -timeout and the value itself should be 500-1000 higher than the one on -afl-network-server. + +Note the '+' on the -t parameter value. The afl-network-server will take care of +proper timeouts hence afl-fuzz should not. The '+' increases the timeout and the +value itself should be 500-1000 higher than the one on afl-network-server. ### networking @@ -53,7 +54,7 @@ either. Note that also the outgoing interface can be specified with a '%' for Also make sure your default TCP window size is larger than your MAP_SIZE (130kb is a good value). -On Linux that is the middle value of `/proc/sys/net/ipv4/tcp_rmem` +On Linux that is the middle value of `/proc/sys/net/ipv4/tcp_rmem` ## how to compile and install diff --git a/utils/afl_untracer/README.md b/utils/afl_untracer/README.md index ada0c916..9f41618f 100644 --- a/utils/afl_untracer/README.md +++ b/utils/afl_untracer/README.md @@ -5,9 +5,9 @@ afl-untracer is an example skeleton file which can easily be used to fuzz a closed source library. -It requires less memory and is x3-5 faster than qemu_mode however it is way -more course grained and does not provide interesting features like compcov -or cmplog. +It requires less memory and is x3-5 faster than qemu_mode, however, it is way +more course grained and does not provide interesting features like compcov or +cmplog. Supported is so far Intel (i386/x86_64) and AARCH64. -- cgit 1.4.1 From 65c3db86256b3907404623fe1c52e01c9d12ff97 Mon Sep 17 00:00:00 2001 From: llzmb <46303940+llzmb@users.noreply.github.com> Date: Thu, 2 Dec 2021 21:03:59 +0100 Subject: Fix punctuation in connection with "e.g." --- .github/ISSUE_TEMPLATE/bug_report.md | 5 +++-- CONTRIBUTING.md | 2 +- docs/FAQ.md | 4 ++-- docs/INSTALL.md | 3 ++- docs/afl-fuzz_approach.md | 2 +- docs/best_practices.md | 4 ++-- docs/custom_mutators.md | 7 ++++--- docs/env_variables.md | 22 +++++++++++----------- docs/fuzzing_binary-only_targets.md | 6 +++--- docs/fuzzing_in_depth.md | 32 ++++++++++++++++---------------- docs/ideas.md | 2 +- docs/important_changes.md | 2 +- instrumentation/README.llvm.md | 2 +- instrumentation/README.lto.md | 2 +- utils/README.md | 2 +- utils/afl_network_proxy/README.md | 6 ++++-- 16 files changed, 54 insertions(+), 49 deletions(-) (limited to 'docs') diff --git a/.github/ISSUE_TEMPLATE/bug_report.md b/.github/ISSUE_TEMPLATE/bug_report.md index 31152cd2..0d80f4a3 100644 --- a/.github/ISSUE_TEMPLATE/bug_report.md +++ b/.github/ISSUE_TEMPLATE/bug_report.md @@ -8,8 +8,9 @@ assignees: '' --- **IMPORTANT** -1. You have verified that the issue to be present in the current `dev` branch -2. Please supply the command line options and relevant environment variables, e.g. a copy-paste of the contents of `out/default/fuzzer_setup` +1. You have verified that the issue to be present in the current `dev` branch. +2. Please supply the command line options and relevant environment variables, + e.g., a copy-paste of the contents of `out/default/fuzzer_setup`. Thank you for making AFL++ better! diff --git a/CONTRIBUTING.md b/CONTRIBUTING.md index 0268b2e5..0ab4f8ec 100644 --- a/CONTRIBUTING.md +++ b/CONTRIBUTING.md @@ -17,7 +17,7 @@ project, or added a file in a directory we already format, otherwise run: Regarding the coding style, please follow the AFL style. No camel case at all and use AFL's macros wherever possible -(e.g. WARNF, FATAL, MAP_SIZE, ...). +(e.g., WARNF, FATAL, MAP_SIZE, ...). Remember that AFL++ has to build and run on many platforms, so generalize your Makefiles/GNUmakefile (or your patches to our pre-existing diff --git a/docs/FAQ.md b/docs/FAQ.md index 49444999..27250415 100644 --- a/docs/FAQ.md +++ b/docs/FAQ.md @@ -21,7 +21,7 @@ If you find an interesting or important question missing, submit it via This already resulted in a much advanced AFL. Until the end of 2019, the AFL++ team had grown to four active developers which then implemented their own research and features, making it now by far the most flexible and feature rich guided fuzzer available as open source. - And in independent fuzzing benchmarks it is one of the best fuzzers available, e.g. [Fuzzbench Report](https://www.fuzzbench.com/reports/2020-08-03/index.html). + And in independent fuzzing benchmarks it is one of the best fuzzers available, e.g., [Fuzzbench Report](https://www.fuzzbench.com/reports/2020-08-03/index.html).

@@ -123,7 +123,7 @@ If you find an interesting or important question missing, submit it via Sending the same input again and again should take the exact same path through the target every time. If that is the case, the stability is 100%. - If, however, randomness happens, e.g. a thread reading other external data, + If, however, randomness happens, e.g., a thread reading other external data, reaction to timing, etc., then in some of the re-executions with the same data the edge coverage result will be different accross runs. Those edges that change are then flagged "unstable". diff --git a/docs/INSTALL.md b/docs/INSTALL.md index ab6e735b..c1e22e36 100644 --- a/docs/INSTALL.md +++ b/docs/INSTALL.md @@ -69,7 +69,8 @@ These build options exist: * NO_PYTHON - disable python support * NO_SPLICING - disables splicing mutation in afl-fuzz, not recommended for normal fuzzing * AFL_NO_X86 - if compiling on non-intel/amd platforms -* LLVM_CONFIG - if your distro doesn't use the standard name for llvm-config (e.g. Debian) +* LLVM_CONFIG - if your distro doesn't use the standard name for llvm-config + (e.g., Debian) e.g.: `make ASAN_BUILD=1` diff --git a/docs/afl-fuzz_approach.md b/docs/afl-fuzz_approach.md index 242104f7..68f45891 100644 --- a/docs/afl-fuzz_approach.md +++ b/docs/afl-fuzz_approach.md @@ -504,7 +504,7 @@ directory. This includes: - `peak_rss_mb` - max rss usage reached during fuzzing in MB - `edges_found` - how many edges have been found - `var_byte_count` - how many edges are non-deterministic -- `afl_banner` - banner text (e.g. the target name) +- `afl_banner` - banner text (e.g., the target name) - `afl_version` - the version of AFL++ used - `target_mode` - default, persistent, qemu, unicorn, non-instrumented - `command_line` - full command line used for the fuzzing session diff --git a/docs/best_practices.md b/docs/best_practices.md index 15f8870c..6a406bde 100644 --- a/docs/best_practices.md +++ b/docs/best_practices.md @@ -48,7 +48,7 @@ this with persistent mode [instrumentation/README.persistent_mode.md](../instrum and you have a performance gain of x10 instead of a performance loss of over x10 - that is a x100 difference!). -If modifying the source is not an option (e.g. because you only have a binary +If modifying the source is not an option (e.g., because you only have a binary and perform binary fuzzing) you can also use a shared library with AFL_PRELOAD to emulate the network. This is also much faster than the real network would be. See [utils/socket_fuzzing/](../utils/socket_fuzzing/). @@ -123,7 +123,7 @@ Four steps are required to do this and it also requires quite some knowledge of Only exclude those functions from instrumentation that provide no value for coverage - that is if it does not process any fuzz data directly or - indirectly (e.g. hash maps, thread management etc.). If, however, a + indirectly (e.g., hash maps, thread management etc.). If, however, a function directly or indirectly handles fuzz data, then you should not put the function in a deny instrumentation list and rather live with the instability it comes with. diff --git a/docs/custom_mutators.md b/docs/custom_mutators.md index fc5ecbf9..6bee5413 100644 --- a/docs/custom_mutators.md +++ b/docs/custom_mutators.md @@ -124,7 +124,7 @@ def deinit(): # optional for Python additional test case. Note that this function is optional - but it makes sense to use it. You would only skip this if `post_process` is used to fix checksums etc. - so if you are using it e.g. as a post processing library. + so if you are using it, e.g., as a post processing library. Note that a length > 0 *must* be returned! - `describe` (optional): @@ -191,8 +191,9 @@ trimmed input. Here's a quick API description: This method is called at the start of each trimming operation and receives the initial buffer. It should return the amount of iteration steps possible - on this input (e.g. if your input has n elements and you want to remove them - one by one, return n, if you do a binary search, return log(n), and so on). + on this input (e.g., if your input has n elements and you want to remove + them one by one, return n, if you do a binary search, return log(n), and so + on). If your trimming algorithm doesn't allow to determine the amount of (remaining) steps easily (esp. while running), then you can alternatively diff --git a/docs/env_variables.md b/docs/env_variables.md index 715a60cb..771bf157 100644 --- a/docs/env_variables.md +++ b/docs/env_variables.md @@ -80,9 +80,9 @@ fairly broad use of environment variables instead: Setting `AFL_INST_RATIO` to 0 is a valid choice. This will instrument only the transitions between function entry points, but not individual branches. - Note that this is an outdated variable. A few instances (e.g. afl-gcc) still - support these, but state-of-the-art (e.g. LLVM LTO and LLVM PCGUARD) do not - need this. + Note that this is an outdated variable. A few instances (e.g., afl-gcc) + still support these, but state-of-the-art (e.g., LLVM LTO and LLVM PCGUARD) + do not need this. - `AFL_NO_BUILTIN` causes the compiler to generate code suitable for use with libtokencap.so (but perhaps running a bit slower than without the flag). @@ -319,7 +319,7 @@ checks or alter some of the more exotic semantics of the tool: afl-fuzz), setting `AFL_PYTHON_MODULE` to a Python module can also provide additional mutations. If `AFL_CUSTOM_MUTATOR_ONLY` is also set, all mutations will solely be performed with the custom mutator. This feature - allows to configure custom mutators which can be very helpful, e.g. fuzzing + allows to configure custom mutators which can be very helpful, e.g., fuzzing XML or other highly flexible structured input. For details, see [custom_mutators.md](custom_mutators.md). @@ -449,7 +449,7 @@ checks or alter some of the more exotic semantics of the tool: not crash the target again when the test case is given. To be able to still re-trigger these crashes, you can use the `AFL_PERSISTENT_RECORD` variable with a value of how many previous fuzz cases to keep prio a crash. If set to - e.g. 10, then the 9 previous inputs are written to out/default/crashes as + e.g., 10, then the 9 previous inputs are written to out/default/crashes as RECORD:000000,cnt:000000 to RECORD:000000,cnt:000008 and RECORD:000000,cnt:000009 being the crash case. NOTE: This option needs to be enabled in config.h first! @@ -493,7 +493,7 @@ checks or alter some of the more exotic semantics of the tool: This is especially useful when running multiple instances (`-M/-S` for example). Applied tags are `banner` and `afl_version`. `banner` corresponds to the name of the fuzzer provided through `-M/-S`. `afl_version` - corresponds to the currently running AFL++ version (e.g. `++3.0c`). Default + corresponds to the currently running AFL++ version (e.g., `++3.0c`). Default (empty/non present) will add no tags to the metrics. For more information, see [rpc_statsd.md](rpc_statsd.md). @@ -535,11 +535,11 @@ The QEMU wrapper used to instrument binary-only code supports several settings: - `AFL_DEBUG` will print the found entry point for the binary to stderr. Use this if you are unsure if the entry point might be wrong - but use it - directly, e.g. `afl-qemu-trace ./program`. + directly, e.g., `afl-qemu-trace ./program`. - `AFL_ENTRYPOINT` allows you to specify a specific entry point into the binary (this can be very good for the performance!). The entry point is - specified as hex address, e.g. `0x4004110`. Note that the address must be + specified as hex address, e.g., `0x4004110`. Note that the address must be the address of a basic block. - Setting `AFL_INST_LIBS` causes the translator to also instrument the code @@ -595,7 +595,7 @@ QEMU driver to provide a `main` loop for a user provided `stdin` rather than using in-memory test cases. * `AFL_FRIDA_EXCLUDE_RANGES` - See `AFL_QEMU_EXCLUDE_RANGES` * `AFL_FRIDA_INST_COVERAGE_FILE` - File to write DynamoRio format coverage -information (e.g. to be loaded within IDA lighthouse). +information (e.g., to be loaded within IDA lighthouse). * `AFL_FRIDA_INST_DEBUG_FILE` - File to write raw assembly of original blocks and their instrumented counterparts during block compilation. * `AFL_FRIDA_INST_JIT` - Enable the instrumentation of Just-In-Time compiled @@ -617,13 +617,13 @@ child on fork. * `AFL_FRIDA_INST_RANGES` - See `AFL_QEMU_INST_RANGES` * `AFL_FRIDA_INST_SEED` - Sets the initial seed for the hash function used to generate block (and hence edge) IDs. Setting this to a constant value may be -useful for debugging purposes, e.g. investigating unstable edges. +useful for debugging purposes, e.g., investigating unstable edges. * `AFL_FRIDA_INST_TRACE` - Log to stdout the address of executed blocks, implies `AFL_FRIDA_INST_NO_OPTIMIZE`. * `AFL_FRIDA_INST_TRACE_UNIQUE` - As per `AFL_FRIDA_INST_TRACE`, but each edge is logged only once, requires `AFL_FRIDA_INST_NO_OPTIMIZE`. * `AFL_FRIDA_INST_UNSTABLE_COVERAGE_FILE` - File to write DynamoRio format -coverage information for unstable edges (e.g. to be loaded within IDA +coverage information for unstable edges (e.g., to be loaded within IDA lighthouse). * `AFL_FRIDA_JS_SCRIPT` - Set the script to be loaded by the FRIDA scripting engine. See [here](Scripting.md) for details. diff --git a/docs/fuzzing_binary-only_targets.md b/docs/fuzzing_binary-only_targets.md index c3204212..a786fd8b 100644 --- a/docs/fuzzing_binary-only_targets.md +++ b/docs/fuzzing_binary-only_targets.md @@ -113,7 +113,7 @@ If you want to fuzz a binary-only library, then you can fuzz it with frida-gum via frida_mode/. You will have to write a harness to call the target function in the library, use afl-frida.c as a template. -You can also perform remote fuzzing with frida, e.g. if you want to fuzz on +You can also perform remote fuzzing with frida, e.g., if you want to fuzz on iPhone or Android devices, for this you can use [https://github.com/ttdennis/fpicker/](https://github.com/ttdennis/fpicker/) as an intermediate that uses AFL++ for fuzzing. @@ -198,8 +198,8 @@ It is at about 80-85% performance. Dyninst is a binary instrumentation framework similar to Pintool and DynamoRIO. However, whereas Pintool and DynamoRIO work at runtime, Dyninst instruments the target at load time and then let it run - or save the binary with the changes. -This is great for some things, e.g. fuzzing, and not so effective for others, -e.g. malware analysis. +This is great for some things, e.g., fuzzing, and not so effective for others, +e.g., malware analysis. So, what you can do with Dyninst is taking every basic block and putting AFL++'s instrumentation code in there - and then save the binary. Afterwards, just fuzz diff --git a/docs/fuzzing_in_depth.md b/docs/fuzzing_in_depth.md index 96e709ab..4e1e001e 100644 --- a/docs/fuzzing_in_depth.md +++ b/docs/fuzzing_in_depth.md @@ -167,7 +167,7 @@ allows you to find bugs that would not necessarily result in a crash. Note that sanitizers have a huge impact on CPU (= less executions per second) and RAM usage. Also you should only run one afl-fuzz instance per sanitizer -type. This is enough because a use-after-free bug will be picked up, e.g. by +type. This is enough because a use-after-free bug will be picked up, e.g., by ASAN (address sanitizer) anyway when syncing to other fuzzing instances, so not all fuzzing instances need to be instrumented with ASAN. @@ -179,7 +179,7 @@ The following sanitizers have built-in support in AFL++: local variable that is defined and read before it is even set. Enabled with `export AFL_USE_MSAN=1` before compiling. * UBSAN = Undefined Behavior SANitizer, finds instances where - by the C and C++ - standards - undefined behavior happens, e.g. adding two signed integers + standards - undefined behavior happens, e.g., adding two signed integers together where the result is larger than a signed integer can hold. Enabled with `export AFL_USE_UBSAN=1` before compiling. * CFISAN = Control Flow Integrity SANitizer, finds instances where the control @@ -202,15 +202,15 @@ be looked up in the sanitizer documentation of llvm/clang. afl-fuzz, however, requires some specific parameters important for fuzzing to be set. If you want to set your own, it might bail and report what it is missing. -Note that some sanitizers cannot be used together, e.g. ASAN and MSAN, and -others often cannot work together because of target weirdness, e.g. ASAN and +Note that some sanitizers cannot be used together, e.g., ASAN and MSAN, and +others often cannot work together because of target weirdness, e.g., ASAN and CFISAN. You might need to experiment which sanitizers you can combine in a target (which means more instances can be run without a sanitized target, which is more effective). ### d) Modifying the target -If the target has features that make fuzzing more difficult, e.g. checksums, +If the target has features that make fuzzing more difficult, e.g., checksums, HMAC, etc. then modify the source code so that checks for these values are removed. This can even be done safely for source code used in operational products by eliminating these checks within these AFL++ specific blocks: @@ -250,7 +250,7 @@ Then build the target. (Usually with `make`) reporting via `export AFL_QUIET=1`. 2. sometimes configure and build systems error on warnings - these should be - disabled (e.g. `--disable-werror` for some configure scripts). + disabled (e.g., `--disable-werror` for some configure scripts). 3. in case the configure/build system complains about AFL++'s compiler and aborts then set `export AFL_NOOPT=1` which will then just behave like the @@ -354,7 +354,7 @@ You can find many good examples of starting files in the Use the AFL++ tool `afl-cmin` to remove inputs from the corpus that do not produce a new path in the target. -Put all files from step a) into one directory, e.g. INPUTS. +Put all files from step a) into one directory, e.g., INPUTS. If the target program is to be called by fuzzing as `bin/target -d INPUTFILE` the run afl-cmin like this: @@ -380,8 +380,8 @@ for i in *; do done ``` -This step can also be parallelized, e.g. with `parallel`. Note that this step is -rather optional though. +This step can also be parallelized, e.g., with `parallel`. Note that this step +is rather optional though. ### Done! @@ -503,7 +503,7 @@ can set the cache size (in MB) by setting the environment variable `AFL_TESTCACHE_SIZE`. There should be one main fuzzer (`-M main-$HOSTNAME` option) and as many -secondary fuzzers (e.g. `-S variant1`) as you have cores that you use. Every +secondary fuzzers (e.g., `-S variant1`) as you have cores that you use. Every -M/-S entry needs a unique name (that can be whatever), however, the same -o output directory location has to be used for all instances. @@ -522,7 +522,7 @@ All other secondaries should be used like this: * a quarter to a third with the MOpt mutator enabled: `-L 0` * run with a different power schedule, recommended are: `fast (default), explore, coe, lin, quad, exploit and rare` which you can set - with e.g. `-p explore` + with, e.g., `-p explore` * a few instances should use the old queue cycling with `-Z` Also, it is recommended to set `export AFL_IMPORT_FIRST=1` to load test cases @@ -547,7 +547,7 @@ A long list can be found at However, you can also sync AFL++ with honggfuzz, libfuzzer with `-entropic=1`, etc. Just show the main fuzzer (-M) with the `-F` option where the queue/work -directory of a different fuzzer is, e.g. `-F /src/target/honggfuzz`. Using +directory of a different fuzzer is, e.g., `-F /src/target/honggfuzz`. Using honggfuzz (with `-n 1` or `-n 2`) and libfuzzer in parallel is highly recommended! @@ -615,8 +615,8 @@ To restart an afl-fuzz run, just reuse the same command line but replace the `-i directory` with `-i -` or set `AFL_AUTORESUME=1`. If you want to add new seeds to a fuzzing campaign you can run a temporary -fuzzing instance, e.g. when your main fuzzer is using `-o out` and the new seeds -are in `newseeds/` directory: +fuzzing instance, e.g., when your main fuzzer is using `-o out` and the new +seeds are in `newseeds/` directory: ``` AFL_BENCH_JUST_ONE=1 AFL_FAST_CAL=1 afl-fuzz -i newseeds -o out -S newseeds -- ./target @@ -665,9 +665,9 @@ then you will not touch any of the other library APIs and features. ### h) How long to fuzz a target? This is a difficult question. Basically if no new path is found for a long time -(e.g. for a day or a week) then you can expect that your fuzzing won't be +(e.g., for a day or a week) then you can expect that your fuzzing won't be fruitful anymore. However, often this just means that you should switch out -secondaries for others, e.g. custom mutator modules, sync to very different +secondaries for others, e.g., custom mutator modules, sync to very different fuzzers, etc. Keep the queue/ directory (for future fuzzings of the same or similar targets) diff --git a/docs/ideas.md b/docs/ideas.md index 325e7031..8193983b 100644 --- a/docs/ideas.md +++ b/docs/ideas.md @@ -32,7 +32,7 @@ Mentor: any ## Support other programming languages Other programming languages also use llvm hence they could (easily?) supported -for fuzzing, e.g. mono, swift, go, kotlin native, fortran, ... +for fuzzing, e.g., mono, swift, go, kotlin native, fortran, ... GCC also supports: Objective-C, Fortran, Ada, Go, and D (according to [Gcc homepage](https://gcc.gnu.org/)) diff --git a/docs/important_changes.md b/docs/important_changes.md index 6cd00791..82de054f 100644 --- a/docs/important_changes.md +++ b/docs/important_changes.md @@ -44,7 +44,7 @@ behaviors and defaults: * `-i` input directory option now descends into subdirectories. It also does not fatal on crashes and too large files, instead it skips them and uses them for splicing mutations - * -m none is now default, set memory limits (in MB) with e.g. -m 250 + * -m none is now default, set memory limits (in MB) with, e.g., -m 250 * deterministic fuzzing is now disabled by default (unless using -M) and can be enabled with -D * a caching of test cases can now be performed and can be modified by diff --git a/instrumentation/README.llvm.md b/instrumentation/README.llvm.md index d16049fa..ac8f2f2a 100644 --- a/instrumentation/README.llvm.md +++ b/instrumentation/README.llvm.md @@ -40,7 +40,7 @@ The idea and much of the initial implementation came from Laszlo Szekeres. ## 2a) How to use this - short -Set the `LLVM_CONFIG` variable to the clang version you want to use, e.g. +Set the `LLVM_CONFIG` variable to the clang version you want to use, e.g.: ``` LLVM_CONFIG=llvm-config-9 make diff --git a/instrumentation/README.lto.md b/instrumentation/README.lto.md index b97e5799..a20175b1 100644 --- a/instrumentation/README.lto.md +++ b/instrumentation/README.lto.md @@ -71,7 +71,7 @@ use an outdated Linux distribution, read the next section. Installing the llvm snapshot builds is easy and mostly painless: In the following line, change `NAME` for your Debian or Ubuntu release name -(e.g. buster, focal, eon, etc.): +(e.g., buster, focal, eon, etc.): ``` echo deb http://apt.llvm.org/NAME/ llvm-toolchain-NAME NAME >> /etc/apt/sources.list diff --git a/utils/README.md b/utils/README.md index b8df0b47..b7eead8e 100644 --- a/utils/README.md +++ b/utils/README.md @@ -13,7 +13,7 @@ Here's a quick overview of the stuff you can find in this directory: - afl_proxy - skeleton file example to show how to fuzz something where you gather coverage data via - different means, e.g. hw debugger + different means, e.g., hw debugger - afl_untracer - fuzz binary-only libraries much faster but with less coverage than qemu_mode diff --git a/utils/afl_network_proxy/README.md b/utils/afl_network_proxy/README.md index d2c00be2..c478319a 100644 --- a/utils/afl_network_proxy/README.md +++ b/utils/afl_network_proxy/README.md @@ -6,7 +6,8 @@ Note that the impact on fuzzing speed will be huge, expect a loss of 90%. ## When to use this 1. when you have to fuzz a target that has to run on a system that cannot - contain the fuzzing output (e.g. /tmp too small and file system is read-only) + contain the fuzzing output (e.g., /tmp too small and file system is + read-only) 2. when the target instantly reboots on crashes 3. ... any other reason you would need this @@ -28,6 +29,7 @@ For most targets this hurts performance though so it is disabled by default. Run `afl-network-server` with your target with the -m and -t values you need. Important is the -i parameter which is the TCP port to listen on. e.g.: + ``` afl-network-server -i 1111 -m 25M -t 1000 -- /bin/target -f @@ ``` @@ -50,7 +52,7 @@ value itself should be 500-1000 higher than the one on afl-network-server. The TARGET can be an IPv4 or IPv6 address, or a host name that resolves to either. Note that also the outgoing interface can be specified with a '%' for -`afl-network-client`, e.g. `fe80::1234%eth0`. +`afl-network-client`, e.g., `fe80::1234%eth0`. Also make sure your default TCP window size is larger than your MAP_SIZE (130kb is a good value). -- cgit 1.4.1 From 377adb776ee2adb3cb17a174279e384ae9dd590c Mon Sep 17 00:00:00 2001 From: llzmb <46303940+llzmb@users.noreply.github.com> Date: Thu, 2 Dec 2021 21:16:16 +0100 Subject: Change "eg" to "e.g." and fix punctuation --- custom_mutators/gramatron/README.md | 8 +++++--- docs/fuzzing_in_depth.md | 2 +- 2 files changed, 6 insertions(+), 4 deletions(-) (limited to 'docs') diff --git a/custom_mutators/gramatron/README.md b/custom_mutators/gramatron/README.md index c8a76e3e..0167f620 100644 --- a/custom_mutators/gramatron/README.md +++ b/custom_mutators/gramatron/README.md @@ -28,18 +28,20 @@ afl-fuzz -i in -o out -- ./target - Specify in a JSON format for CFG. Examples are correspond `source.json` files - Run the automaton generation script (in `src/gramfuzz-mutator/preprocess`) which will place the generated automaton in the same folder. + ``` ./preprocess/prep_automaton.sh [stack_limit] -Eg. ./preprocess/prep_automaton.sh ~/grammars/ruby/source.json PROGRAM +E.g., ./preprocess/prep_automaton.sh ~/grammars/ruby/source.json PROGRAM ``` - If the grammar has no self-embedding rules then you do not need to pass the stack limit parameter. However, if it does have self-embedding rules then you need to pass the stack limit parameter. We recommend starting with `5` and then increasing it if you need more complexity - To sanity-check that the automaton is generating inputs as expected you can use the `test` binary housed in `src/gramfuzz-mutator` + ``` ./test SanityCheck -Eg. ./test SanityCheck ~/grammars/ruby/source_automata.json -``` +E.g., ./test SanityCheck ~/grammars/ruby/source_automata.json +``` \ No newline at end of file diff --git a/docs/fuzzing_in_depth.md b/docs/fuzzing_in_depth.md index 4e1e001e..7c464d81 100644 --- a/docs/fuzzing_in_depth.md +++ b/docs/fuzzing_in_depth.md @@ -175,7 +175,7 @@ The following sanitizers have built-in support in AFL++: * ASAN = Address SANitizer, finds memory corruption vulnerabilities like use-after-free, NULL pointer dereference, buffer overruns, etc. Enabled with `export AFL_USE_ASAN=1` before compiling. -* MSAN = Memory SANitizer, finds read access to uninitialized memory, eg. a +* MSAN = Memory SANitizer, finds read access to uninitialized memory, e.g., a local variable that is defined and read before it is even set. Enabled with `export AFL_USE_MSAN=1` before compiling. * UBSAN = Undefined Behavior SANitizer, finds instances where - by the C and C++ -- cgit 1.4.1 From aa6586a761c47da1f202221c9a449b692cacbcae Mon Sep 17 00:00:00 2001 From: llzmb <46303940+llzmb@users.noreply.github.com> Date: Thu, 2 Dec 2021 21:23:22 +0100 Subject: Fix typos - 1st run --- custom_mutators/gramatron/README.md | 6 +++--- docs/FAQ.md | 2 +- docs/fuzzing_in_depth.md | 2 +- instrumentation/README.llvm.md | 2 +- qemu_mode/libcompcov/README.md | 2 +- utils/optimin/README.md | 2 +- 6 files changed, 8 insertions(+), 8 deletions(-) (limited to 'docs') diff --git a/custom_mutators/gramatron/README.md b/custom_mutators/gramatron/README.md index 0167f620..2ed014cd 100644 --- a/custom_mutators/gramatron/README.md +++ b/custom_mutators/gramatron/README.md @@ -1,6 +1,6 @@ # GramaTron -Gramatron is a coverage-guided fuzzer that uses grammar automatons to perform +GramaTron is a coverage-guided fuzzer that uses grammar automatons to perform grammar-aware fuzzing. Technical details about our framework are available in the [ISSTA'21 paper](https://nebelwelt.net/files/21ISSTA.pdf). The artifact to reproduce the experiments presented in the paper are present @@ -9,11 +9,11 @@ grammars is presented below: # Compiling -Execute `./build_gramatron_mutator.sh` +Execute `./build_gramatron_mutator.sh`. # Running -You have to set the grammar file to use with `GRAMMATRON_AUTOMATION`: +You have to set the grammar file to use with `GRAMATRON_AUTOMATION`: ``` export AFL_DISABLE_TRIM=1 diff --git a/docs/FAQ.md b/docs/FAQ.md index 27250415..671957ef 100644 --- a/docs/FAQ.md +++ b/docs/FAQ.md @@ -125,7 +125,7 @@ If you find an interesting or important question missing, submit it via If, however, randomness happens, e.g., a thread reading other external data, reaction to timing, etc., then in some of the re-executions with the same data - the edge coverage result will be different accross runs. Those edges that + the edge coverage result will be different across runs. Those edges that change are then flagged "unstable". The more "unstable" edges, the more difficult for AFL++ to identify valid new paths. diff --git a/docs/fuzzing_in_depth.md b/docs/fuzzing_in_depth.md index 7c464d81..011ba783 100644 --- a/docs/fuzzing_in_depth.md +++ b/docs/fuzzing_in_depth.md @@ -131,7 +131,7 @@ The following options are available when you instrument with LTO mode have to compile the target twice, once specifically with/for this mode by setting `AFL_LLVM_CMPLOG=1`, and pass this binary to afl-fuzz via the `-c` parameter. Note that you can compile also just a cmplog binary and use that - for both, however, there will be a performance penality. You can read more + for both, however, there will be a performance penalty. You can read more about this in [instrumentation/README.cmplog.md](../instrumentation/README.cmplog.md). diff --git a/instrumentation/README.llvm.md b/instrumentation/README.llvm.md index ac8f2f2a..c93cd312 100644 --- a/instrumentation/README.llvm.md +++ b/instrumentation/README.llvm.md @@ -125,7 +125,7 @@ For splitting memcmp, strncmp, etc., see Then there are different ways of instrumenting the target: -1. An better instrumentation strategy uses LTO and link time instrumentation. +1. A better instrumentation strategy uses LTO and link time instrumentation. Note that not all targets can compile in this mode, however, if it works it is the best option you can use. To go with this option, use afl-clang-lto/afl-clang-lto++. See [README.lto.md](README.lto.md). diff --git a/qemu_mode/libcompcov/README.md b/qemu_mode/libcompcov/README.md index 50f0d802..bb010d8f 100644 --- a/qemu_mode/libcompcov/README.md +++ b/qemu_mode/libcompcov/README.md @@ -31,7 +31,7 @@ The AFL_COMPCOV_LEVEL tells to QEMU and libcompcov how to log comaprisons. Level 1 logs just comparison with immediates / read-only memory and level 2 logs all the comparisons. -The library make use of https://github.com/ouadev/proc_maps_parser and so it is +The library makes use of https://github.com/ouadev/proc_maps_parser and so it is Linux specific. However, this is not a strict dependency, other UNIX operating systems can be supported by replacing the code related to the /proc/self/maps parsing. \ No newline at end of file diff --git a/utils/optimin/README.md b/utils/optimin/README.md index 507cb305..340022b8 100644 --- a/utils/optimin/README.md +++ b/utils/optimin/README.md @@ -77,7 +77,7 @@ For more details, see the paper [Seed Selection for Successful Fuzzing](https://dl.acm.org/doi/10.1145/3460319.3464795). If you use OptiMin in your research, please cite this paper. -Bibtex: +BibTeX: ```bibtex @inproceedings{Herrera:2021:FuzzSeedSelection, -- cgit 1.4.1 From fc094dee13060fd84e89764a9526c11a55072e4d Mon Sep 17 00:00:00 2001 From: vanhauser-thc Date: Fri, 3 Dec 2021 11:35:30 +0100 Subject: change dlopen solution --- docs/Changelog.md | 7 ++++++- docs/best_practices.md | 21 +++++++++++++++++++++ instrumentation/SanitizerCoverageLTO.so.cc | 12 ++++++++++++ instrumentation/SanitizerCoveragePCGUARD.so.cc | 12 ++++++++++++ instrumentation/afl-compiler-rt.o.c | 15 ++++++++------- test/test-dlopen.c | 20 ++++++++++++++++++-- 6 files changed, 77 insertions(+), 10 deletions(-) (limited to 'docs') diff --git a/docs/Changelog.md b/docs/Changelog.md index 103f9f63..be5cac43 100644 --- a/docs/Changelog.md +++ b/docs/Changelog.md @@ -9,9 +9,14 @@ Want to stay in the loop on major new features? Join our mailing list by sending a mail to . ### Version ++3.15a (dev) - - documentation restructuring, made possible by Google Season of Docs :) + - documentation restructuring, made possible by Google Season of Docs - new binary-only fuzzing mode: coresight_mode for aarch64 CPUs :) thanks to RICSecLab submitting! + - if instrumented libaries are dlopen()'ed after the forkserver you + will now see crashes. before you would have colliding coverage. + we changed this to force fixing a broken setup rather then allowing + ineffective fuzzing. + See docs/best_practices.md how to fix such setups. - afl-fuzz: - cmplog binaries will need to be recompiled for this version (it is better!) diff --git a/docs/best_practices.md b/docs/best_practices.md index 979849f4..18096851 100644 --- a/docs/best_practices.md +++ b/docs/best_practices.md @@ -5,6 +5,7 @@ ### Targets * [Fuzzing a target with source code available](#fuzzing-a-target-with-source-code-available) +* [Fuzzing a target with dlopen() instrumented libraries](#fuzzing-a-target-with-dlopen-instrumented-libraries) * [Fuzzing a binary-only target](#fuzzing-a-binary-only-target) * [Fuzzing a GUI program](#fuzzing-a-gui-program) * [Fuzzing a network service](#fuzzing-a-network-service) @@ -20,6 +21,26 @@ To learn how to fuzz a target if source code is available, see [fuzzing_in_depth.md](fuzzing_in_depth.md). +### Fuzzing a target with dlopen instrumented libraries + +If a source code based fuzzing target loads instrumented libraries with +dlopen() after the forkserver has been activated and non-colliding coverage +instrumentation is used (PCGUARD (which is the default), or LTO), then this +an issue, because this would enlarge the coverage map, but afl-fuzz doesn't +know about it. + +The solution is to use `AFL_PRELOAD` for all dlopen()'ed libraries to +ensure that all coverage targets are present on startup in the target, +even if accessed only later with dlopen(). + +For PCGUARD instrumentation `abort()` is called if this is detected, for LTO +there will either be no coverage for the instrumented dlopen()'ed libraries or +you will see lots of crashes in the UI. + +Note that this is not an issue if you use the inferiour `afl-gcc-fast`, +`afl-gcc` or`AFL_LLVM_INSTRUMENT=CLASSIC/NGRAM/CTX afl-clang-fast` +instrumentation. + ### Fuzzing a binary-only target For a comprehensive guide, see diff --git a/instrumentation/SanitizerCoverageLTO.so.cc b/instrumentation/SanitizerCoverageLTO.so.cc index bff85a0a..8d7f0c80 100644 --- a/instrumentation/SanitizerCoverageLTO.so.cc +++ b/instrumentation/SanitizerCoverageLTO.so.cc @@ -1289,6 +1289,18 @@ void ModuleSanitizerCoverage::instrumentFunction( if (!Callee) continue; if (callInst->getCallingConv() != llvm::CallingConv::C) continue; StringRef FuncName = Callee->getName(); + if (!FuncName.compare(StringRef("dlopen")) || + !FuncName.compare(StringRef("_dlopen"))) { + + fprintf(stderr, + "WARNING: dlopen() detected. To have coverage for a library " + "that your target dlopen()'s this must either happen before " + "__AFL_INIT() or you must use AFL_PRELOAD to preload all " + "dlopen()'ed libraries!\n"); + continue; + + } + if (FuncName.compare(StringRef("__afl_coverage_interesting"))) continue; Value *val = ConstantInt::get(Int32Ty, ++afl_global_id); diff --git a/instrumentation/SanitizerCoveragePCGUARD.so.cc b/instrumentation/SanitizerCoveragePCGUARD.so.cc index 3574b0e4..92450781 100644 --- a/instrumentation/SanitizerCoveragePCGUARD.so.cc +++ b/instrumentation/SanitizerCoveragePCGUARD.so.cc @@ -851,6 +851,18 @@ bool ModuleSanitizerCoverage::InjectCoverage(Function & F, if (!Callee) continue; if (callInst->getCallingConv() != llvm::CallingConv::C) continue; StringRef FuncName = Callee->getName(); + if (!FuncName.compare(StringRef("dlopen")) || + !FuncName.compare(StringRef("_dlopen"))) { + + fprintf(stderr, + "WARNING: dlopen() detected. To have coverage for a library " + "that your target dlopen()'s this must either happen before " + "__AFL_INIT() or you must use AFL_PRELOAD to preload all " + "dlopen()'ed libraries!\n"); + continue; + + } + if (FuncName.compare(StringRef("__afl_coverage_interesting"))) continue; cnt_cov++; diff --git a/instrumentation/afl-compiler-rt.o.c b/instrumentation/afl-compiler-rt.o.c index 65dafb8c..20f325f3 100644 --- a/instrumentation/afl-compiler-rt.o.c +++ b/instrumentation/afl-compiler-rt.o.c @@ -1418,16 +1418,14 @@ void __sanitizer_cov_trace_pc_guard_init(uint32_t *start, uint32_t *stop) { if (start == stop || *start) return; // If a dlopen of an instrumented library happens after the forkserver then - // we have a problem. - // Should we abort()? This way a user would/could find out. - // Currently we just do not instrument that lib, which is invisible. + // we have a problem as we cannot increase the coverage map anymore. if (__afl_already_initialized_forkserver) { fprintf(stderr, - "[-] ERROR: forkserver is already up, but an instrumented dlopen() " - "library loaded afterwards. You must LD_PRELOAD such libraries to " - "be able to fuzz them.\n"); - return; // or should be abort()? + "[-] FATAL: forkserver is already up, but an instrumented dlopen() " + "library loaded afterwards. You must AFL_PRELOAD such libraries to " + "be able to fuzz them or LD_PRELOAD to run outside of afl-fuzz.\n"); + abort(); } @@ -1443,6 +1441,7 @@ void __sanitizer_cov_trace_pc_guard_init(uint32_t *start, uint32_t *stop) { /* instrumented code is loaded *after* our forkserver is up. this is a problem. We cannot prevent collisions then :( */ + /* if (__afl_already_initialized_forkserver && __afl_final_loc + 1 + stop - start > __afl_map_size) { @@ -1475,6 +1474,8 @@ void __sanitizer_cov_trace_pc_guard_init(uint32_t *start, uint32_t *stop) { } + */ + /* Make sure that the first element in the range is always set - we use that to avoid duplicate calls (which can happen as an artifact of the underlying implementation in LLVM). */ diff --git a/test/test-dlopen.c b/test/test-dlopen.c index d08d9092..b81bab13 100644 --- a/test/test-dlopen.c +++ b/test/test-dlopen.c @@ -5,7 +5,13 @@ int main(int argc, char **argv) { - if (!getenv("TEST_DLOPEN_TARGET")) return 1; + if (!getenv("TEST_DLOPEN_TARGET")) { + + fprintf(stderr, "Error: TEST_DLOPEN_TARGET not set!\n"); + return 1; + + } + void *lib = dlopen(getenv("TEST_DLOPEN_TARGET"), RTLD_LAZY); if (!lib) { @@ -15,8 +21,18 @@ int main(int argc, char **argv) { } int (*func)(int, char **) = dlsym(lib, "main_exported"); - if (!func) return 3; + if (!func) { + + fprintf(stderr, "Error: main_exported not found!\n"); + return 3; + + } + + // must use deferred forkserver as otherwise afl++ instrumentation aborts + // because all dlopen() of instrumented libs must be before the forkserver + __AFL_INIT(); + fprintf(stderr, "Running main_exported\n"); return func(argc, argv); } -- cgit 1.4.1 From 0594bcb0cbefcb5e99f101800d4bd0b89f6689f1 Mon Sep 17 00:00:00 2001 From: llzmb <46303940+llzmb@users.noreply.github.com> Date: Sat, 4 Dec 2021 19:31:32 +0100 Subject: Remove old references --- dictionaries/README.md | 4 +--- docs/afl-fuzz_approach.md | 3 +-- 2 files changed, 2 insertions(+), 5 deletions(-) (limited to 'docs') diff --git a/dictionaries/README.md b/dictionaries/README.md index 2c0056f6..f3b8a9e5 100644 --- a/dictionaries/README.md +++ b/dictionaries/README.md @@ -4,9 +4,7 @@ This subdirectory contains a set of dictionaries that can be used in conjunction with the -x option to allow the fuzzer to effortlessly explore the -grammar of some of the more verbose data formats or languages. The basic -principle behind the operation of fuzzer dictionaries is outlined in section 10 -of the "main" README.md for the project. +grammar of some of the more verbose data formats or languages. These sets were done by Michal Zalewski, various contributors, and imported from oss-fuzz, go-fuzz and libfuzzer. diff --git a/docs/afl-fuzz_approach.md b/docs/afl-fuzz_approach.md index 68f45891..702e020d 100644 --- a/docs/afl-fuzz_approach.md +++ b/docs/afl-fuzz_approach.md @@ -424,8 +424,7 @@ There are three subdirectories created within the output directory and updated in real-time: - queue/ - test cases for every distinctive execution path, plus all the - starting files given by the user. This is the synthesized corpus - mentioned in section 2. + starting files given by the user. This is the synthesized corpus. Before using this corpus for any other purposes, you can shrink it to a smaller size using the afl-cmin tool. The tool will find -- cgit 1.4.1 From 13eedcd5e8128419ae1b3e04d56a775eeea6f471 Mon Sep 17 00:00:00 2001 From: llzmb <46303940+llzmb@users.noreply.github.com> Date: Sat, 4 Dec 2021 19:42:47 +0100 Subject: Fix punctuation in connection with "etc." --- README.md | 2 +- docs/afl-fuzz_approach.md | 2 +- docs/fuzzing_in_depth.md | 2 +- 3 files changed, 3 insertions(+), 3 deletions(-) (limited to 'docs') diff --git a/README.md b/README.md index 93c0dd10..08363149 100644 --- a/README.md +++ b/README.md @@ -86,7 +86,7 @@ Step-by-step quick start: ``` 2. Get a small but valid input file that makes sense to the program. When - fuzzing verbose syntax (SQL, HTTP, etc), create a dictionary as described in + fuzzing verbose syntax (SQL, HTTP, etc.), create a dictionary as described in [dictionaries/README.md](dictionaries/README.md), too. 3. If the program reads from stdin, run `afl-fuzz` like so: diff --git a/docs/afl-fuzz_approach.md b/docs/afl-fuzz_approach.md index 702e020d..fefde029 100644 --- a/docs/afl-fuzz_approach.md +++ b/docs/afl-fuzz_approach.md @@ -523,7 +523,7 @@ into each of them or deploy scripts to read the fuzzer statistics. Using to your favorite StatsD server. Depending on your StatsD server, you will be able to monitor, trigger alerts, or perform actions based on these metrics (e.g: alert on slow exec/s for a new build, threshold of crashes, time since last -crash > X, etc). +crash > X, etc.). The selected metrics are a subset of all the metrics found in the status and in the plot file. The list is the following: `cycle_done`, `cycles_wo_finds`, diff --git a/docs/fuzzing_in_depth.md b/docs/fuzzing_in_depth.md index 011ba783..d408aa91 100644 --- a/docs/fuzzing_in_depth.md +++ b/docs/fuzzing_in_depth.md @@ -722,7 +722,7 @@ just for AFL++). Here are some of the most important caveats for AFL++: - AFL++ detects faults by checking for the first spawned process dying due to a - signal (SIGSEGV, SIGABRT, etc). Programs that install custom handlers for + signal (SIGSEGV, SIGABRT, etc.). Programs that install custom handlers for these signals may need to have the relevant code commented out. In the same vein, faults in child processes spawned by the fuzzed target may evade detection unless you manually add some code to catch that. -- cgit 1.4.1 From bcd81c377d22cf26812127881a8ac15ed9c022ad Mon Sep 17 00:00:00 2001 From: llzmb <46303940+llzmb@users.noreply.github.com> Date: Sat, 4 Dec 2021 20:38:00 +0100 Subject: Fix line length and formatting --- CONTRIBUTING.md | 11 ++-- README.md | 26 +++++--- TODO.md | 9 ++- docs/FAQ.md | 82 ++++++++++++++++--------- docs/INSTALL.md | 79 +++++++++++++++--------- docs/afl-fuzz_approach.md | 4 +- docs/best_practices.md | 114 +++++++++++++++++++++++------------ docs/custom_mutators.md | 80 ++++++++++++------------ docs/env_variables.md | 96 ++++++++++++++--------------- docs/fuzzing_binary-only_targets.md | 6 +- docs/fuzzing_in_depth.md | 50 ++++++++------- docs/ideas.md | 55 +++++++++-------- docs/important_changes.md | 29 ++++----- docs/rpc_statsd.md | 73 ++++++++++++++++------ frida_mode/Scripting.md | 20 +++--- instrumentation/README.gcc_plugin.md | 4 +- 16 files changed, 435 insertions(+), 303 deletions(-) (limited to 'docs') diff --git a/CONTRIBUTING.md b/CONTRIBUTING.md index 0ab4f8ec..fb13b91a 100644 --- a/CONTRIBUTING.md +++ b/CONTRIBUTING.md @@ -15,10 +15,9 @@ project, or added a file in a directory we already format, otherwise run: ./.custom-format.py -i file-that-you-have-created.c ``` -Regarding the coding style, please follow the AFL style. -No camel case at all and use AFL's macros wherever possible -(e.g., WARNF, FATAL, MAP_SIZE, ...). +Regarding the coding style, please follow the AFL style. No camel case at all +and use AFL's macros wherever possible (e.g., WARNF, FATAL, MAP_SIZE, ...). -Remember that AFL++ has to build and run on many platforms, so -generalize your Makefiles/GNUmakefile (or your patches to our pre-existing -Makefiles) to be as generic as possible. +Remember that AFL++ has to build and run on many platforms, so generalize your +Makefiles/GNUmakefile (or your patches to our pre-existing Makefiles) to be as +generic as possible. \ No newline at end of file diff --git a/README.md b/README.md index 08363149..b70eb1ab 100644 --- a/README.md +++ b/README.md @@ -44,8 +44,8 @@ Here is some information to get you started: ## Building and installing AFL++ -To have AFL++ easily available with everything compiled, pull the image -directly from the Docker Hub: +To have AFL++ easily available with everything compiled, pull the image directly +from the Docker Hub: ```shell docker pull aflplusplus/aflplusplus @@ -53,8 +53,8 @@ docker run -ti -v /location/of/your/target:/src aflplusplus/aflplusplus ``` This image is automatically generated when a push to the stable repo happens -(see [branches](#branches)). You will find your target source -code in `/src` in the container. +(see [branches](#branches)). You will find your target source code in `/src` in +the container. To build AFL++ yourself, continue at [docs/INSTALL.md](docs/INSTALL.md). @@ -120,8 +120,8 @@ Questions? Concerns? Bug reports? * The contributors can be reached via [https://github.com/AFLplusplus/AFLplusplus](https://github.com/AFLplusplus/AFLplusplus). -* Take a look at our [FAQ](docs/FAQ.md). If you find an interesting or - important question missing, submit it via +* Take a look at our [FAQ](docs/FAQ.md). If you find an interesting or important + question missing, submit it via [https://github.com/AFLplusplus/AFLplusplus/discussions](https://github.com/AFLplusplus/AFLplusplus/discussions). * There is a mailing list for the AFL/AFL++ project ([browse archive](https://groups.google.com/group/afl-users)). To compare @@ -133,10 +133,16 @@ Questions? Concerns? Bug reports? The following branches exist: -* [release](https://github.com/AFLplusplus/AFLplusplus/tree/release): the latest release -* [stable/trunk](https://github.com/AFLplusplus/AFLplusplus/): stable state of AFL++ - it is synced from dev from time to time when we are satisfied with its stability -* [dev](https://github.com/AFLplusplus/AFLplusplus/tree/dev): development state of AFL++ - bleeding edge and you might catch a checkout which does not compile or has a bug. *We only accept PRs in dev!!* -* (any other): experimental branches to work on specific features or testing new functionality or changes. +* [release](https://github.com/AFLplusplus/AFLplusplus/tree/release): the latest + release +* [stable/trunk](https://github.com/AFLplusplus/AFLplusplus/): stable state of + AFL++ - it is synced from dev from time to time when we are satisfied with its + stability +* [dev](https://github.com/AFLplusplus/AFLplusplus/tree/dev): development state + of AFL++ - bleeding edge and you might catch a checkout which does not compile + or has a bug. *We only accept PRs in dev!!* +* (any other): experimental branches to work on specific features or testing new + functionality or changes. ## Help wanted diff --git a/TODO.md b/TODO.md index b8ac22ef..04f3abab 100644 --- a/TODO.md +++ b/TODO.md @@ -23,11 +23,10 @@ qemu_mode/frida_mode: - add AFL_QEMU_EXITPOINT (maybe multiple?), maybe pointless as there is persistent mode - ## Ideas - LTO/sancov: write current edge to prev_loc and use that information when - using cmplog or __sanitizer_cov_trace_cmp*. maybe we can deduct by follow - up edge numbers that both following cmp paths have been found and then - disable working on this edge id -> cmplog_intelligence branch - - use cmplog colorization taint result for havoc locations? + using cmplog or __sanitizer_cov_trace_cmp*. maybe we can deduct by follow up + edge numbers that both following cmp paths have been found and then disable + working on this edge id -> cmplog_intelligence branch + - use cmplog colorization taint result for havoc locations? \ No newline at end of file diff --git a/docs/FAQ.md b/docs/FAQ.md index 671957ef..7869ee61 100644 --- a/docs/FAQ.md +++ b/docs/FAQ.md @@ -8,35 +8,45 @@ If you find an interesting or important question missing, submit it via
What is the difference between AFL and AFL++?

- AFL++ is a superior fork to Google's AFL - more speed, more and better mutations, more and better instrumentation, custom module support, etc. + AFL++ is a superior fork to Google's AFL - more speed, more and better + mutations, more and better instrumentation, custom module support, etc. - American Fuzzy Lop (AFL) was developed by Michał "lcamtuf" Zalewski starting in 2013/2014, and when he left Google end of 2017 he stopped developing it. + American Fuzzy Lop (AFL) was developed by Michał "lcamtuf" Zalewski starting + in 2013/2014, and when he left Google end of 2017 he stopped developing it. At the end of 2019, the Google fuzzing team took over maintenance of AFL, however, it is only accepting PRs from the community and is not developing enhancements anymore. - In the second quarter of 2019, 1 1/2 years later, when no further development of AFL had happened and it became clear there would none be coming, AFL++ was born, where initially community patches were collected and applied for bug fixes and enhancements. - Then from various AFL spin-offs - mostly academic research - features were integrated. - This already resulted in a much advanced AFL. - - Until the end of 2019, the AFL++ team had grown to four active developers which then implemented their own research and features, making it now by far the most flexible and feature rich guided fuzzer available as open source. - And in independent fuzzing benchmarks it is one of the best fuzzers available, e.g., [Fuzzbench Report](https://www.fuzzbench.com/reports/2020-08-03/index.html). + In the second quarter of 2019, 1 1/2 years later, when no further development + of AFL had happened and it became clear there would none be coming, AFL++ was + born, where initially community patches were collected and applied for bug + fixes and enhancements. Then from various AFL spin-offs - mostly academic + research - features were integrated. This already resulted in a much advanced + AFL. + + Until the end of 2019, the AFL++ team had grown to four active developers + which then implemented their own research and features, making it now by far + the most flexible and feature rich guided fuzzer available as open source. And + in independent fuzzing benchmarks it is one of the best fuzzers available, + e.g., [Fuzzbench + Report](https://www.fuzzbench.com/reports/2020-08-03/index.html).

Where can I find tutorials?

- We compiled a list of tutorials and exercises, see [tutorials.md](tutorials.md). + We compiled a list of tutorials and exercises, see + [tutorials.md](tutorials.md).

What is an "edge"?

A program contains `functions`, `functions` contain the compiled machine code. - The compiled machine code in a `function` can be in a single or many `basic blocks`. - A `basic block` is the largest possible number of subsequent machine code - instructions that has exactly one entry point (which can be be entered by + The compiled machine code in a `function` can be in a single or many `basic + blocks`. A `basic block` is the largest possible number of subsequent machine + code instructions that has exactly one entry point (which can be be entered by multiple other basic blocks) and runs linearly without branching or jumping to other addresses (except at the end). @@ -60,7 +70,8 @@ If you find an interesting or important question missing, submit it via Every code block between two jump locations is a `basic block`. - An `edge` is then the unique relationship between two directly connected `basic blocks` (from the code example above): + An `edge` is then the unique relationship between two directly connected + `basic blocks` (from the code example above): ``` Block A @@ -75,8 +86,8 @@ If you find an interesting or important question missing, submit it via Block E ``` - Every line between two blocks is an `edge`. - Note that a few basic block loop to itself, this too would be an edge. + Every line between two blocks is an `edge`. Note that a few basic block loop + to itself, this too would be an edge.

## Targets @@ -86,7 +97,8 @@ If you find an interesting or important question missing, submit it via AFL++ is a great fuzzer if you have the source code available. - However, if there is only the binary program and no source code available, then the standard non-instrumented mode is not effective. + However, if there is only the binary program and no source code available, + then the standard non-instrumented mode is not effective. To learn how these binaries can be fuzzed, read [fuzzing_binary-only_targets.md](fuzzing_binary-only_targets.md). @@ -97,15 +109,19 @@ If you find an interesting or important question missing, submit it via The short answer is - you cannot, at least not "out of the box". - For more information on fuzzing network services, see [best_practices.md#fuzzing-a-network-service](best_practices.md#fuzzing-a-network-service). + For more information on fuzzing network services, see + [best_practices.md#fuzzing-a-network-service](best_practices.md#fuzzing-a-network-service).

How can I fuzz a GUI program?

- Not all GUI programs are suitable for fuzzing. If the GUI program can read the fuzz data from a file without needing any user interaction, then it would be suitable for fuzzing. + Not all GUI programs are suitable for fuzzing. If the GUI program can read the + fuzz data from a file without needing any user interaction, then it would be + suitable for fuzzing. - For more information on fuzzing GUI programs, see [best_practices.md#fuzzing-a-gui-program](best_practices.md#fuzzing-a-gui-program). + For more information on fuzzing GUI programs, see + [best_practices.md#fuzzing-a-gui-program](best_practices.md#fuzzing-a-gui-program).

## Performance @@ -113,27 +129,33 @@ If you find an interesting or important question missing, submit it via
How can I improve the fuzzing speed?

- There are a few things you can do to improve the fuzzing speed, see [best_practices.md#improving-speed](best_practices.md#improving-speed). + There are a few things you can do to improve the fuzzing speed, see + [best_practices.md#improving-speed](best_practices.md#improving-speed).

Why is my stability below 100%?

- Stability is measured by how many percent of the edges in the target are "stable". - Sending the same input again and again should take the exact same path through the target every time. - If that is the case, the stability is 100%. + Stability is measured by how many percent of the edges in the target are + "stable". Sending the same input again and again should take the exact same + path through the target every time. If that is the case, the stability is + 100%. If, however, randomness happens, e.g., a thread reading other external data, reaction to timing, etc., then in some of the re-executions with the same data the edge coverage result will be different across runs. Those edges that change are then flagged "unstable". - The more "unstable" edges, the more difficult for AFL++ to identify valid new paths. + The more "unstable" edges, the more difficult for AFL++ to identify valid new + paths. - A value above 90% is usually fine and a value above 80% is also still ok, and even a value above 20% can still result in successful finds of bugs. - However, it is recommended that for values below 90% or 80% you should take countermeasures to improve stability. + A value above 90% is usually fine and a value above 80% is also still ok, and + even a value above 20% can still result in successful finds of bugs. However, + it is recommended that for values below 90% or 80% you should take + countermeasures to improve stability. - For more information on stability and how to improve the stability value, see [best_practices.md#improving-stability](best_practices.md#improving-stability). + For more information on stability and how to improve the stability value, see + [best_practices.md#improving-stability](best_practices.md#improving-stability).

## Troubleshooting @@ -141,7 +163,8 @@ If you find an interesting or important question missing, submit it via
I got a weird compile error from clang.

- If you see this kind of error when trying to instrument a target with afl-cc/afl-clang-fast/afl-clang-lto: + If you see this kind of error when trying to instrument a target with + afl-cc/afl-clang-fast/afl-clang-lto: ``` /prg/tmp/llvm-project/build/bin/clang-13: symbol lookup error: /usr/local/bin/../lib/afl//cmplog-instructions-pass.so: undefined symbol: _ZNK4llvm8TypeSizecvmEv @@ -155,7 +178,8 @@ If you find an interesting or important question missing, submit it via ******************** ``` - Then this means that your OS updated the clang installation from an upgrade package and because of that the AFL++ llvm plugins do not match anymore. + Then this means that your OS updated the clang installation from an upgrade + package and because of that the AFL++ llvm plugins do not match anymore. Solution: `git pull ; make clean install` of AFL++.

\ No newline at end of file diff --git a/docs/INSTALL.md b/docs/INSTALL.md index c1e22e36..08d3283e 100644 --- a/docs/INSTALL.md +++ b/docs/INSTALL.md @@ -3,7 +3,8 @@ ## Linux on x86 An easy way to install AFL++ with everything compiled is available via docker: -You can use the [Dockerfile](../Dockerfile) (which has gcc-10 and clang-11 - hence afl-clang-lto is available!) or just pull directly from the Docker Hub: +You can use the [Dockerfile](../Dockerfile) (which has gcc-10 and clang-11 - +hence afl-clang-lto is available!) or just pull directly from the Docker Hub: ```shell docker pull aflplusplus/aflplusplus @@ -13,8 +14,8 @@ docker run -ti -v /location/of/your/target:/src aflplusplus/aflplusplus This image is automatically generated when a push to the stable repo happens. You will find your target source code in /src in the container. -If you want to build AFL++ yourself, you have many options. -The easiest choice is to build and install everything: +If you want to build AFL++ yourself, you have many options. The easiest choice +is to build and install everything: ```shell sudo apt-get update @@ -29,10 +30,13 @@ make distrib sudo make install ``` -It is recommended to install the newest available gcc, clang and llvm-dev possible in your distribution! +It is recommended to install the newest available gcc, clang and llvm-dev +possible in your distribution! -Note that "make distrib" also builds instrumentation, qemu_mode, unicorn_mode and more. -If you just want plain AFL++, then do "make all". However, compiling and using at least instrumentation is highly recommended for much better results - hence in this case choose: +Note that "make distrib" also builds instrumentation, qemu_mode, unicorn_mode +and more. If you just want plain AFL++, then do "make all". However, compiling +and using at least instrumentation is highly recommended for much better results +- hence in this case choose: ```shell make source-only @@ -41,19 +45,25 @@ make source-only These build targets exist: * all: just the main AFL++ binaries -* binary-only: everything for binary-only fuzzing: qemu_mode, unicorn_mode, libdislocator, libtokencap -* source-only: everything for source code fuzzing: instrumentation, libdislocator, libtokencap +* binary-only: everything for binary-only fuzzing: qemu_mode, unicorn_mode, + libdislocator, libtokencap +* source-only: everything for source code fuzzing: instrumentation, + libdislocator, libtokencap * distrib: everything (for both binary-only and source code fuzzing) * man: creates simple man pages from the help option of the programs * install: installs everything you have compiled with the build options above * clean: cleans everything compiled, not downloads (unless not on a checkout) * deepclean: cleans everything including downloads * code-format: format the code, do this before you commit and send a PR please! -* tests: runs test cases to ensure that all features are still working as they should +* tests: runs test cases to ensure that all features are still working as they + should * unit: perform unit tests (based on cmocka) * help: shows these build options -[Unless you are on Mac OS X](https://developer.apple.com/library/archive/qa/qa1118/_index.html), you can also build statically linked versions of the AFL++ binaries by passing the `STATIC=1` argument to make: +[Unless you are on Mac OS +X](https://developer.apple.com/library/archive/qa/qa1118/_index.html), you can +also build statically linked versions of the AFL++ binaries by passing the +`STATIC=1` argument to make: ```shell make STATIC=1 @@ -67,7 +77,8 @@ These build options exist: * PROFILING - compile with profiling information (gprof) * INTROSPECTION - compile afl-fuzz with mutation introspection * NO_PYTHON - disable python support -* NO_SPLICING - disables splicing mutation in afl-fuzz, not recommended for normal fuzzing +* NO_SPLICING - disables splicing mutation in afl-fuzz, not recommended for + normal fuzzing * AFL_NO_X86 - if compiling on non-intel/amd platforms * LLVM_CONFIG - if your distro doesn't use the standard name for llvm-config (e.g., Debian) @@ -76,15 +87,17 @@ e.g.: `make ASAN_BUILD=1` ## MacOS X on x86 and arm64 (M1) -MacOS X should work, but there are some gotchas due to the idiosyncrasies of the platform. -On top of this, we have limited release testing capabilities and depend mostly on user feedback. +MacOS X should work, but there are some gotchas due to the idiosyncrasies of the +platform. On top of this, we have limited release testing capabilities and +depend mostly on user feedback. -To build AFL, install llvm (and perhaps gcc) from brew and follow the general instructions for Linux. -If possible, avoid Xcode at all cost. +To build AFL, install llvm (and perhaps gcc) from brew and follow the general +instructions for Linux. If possible, avoid Xcode at all cost. `brew install wget git make cmake llvm gdb` -Be sure to setup `PATH` to point to the correct clang binaries and use the freshly installed clang, clang++ and gmake, e.g.: +Be sure to setup `PATH` to point to the correct clang binaries and use the +freshly installed clang, clang++ and gmake, e.g.: ``` export PATH="/usr/local/Cellar/llvm/12.0.1/bin/:$PATH" @@ -97,20 +110,20 @@ cd .. gmake install ``` -`afl-gcc` will fail unless you have GCC installed, but that is using outdated instrumentation anyway. -You don't want that. -Note that `afl-clang-lto`, `afl-gcc-fast` and `qemu_mode` are not working on MacOS. +`afl-gcc` will fail unless you have GCC installed, but that is using outdated +instrumentation anyway. You don't want that. Note that `afl-clang-lto`, +`afl-gcc-fast` and `qemu_mode` are not working on MacOS. -The crash reporting daemon that comes by default with MacOS X will cause problems with fuzzing. -You need to turn it off: +The crash reporting daemon that comes by default with MacOS X will cause +problems with fuzzing. You need to turn it off: ``` launchctl unload -w /System/Library/LaunchAgents/com.apple.ReportCrash.plist sudo launchctl unload -w /System/Library/LaunchDaemons/com.apple.ReportCrash.Root.plist ``` -The `fork()` semantics on OS X are a bit unusual compared to other unix systems and definitely don't look POSIX-compliant. -This means two things: +The `fork()` semantics on OS X are a bit unusual compared to other unix systems +and definitely don't look POSIX-compliant. This means two things: - Fuzzing will be probably slower than on Linux. In fact, some folks report considerable performance gains by running the jobs inside a Linux VM on @@ -119,11 +132,13 @@ This means two things: forkserver. If you run into any problems, set `AFL_NO_FORKSRV=1` in the environment before starting afl-fuzz. -User emulation mode of QEMU does not appear to be supported on MacOS X, so black-box instrumentation mode (`-Q`) will not work. -However, Frida mode (`-O`) should work on x86 and arm64 MacOS boxes. +User emulation mode of QEMU does not appear to be supported on MacOS X, so +black-box instrumentation mode (`-Q`) will not work. However, Frida mode (`-O`) +should work on x86 and arm64 MacOS boxes. -MacOS X supports SYSV shared memory used by AFL's instrumentation, but the default settings aren't usable with AFL++. -The default settings on 10.14 seem to be: +MacOS X supports SYSV shared memory used by AFL's instrumentation, but the +default settings aren't usable with AFL++. The default settings on 10.14 seem to +be: ```bash $ ipcs -M @@ -136,14 +151,16 @@ shminfo: shmall: 1024 (max amount of shared memory in pages) ``` -To temporarily change your settings to something minimally usable with AFL++, run these commands as root: +To temporarily change your settings to something minimally usable with AFL++, +run these commands as root: ```bash sysctl kern.sysv.shmmax=8388608 sysctl kern.sysv.shmall=4096 ``` -If you're running more than one instance of AFL, you likely want to make `shmall` bigger and increase `shmseg` as well: +If you're running more than one instance of AFL, you likely want to make +`shmall` bigger and increase `shmseg` as well: ```bash sysctl kern.sysv.shmmax=8388608 @@ -151,4 +168,6 @@ sysctl kern.sysv.shmseg=48 sysctl kern.sysv.shmall=98304 ``` -See [https://www.spy-hill.com/help/apple/SharedMemory.html](https://www.spy-hill.com/help/apple/SharedMemory.html) for documentation for these settings and how to make them permanent. \ No newline at end of file +See +[https://www.spy-hill.com/help/apple/SharedMemory.html](https://www.spy-hill.com/help/apple/SharedMemory.html) +for documentation for these settings and how to make them permanent. \ No newline at end of file diff --git a/docs/afl-fuzz_approach.md b/docs/afl-fuzz_approach.md index fefde029..3804f5a0 100644 --- a/docs/afl-fuzz_approach.md +++ b/docs/afl-fuzz_approach.md @@ -445,8 +445,8 @@ involve any state transitions not seen in previously-recorded faults. If a single bug can be reached in multiple ways, there will be some count inflation early in the process, but this should quickly taper off. -The file names for crashes and hangs are correlated with the parent, non-faulting -queue entries. This should help with debugging. +The file names for crashes and hangs are correlated with the parent, +non-faulting queue entries. This should help with debugging. ## Visualizing diff --git a/docs/best_practices.md b/docs/best_practices.md index 6a406bde..e6b252f6 100644 --- a/docs/best_practices.md +++ b/docs/best_practices.md @@ -18,7 +18,8 @@ ### Fuzzing a target with source code available -To learn how to fuzz a target if source code is available, see [fuzzing_in_depth.md](fuzzing_in_depth.md). +To learn how to fuzz a target if source code is available, see +[fuzzing_in_depth.md](fuzzing_in_depth.md). ### Fuzzing a binary-only target @@ -27,11 +28,16 @@ For a comprehensive guide, see ### Fuzzing a GUI program -If the GUI program can read the fuzz data from a file (via the command line, a fixed location or via an environment variable) without needing any user interaction, then it would be suitable for fuzzing. +If the GUI program can read the fuzz data from a file (via the command line, a +fixed location or via an environment variable) without needing any user +interaction, then it would be suitable for fuzzing. -Otherwise, it is not possible without modifying the source code - which is a very good idea anyway as the GUI functionality is a huge CPU/time overhead for the fuzzing. +Otherwise, it is not possible without modifying the source code - which is a +very good idea anyway as the GUI functionality is a huge CPU/time overhead for +the fuzzing. -So create a new `main()` that just reads the test case and calls the functionality for processing the input that the GUI program is using. +So create a new `main()` that just reads the test case and calls the +functionality for processing the input that the GUI program is using. ### Fuzzing a network service @@ -40,13 +46,16 @@ Fuzzing a network service does not work "out of the box". Using a network channel is inadequate for several reasons: - it has a slow-down of x10-20 on the fuzzing speed - it does not scale to fuzzing multiple instances easily, -- instead of one initial data packet often a back-and-forth interplay of packets is needed for stateful protocols (which is totally unsupported by most coverage aware fuzzers). +- instead of one initial data packet often a back-and-forth interplay of packets + is needed for stateful protocols (which is totally unsupported by most + coverage aware fuzzers). -The established method to fuzz network services is to modify the source code -to read from a file or stdin (fd 0) (or even faster via shared memory, combine -this with persistent mode [instrumentation/README.persistent_mode.md](../instrumentation/README.persistent_mode.md) -and you have a performance gain of x10 instead of a performance loss of over -x10 - that is a x100 difference!). +The established method to fuzz network services is to modify the source code to +read from a file or stdin (fd 0) (or even faster via shared memory, combine this +with persistent mode +[instrumentation/README.persistent_mode.md](../instrumentation/README.persistent_mode.md) +and you have a performance gain of x10 instead of a performance loss of over x10 +- that is a x100 difference!). If modifying the source is not an option (e.g., because you only have a binary and perform binary fuzzing) you can also use a shared library with AFL_PRELOAD @@ -64,13 +73,25 @@ allows you to define network state with different type of data packets. ### Improving speed -1. Use [llvm_mode](../instrumentation/README.llvm.md): afl-clang-lto (llvm >= 11) or afl-clang-fast (llvm >= 9 recommended). -2. Use [persistent mode](../instrumentation/README.persistent_mode.md) (x2-x20 speed increase). -3. Instrument just what you are interested in, see [instrumentation/README.instrument_list.md](../instrumentation/README.instrument_list.md). -4. If you do not use shmem persistent mode, use `AFL_TMPDIR` to put the input file directory on a tempfs location, see [env_variables.md](env_variables.md). -5. Improve Linux kernel performance: modify `/etc/default/grub`, set `GRUB_CMDLINE_LINUX_DEFAULT="ibpb=off ibrs=off kpti=off l1tf=off mds=off mitigations=off no_stf_barrier noibpb noibrs nopcid nopti nospec_store_bypass_disable nospectre_v1 nospectre_v2 pcid=off pti=off spec_store_bypass_disable=off spectre_v2=off stf_barrier=off"`; then `update-grub` and `reboot` (warning: makes the system less secure). -6. Running on an `ext2` filesystem with `noatime` mount option will be a bit faster than on any other journaling filesystem. -7. Use your cores ([fuzzing_in_depth.md:3c) Using multiple cores](fuzzing_in_depth.md#c-using-multiple-cores))! +1. Use [llvm_mode](../instrumentation/README.llvm.md): afl-clang-lto (llvm >= + 11) or afl-clang-fast (llvm >= 9 recommended). +2. Use [persistent mode](../instrumentation/README.persistent_mode.md) (x2-x20 + speed increase). +3. Instrument just what you are interested in, see + [instrumentation/README.instrument_list.md](../instrumentation/README.instrument_list.md). +4. If you do not use shmem persistent mode, use `AFL_TMPDIR` to put the input + file directory on a tempfs location, see + [env_variables.md](env_variables.md). +5. Improve Linux kernel performance: modify `/etc/default/grub`, set + `GRUB_CMDLINE_LINUX_DEFAULT="ibpb=off ibrs=off kpti=off l1tf=off mds=off + mitigations=off no_stf_barrier noibpb noibrs nopcid nopti + nospec_store_bypass_disable nospectre_v1 nospectre_v2 pcid=off pti=off + spec_store_bypass_disable=off spectre_v2=off stf_barrier=off"`; then + `update-grub` and `reboot` (warning: makes the system less secure). +6. Running on an `ext2` filesystem with `noatime` mount option will be a bit + faster than on any other journaling filesystem. +7. Use your cores + ([fuzzing_in_depth.md:3c) Using multiple cores](fuzzing_in_depth.md#c-using-multiple-cores))! ### Improving stability @@ -78,46 +99,60 @@ For fuzzing a 100% stable target that covers all edges is the best case. A 90% stable target that covers all edges is, however, better than a 100% stable target that ignores 10% of the edges. -With instability, you basically have a partial coverage loss on an edge, with ignored functions you have a full loss on that edges. +With instability, you basically have a partial coverage loss on an edge, with +ignored functions you have a full loss on that edges. There are functions that are unstable, but also provide value to coverage, e.g., init functions that use fuzz data as input. If, however, a function that has nothing to do with the input data is the source of instability, e.g., checking jitter, or is a hash map function etc., then it should not be instrumented. -To be able to exclude these functions (based on AFL++'s measured stability), the following process will allow to identify functions with variable edges. +To be able to exclude these functions (based on AFL++'s measured stability), the +following process will allow to identify functions with variable edges. -Four steps are required to do this and it also requires quite some knowledge of coding and/or disassembly and is effectively possible only with `afl-clang-fast` `PCGUARD` and `afl-clang-lto` `LTO` instrumentation. +Four steps are required to do this and it also requires quite some knowledge of +coding and/or disassembly and is effectively possible only with `afl-clang-fast` +`PCGUARD` and `afl-clang-lto` `LTO` instrumentation. 1. Instrument to be able to find the responsible function(s): - a) For LTO instrumented binaries, this can be documented during compile time, just set `export AFL_LLVM_DOCUMENT_IDS=/path/to/a/file`. - This file will have one assigned edge ID and the corresponding function per line. - - b) For PCGUARD instrumented binaries, it is much more difficult. Here you can either modify the `__sanitizer_cov_trace_pc_guard` function in `instrumentation/afl-llvm-rt.o.c` to write a backtrace to a file if the ID in `__afl_area_ptr[*guard]` is one of the unstable edge IDs. - (Example code is already there). - Then recompile and reinstall `llvm_mode` and rebuild your target. - Run the recompiled target with `afl-fuzz` for a while and then check the file that you wrote with the backtrace information. - Alternatively, you can use `gdb` to hook `__sanitizer_cov_trace_pc_guard_init` on start, check to which memory address the edge ID value is written, and set a write breakpoint to that address (`watch 0x.....`). - - c) In other instrumentation types, this is not possible. - So just recompile with the two mentioned above. - This is just for identifying the functions that have unstable edges. + a) For LTO instrumented binaries, this can be documented during compile + time, just set `export AFL_LLVM_DOCUMENT_IDS=/path/to/a/file`. This file + will have one assigned edge ID and the corresponding function per line. + + b) For PCGUARD instrumented binaries, it is much more difficult. Here you + can either modify the `__sanitizer_cov_trace_pc_guard` function in + `instrumentation/afl-llvm-rt.o.c` to write a backtrace to a file if the + ID in `__afl_area_ptr[*guard]` is one of the unstable edge IDs. (Example + code is already there). Then recompile and reinstall `llvm_mode` and + rebuild your target. Run the recompiled target with `afl-fuzz` for a + while and then check the file that you wrote with the backtrace + information. Alternatively, you can use `gdb` to hook + `__sanitizer_cov_trace_pc_guard_init` on start, check to which memory + address the edge ID value is written, and set a write breakpoint to that + address (`watch 0x.....`). + + c) In other instrumentation types, this is not possible. So just recompile + with the two mentioned above. This is just for identifying the functions + that have unstable edges. 2. Identify which edge ID numbers are unstable. Run the target with `export AFL_DEBUG=1` for a few minutes then terminate. The out/fuzzer_stats file will then show the edge IDs that were identified - as unstable in the `var_bytes` entry. You can match these numbers - directly to the data you created in the first step. - Now you know which functions are responsible for the instability + as unstable in the `var_bytes` entry. You can match these numbers directly + to the data you created in the first step. Now you know which functions are + responsible for the instability 3. Create a text file with the filenames/functions - Identify which source code files contain the functions that you need to remove from instrumentation, or just specify the functions you want to skip for instrumentation. - Note that optimization might inline functions! + Identify which source code files contain the functions that you need to + remove from instrumentation, or just specify the functions you want to skip + for instrumentation. Note that optimization might inline functions! + + Follow this document on how to do this: + [instrumentation/README.instrument_list.md](../instrumentation/README.instrument_list.md). - Follow this document on how to do this: [instrumentation/README.instrument_list.md](../instrumentation/README.instrument_list.md). If `PCGUARD` is used, then you need to follow this guide (needs llvm 12+!): [https://clang.llvm.org/docs/SanitizerCoverage.html#partially-disabling-instrumentation](https://clang.llvm.org/docs/SanitizerCoverage.html#partially-disabling-instrumentation) @@ -132,4 +167,5 @@ Four steps are required to do this and it also requires quite some knowledge of Recompile, fuzz it, be happy :) - This link explains this process for [Fuzzbench](https://github.com/google/fuzzbench/issues/677). + This link explains this process for + [Fuzzbench](https://github.com/google/fuzzbench/issues/677). \ No newline at end of file diff --git a/docs/custom_mutators.md b/docs/custom_mutators.md index 6bee5413..2a77db82 100644 --- a/docs/custom_mutators.md +++ b/docs/custom_mutators.md @@ -4,13 +4,13 @@ This file describes how you can implement custom mutations to be used in AFL. For now, we support C/C++ library and Python module, collectivelly named as the custom mutator. -There is also experimental support for Rust in `custom_mutators/rust`. -For documentation, refer to that directory. -Run ```cargo doc -p custom_mutator --open``` in that directory to view the -documentation in your web browser. +There is also experimental support for Rust in `custom_mutators/rust`. For +documentation, refer to that directory. Run `cargo doc -p custom_mutator --open` +in that directory to view the documentation in your web browser. Implemented by -- C/C++ library (`*.so`): Khaled Yakdan from Code Intelligence () +- C/C++ library (`*.so`): Khaled Yakdan from Code Intelligence + () - Python module: Christian Holler from Mozilla () ## 1) Introduction @@ -29,7 +29,8 @@ export AFL_CUSTOM_MUTATOR_LIBRARY="full/path/to/mutator_first.so;full/path/to/mu For details, see [APIs](#2-apis) and [Usage](#3-usage). -The custom mutation stage is set to be the first non-deterministic stage (right before the havoc stage). +The custom mutation stage is set to be the first non-deterministic stage (right +before the havoc stage). Note: If `AFL_CUSTOM_MUTATOR_ONLY` is set, all mutations will solely be performed with the custom mutator. @@ -103,7 +104,8 @@ def deinit(): # optional for Python - `init`: - This method is called when AFL++ starts up and is used to seed RNG and set up buffers and state. + This method is called when AFL++ starts up and is used to seed RNG and set + up buffers and state. - `queue_get` (optional): @@ -121,18 +123,17 @@ def deinit(): # optional for Python - `fuzz` (optional): This method performs custom mutations on a given input. It also accepts an - additional test case. - Note that this function is optional - but it makes sense to use it. - You would only skip this if `post_process` is used to fix checksums etc. - so if you are using it, e.g., as a post processing library. + additional test case. Note that this function is optional - but it makes + sense to use it. You would only skip this if `post_process` is used to fix + checksums etc. so if you are using it, e.g., as a post processing library. Note that a length > 0 *must* be returned! - `describe` (optional): When this function is called, it shall describe the current test case, - generated by the last mutation. This will be called, for example, - to name the written test case file after a crash occurred. - Using it can help to reproduce crashing mutations. + generated by the last mutation. This will be called, for example, to name + the written test case file after a crash occurred. Using it can help to + reproduce crashing mutations. - `havoc_mutation` and `havoc_mutation_probability` (optional): @@ -144,21 +145,21 @@ def deinit(): # optional for Python - `post_process` (optional): For some cases, the format of the mutated data returned from the custom - mutator is not suitable to directly execute the target with this input. - For example, when using libprotobuf-mutator, the data returned is in a - protobuf format which corresponds to a given grammar. In order to execute - the target, the protobuf data must be converted to the plain-text format - expected by the target. In such scenarios, the user can define the - `post_process` function. This function is then transforming the data into the - format expected by the API before executing the target. + mutator is not suitable to directly execute the target with this input. For + example, when using libprotobuf-mutator, the data returned is in a protobuf + format which corresponds to a given grammar. In order to execute the target, + the protobuf data must be converted to the plain-text format expected by the + target. In such scenarios, the user can define the `post_process` function. + This function is then transforming the data into the format expected by the + API before executing the target. This can return any python object that implements the buffer protocol and supports PyBUF_SIMPLE. These include bytes, bytearray, etc. - `queue_new_entry` (optional): - This methods is called after adding a new test case to the queue. - If the contents of the file was changed return True, False otherwise. + This methods is called after adding a new test case to the queue. If the + contents of the file was changed, return True, False otherwise. - `introspection` (optional): @@ -170,8 +171,8 @@ def deinit(): # optional for Python The last method to be called, deinitializing the state. -Note that there are also three functions for trimming as described in the -next section. +Note that there are also three functions for trimming as described in the next +section. ### Trimming Support @@ -179,8 +180,8 @@ The generic trimming routines implemented in AFL++ can easily destroy the structure of complex formats, possibly leading to a point where you have a lot of test cases in the queue that your Python module cannot process anymore but your target application still accepts. This is especially the case when your -target can process a part of the input (causing coverage) and then errors out -on the remaining input. +target can process a part of the input (causing coverage) and then errors out on +the remaining input. In such cases, it makes sense to implement a custom trimming routine. The API consists of multiple methods because after each trimming step, we have to go @@ -213,10 +214,10 @@ trimmed input. Here's a quick API description: - `post_trim` (optional) This method is called after each trim operation to inform you if your - trimming step was successful or not (in terms of coverage). If you receive - a failure here, you should reset your input to the last known good state. - In any case, this method must return the next trim iteration index (from 0 - to the maximum amount of steps you returned in `init_trim`). + trimming step was successful or not (in terms of coverage). If you receive a + failure here, you should reset your input to the last known good state. In + any case, this method must return the next trim iteration index (from 0 to + the maximum amount of steps you returned in `init_trim`). Omitting any of three trimming methods will cause the trimming to be disabled and trigger a fallback to the built-in default trimming routine. @@ -227,10 +228,10 @@ Optionally, the following environment variables are supported: - `AFL_CUSTOM_MUTATOR_ONLY` - Disable all other mutation stages. This can prevent broken test cases - (those that your Python module can't work with anymore) to fill up your - queue. Best combined with a custom trimming routine (see below) because - trimming can cause the same test breakage like havoc and splice. + Disable all other mutation stages. This can prevent broken test cases (those + that your Python module can't work with anymore) to fill up your queue. Best + combined with a custom trimming routine (see below) because trimming can + cause the same test breakage like havoc and splice. - `AFL_PYTHON_ONLY` @@ -270,9 +271,10 @@ For C/C++ mutators, the source code must be compiled as a shared object: ```bash gcc -shared -Wall -O3 example.c -o example.so ``` -Note that if you specify multiple custom mutators, the corresponding functions will -be called in the order in which they are specified. e.g first `post_process` function of -`example_first.so` will be called and then that of `example_second.so`. +Note that if you specify multiple custom mutators, the corresponding functions +will be called in the order in which they are specified. e.g first +`post_process` function of `example_first.so` will be called and then that of +`example_second.so`. ### Run @@ -300,4 +302,4 @@ See [example.c](../custom_mutators/examples/example.c) and - [bruce30262/libprotobuf-mutator_fuzzing_learning](https://github.com/bruce30262/libprotobuf-mutator_fuzzing_learning/tree/master/4_libprotobuf_aflpp_custom_mutator) - [thebabush/afl-libprotobuf-mutator](https://github.com/thebabush/afl-libprotobuf-mutator) - [XML Fuzzing@NullCon 2017](https://www.agarri.fr/docs/XML_Fuzzing-NullCon2017-PUBLIC.pdf) - - [A bug detected by AFL + XML-aware mutators](https://bugs.chromium.org/p/chromium/issues/detail?id=930663) + - [A bug detected by AFL + XML-aware mutators](https://bugs.chromium.org/p/chromium/issues/detail?id=930663) \ No newline at end of file diff --git a/docs/env_variables.md b/docs/env_variables.md index 771bf157..3f7bdadb 100644 --- a/docs/env_variables.md +++ b/docs/env_variables.md @@ -590,79 +590,81 @@ the preferred way to configure FRIDA mode is through its * `AFL_FRIDA_DEBUG_MAPS` - See `AFL_QEMU_DEBUG_MAPS` * `AFL_FRIDA_DRIVER_NO_HOOK` - See `AFL_QEMU_DRIVER_NO_HOOK`. When using the -QEMU driver to provide a `main` loop for a user provided -`LLVMFuzzerTestOneInput`, this option configures the driver to read input from -`stdin` rather than using in-memory test cases. + QEMU driver to provide a `main` loop for a user provided + `LLVMFuzzerTestOneInput`, this option configures the driver to read input from + `stdin` rather than using in-memory test cases. * `AFL_FRIDA_EXCLUDE_RANGES` - See `AFL_QEMU_EXCLUDE_RANGES` * `AFL_FRIDA_INST_COVERAGE_FILE` - File to write DynamoRio format coverage -information (e.g., to be loaded within IDA lighthouse). + information (e.g., to be loaded within IDA lighthouse). * `AFL_FRIDA_INST_DEBUG_FILE` - File to write raw assembly of original blocks -and their instrumented counterparts during block compilation. + and their instrumented counterparts during block compilation. * `AFL_FRIDA_INST_JIT` - Enable the instrumentation of Just-In-Time compiled -code. Code is considered to be JIT if the executable segment is not backed by a -file. + code. Code is considered to be JIT if the executable segment is not backed by + a file. * `AFL_FRIDA_INST_NO_OPTIMIZE` - Don't use optimized inline assembly coverage -instrumentation (the default where available). Required to use -`AFL_FRIDA_INST_TRACE`. + instrumentation (the default where available). Required to use + `AFL_FRIDA_INST_TRACE`. * `AFL_FRIDA_INST_NO_BACKPATCH` - Disable backpatching. At the end of executing -each block, control will return to FRIDA to identify the next block to execute. + each block, control will return to FRIDA to identify the next block to + execute. * `AFL_FRIDA_INST_NO_PREFETCH` - Disable prefetching. By default the child will -report instrumented blocks back to the parent so that it can also instrument -them and they be inherited by the next child on fork, implies -`AFL_FRIDA_INST_NO_PREFETCH_BACKPATCH`. + report instrumented blocks back to the parent so that it can also instrument + them and they be inherited by the next child on fork, implies + `AFL_FRIDA_INST_NO_PREFETCH_BACKPATCH`. * `AFL_FRIDA_INST_NO_PREFETCH_BACKPATCH` - Disable prefetching of stalker -backpatching information. By default the child will report applied backpatches -to the parent so that they can be applied and then be inherited by the next -child on fork. + backpatching information. By default the child will report applied backpatches + to the parent so that they can be applied and then be inherited by the next + child on fork. * `AFL_FRIDA_INST_RANGES` - See `AFL_QEMU_INST_RANGES` * `AFL_FRIDA_INST_SEED` - Sets the initial seed for the hash function used to -generate block (and hence edge) IDs. Setting this to a constant value may be -useful for debugging purposes, e.g., investigating unstable edges. -* `AFL_FRIDA_INST_TRACE` - Log to stdout the address of executed blocks, -implies `AFL_FRIDA_INST_NO_OPTIMIZE`. + generate block (and hence edge) IDs. Setting this to a constant value may be + useful for debugging purposes, e.g., investigating unstable edges. +* `AFL_FRIDA_INST_TRACE` - Log to stdout the address of executed blocks, implies + `AFL_FRIDA_INST_NO_OPTIMIZE`. * `AFL_FRIDA_INST_TRACE_UNIQUE` - As per `AFL_FRIDA_INST_TRACE`, but each edge -is logged only once, requires `AFL_FRIDA_INST_NO_OPTIMIZE`. + is logged only once, requires `AFL_FRIDA_INST_NO_OPTIMIZE`. * `AFL_FRIDA_INST_UNSTABLE_COVERAGE_FILE` - File to write DynamoRio format -coverage information for unstable edges (e.g., to be loaded within IDA -lighthouse). + coverage information for unstable edges (e.g., to be loaded within IDA + lighthouse). * `AFL_FRIDA_JS_SCRIPT` - Set the script to be loaded by the FRIDA scripting -engine. See [here](Scripting.md) for details. + engine. See [here](Scripting.md) for details. * `AFL_FRIDA_OUTPUT_STDOUT` - Redirect the standard output of the target -application to the named file (supersedes the setting of `AFL_DEBUG_CHILD`) + application to the named file (supersedes the setting of `AFL_DEBUG_CHILD`) * `AFL_FRIDA_OUTPUT_STDERR` - Redirect the standard error of the target -application to the named file (supersedes the setting of `AFL_DEBUG_CHILD`) + application to the named file (supersedes the setting of `AFL_DEBUG_CHILD`) * `AFL_FRIDA_PERSISTENT_ADDR` - See `AFL_QEMU_PERSISTENT_ADDR` * `AFL_FRIDA_PERSISTENT_CNT` - See `AFL_QEMU_PERSISTENT_CNT` * `AFL_FRIDA_PERSISTENT_DEBUG` - Insert a Breakpoint into the instrumented code -at `AFL_FRIDA_PERSISTENT_HOOK` and `AFL_FRIDA_PERSISTENT_RET` to allow the user -to detect issues in the persistent loop using a debugger. + at `AFL_FRIDA_PERSISTENT_HOOK` and `AFL_FRIDA_PERSISTENT_RET` to allow the + user to detect issues in the persistent loop using a debugger. * `AFL_FRIDA_PERSISTENT_HOOK` - See `AFL_QEMU_PERSISTENT_HOOK` * `AFL_FRIDA_PERSISTENT_RET` - See `AFL_QEMU_PERSISTENT_RET` * `AFL_FRIDA_SECCOMP_FILE` - Write a log of any syscalls made by the target to -the specified file. + the specified file. * `AFL_FRIDA_STALKER_ADJACENT_BLOCKS` - Configure the number of adjacent blocks - to fetch when generating instrumented code. By fetching blocks in the same - order they appear in the original program, rather than the order of execution - should help reduce locallity and adjacency. This includes allowing us to vector - between adjancent blocks using a NOP slide rather than an immediate branch. + to fetch when generating instrumented code. By fetching blocks in the same + order they appear in the original program, rather than the order of execution + should help reduce locallity and adjacency. This includes allowing us to + vector between adjancent blocks using a NOP slide rather than an immediate + branch. * `AFL_FRIDA_STALKER_IC_ENTRIES` - Configure the number of inline cache entries -stored along-side branch instructions which provide a cache to avoid having to -call back into FRIDA to find the next block. Default is 32. + stored along-side branch instructions which provide a cache to avoid having to + call back into FRIDA to find the next block. Default is 32. * `AFL_FRIDA_STATS_FILE` - Write statistics information about the code being -instrumented to the given file name. The statistics are written only for the -child process when new block is instrumented (when the -`AFL_FRIDA_STATS_INTERVAL` has expired). Note that just because a new path is -found does not mean a new block needs to be compiled. It could be that -the existing blocks instrumented have been executed in a different order. + instrumented to the given file name. The statistics are written only for the + child process when new block is instrumented (when the + `AFL_FRIDA_STATS_INTERVAL` has expired). Note that just because a new path is + found does not mean a new block needs to be compiled. It could be that the + existing blocks instrumented have been executed in a different order. * `AFL_FRIDA_STATS_INTERVAL` - The maximum frequency to output statistics -information. Stats will be written whenever they are updated if the given -interval has elapsed since last time they were written. + information. Stats will be written whenever they are updated if the given + interval has elapsed since last time they were written. * `AFL_FRIDA_TRACEABLE` - Set the child process to be traceable by any process -to aid debugging and overcome the restrictions imposed by YAMA. Supported on -Linux only. Permits a non-root user to use `gcore` or similar to collect a core -dump of the instrumented target. Note that in order to capture the core dump you -must set a sufficient timeout (using `-t`) to avoid `afl-fuzz` killing the -process whilst it is being dumped. + to aid debugging and overcome the restrictions imposed by YAMA. Supported on + Linux only. Permits a non-root user to use `gcore` or similar to collect a + core dump of the instrumented target. Note that in order to capture the core + dump you must set a sufficient timeout (using `-t`) to avoid `afl-fuzz` + killing the process whilst it is being dumped. ## 8) Settings for afl-cmin diff --git a/docs/fuzzing_binary-only_targets.md b/docs/fuzzing_binary-only_targets.md index a786fd8b..b3d9ca02 100644 --- a/docs/fuzzing_binary-only_targets.md +++ b/docs/fuzzing_binary-only_targets.md @@ -84,7 +84,8 @@ Wine, python3, and the pefile python package installed. It is included in AFL++. -For more information, see [qemu_mode/README.wine.md](../qemu_mode/README.wine.md). +For more information, see +[qemu_mode/README.wine.md](../qemu_mode/README.wine.md). ### Frida_mode @@ -169,7 +170,8 @@ Fore more information, see ## Binary rewriters -An alternative solution are binary rewriters. They are faster then the solutions native to AFL++ but don't always work. +An alternative solution are binary rewriters. They are faster then the solutions +native to AFL++ but don't always work. ### ZAFL ZAFL is a static rewriting platform supporting x86-64 C/C++, diff --git a/docs/fuzzing_in_depth.md b/docs/fuzzing_in_depth.md index d408aa91..9611d6b7 100644 --- a/docs/fuzzing_in_depth.md +++ b/docs/fuzzing_in_depth.md @@ -259,6 +259,7 @@ Then build the target. (Usually with `make`) #### configure For `configure` build systems this is usually done by: + `CC=afl-clang-fast CXX=afl-clang-fast++ ./configure --disable-shared` Note that if you are using the (better) afl-clang-lto compiler you also have to @@ -268,6 +269,7 @@ described in [instrumentation/README.lto.md](../instrumentation/README.lto.md). #### cmake For `cmake` build systems this is usually done by: + `mkdir build; cd build; cmake -DCMAKE_C_COMPILER=afl-cc -DCMAKE_CXX_COMPILER=afl-c++ ..` Note that if you are using the (better) afl-clang-lto compiler you also have to @@ -307,8 +309,8 @@ it for a hobby and not professionally :-). ### g) libfuzzer fuzzer harnesses with LLVMFuzzerTestOneInput() -libfuzzer `LLVMFuzzerTestOneInput()` harnesses are the defacto standard -for fuzzing, and they can be used with AFL++ (and honggfuzz) as well! +libfuzzer `LLVMFuzzerTestOneInput()` harnesses are the defacto standard for +fuzzing, and they can be used with AFL++ (and honggfuzz) as well! Compiling them is as simple as: @@ -358,8 +360,11 @@ Put all files from step a) into one directory, e.g., INPUTS. If the target program is to be called by fuzzing as `bin/target -d INPUTFILE` the run afl-cmin like this: + `afl-cmin -i INPUTS -o INPUTS_UNIQUE -- bin/target -d @@` -Note that the INPUTFILE argument that the target program would read from has to be set as `@@`. + +Note that the INPUTFILE argument that the target program would read from has to +be set as `@@`. If the target reads from stdin instead, just omit the `@@` as this is the default. @@ -420,22 +425,25 @@ as test data in there. If you do not want anything special, the defaults are already usually best, hence all you need is to specify the seed input directory with the result of step [2a) Collect inputs](#a-collect-inputs): + `afl-fuzz -i input -o output -- bin/target -d @@` -Note that the directory specified with -o will be created if it does not exist. + +Note that the directory specified with `-o` will be created if it does not +exist. It can be valuable to run afl-fuzz in a screen or tmux shell so you can log off, or afl-fuzz is not aborted if you are running it in a remote ssh session where -the connection fails in between. -Only do that though once you have verified that your fuzzing setup works! -Run it like `screen -dmS afl-main -- afl-fuzz -M main-$HOSTNAME -i ...` -and it will start away in a screen session. To enter this session, type -`screen -r afl-main`. You see - it makes sense to name the screen session -same as the afl-fuzz -M/-S naming :-) -For more information on screen or tmux, check their documentation. +the connection fails in between. Only do that though once you have verified that +your fuzzing setup works! Run it like `screen -dmS afl-main -- afl-fuzz -M +main-$HOSTNAME -i ...` and it will start away in a screen session. To enter this +session, type `screen -r afl-main`. You see - it makes sense to name the screen +session same as the afl-fuzz -M/-S naming :-) For more information on screen or +tmux, check their documentation. If you need to stop and re-start the fuzzing, use the same command line options (or even change them by selecting a different power schedule or another mutation mode!) and switch the input directory with a dash (`-`): + `afl-fuzz -i - -o output -- bin/target -d @@` Adding a dictionary is helpful. See the directory @@ -457,12 +465,13 @@ handling in the target. Play around with various -m values until you find one that safely works for all your input seeds (if you have good ones and then double or quadruple that. -By default afl-fuzz never stops fuzzing. To terminate AFL++, press -Control-C or send a signal SIGINT. You can limit the number of executions or -approximate runtime in seconds with options also. +By default afl-fuzz never stops fuzzing. To terminate AFL++, press Control-C or +send a signal SIGINT. You can limit the number of executions or approximate +runtime in seconds with options also. When you start afl-fuzz you will see a user interface that shows what the status is: + ![resources/screenshot.png](resources/screenshot.png) All labels are explained in [status_screen.md](status_screen.md). @@ -528,8 +537,8 @@ All other secondaries should be used like this: Also, it is recommended to set `export AFL_IMPORT_FIRST=1` to load test cases from other fuzzers in the campaign first. -If you have a large corpus, a corpus from a previous run or are fuzzing in -a CI, then also set `export AFL_CMPLOG_ONLY_NEW=1` and `export AFL_FAST_CAL=1`. +If you have a large corpus, a corpus from a previous run or are fuzzing in a CI, +then also set `export AFL_CMPLOG_ONLY_NEW=1` and `export AFL_FAST_CAL=1`. You can also use different fuzzers. If you are using AFL spinoffs or AFL conforming fuzzers, then just use the same -o directory and give it a unique @@ -553,11 +562,10 @@ recommended! ### d) Using multiple machines for fuzzing -Maybe you have more than one machine you want to fuzz the same target on. -Start the `afl-fuzz` (and perhaps libfuzzer, honggfuzz, ...) -orchestra as you like, just ensure that your have one and only one `-M` -instance per server, and that its name is unique, hence the recommendation -for `-M main-$HOSTNAME`. +Maybe you have more than one machine you want to fuzz the same target on. Start +the `afl-fuzz` (and perhaps libfuzzer, honggfuzz, ...) orchestra as you like, +just ensure that your have one and only one `-M` instance per server, and that +its name is unique, hence the recommendation for `-M main-$HOSTNAME`. Now there are three strategies on how you can sync between the servers: * never: sounds weird, but this makes every server an island and has the chance diff --git a/docs/ideas.md b/docs/ideas.md index 8193983b..1a578313 100644 --- a/docs/ideas.md +++ b/docs/ideas.md @@ -1,31 +1,29 @@ # Ideas for AFL++ -In the following, we describe a variety of ideas that could be implemented -for future AFL++ versions. +In the following, we describe a variety of ideas that could be implemented for +future AFL++ versions. ## Analysis software -Currently analysis is done by using afl-plot, which is rather outdated. -A GTK or browser tool to create run-time analysis based on fuzzer_stats, -queue/id* information and plot_data that allows for zooming in and out, -changing min/max display values etc. and doing that for a single run, -different runs and campaigns vs campaigns. -Interesting values are execs, and execs/s, edges discovered (total, when -each edge was discovered and which other fuzzer share finding that edge), -test cases executed. -It should be clickable which value is X and Y axis, zoom factor, log scaling -on-off, etc. +Currently analysis is done by using afl-plot, which is rather outdated. A GTK or +browser tool to create run-time analysis based on fuzzer_stats, queue/id* +information and plot_data that allows for zooming in and out, changing min/max +display values etc. and doing that for a single run, different runs and +campaigns vs campaigns. Interesting values are execs, and execs/s, edges +discovered (total, when each edge was discovered and which other fuzzer share +finding that edge), test cases executed. It should be clickable which value is X +and Y axis, zoom factor, log scaling on-off, etc. Mentor: vanhauser-thc ## WASM Instrumentation Currently, AFL++ can be used for source code fuzzing and traditional binaries. -With the rise of WASM as compile target, however, a novel way of -instrumentation needs to be implemented for binaries compiled to Webassembly. -This can either be done by inserting instrumentation directly into the -WASM AST, or by patching feedback into a WASM VMs of choice, similar to -the current Unicorn instrumentation. +With the rise of WASM as compile target, however, a novel way of instrumentation +needs to be implemented for binaries compiled to Webassembly. This can either be +done by inserting instrumentation directly into the WASM AST, or by patching +feedback into a WASM VMs of choice, similar to the current Unicorn +instrumentation. Mentor: any @@ -34,25 +32,26 @@ Mentor: any Other programming languages also use llvm hence they could (easily?) supported for fuzzing, e.g., mono, swift, go, kotlin native, fortran, ... -GCC also supports: Objective-C, Fortran, Ada, Go, and D -(according to [Gcc homepage](https://gcc.gnu.org/)) +GCC also supports: Objective-C, Fortran, Ada, Go, and D (according to +[Gcc homepage](https://gcc.gnu.org/)) -LLVM is also used by: Rust, LLGo (Go), kaleidoscope (Haskell), flang (Fortran), emscripten (JavaScript, WASM), ilwasm (CIL (C#)) -(according to [LLVM frontends](https://gist.github.com/axic/62d66fb9d8bccca6cc48fa9841db9241)) +LLVM is also used by: Rust, LLGo (Go), kaleidoscope (Haskell), flang (Fortran), +emscripten (JavaScript, WASM), ilwasm (CIL (C#)) (according to +[LLVM frontends](https://gist.github.com/axic/62d66fb9d8bccca6cc48fa9841db9241)) Mentor: vanhauser-thc ## Machine Learning -Something with machine learning, better than [NEUZZ](https://github.com/dongdongshe/neuzz) :-) -Either improve a single mutator thorugh learning of many different bugs -(a bug class) or gather deep insights about a single target beforehand -(CFG, DFG, VFG, ...?) and improve performance for a single target. +Something with machine learning, better than +[NEUZZ](https://github.com/dongdongshe/neuzz) :-) Either improve a single +mutator thorugh learning of many different bugs (a bug class) or gather deep +insights about a single target beforehand (CFG, DFG, VFG, ...?) and improve +performance for a single target. Mentor: domenukk ## Your idea! -Finally, we are open to proposals! -Create an issue at https://github.com/AFLplusplus/AFLplusplus/issues and let's discuss :-) - +Finally, we are open to proposals! Create an issue at +https://github.com/AFLplusplus/AFLplusplus/issues and let's discuss :-) \ No newline at end of file diff --git a/docs/important_changes.md b/docs/important_changes.md index 82de054f..9d4523e8 100644 --- a/docs/important_changes.md +++ b/docs/important_changes.md @@ -1,6 +1,7 @@ # Important changes in AFL++ -This document lists important changes in AFL++, for example, major behavior changes. +This document lists important changes in AFL++, for example, major behavior +changes. ## From version 3.00 onwards @@ -10,8 +11,8 @@ iOS etc. With AFL++ 3.15 we introduced the following changes from previous behaviors: * Also -M main mode does not do deterministic fuzzing by default anymore - * afl-cmin and afl-showmap -Ci now descent into subdirectories like - afl-fuzz -i does (but note that afl-cmin.bash does not) + * afl-cmin and afl-showmap -Ci now descent into subdirectories like afl-fuzz + -i does (but note that afl-cmin.bash does not) With AFL++ 3.14 we introduced the following changes from previous behaviors: * afl-fuzz: deterministic fuzzing it not a default for -M main anymore @@ -31,22 +32,22 @@ behaviors and defaults: * The gcc_plugin was replaced with a new version submitted by AdaCore that supports more features. Thank you! * qemu_mode got upgraded to QEMU 5.1, but to be able to build this a current - ninja build tool version and python3 setuptools are required. - qemu_mode also got new options like snapshotting, instrumenting specific - shared libraries, etc. Additionally QEMU 5.1 supports more CPU targets so - this is really worth it. + ninja build tool version and python3 setuptools are required. qemu_mode also + got new options like snapshotting, instrumenting specific shared libraries, + etc. Additionally QEMU 5.1 supports more CPU targets so this is really worth + it. * When instrumenting targets, afl-cc will not supersede optimizations anymore if any were given. This allows to fuzz targets build regularly like those for debug or release versions. * afl-fuzz: - * if neither -M or -S is specified, `-S default` is assumed, so more - fuzzers can easily be added later - * `-i` input directory option now descends into subdirectories. It also - does not fatal on crashes and too large files, instead it skips them - and uses them for splicing mutations + * if neither -M or -S is specified, `-S default` is assumed, so more fuzzers + can easily be added later + * `-i` input directory option now descends into subdirectories. It also does + not fatal on crashes and too large files, instead it skips them and uses + them for splicing mutations * -m none is now default, set memory limits (in MB) with, e.g., -m 250 - * deterministic fuzzing is now disabled by default (unless using -M) and - can be enabled with -D + * deterministic fuzzing is now disabled by default (unless using -M) and can + be enabled with -D * a caching of test cases can now be performed and can be modified by editing config.h for TESTCASE_CACHE or by specifying the environment variable `AFL_TESTCACHE_SIZE` (in MB). Good values are between 50-500 diff --git a/docs/rpc_statsd.md b/docs/rpc_statsd.md index 9b3d8d40..003b9c79 100644 --- a/docs/rpc_statsd.md +++ b/docs/rpc_statsd.md @@ -1,18 +1,29 @@ # Remote monitoring and metrics visualization -AFL++ can send out metrics as StatsD messages. For remote monitoring and visualization of the metrics, you can set up a tool chain. For example, with Prometheus and Grafana. All tools are free and open source. +AFL++ can send out metrics as StatsD messages. For remote monitoring and +visualization of the metrics, you can set up a tool chain. For example, with +Prometheus and Grafana. All tools are free and open source. -This enables you to create nice and readable dashboards containing all the information you need on your fuzzer instances. There is no need to write your own statistics parsing system, deploy and maintain it to all your instances, and sync with your graph rendering system. +This enables you to create nice and readable dashboards containing all the +information you need on your fuzzer instances. There is no need to write your +own statistics parsing system, deploy and maintain it to all your instances, and +sync with your graph rendering system. -Compared to the default integrated UI of AFL++, this can help you to visualize trends and the fuzzing state over time. You might be able to see when the fuzzing process has reached a state of no progress and visualize what are the "best strategies" for your targets (according to your own criteria). You can do so without logging into each instance individually. +Compared to the default integrated UI of AFL++, this can help you to visualize +trends and the fuzzing state over time. You might be able to see when the +fuzzing process has reached a state of no progress and visualize what are the +"best strategies" for your targets (according to your own criteria). You can do +so without logging into each instance individually. ![example visualization with Grafana](resources/statsd-grafana.png) -This is an example visualization with Grafana. The dashboard can be imported with [this JSON template](resources/grafana-afl++.json). +This is an example visualization with Grafana. The dashboard can be imported +with [this JSON template](resources/grafana-afl++.json). ## AFL++ metrics and StatsD -StatsD allows you to receive and aggregate metrics from a wide range of applications and retransmit them to a backend of your choice. +StatsD allows you to receive and aggregate metrics from a wide range of +applications and retransmit them to a backend of your choice. From AFL++, StatsD can receive the following metrics: - cur_path @@ -36,35 +47,57 @@ From AFL++, StatsD can receive the following metrics: - var_byte_count - variable_paths -Depending on your StatsD server, you will be able to monitor, trigger alerts, or perform actions based on these metrics (for example: alert on slow exec/s for a new build, threshold of crashes, time since last crash > X, and so on). +Depending on your StatsD server, you will be able to monitor, trigger alerts, or +perform actions based on these metrics (for example: alert on slow exec/s for a +new build, threshold of crashes, time since last crash > X, and so on). ## Setting environment variables in AFL++ -1. To enable the StatsD metrics collection on your fuzzer instances, set the environment variable `AFL_STATSD=1`. By default, AFL++ will send the metrics over UDP to 127.0.0.1:8125. +1. To enable the StatsD metrics collection on your fuzzer instances, set the + environment variable `AFL_STATSD=1`. By default, AFL++ will send the metrics + over UDP to 127.0.0.1:8125. -2. To enable tags for each metric based on their format (banner and afl_version), set the environment variable `AFL_STATSD_TAGS_FLAVOR`. By default, no tags will be added to the metrics. +2. To enable tags for each metric based on their format (banner and + afl_version), set the environment variable `AFL_STATSD_TAGS_FLAVOR`. By + default, no tags will be added to the metrics. The available values are the following: - `dogstatsd` - `influxdb` - `librato` - `signalfx` - - For more information on environment variables, see [env_variables.md](env_variables.md). - Note: When using multiple fuzzer instances with StatsD it is *strongly* recommended to set up `AFL_STATSD_TAGS_FLAVOR` to match your StatsD server. This will allow you to see individual fuzzer performance, detect bad ones, and see the progress of each strategy. + For more information on environment variables, see + [env_variables.md](env_variables.md). -3. Optional: To set the host and port of your StatsD daemon, set `AFL_STATSD_HOST` and `AFL_STATSD_PORT`. The default values are `localhost` and `8125`. + Note: When using multiple fuzzer instances with StatsD it is *strongly* + recommended to set up `AFL_STATSD_TAGS_FLAVOR` to match your StatsD server. + This will allow you to see individual fuzzer performance, detect bad ones, + and see the progress of each strategy. + +3. Optional: To set the host and port of your StatsD daemon, set + `AFL_STATSD_HOST` and `AFL_STATSD_PORT`. The default values are `localhost` + and `8125`. ## Installing and setting up StatsD, Prometheus, and Grafana -The easiest way to install and set up the infrastructure is with Docker and Docker Compose. +The easiest way to install and set up the infrastructure is with Docker and +Docker Compose. -Depending on your fuzzing setup and infrastructure, you may not want to run these applications on your fuzzer instances. This setup may be modified before use in a production environment; for example, adding passwords, creating volumes for storage, tweaking the metrics gathering to get host metrics (CPU, RAM, and so on). +Depending on your fuzzing setup and infrastructure, you may not want to run +these applications on your fuzzer instances. This setup may be modified before +use in a production environment; for example, adding passwords, creating volumes +for storage, tweaking the metrics gathering to get host metrics (CPU, RAM, and +so on). -For all your fuzzing instances, only one instance of Prometheus and Grafana is required. The [statsd exporter](https://registry.hub.docker.com/r/prom/statsd-exporter) converts the StatsD metrics to Prometheus. If you are using a provider that supports StatsD directly, you can skip this part of the setup." +For all your fuzzing instances, only one instance of Prometheus and Grafana is +required. The +[statsd exporter](https://registry.hub.docker.com/r/prom/statsd-exporter) +converts the StatsD metrics to Prometheus. If you are using a provider that +supports StatsD directly, you can skip this part of the setup." -You can create and move the infrastructure files into a directory of your choice. The directory will store all the required configuration files. +You can create and move the infrastructure files into a directory of your +choice. The directory will store all the required configuration files. To install and set up Prometheus and Grafana: @@ -76,6 +109,7 @@ To install and set up Prometheus and Grafana: ``` 2. Create a `docker-compose.yml` containing the following: + ```yml version: '3' @@ -109,7 +143,7 @@ To install and set up Prometheus and Grafana: - "8125:9125/udp" networks: - statsd-net - + grafana: image: grafana/grafana container_name: grafana @@ -134,7 +168,8 @@ To install and set up Prometheus and Grafana: ``` 4. Create a `statsd_mapping.yml` containing the following: - ```yml + + ```yml mappings: - match: "fuzzing.*" name: "fuzzing" @@ -152,4 +187,4 @@ To run your fuzzing instances: AFL_STATSD_TAGS_FLAVOR=dogstatsd AFL_STATSD=1 afl-fuzz -M test-fuzzer-1 -i i -o o [./bin/my-application] @@ AFL_STATSD_TAGS_FLAVOR=dogstatsd AFL_STATSD=1 afl-fuzz -S test-fuzzer-2 -i i -o o [./bin/my-application] @@ ... -``` +``` \ No newline at end of file diff --git a/frida_mode/Scripting.md b/frida_mode/Scripting.md index fd4282db..63ab1718 100644 --- a/frida_mode/Scripting.md +++ b/frida_mode/Scripting.md @@ -334,8 +334,8 @@ Interceptor.replace(LLVMFuzzerTestOneInput, cm.My_LLVMFuzzerTestOneInput); ### Hooking `main` -Lastly, it should be noted that using FRIDA mode's scripting support to hook -the `main` function is a special case. This is because the `main` function is +Lastly, it should be noted that using FRIDA mode's scripting support to hook the +`main` function is a special case. This is because the `main` function is already hooked by the FRIDA mode engine itself and hence the function `main` (or at least the first basic block already been compiled by Stalker ready for execution). Hence any attempt to use `Interceptor.replace` like in the example @@ -405,22 +405,22 @@ Consider the [following](test/js/test2.c) test code... #include const uint32_t crc32_tab[] = { - 0x00000000, 0x77073096, 0xee0e612c, 0x990951ba, 0x076dc419, 0x706af48f, + 0x00000000, 0x77073096, 0xee0e612c, 0x990951ba, 0x076dc419, 0x706af48f, ... - 0xb40bbe37, 0xc30c8ea1, 0x5a05df1b, 0x2d02ef8d + 0xb40bbe37, 0xc30c8ea1, 0x5a05df1b, 0x2d02ef8d }; uint32_t crc32(const void *buf, size_t size) { - const uint8_t *p = buf; - uint32_t crc; - crc = ~0U; - while (size--) - crc = crc32_tab[(crc ^ *p++) & 0xFF] ^ (crc >> 8); - return crc ^ ~0U; + const uint8_t *p = buf; + uint32_t crc; + crc = ~0U; + while (size--) + crc = crc32_tab[(crc ^ *p++) & 0xFF] ^ (crc >> 8); + return crc ^ ~0U; } /* diff --git a/instrumentation/README.gcc_plugin.md b/instrumentation/README.gcc_plugin.md index f251415b..ef38662b 100644 --- a/instrumentation/README.gcc_plugin.md +++ b/instrumentation/README.gcc_plugin.md @@ -1,7 +1,7 @@ # GCC-based instrumentation for afl-fuzz -For the general instruction manual, see [../README.md](../README.md). -For the LLVM-based instrumentation, see [README.llvm.md](README.llvm.md). +For the general instruction manual, see [../README.md](../README.md). For the +LLVM-based instrumentation, see [README.llvm.md](README.llvm.md). This document describes how to build and use `afl-gcc-fast` and `afl-g++-fast`, which instrument the target with the help of gcc plugins. -- cgit 1.4.1 From 667c2e58b24603ca4660d1d5f9d9e9e3ca17b86e Mon Sep 17 00:00:00 2001 From: llzmb <46303940+llzmb@users.noreply.github.com> Date: Sat, 4 Dec 2021 20:41:47 +0100 Subject: Fix punctuation in connection with "by default" --- docs/env_variables.md | 8 ++++---- docs/fuzzing_in_depth.md | 2 +- 2 files changed, 5 insertions(+), 5 deletions(-) (limited to 'docs') diff --git a/docs/env_variables.md b/docs/env_variables.md index 3f7bdadb..530e1342 100644 --- a/docs/env_variables.md +++ b/docs/env_variables.md @@ -607,14 +607,14 @@ the preferred way to configure FRIDA mode is through its * `AFL_FRIDA_INST_NO_BACKPATCH` - Disable backpatching. At the end of executing each block, control will return to FRIDA to identify the next block to execute. -* `AFL_FRIDA_INST_NO_PREFETCH` - Disable prefetching. By default the child will +* `AFL_FRIDA_INST_NO_PREFETCH` - Disable prefetching. By default, the child will report instrumented blocks back to the parent so that it can also instrument them and they be inherited by the next child on fork, implies `AFL_FRIDA_INST_NO_PREFETCH_BACKPATCH`. * `AFL_FRIDA_INST_NO_PREFETCH_BACKPATCH` - Disable prefetching of stalker - backpatching information. By default the child will report applied backpatches - to the parent so that they can be applied and then be inherited by the next - child on fork. + backpatching information. By default, the child will report applied + backpatches to the parent so that they can be applied and then be inherited by + the next child on fork. * `AFL_FRIDA_INST_RANGES` - See `AFL_QEMU_INST_RANGES` * `AFL_FRIDA_INST_SEED` - Sets the initial seed for the hash function used to generate block (and hence edge) IDs. Setting this to a constant value may be diff --git a/docs/fuzzing_in_depth.md b/docs/fuzzing_in_depth.md index 9611d6b7..d1fee7cc 100644 --- a/docs/fuzzing_in_depth.md +++ b/docs/fuzzing_in_depth.md @@ -465,7 +465,7 @@ handling in the target. Play around with various -m values until you find one that safely works for all your input seeds (if you have good ones and then double or quadruple that. -By default afl-fuzz never stops fuzzing. To terminate AFL++, press Control-C or +By default, afl-fuzz never stops fuzzing. To terminate AFL++, press Control-C or send a signal SIGINT. You can limit the number of executions or approximate runtime in seconds with options also. -- cgit 1.4.1 From 8d696c93968a31133ef917810295aaf399b066ff Mon Sep 17 00:00:00 2001 From: llzmb <46303940+llzmb@users.noreply.github.com> Date: Sat, 4 Dec 2021 20:55:37 +0100 Subject: Fix punctuation in connection with "with" --- docs/env_variables.md | 8 ++++---- docs/fuzzing_in_depth.md | 2 +- docs/important_changes.md | 10 +++++----- 3 files changed, 10 insertions(+), 10 deletions(-) (limited to 'docs') diff --git a/docs/env_variables.md b/docs/env_variables.md index 530e1342..86ebf25c 100644 --- a/docs/env_variables.md +++ b/docs/env_variables.md @@ -553,14 +553,14 @@ The QEMU wrapper used to instrument binary-only code supports several settings: and sub in x86 and x86_64. This is an alias of `AFL_COMPCOV_LEVEL=1` when `AFL_COMPCOV_LEVEL` is not specified. - - With `AFL_QEMU_FORCE_DFL` you force QEMU to ignore the registered signal + - With `AFL_QEMU_FORCE_DFL`, you force QEMU to ignore the registered signal handlers of the target. - When the target is i386/x86_64, you can specify the address of the function that has to be the body of the persistent loop using `AFL_QEMU_PERSISTENT_ADDR=start addr`. - - With `AFL_QEMU_PERSISTENT_GPR=1` QEMU will save the original value of + - With `AFL_QEMU_PERSISTENT_GPR=1`, QEMU will save the original value of general purpose registers and restore them in each persistent cycle. - Another modality to execute the persistent loop is to specify also the @@ -568,11 +568,11 @@ The QEMU wrapper used to instrument binary-only code supports several settings: assigned, instead of patching the return address, the specified instruction is transformed to a jump towards `start addr`. - - With `AFL_QEMU_PERSISTENT_RETADDR_OFFSET` you can specify the offset from + - With `AFL_QEMU_PERSISTENT_RETADDR_OFFSET`, you can specify the offset from the stack pointer in which QEMU can find the return address when `start addr` is hit. - - With `AFL_USE_QASAN` you can enable QEMU AddressSanitizer for dynamically + - With `AFL_USE_QASAN`, you can enable QEMU AddressSanitizer for dynamically linked binaries. - The underlying QEMU binary will recognize any standard "user space diff --git a/docs/fuzzing_in_depth.md b/docs/fuzzing_in_depth.md index d1fee7cc..2e030e7b 100644 --- a/docs/fuzzing_in_depth.md +++ b/docs/fuzzing_in_depth.md @@ -449,7 +449,7 @@ mode!) and switch the input directory with a dash (`-`): Adding a dictionary is helpful. See the directory [dictionaries/](../dictionaries/) if something is already included for your data format, and tell afl-fuzz to load that dictionary by adding `-x -dictionaries/FORMAT.dict`. With afl-clang-lto you have an autodictionary +dictionaries/FORMAT.dict`. With afl-clang-lto, you have an autodictionary generation for which you need to do nothing except to use afl-clang-lto as the compiler. You also have the option to generate a dictionary yourself, see [utils/libtokencap/README.md](../utils/libtokencap/README.md). diff --git a/docs/important_changes.md b/docs/important_changes.md index 9d4523e8..203c5a66 100644 --- a/docs/important_changes.md +++ b/docs/important_changes.md @@ -5,26 +5,26 @@ changes. ## From version 3.00 onwards -With AFL++ 3.13-3.20 we introduce frida_mode (-O) to have an alternative for +With AFL++ 3.13-3.20, we introduce frida_mode (-O) to have an alternative for binary-only fuzzing. It is slower than Qemu mode but works on MacOS, Android, iOS etc. -With AFL++ 3.15 we introduced the following changes from previous behaviors: +With AFL++ 3.15, we introduced the following changes from previous behaviors: * Also -M main mode does not do deterministic fuzzing by default anymore * afl-cmin and afl-showmap -Ci now descent into subdirectories like afl-fuzz -i does (but note that afl-cmin.bash does not) -With AFL++ 3.14 we introduced the following changes from previous behaviors: +With AFL++ 3.14, we introduced the following changes from previous behaviors: * afl-fuzz: deterministic fuzzing it not a default for -M main anymore * afl-cmin/afl-showmap -i now descends into subdirectories (afl-cmin.bash, however, does not) -With AFL++ 3.10 we introduced the following changes from previous behaviors: +With AFL++ 3.10, we introduced the following changes from previous behaviors: * The '+' feature of the '-t' option now means to auto-calculate the timeout with the value given being the maximum timeout. The original meaning of "skipping timeouts instead of abort" is now inherent to the -t option. -With AFL++ 3.00 we introduced changes that break some previous AFL and AFL++ +With AFL++ 3.00, we introduced changes that break some previous AFL and AFL++ behaviors and defaults: * There are no llvm_mode and gcc_plugin subdirectories anymore and there is only one compiler: afl-cc. All previous compilers now symlink to this one. -- cgit 1.4.1 From ae59ed8e9e3a3f6ad66446369099977ced8d67b0 Mon Sep 17 00:00:00 2001 From: llzmb <46303940+llzmb@users.noreply.github.com> Date: Sat, 4 Dec 2021 20:59:39 +0100 Subject: Fix typos - 2nd run --- docs/custom_mutators.md | 4 ++-- docs/ideas.md | 4 ++-- 2 files changed, 4 insertions(+), 4 deletions(-) (limited to 'docs') diff --git a/docs/custom_mutators.md b/docs/custom_mutators.md index 2a77db82..0e94ab10 100644 --- a/docs/custom_mutators.md +++ b/docs/custom_mutators.md @@ -1,7 +1,7 @@ # Custom Mutators in AFL++ This file describes how you can implement custom mutations to be used in AFL. -For now, we support C/C++ library and Python module, collectivelly named as the +For now, we support C/C++ library and Python module, collectively named as the custom mutator. There is also experimental support for Rust in `custom_mutators/rust`. For @@ -272,7 +272,7 @@ For C/C++ mutators, the source code must be compiled as a shared object: gcc -shared -Wall -O3 example.c -o example.so ``` Note that if you specify multiple custom mutators, the corresponding functions -will be called in the order in which they are specified. e.g first +will be called in the order in which they are specified. e.g. first `post_process` function of `example_first.so` will be called and then that of `example_second.so`. diff --git a/docs/ideas.md b/docs/ideas.md index 1a578313..52b07c26 100644 --- a/docs/ideas.md +++ b/docs/ideas.md @@ -9,7 +9,7 @@ Currently analysis is done by using afl-plot, which is rather outdated. A GTK or browser tool to create run-time analysis based on fuzzer_stats, queue/id* information and plot_data that allows for zooming in and out, changing min/max display values etc. and doing that for a single run, different runs and -campaigns vs campaigns. Interesting values are execs, and execs/s, edges +campaigns vs. campaigns. Interesting values are execs, and execs/s, edges discovered (total, when each edge was discovered and which other fuzzer share finding that edge), test cases executed. It should be clickable which value is X and Y axis, zoom factor, log scaling on-off, etc. @@ -45,7 +45,7 @@ Mentor: vanhauser-thc Something with machine learning, better than [NEUZZ](https://github.com/dongdongshe/neuzz) :-) Either improve a single -mutator thorugh learning of many different bugs (a bug class) or gather deep +mutator through learning of many different bugs (a bug class) or gather deep insights about a single target beforehand (CFG, DFG, VFG, ...?) and improve performance for a single target. -- cgit 1.4.1 From 6eab6a55af74754cd0229012f1c9543c0c3cb2a7 Mon Sep 17 00:00:00 2001 From: llzmb <46303940+llzmb@users.noreply.github.com> Date: Sat, 4 Dec 2021 21:14:50 +0100 Subject: Fix spelling of "FRIDA mode" and "QEMU mode" --- TODO.md | 2 +- docs/INSTALL.md | 4 ++-- docs/features.md | 8 ++++---- docs/fuzzing_binary-only_targets.md | 35 ++++++++++++++++++----------------- docs/important_changes.md | 8 ++++---- instrumentation/README.llvm.md | 2 +- qemu_mode/libqasan/README.md | 2 +- utils/README.md | 2 +- utils/afl_untracer/README.md | 2 +- utils/aflpp_driver/README.md | 4 ++-- utils/qbdi_mode/README.md | 2 +- 11 files changed, 36 insertions(+), 35 deletions(-) (limited to 'docs') diff --git a/TODO.md b/TODO.md index 04f3abab..e6b095fc 100644 --- a/TODO.md +++ b/TODO.md @@ -16,7 +16,7 @@ ## Further down the road -qemu_mode/frida_mode: +QEMU mode/FRIDA mode: - non colliding instrumentation - rename qemu specific envs to AFL_QEMU (AFL_ENTRYPOINT, AFL_CODE_START/END, AFL_COMPCOV_LEVEL?) diff --git a/docs/INSTALL.md b/docs/INSTALL.md index 08d3283e..9d1309fe 100644 --- a/docs/INSTALL.md +++ b/docs/INSTALL.md @@ -23,7 +23,7 @@ sudo apt-get install -y build-essential python3-dev automake git flex bison libg # try to install llvm 11 and install the distro default if that fails sudo apt-get install -y lld-11 llvm-11 llvm-11-dev clang-11 || sudo apt-get install -y lld llvm llvm-dev clang sudo apt-get install -y gcc-$(gcc --version|head -n1|sed 's/.* //'|sed 's/\..*//')-plugin-dev libstdc++-$(gcc --version|head -n1|sed 's/.* //'|sed 's/\..*//')-dev -sudo apt-get install -y ninja-build # for qemu_mode +sudo apt-get install -y ninja-build # for QEMU mode git clone https://github.com/AFLplusplus/AFLplusplus cd AFLplusplus make distrib @@ -33,7 +33,7 @@ sudo make install It is recommended to install the newest available gcc, clang and llvm-dev possible in your distribution! -Note that "make distrib" also builds instrumentation, qemu_mode, unicorn_mode +Note that "make distrib" also builds instrumentation, QEMU mode, unicorn_mode and more. If you just want plain AFL++, then do "make all". However, compiling and using at least instrumentation is highly recommended for much better results - hence in this case choose: diff --git a/docs/features.md b/docs/features.md index fb688a64..06b1bcbe 100644 --- a/docs/features.md +++ b/docs/features.md @@ -4,7 +4,7 @@ AFL++ supports llvm from 3.8 up to version 12, very fast binary fuzzing with QEMU 5.1 with laf-intel and redqueen, frida mode, unicorn mode, gcc plugin, full *BSD, Mac OS, Solaris and Android support and much, much, much more. -| Feature/Instrumentation | afl-gcc | llvm | gcc_plugin | frida_mode(9) | qemu_mode(10) |unicorn_mode(10) |coresight_mode(11)| +| Feature/Instrumentation | afl-gcc | llvm | gcc_plugin | FRIDA mode(9) | QEMU mode(10) |unicorn_mode(10) |coresight_mode(11)| | -------------------------|:-------:|:---------:|:----------:|:----------------:|:----------------:|:----------------:|:----------------:| | Threadsafe counters | | x(3) | | | | | | | NeverZero | x86[_64]| x(1) | x | x | x | x | | @@ -37,9 +37,9 @@ QEMU 5.1 with laf-intel and redqueen, frida mode, unicorn mode, gcc plugin, full Among others, the following features and patches have been integrated: -* NeverZero patch for afl-gcc, instrumentation, qemu_mode and unicorn_mode which +* NeverZero patch for afl-gcc, instrumentation, QEMU mode and unicorn_mode which prevents a wrapping map value to zero, increases coverage -* Persistent mode, deferred forkserver and in-memory fuzzing for qemu_mode +* Persistent mode, deferred forkserver and in-memory fuzzing for QEMU mode * Unicorn mode which allows fuzzing of binaries from completely different platforms (integration provided by domenukk) * The new CmpLog instrumentation for LLVM and QEMU inspired by @@ -51,7 +51,7 @@ Among others, the following features and patches have been integrated: [https://github.com/puppet-meteor/MOpt-AFL](https://github.com/puppet-meteor/MOpt-AFL) * LLVM mode Ngram coverage by Adrian Herrera [https://github.com/adrianherrera/afl-ngram-pass](https://github.com/adrianherrera/afl-ngram-pass) -* LAF-Intel/CompCov support for instrumentation, qemu_mode and unicorn_mode +* LAF-Intel/CompCov support for instrumentation, QEMU mode and unicorn_mode (with enhanced capabilities) * Radamsa and honggfuzz mutators (as custom mutators). * QBDI mode to fuzz android native libraries via Quarkslab's diff --git a/docs/fuzzing_binary-only_targets.md b/docs/fuzzing_binary-only_targets.md index b3d9ca02..15155111 100644 --- a/docs/fuzzing_binary-only_targets.md +++ b/docs/fuzzing_binary-only_targets.md @@ -12,18 +12,18 @@ fuzzed with AFL++. ## TL;DR: -Qemu_mode in persistent mode is the fastest - if the stability is high enough. +QEMU mode in persistent mode is the fastest - if the stability is high enough. Otherwise, try RetroWrite, Dyninst, and if these fail, too, then try standard -qemu_mode with AFL_ENTRYPOINT to where you need it. +QEMU mode with `AFL_ENTRYPOINT` to where you need it. -If your target is a library, then use frida_mode. +If your target is a library, then use FRIDA mode. If your target is non-linux, then use unicorn_mode. ## Fuzzing binary-only targets with AFL++ -### Qemu_mode +### QEMU mode -Qemu_mode is the "native" solution to the program. It is available in the +QEMU mode is the "native" solution to the program. It is available in the ./qemu_mode/ directory and, once compiled, it can be accessed by the afl-fuzz -Q command line option. It is the easiest to use alternative and even works for cross-platform binaries. @@ -37,11 +37,12 @@ cd qemu_mode ./build_qemu_support.sh ``` -The following setup to use qemu_mode is recommended: +The following setup to use QEMU mode is recommended: + * run 1 afl-fuzz -Q instance with CMPLOG (`-c 0` + `AFL_COMPCOV_LEVEL=2`) * run 1 afl-fuzz -Q instance with QASAN (`AFL_USE_QASAN=1`) * run 1 afl-fuzz -Q instance with LAF (`AFL_PRELOAD=libcmpcov.so` + - `AFL_COMPCOV_LEVEL=2`), alternatively you can use frida_mode, just switch `-Q` + `AFL_COMPCOV_LEVEL=2`), alternatively you can use FRIDA mode, just switch `-Q` with `-O` and remove the LAF instance Then run as many instances as you have cores left with either -Q mode or - even @@ -49,16 +50,16 @@ better - use a binary rewriter like Dyninst, RetroWrite, ZAFL, etc. If [afl-dyninst](https://github.com/vanhauser-thc/afl-dyninst) works for your binary, then you can use afl-fuzz normally and it will have twice the speed -compared to qemu_mode (but slower than qemu persistent mode). Note that several +compared to QEMU mode (but slower than QEMU persistent mode). Note that several other binary rewriters exist, all with their advantages and caveats. -The speed decrease of qemu_mode is at about 50%. However, various options exist +The speed decrease of QEMU mode is at about 50%. However, various options exist to increase the speed: - using AFL_ENTRYPOINT to move the forkserver entry to a later basic block in the binary (+5-10% speed) - using persistent mode [qemu_mode/README.persistent.md](../qemu_mode/README.persistent.md) this will - result in a 150-300% overall speed increase - so 3-8x the original qemu_mode + result in a 150-300% overall speed increase - so 3-8x the original QEMU mode speed! - using AFL_CODE_START/AFL_CODE_END to only instrument specific parts @@ -71,7 +72,7 @@ conducive to parallelization. Note that there is also honggfuzz: [https://github.com/google/honggfuzz](https://github.com/google/honggfuzz) which -now has a qemu_mode, but its performance is just 1.5% ... +now has a QEMU mode, but its performance is just 1.5% ... If you like to code a customized fuzzer without much work, we highly recommend to check out our sister project libafl which supports QEMU, too: @@ -87,14 +88,14 @@ It is included in AFL++. For more information, see [qemu_mode/README.wine.md](../qemu_mode/README.wine.md). -### Frida_mode +### FRIDA mode -In frida_mode, you can fuzz binary-only targets as easily as with QEMU. -Frida_mode is sometimes faster and sometimes slower than Qemu_mode. It is also +In FRIDA mode, you can fuzz binary-only targets as easily as with QEMU mode. +FRIDA mode is sometimes faster and sometimes slower than QEMU mode. It is also newer, lacks COMPCOV, and has the advantage that it works on MacOS (both intel and M1). -To build frida_mode: +To build FRIDA mode: ```shell cd frida_mode @@ -149,11 +150,11 @@ For further information, check out If the goal is to fuzz a dynamic library, then there are two options available. For both, you need to write a small harness that loads and calls the library. -Then you fuzz this with either frida_mode or qemu_mode and either use +Then you fuzz this with either FRIDA mode or QEMU mode and either use `AFL_INST_LIBS=1` or `AFL_QEMU/FRIDA_INST_RANGES`. Another, less precise and slower option is to fuzz it with utils/afl_untracer/ -and use afl-untracer.c as a template. It is slower than frida_mode. +and use afl-untracer.c as a template. It is slower than FRIDA mode. For more information, see [utils/afl_untracer/README.md](../utils/afl_untracer/README.md). diff --git a/docs/important_changes.md b/docs/important_changes.md index 203c5a66..d5e67f75 100644 --- a/docs/important_changes.md +++ b/docs/important_changes.md @@ -5,8 +5,8 @@ changes. ## From version 3.00 onwards -With AFL++ 3.13-3.20, we introduce frida_mode (-O) to have an alternative for -binary-only fuzzing. It is slower than Qemu mode but works on MacOS, Android, +With AFL++ 3.13-3.20, we introduce FRIDA mode (`-O`) to have an alternative for +binary-only fuzzing. It is slower than QEMU mode but works on MacOS, Android, iOS etc. With AFL++ 3.15, we introduced the following changes from previous behaviors: @@ -31,8 +31,8 @@ behaviors and defaults: All instrumentation source code is now in the `instrumentation/` folder. * The gcc_plugin was replaced with a new version submitted by AdaCore that supports more features. Thank you! - * qemu_mode got upgraded to QEMU 5.1, but to be able to build this a current - ninja build tool version and python3 setuptools are required. qemu_mode also + * QEMU mode got upgraded to QEMU 5.1, but to be able to build this a current + ninja build tool version and python3 setuptools are required. QEMU mode also got new options like snapshotting, instrumenting specific shared libraries, etc. Additionally QEMU 5.1 supports more CPU targets so this is really worth it. diff --git a/instrumentation/README.llvm.md b/instrumentation/README.llvm.md index c93cd312..fa025643 100644 --- a/instrumentation/README.llvm.md +++ b/instrumentation/README.llvm.md @@ -218,7 +218,7 @@ by Jinghan Wang, et. al. Note that the original implementation (available [here](https://github.com/bitsecurerlab/afl-sensitive)) is built on top of AFL's -qemu_mode. This is essentially a port that uses LLVM vectorized instructions +QEMU mode. This is essentially a port that uses LLVM vectorized instructions (available from llvm versions 4.0.1 and higher) to achieve the same results when compiling source code. diff --git a/qemu_mode/libqasan/README.md b/qemu_mode/libqasan/README.md index 6a65c12b..41195933 100644 --- a/qemu_mode/libqasan/README.md +++ b/qemu_mode/libqasan/README.md @@ -9,7 +9,7 @@ and this runtime is injected via LD_PRELOAD (so works just for dynamically linked binaries). The usage is super simple, just set the env var `AFL_USE_QASAN=1` when fuzzing -in qemu mode (-Q). afl-fuzz will automatically set AFL_PRELOAD to load this +in QEMU mode (-Q). afl-fuzz will automatically set AFL_PRELOAD to load this library and enable the QASan instrumentation in afl-qemu-trace. For debugging purposes, we still suggest to run the original QASan as the diff --git a/utils/README.md b/utils/README.md index b7eead8e..5f5745b9 100644 --- a/utils/README.md +++ b/utils/README.md @@ -16,7 +16,7 @@ Here's a quick overview of the stuff you can find in this directory: different means, e.g., hw debugger - afl_untracer - fuzz binary-only libraries much faster but with - less coverage than qemu_mode + less coverage than QEMU mode - analysis_scripts - random -o out analysis scripts diff --git a/utils/afl_untracer/README.md b/utils/afl_untracer/README.md index 9f41618f..3fff5f83 100644 --- a/utils/afl_untracer/README.md +++ b/utils/afl_untracer/README.md @@ -5,7 +5,7 @@ afl-untracer is an example skeleton file which can easily be used to fuzz a closed source library. -It requires less memory and is x3-5 faster than qemu_mode, however, it is way +It requires less memory and is x3-5 faster than QEMU mode, however, it is way more course grained and does not provide interesting features like compcov or cmplog. diff --git a/utils/aflpp_driver/README.md b/utils/aflpp_driver/README.md index d534cd7f..8b9fe15f 100644 --- a/utils/aflpp_driver/README.md +++ b/utils/aflpp_driver/README.md @@ -22,10 +22,10 @@ or `@@` as command line parameters. ## aflpp_qemu_driver -Note that you can use the driver too for frida_mode (`-O`). +Note that you can use the driver too for FRIDA mode (`-O`). aflpp_qemu_driver is used for libfuzzer `LLVMFuzzerTestOneInput()` targets that -are to be fuzzed in qemu_mode. So compile them with clang/clang++, without +are to be fuzzed in QEMU mode. So compile them with clang/clang++, without -fsantize=fuzzer or afl-clang-fast, and link in libAFLQemuDriver.a: `clang++ -o fuzz fuzzer_harness.cc libAFLQemuDriver.a [plus required linking]`. diff --git a/utils/qbdi_mode/README.md b/utils/qbdi_mode/README.md index c8d46fca..02dd3c74 100755 --- a/utils/qbdi_mode/README.md +++ b/utils/qbdi_mode/README.md @@ -2,7 +2,7 @@ NOTE: this code is outdated and first would need to be adapted to the current AFL++ versions. -Try frida_mode or fpicker [https://github.com/ttdennis/fpicker/](https://github.com/ttdennis/fpicker/) first, maybe they suite your need. +Try FRIDA mode or fpicker [https://github.com/ttdennis/fpicker/](https://github.com/ttdennis/fpicker/) first, maybe they suite your need. ## 1) Introduction -- cgit 1.4.1 From 415be06c54a61ae87fd8a99da2ee12d1ea5d1638 Mon Sep 17 00:00:00 2001 From: llzmb <46303940+llzmb@users.noreply.github.com> Date: Sat, 4 Dec 2021 21:29:15 +0100 Subject: Add links to orphaned files --- README.md | 3 ++- docs/afl-fuzz_approach.md | 1 + 2 files changed, 3 insertions(+), 1 deletion(-) (limited to 'docs') diff --git a/README.md b/README.md index b70eb1ab..21724696 100644 --- a/README.md +++ b/README.md @@ -31,7 +31,8 @@ Here is some information to get you started: * For releases, see the [Releases tab](https://github.com/AFLplusplus/AFLplusplus/releases) and [branches](#branches). Also take a look at the list of - [important changes in AFL++](docs/important_changes.md). + [important changes in AFL++](docs/important_changes.md) and the list of + [features](docs/features.md). * If you want to use AFL++ for your academic work, check the [papers page](https://aflplus.plus/papers/) on the website. * To cite our work, look at the [Cite](#cite) section. diff --git a/docs/afl-fuzz_approach.md b/docs/afl-fuzz_approach.md index 3804f5a0..a72087c2 100644 --- a/docs/afl-fuzz_approach.md +++ b/docs/afl-fuzz_approach.md @@ -466,6 +466,7 @@ cd ../../ sudo make install ``` +To learn more about remote monitoring and metrics visualization with StatsD, see [rpc_statsd.md](rpc_statsd.md). ### Addendum: status and plot files -- cgit 1.4.1 From 3506077fd6f250f3c080b58ea3bae117c3b122da Mon Sep 17 00:00:00 2001 From: llzmb <46303940+llzmb@users.noreply.github.com> Date: Sat, 4 Dec 2021 22:28:05 +0100 Subject: Add missing blank lines and remove double blank lines --- custom_mutators/README.md | 1 + custom_mutators/gramatron/README.md | 1 + custom_mutators/libfuzzer/README.md | 4 +++- docs/custom_mutators.md | 8 +++++++- docs/fuzzing_binary-only_targets.md | 3 ++- docs/fuzzing_in_depth.md | 1 - frida_mode/README.md | 1 + unicorn_mode/README.md | 1 - unicorn_mode/samples/c/COMPILE.md | 1 + unicorn_mode/samples/speedtest/README.md | 13 ++++++++++--- utils/afl_untracer/README.md | 8 +++++++- utils/autodict_ql/readme.md | 17 ++++++++++------- utils/qbdi_mode/README.md | 8 ++++---- utils/qemu_persistent_hook/README.md | 2 +- 14 files changed, 48 insertions(+), 21 deletions(-) (limited to 'docs') diff --git a/custom_mutators/README.md b/custom_mutators/README.md index fa877f34..0289e150 100644 --- a/custom_mutators/README.md +++ b/custom_mutators/README.md @@ -15,6 +15,7 @@ In `./rust`, you will find rust bindings, including a simple example in `./rust/ If you use git to clone AFL++, then the following will incorporate our excellent grammar custom mutator: + ```sh git submodule update --init ``` diff --git a/custom_mutators/gramatron/README.md b/custom_mutators/gramatron/README.md index 2ed014cd..5e10f97b 100644 --- a/custom_mutators/gramatron/README.md +++ b/custom_mutators/gramatron/README.md @@ -34,6 +34,7 @@ afl-fuzz -i in -o out -- ./target E.g., ./preprocess/prep_automaton.sh ~/grammars/ruby/source.json PROGRAM ``` + - If the grammar has no self-embedding rules then you do not need to pass the stack limit parameter. However, if it does have self-embedding rules then you need to pass the stack limit parameter. We recommend starting with `5` and diff --git a/custom_mutators/libfuzzer/README.md b/custom_mutators/libfuzzer/README.md index fb3025f2..cb4773b7 100644 --- a/custom_mutators/libfuzzer/README.md +++ b/custom_mutators/libfuzzer/README.md @@ -11,9 +11,11 @@ Note that this is currently a simple implementation and it is missing two featur * Dictionary support To update the source, all that is needed is that FuzzerDriver.cpp has to receive + ``` #include "libfuzzer.inc" ``` + before the closing namespace bracket. It is also libfuzzer.inc where the configuration of the libfuzzer mutations @@ -21,4 +23,4 @@ are done. > Original repository: https://github.com/llvm/llvm-project > Path: compiler-rt/lib/fuzzer/*.{h|cpp} -> Source commit: df3e903655e2499968fc7af64fb5fa52b2ee79bb +> Source commit: df3e903655e2499968fc7af64fb5fa52b2ee79bb \ No newline at end of file diff --git a/docs/custom_mutators.md b/docs/custom_mutators.md index 0e94ab10..2f632e1f 100644 --- a/docs/custom_mutators.md +++ b/docs/custom_mutators.md @@ -23,6 +23,7 @@ The custom mutator is passed to `afl-fuzz` via the `AFL_CUSTOM_MUTATOR_LIBRARY` or `AFL_PYTHON_MODULE` environment variable, and must export a fuzz function. Now AFL++ also supports multiple custom mutators which can be specified in the same `AFL_CUSTOM_MUTATOR_LIBRARY` environment variable like this. + ```bash export AFL_CUSTOM_MUTATOR_LIBRARY="full/path/to/mutator_first.so;full/path/to/mutator_second.so" ``` @@ -38,6 +39,7 @@ performed with the custom mutator. ## 2) APIs C/C++: + ```c void *afl_custom_init(afl_state_t *afl, unsigned int seed); unsigned int afl_custom_fuzz_count(void *data, const unsigned char *buf, size_t buf_size); @@ -56,6 +58,7 @@ void afl_custom_deinit(void *data); ``` Python: + ```python def init(seed): pass @@ -233,7 +236,6 @@ Optionally, the following environment variables are supported: combined with a custom trimming routine (see below) because trimming can cause the same test breakage like havoc and splice. - - `AFL_PYTHON_ONLY` Deprecated and removed, use `AFL_CUSTOM_MUTATOR_ONLY` instead. @@ -268,9 +270,11 @@ In case your setup is different, set the necessary variables like this: ### Custom Mutator Preparation For C/C++ mutators, the source code must be compiled as a shared object: + ```bash gcc -shared -Wall -O3 example.c -o example.so ``` + Note that if you specify multiple custom mutators, the corresponding functions will be called in the order in which they are specified. e.g. first `post_process` function of `example_first.so` will be called and then that of @@ -279,12 +283,14 @@ will be called in the order in which they are specified. e.g. first ### Run C/C++ + ```bash export AFL_CUSTOM_MUTATOR_LIBRARY="/full/path/to/example_first.so;/full/path/to/example_second.so" afl-fuzz /path/to/program ``` Python + ```bash export PYTHONPATH=`dirname /full/path/to/example.py` export AFL_PYTHON_MODULE=example diff --git a/docs/fuzzing_binary-only_targets.md b/docs/fuzzing_binary-only_targets.md index 15155111..eaed3a91 100644 --- a/docs/fuzzing_binary-only_targets.md +++ b/docs/fuzzing_binary-only_targets.md @@ -21,6 +21,7 @@ If your target is a library, then use FRIDA mode. If your target is non-linux, then use unicorn_mode. ## Fuzzing binary-only targets with AFL++ + ### QEMU mode QEMU mode is the "native" solution to the program. It is available in the @@ -175,6 +176,7 @@ An alternative solution are binary rewriters. They are faster then the solutions native to AFL++ but don't always work. ### ZAFL + ZAFL is a static rewriting platform supporting x86-64 C/C++, stripped/unstripped, and PIE/non-PIE binaries. Beyond conventional instrumentation, ZAFL's API enables transformation passes (e.g., laf-Intel, @@ -277,7 +279,6 @@ There are many binary-only fuzzing frameworks. Some are great for CTFs but don't work with large binaries, others are very slow but have good path discovery, some are very hard to set-up... - * Jackalope: [https://github.com/googleprojectzero/Jackalope](https://github.com/googleprojectzero/Jackalope) * Manticore: diff --git a/docs/fuzzing_in_depth.md b/docs/fuzzing_in_depth.md index 2e030e7b..4a1ddf45 100644 --- a/docs/fuzzing_in_depth.md +++ b/docs/fuzzing_in_depth.md @@ -808,7 +808,6 @@ then color-codes the input based on which sections appear to be critical, and which are not; while not bulletproof, it can often offer quick insights into complex file formats. - ## 5. CI fuzzing Some notes on CI fuzzing - this fuzzing is different to normal fuzzing campaigns diff --git a/frida_mode/README.md b/frida_mode/README.md index e88bda8d..08f6b891 100644 --- a/frida_mode/README.md +++ b/frida_mode/README.md @@ -141,6 +141,7 @@ instances run CMPLOG mode and instrumentation of the binary is less frequent (only on CMP, SUB and CALL instructions) performance is not quite so critical. ## Advanced configuration options + * `AFL_FRIDA_DRIVER_NO_HOOK` - See `AFL_QEMU_DRIVER_NO_HOOK`. When using the QEMU driver to provide a `main` loop for a user provided `LLVMFuzzerTestOneInput`, this option configures the driver to read input from diff --git a/unicorn_mode/README.md b/unicorn_mode/README.md index 4c95e8f3..ee4a7b22 100644 --- a/unicorn_mode/README.md +++ b/unicorn_mode/README.md @@ -83,7 +83,6 @@ uses slightly older concepts, but describes the general ideas, at: [https://medium.com/@njvoss299/afl-unicorn-fuzzing-arbitrary-binary-code-563ca28936bf](https://medium.com/@njvoss299/afl-unicorn-fuzzing-arbitrary-binary-code-563ca28936bf) - The ['helper_scripts'](./helper_scripts) directory also contains several helper scripts that allow you to dump context from a running process, load it, and hook heap allocations. For details on how to use this check out the follow-up blog post to the one linked above. diff --git a/unicorn_mode/samples/c/COMPILE.md b/unicorn_mode/samples/c/COMPILE.md index 4e3cf568..e5265071 100644 --- a/unicorn_mode/samples/c/COMPILE.md +++ b/unicorn_mode/samples/c/COMPILE.md @@ -6,6 +6,7 @@ This shows a simple harness for unicornafl in C The target can be built using the `make` command. Just make sure you have built unicorn support first: + ```bash cd /path/to/afl/unicorn_mode ./build_unicorn_support.sh diff --git a/unicorn_mode/samples/speedtest/README.md b/unicorn_mode/samples/speedtest/README.md index 496d75cd..bd5ba8d0 100644 --- a/unicorn_mode/samples/speedtest/README.md +++ b/unicorn_mode/samples/speedtest/README.md @@ -35,7 +35,6 @@ cd python TODO: add results here. - ## Compiling speedtest_target.c You shouldn't need to compile simple_target.c since a X86_64 binary version is @@ -46,20 +45,28 @@ The pre-built binary (simple_target_x86_64.bin) was built using -g -O0 in gcc. Then load the binary and execute the main function directly. -## Addresses for the harness: +## Addresses for the harness + To find the address (in hex) of main, run: + ```bash objdump -M intel -D target | grep '
:' | cut -d" " -f1 ``` + To find all call sites to magicfn, run: + ```bash objdump -M intel -D target | grep '$' | cut -d":" -f1 ``` + For malloc callsites: + ```bash objdump -M intel -D target | grep '$' | cut -d":" -f1 ``` + And free callsites: + ```bash objdump -M intel -D target | grep '$' | cut -d":" -f1 -``` +``` \ No newline at end of file diff --git a/utils/afl_untracer/README.md b/utils/afl_untracer/README.md index 3fff5f83..cd87998b 100644 --- a/utils/afl_untracer/README.md +++ b/utils/afl_untracer/README.md @@ -28,28 +28,34 @@ To generate the `patches.txt` file for your target library use the The patches.txt file has to be pointed to by `AFL_UNTRACER_FILE`. To easily run the scripts without needing to run the GUI with Ghidra: + ``` /opt/ghidra/support/analyzeHeadless /tmp/ tmp$$ -import libtestinstr.so -postscript ./ghidra_get_patchpoints.java rm -rf /tmp/tmp$$ ``` + The file is created at `~/Desktop/patches.txt` ### Fuzzing Example (after modifying afl-untracer.c to your needs, compiling and creating patches.txt): + ``` LD_LIBRARY_PATH=/path/to/target/library AFL_UNTRACER_FILE=./patches.txt afl-fuzz -i in -o out -- ./afl-untracer ``` + (or even remote via afl-network-proxy). ### Testing and debugging For testing/debugging you can try: + ``` make DEBUG=1 AFL_UNTRACER_FILE=./patches.txt AFL_DEBUG=1 gdb ./afl-untracer ``` + and then you can easily set breakpoints to "breakpoint" and "fuzz". # Background @@ -57,4 +63,4 @@ and then you can easily set breakpoints to "breakpoint" and "fuzz". This idea is based on [UnTracer](https://github.com/FoRTE-Research/UnTracer-AFL) and modified by [Trapfuzz](https://github.com/googleprojectzero/p0tools/tree/master/TrapFuzz). This implementation is slower because the traps are not patched out with each -run, but on the other hand gives much better coverage information. +run, but on the other hand gives much better coverage information. \ No newline at end of file diff --git a/utils/autodict_ql/readme.md b/utils/autodict_ql/readme.md index 491ec85b..789cd152 100644 --- a/utils/autodict_ql/readme.md +++ b/utils/autodict_ql/readme.md @@ -6,12 +6,12 @@ Tokens are useful when you perform fuzzing on different parsers. The AFL++ `-x` switch enables the usage of dictionaries through your fuzzing campaign. If you are not familiar with Dictionaries in fuzzing, take a look [here](https://github.com/AFLplusplus/AFLplusplus/tree/stable/dictionaries) . - ## Why CodeQL ? -We basically developed this plugin on top of the CodeQL engine because it gives the user scripting features, it's easier and it's independent of the LLVM system. This means that a user can write his CodeQL scripts or modify the current scripts to improve or change the token generation algorithms based on different program analysis concepts. +We basically developed this plugin on top of the CodeQL engine because it gives the user scripting features, it's easier and it's independent of the LLVM system. This means that a user can write his CodeQL scripts or modify the current scripts to improve or change the token generation algorithms based on different program analysis concepts. ## CodeQL scripts + Currently, we pushed some scripts as defaults for Token generation. In addition, we provide every CodeQL script as an standalone script because it's easier to modify or test. Currently we provided the following CodeQL scripts : @@ -28,23 +28,26 @@ Currently we provided the following CodeQL scripts : You can write other CodeQL scripts to extract possible effective tokens if you think they can be useful. - ## Usage -Before you proceed to installation make sure that you have the following packages by installing them : +Before you proceed to installation make sure that you have the following packages by installing them: + ```shell sudo apt install build-essential libtool-bin python3-dev python3 automake git vim wget -y ``` + The usage of Autodict-QL is pretty easy. But let's describe it as: 1. First of all, you need to have CodeQL installed on the system. We make this possible with `build-codeql.sh` bash script. This script will install CodeQL completety and will set the required environment variables for your system. -Do the following : +Do the following: + ```shell # chmod +x codeql-build.sh # ./codeql-build.sh # source ~/.bashrc # codeql ``` + Then you should get: ```shell @@ -86,8 +89,8 @@ Commands: - This will create the final `tokens` dir for you and you are done, then pass the tokens path to AFL++'s `-x` flag. 5. Done! - ## More on dictionaries and tokens + Core developer of the AFL++ project Marc Heuse also developed a similar tool named `dict2file` which is a LLVM pass which can automatically extract useful tokens, in addition with LTO instrumentation mode, this dict2file is automatically generates token extraction. `Autodict-QL` plugin gives you scripting capability and you can do whatever you want to extract from the Codebase and it's up to you. In addition it's independent from LLVM system. On the other hand, you can also use Google dictionaries which have been made public in May 2020, but the problem of using Google dictionaries is that they are limited to specific file formats and specifications. For example, for testing binutils and ELF file format or AVI in FFMPEG, there are no pre-built dictionaries, so it is highly recommended to use `Autodict-QL` or `Dict2File` features to automatically generate dictionaries based on the target. @@ -97,4 +100,4 @@ In overall, fuzzing with dictionaries and well-generated tokens will give better There are 2 important points to remember : - If you combine `Autodict-QL` with AFL++ cmplog, you will get much better code coverage and hence better chances to discover new bugs. -- Do not forget to set `AFL_MAX_DET_EXTRAS` at least to the number of generated dictionaries. If you forget to set this environment variable, then AFL++ uses just 200 tokens and use the rest of them only probabilistically. So this will guarantee that your tokens will be used by AFL++. +- Do not forget to set `AFL_MAX_DET_EXTRAS` at least to the number of generated dictionaries. If you forget to set this environment variable, then AFL++ uses just 200 tokens and use the rest of them only probabilistically. So this will guarantee that your tokens will be used by AFL++. \ No newline at end of file diff --git a/utils/qbdi_mode/README.md b/utils/qbdi_mode/README.md index 02dd3c74..08558017 100755 --- a/utils/qbdi_mode/README.md +++ b/utils/qbdi_mode/README.md @@ -9,7 +9,6 @@ Try FRIDA mode or fpicker [https://github.com/ttdennis/fpicker/](https://github. The code in ./qbdi_mode allows you to build a standalone feature that using the QBDI framework to fuzz android native library. - ## 2) Build First download the Android NDK @@ -53,6 +52,7 @@ https://qbdi.quarkslab.com/ ``` For Android x86_64 + ``` https://github.com/QBDI/QBDI/releases/download/v0.7.0/QBDI-0.7.0-android-X86_64.tar.gz ``` @@ -86,7 +86,6 @@ Then run the build.sh this could build the afl-fuzz and also the qbdi template for android x86_64 - ### Example The demo-so.c is an vulnerable library, it has a function for test @@ -160,6 +159,7 @@ QBDI_NOINLINE int fuzz_func() { ``` Just compile it + ``` ./build.sh x86_64 ``` @@ -176,6 +176,7 @@ adb push ../../android-standalone-toolchain-x86_64/sysroot/usr/lib/x86_64-linux- ``` In android adb shell, run the loader to test if it runs + ``` cd /data/local/tmp export LD_LIBRARY_PATH=/data/local/tmp @@ -202,5 +203,4 @@ Now run `afl-fuzz` to fuzz the demo library ./afl-fuzz -i in -o out -- ./loader /data/local/tmp/libdemo.so @@ ``` -![screen1](assets/screen1.png) - +![screen1](assets/screen1.png) \ No newline at end of file diff --git a/utils/qemu_persistent_hook/README.md b/utils/qemu_persistent_hook/README.md index 3f908c22..3bbaef6b 100644 --- a/utils/qemu_persistent_hook/README.md +++ b/utils/qemu_persistent_hook/README.md @@ -16,4 +16,4 @@ mkdir in echo 0000 > in/in ../../afl-fuzz -Q -i in -o out -- ./test -``` +``` \ No newline at end of file -- cgit 1.4.1 From 89df436290c67b1c03122bfe5c68cf4f92e581c0 Mon Sep 17 00:00:00 2001 From: llzmb <46303940+llzmb@users.noreply.github.com> Date: Sun, 5 Dec 2021 19:03:48 +0100 Subject: Fix broken links - 1st run --- docs/INSTALL.md | 9 ++++---- docs/afl-fuzz_approach.md | 14 ++++++------ docs/env_variables.md | 11 +++++----- docs/fuzzing_binary-only_targets.md | 8 +++---- docs/fuzzing_in_depth.md | 9 ++++---- frida_mode/Scripting.md | 4 ++-- instrumentation/README.llvm.md | 43 ++++++++++++++++++++++++++++++++++++- utils/README.md | 2 +- 8 files changed, 72 insertions(+), 28 deletions(-) (limited to 'docs') diff --git a/docs/INSTALL.md b/docs/INSTALL.md index 9d1309fe..906d3f8e 100644 --- a/docs/INSTALL.md +++ b/docs/INSTALL.md @@ -60,10 +60,9 @@ These build targets exist: * unit: perform unit tests (based on cmocka) * help: shows these build options -[Unless you are on Mac OS -X](https://developer.apple.com/library/archive/qa/qa1118/_index.html), you can -also build statically linked versions of the AFL++ binaries by passing the -`STATIC=1` argument to make: +[Unless you are on Mac OS X](https://developer.apple.com/library/archive/qa/qa1118/_index.html), +you can also build statically linked versions of the AFL++ binaries by passing +the `STATIC=1` argument to make: ```shell make STATIC=1 @@ -169,5 +168,5 @@ sysctl kern.sysv.shmall=98304 ``` See -[https://www.spy-hill.com/help/apple/SharedMemory.html](https://www.spy-hill.com/help/apple/SharedMemory.html) +[http://www.spy-hill.com/help/apple/SharedMemory.html](http://www.spy-hill.com/help/apple/SharedMemory.html) for documentation for these settings and how to make them permanent. \ No newline at end of file diff --git a/docs/afl-fuzz_approach.md b/docs/afl-fuzz_approach.md index a72087c2..01888935 100644 --- a/docs/afl-fuzz_approach.md +++ b/docs/afl-fuzz_approach.md @@ -243,9 +243,10 @@ now. It tells you about the current stage, which can be any of: together two random inputs from the queue at some arbitrarily selected midpoint. - sync - a stage used only when `-M` or `-S` is set (see - [parallel_fuzzing.md](parallel_fuzzing.md)). No real fuzzing is involved, but - the tool scans the output from other fuzzers and imports test cases as - necessary. The first time this is done, it may take several minutes or so. + [fuzzing_in_depth.md:3c) Using multiple cores](fuzzing_in_depth.md#c-using-multiple-cores)). + No real fuzzing is involved, but the tool scans the output from other fuzzers + and imports test cases as necessary. The first time this is done, it may take + several minutes or so. The remaining fields should be fairly self-evident: there's the exec count progress indicator for the current stage, a global exec counter, and a benchmark @@ -254,8 +255,8 @@ to another, but the benchmark should be ideally over 500 execs/sec most of the time - and if it stays below 100, the job will probably take very long. The fuzzer will explicitly warn you about slow targets, too. If this happens, -see the [perf_tips.md](perf_tips.md) file included with the fuzzer for ideas on -how to speed things up. +see the [best_practices.md#improving-speed](best_practices.md#improving-speed) +for ideas on how to speed things up. ### Findings in depth @@ -396,7 +397,8 @@ comparing it to the number of logical cores on the system. If the value is shown in green, you are using fewer CPU cores than available on your system and can probably parallelize to improve performance; for tips on how -to do that, see [parallel_fuzzing.md](parallel_fuzzing.md). +to do that, see +[fuzzing_in_depth.md:3c) Using multiple cores](fuzzing_in_depth.md#c-using-multiple-cores). If the value is shown in red, your CPU is *possibly* oversubscribed, and running additional fuzzers may not give you any benefits. diff --git a/docs/env_variables.md b/docs/env_variables.md index 86ebf25c..0952b960 100644 --- a/docs/env_variables.md +++ b/docs/env_variables.md @@ -583,10 +583,11 @@ The QEMU wrapper used to instrument binary-only code supports several settings: The FRIDA wrapper used to instrument binary-only code supports many of the same options as `afl-qemu-trace`, but also has a number of additional advanced -options. These are listed in brief below (see [here](../frida_mode/README.md) -for more details). These settings are provided for compatibiltiy with QEMU mode, -the preferred way to configure FRIDA mode is through its -[scripting](../frida_mode/Scripting.md) support. +options. These are listed in brief below (see +[frida_mode/README.md](../frida_mode/README.md) for more details). These +settings are provided for compatibiltiy with QEMU mode, the preferred way to +configure FRIDA mode is through its [scripting](../frida_mode/Scripting.md) +support. * `AFL_FRIDA_DEBUG_MAPS` - See `AFL_QEMU_DEBUG_MAPS` * `AFL_FRIDA_DRIVER_NO_HOOK` - See `AFL_QEMU_DRIVER_NO_HOOK`. When using the @@ -627,7 +628,7 @@ the preferred way to configure FRIDA mode is through its coverage information for unstable edges (e.g., to be loaded within IDA lighthouse). * `AFL_FRIDA_JS_SCRIPT` - Set the script to be loaded by the FRIDA scripting - engine. See [here](Scripting.md) for details. + engine. See [frida_mode/Scripting.md](../frida_mode/Scripting.md) for details. * `AFL_FRIDA_OUTPUT_STDOUT` - Redirect the standard output of the target application to the named file (supersedes the setting of `AFL_DEBUG_CHILD`) * `AFL_FRIDA_OUTPUT_STDERR` - Redirect the standard error of the target diff --git a/docs/fuzzing_binary-only_targets.md b/docs/fuzzing_binary-only_targets.md index eaed3a91..fd18b5c1 100644 --- a/docs/fuzzing_binary-only_targets.md +++ b/docs/fuzzing_binary-only_targets.md @@ -107,10 +107,10 @@ For additional instructions and caveats, see [frida_mode/README.md](../frida_mode/README.md). If possible, you should use the persistent mode, see -[qemu_frida/README.md](../qemu_frida/README.md). The mode is approximately 2-5x -slower than compile-time instrumentation, and is less conducive to -parallelization. But for binary-only fuzzing, it gives a huge speed improvement -if it is possible to use. +[instrumentation/README.persistent_mode.md](../instrumentation/README.persistent_mode.md). +The mode is approximately 2-5x slower than compile-time instrumentation, and is +less conducive to parallelization. But for binary-only fuzzing, it gives a huge +speed improvement if it is possible to use. If you want to fuzz a binary-only library, then you can fuzz it with frida-gum via frida_mode/. You will have to write a harness to call the target function in diff --git a/docs/fuzzing_in_depth.md b/docs/fuzzing_in_depth.md index 4a1ddf45..29e8f817 100644 --- a/docs/fuzzing_in_depth.md +++ b/docs/fuzzing_in_depth.md @@ -153,12 +153,12 @@ only instrument parts of the target that you are interested in: There are many more options and modes available, however, these are most of the time less effective. See: -* [instrumentation/README.ctx.md](../instrumentation/README.ctx.md) -* [instrumentation/README.ngram.md](../instrumentation/README.ngram.md) +* [instrumentation/README.llvm.md#6) AFL++ Context Sensitive Branch Coverage](../instrumentation/README.llvm.md#6-afl-context-sensitive-branch-coverage) +* [instrumentation/README.llvm.md#7) AFL++ N-Gram Branch Coverage](../instrumentation/README.llvm.md#7-afl-n-gram-branch-coverage) AFL++ performs "never zero" counting in its bitmap. You can read more about this here: -* [instrumentation/README.neverzero.md](../instrumentation/README.neverzero.md) +* [instrumentation/README.llvm.md#8-neverzero-counters](../instrumentation/README.llvm.md#8-neverzero-counters) ### c) Selecting sanitizers @@ -474,7 +474,8 @@ is: ![resources/screenshot.png](resources/screenshot.png) -All labels are explained in [status_screen.md](status_screen.md). +All labels are explained in +[afl-fuzz_approach.md#understanding-the-status-screen](afl-fuzz_approach.md#understanding-the-status-screen). ### b) Keeping memory use and timeouts in check diff --git a/frida_mode/Scripting.md b/frida_mode/Scripting.md index 63ab1718..ad86fdd3 100644 --- a/frida_mode/Scripting.md +++ b/frida_mode/Scripting.md @@ -109,8 +109,8 @@ Afl.setPersistentAddress(address); A persistent hook can be implemented using a conventional shared object, sample source code for a hook suitable for the prototype of `LLVMFuzzerTestOneInput` -can be found in [hook/hook.c](hook/hook.c). This can be configured using code -similar to the following. +can be found in [hook/](hook/). This can be configured using code similar to the +following. ```js const path = Afl.module.path; diff --git a/instrumentation/README.llvm.md b/instrumentation/README.llvm.md index fa025643..ca9ce933 100644 --- a/instrumentation/README.llvm.md +++ b/instrumentation/README.llvm.md @@ -234,4 +234,45 @@ are 2-16. It is highly recommended to increase the MAP_SIZE_POW2 definition in config.h to at least 18 and maybe up to 20 for this as otherwise too many map collisions -occur. \ No newline at end of file +occur. + +## 8) NeverZero counters + +In larger, complex, or reiterative programs, the byte sized counters that +collect the edge coverage can easily fill up and wrap around. This is not that +much of an issue - unless, by chance, it wraps just to a value of zero when the +program execution ends. In this case, afl-fuzz is not able to see that the edge +has been accessed and will ignore it. + +NeverZero prevents this behavior. If a counter wraps, it jumps over the value 0 +directly to a 1. This improves path discovery (by a very small amount) at a very +low cost (one instruction per edge). + +(The alternative of saturated counters has been tested also and proved to be +inferior in terms of path discovery.) + +This is implemented in afl-gcc and afl-gcc-fast, however, for llvm_mode this is +optional if multithread safe counters are selected or the llvm version is below +9 - as there are severe performance costs in these cases. + +If you want to enable this for llvm versions below 9 or thread safe counters, +then set + +``` +export AFL_LLVM_NOT_ZERO=1 +``` + +In case you are on llvm 9 or greater and you do not want this behavior, then you +can set: + +``` +AFL_LLVM_SKIP_NEVERZERO=1 +``` + +If the target does not have extensive loops or functions that are called a lot +then this can give a small performance boost. + +Please note that the default counter implementations are not thread safe! + +Support for thread safe counters in mode LLVM CLASSIC can be activated with +setting `AFL_LLVM_THREADSAFE_INST=1`. \ No newline at end of file diff --git a/utils/README.md b/utils/README.md index 5f5745b9..debc86e8 100644 --- a/utils/README.md +++ b/utils/README.md @@ -48,7 +48,7 @@ Here's a quick overview of the stuff you can find in this directory: - defork - intercept fork() in targets - distributed_fuzzing - a sample script for synchronizing fuzzer instances - across multiple machines (see parallel_fuzzing.md). + across multiple machines. - libdislocator - like ASAN but lightweight. -- cgit 1.4.1 From 139db40cfc243d2de4eb1584e41867e5a44a06f9 Mon Sep 17 00:00:00 2001 From: llzmb <46303940+llzmb@users.noreply.github.com> Date: Sun, 5 Dec 2021 19:31:43 +0100 Subject: Fix usage and punctuation in connection with "then" and "than" --- docs/fuzzing_binary-only_targets.md | 2 +- docs/fuzzing_in_depth.md | 32 ++++++++++++++++---------------- instrumentation/README.llvm.md | 2 +- utils/afl_network_proxy/README.md | 2 +- utils/afl_untracer/README.md | 2 +- utils/aflpp_driver/README.md | 26 +++++++++++++------------- 6 files changed, 33 insertions(+), 33 deletions(-) (limited to 'docs') diff --git a/docs/fuzzing_binary-only_targets.md b/docs/fuzzing_binary-only_targets.md index fd18b5c1..5434a22c 100644 --- a/docs/fuzzing_binary-only_targets.md +++ b/docs/fuzzing_binary-only_targets.md @@ -172,7 +172,7 @@ Fore more information, see ## Binary rewriters -An alternative solution are binary rewriters. They are faster then the solutions +An alternative solution are binary rewriters. They are faster than the solutions native to AFL++ but don't always work. ### ZAFL diff --git a/docs/fuzzing_in_depth.md b/docs/fuzzing_in_depth.md index 29e8f817..aaceb600 100644 --- a/docs/fuzzing_in_depth.md +++ b/docs/fuzzing_in_depth.md @@ -211,7 +211,7 @@ is more effective). ### d) Modifying the target If the target has features that make fuzzing more difficult, e.g., checksums, -HMAC, etc. then modify the source code so that checks for these values are +HMAC, etc., then modify the source code so that checks for these values are removed. This can even be done safely for source code used in operational products by eliminating these checks within these AFL++ specific blocks: @@ -244,16 +244,16 @@ Then build the target. (Usually with `make`) **NOTES** -1. sometimes configure and build systems are fickle and do not like stderr +1. Sometimes configure and build systems are fickle and do not like stderr output (and think this means a test failure) - which is something AFL++ likes to do to show statistics. It is recommended to disable AFL++ instrumentation reporting via `export AFL_QUIET=1`. -2. sometimes configure and build systems error on warnings - these should be +2. Sometimes configure and build systems error on warnings - these should be disabled (e.g., `--disable-werror` for some configure scripts). -3. in case the configure/build system complains about AFL++'s compiler and - aborts then set `export AFL_NOOPT=1` which will then just behave like the +3. In case the configure/build system complains about AFL++'s compiler and + aborts, then set `export AFL_NOOPT=1` which will then just behave like the real compiler. This option has to be unset again before building the target! #### configure @@ -304,8 +304,8 @@ that you want to fuzz, plus a few specific AFL++ functions around it. See [instrumentation/README.persistent_mode.md](../instrumentation/README.persistent_mode.md) for details. -Basically if you do not fuzz a target in persistent mode then you are just doing -it for a hobby and not professionally :-). +Basically if you do not fuzz a target in persistent mode, then you are just +doing it for a hobby and not professionally :-). ### g) libfuzzer fuzzer harnesses with LLVMFuzzerTestOneInput() @@ -418,9 +418,9 @@ Note that both scripts improve your fuzzing performance but also decrease your system protection against attacks! So set strong firewall rules and only expose SSH as a network service if you use these (which is highly recommended). -If you have an input corpus from step 2 then specify this directory with the -`-i` option. Otherwise create a new directory and create a file with any content -as test data in there. +If you have an input corpus from step 2, then specify this directory with the +`-i` option. Otherwise, create a new directory and create a file with any +content as test data in there. If you do not want anything special, the defaults are already usually best, hence all you need is to specify the seed input directory with the result of @@ -498,8 +498,8 @@ and not waste CPU time. ### c) Using multiple cores -If you want to seriously fuzz then use as many cores/threads as possible to fuzz -your target. +If you want to seriously fuzz, then use as many cores/threads as possible to +fuzz your target. On the same machine - due to the design of how AFL++ works - there is a maximum number of CPU cores/threads that are useful, use more and the overall @@ -658,7 +658,7 @@ An "easy" helper script for this is [https://github.com/vanhauser-thc/afl-cov](https://github.com/vanhauser-thc/afl-cov), just follow the README of that separate project. -If you see that an important area or a feature has not been covered so far then +If you see that an important area or a feature has not been covered so far, then try to find an input that is able to reach that and start a new secondary in that fuzzing campaign with that seed as input, let it run for a few minutes, then terminate it. The main node will pick it up and make it available to the @@ -668,13 +668,13 @@ AFL_TRY_AFFINITY=1` if you have no free core. Note that in nearly all cases you can never reach full coverage. A lot of functionality is usually dependent on exclusive options that would need individual fuzzing campaigns each with one of these options set. E.g., if you -fuzz a library to convert image formats and your target is the png to tiff API +fuzz a library to convert image formats and your target is the png to tiff API, then you will not touch any of the other library APIs and features. ### h) How long to fuzz a target? -This is a difficult question. Basically if no new path is found for a long time -(e.g., for a day or a week) then you can expect that your fuzzing won't be +This is a difficult question. Basically, if no new path is found for a long time +(e.g., for a day or a week), then you can expect that your fuzzing won't be fruitful anymore. However, often this just means that you should switch out secondaries for others, e.g., custom mutator modules, sync to very different fuzzers, etc. diff --git a/instrumentation/README.llvm.md b/instrumentation/README.llvm.md index ca9ce933..d220e52c 100644 --- a/instrumentation/README.llvm.md +++ b/instrumentation/README.llvm.md @@ -269,7 +269,7 @@ can set: AFL_LLVM_SKIP_NEVERZERO=1 ``` -If the target does not have extensive loops or functions that are called a lot +If the target does not have extensive loops or functions that are called a lot, then this can give a small performance boost. Please note that the default counter implementations are not thread safe! diff --git a/utils/afl_network_proxy/README.md b/utils/afl_network_proxy/README.md index c478319a..c34463e2 100644 --- a/utils/afl_network_proxy/README.md +++ b/utils/afl_network_proxy/README.md @@ -1,6 +1,6 @@ # afl-network-proxy -If you want to run afl-fuzz over the network than this is what you need :) +If you want to run afl-fuzz over the network, then this is what you need. :) Note that the impact on fuzzing speed will be huge, expect a loss of 90%. ## When to use this diff --git a/utils/afl_untracer/README.md b/utils/afl_untracer/README.md index cd87998b..da0e0c77 100644 --- a/utils/afl_untracer/README.md +++ b/utils/afl_untracer/README.md @@ -15,7 +15,7 @@ Supported is so far Intel (i386/x86_64) and AARCH64. ### Modify afl-untracer.c -Read and modify afl-untracer.c then `make`. +Read and modify afl-untracer.c, then `make`. To adapt afl-untracer.c to your needs, read the header of the file and then search and edit the `STEP 1`, `STEP 2` and `STEP 3` locations. diff --git a/utils/aflpp_driver/README.md b/utils/aflpp_driver/README.md index 8b9fe15f..c547aaea 100644 --- a/utils/aflpp_driver/README.md +++ b/utils/aflpp_driver/README.md @@ -5,20 +5,20 @@ aflpp_driver is used to compile directly libfuzzer `LLVMFuzzerTestOneInput()` targets. -Just do `afl-clang-fast++ -o fuzz fuzzer_harness.cc libAFLDriver.a [plus required linking]`. +Just do `afl-clang-fast++ -o fuzz fuzzer_harness.cc libAFLDriver.a [plus +required linking]`. -You can also sneakily do this little trick: -If this is the clang compile command to build for libfuzzer: - `clang++ -o fuzz -fsanitize=fuzzer fuzzer_harness.cc -lfoo` -then just switch `clang++` with `afl-clang-fast++` and our compiler will +You can also sneakily do this little trick: If this is the clang compile command +to build for libfuzzer: `clang++ -o fuzz -fsanitize=fuzzer fuzzer_harness.cc +-lfoo`, then just switch `clang++` with `afl-clang-fast++` and our compiler will magically insert libAFLDriver.a :) -To use shared-memory test cases, you need nothing to do. -To use stdin test cases, give `-` as the only command line parameter. -To use file input test cases, give `@@` as the only command line parameter. +To use shared-memory test cases, you need nothing to do. To use stdin test +cases, give `-` as the only command line parameter. To use file input test +cases, give `@@` as the only command line parameter. -IMPORTANT: if you use `afl-cmin` or `afl-cmin.bash` then either pass `-` -or `@@` as command line parameters. +IMPORTANT: if you use `afl-cmin` or `afl-cmin.bash`, then either pass `-` or +`@@` as command line parameters. ## aflpp_qemu_driver @@ -38,6 +38,6 @@ AFL_QEMU_PERSISTENT_HOOK=/path/to/aflpp_qemu_driver_hook.so afl-fuzz -Q ... -- . ``` if you use afl-cmin or `afl-showmap -C` with the aflpp_qemu_driver you need to -set the set same AFL_QEMU_... (or AFL_FRIDA_...) environment variables. -If you want to use afl-showmap (without -C) or afl-cmin.bash then you may not -set these environment variables and rather set `AFL_QEMU_DRIVER_NO_HOOK=1`. \ No newline at end of file +set the set same AFL_QEMU_... (or AFL_FRIDA_...) environment variables. If you +want to use afl-showmap (without -C) or afl-cmin.bash, then you may not set +these environment variables and rather set `AFL_QEMU_DRIVER_NO_HOOK=1`. \ No newline at end of file -- cgit 1.4.1 From bb506de0b809f97a4221ee1b6e040dcb5f9ca56a Mon Sep 17 00:00:00 2001 From: llzmb <46303940+llzmb@users.noreply.github.com> Date: Sun, 5 Dec 2021 19:04:45 +0100 Subject: Fix various missed issues - 1st run --- custom_mutators/gramatron/README.md | 43 ++++----- dictionaries/README.md | 20 ++-- docs/afl-fuzz_approach.md | 11 ++- docs/custom_mutators.md | 2 +- docs/env_variables.md | 2 +- docs/features.md | 4 +- utils/autodict_ql/readme.md | 180 ++++++++++++++++++++++-------------- utils/libdislocator/README.md | 29 +++--- 8 files changed, 168 insertions(+), 123 deletions(-) (limited to 'docs') diff --git a/custom_mutators/gramatron/README.md b/custom_mutators/gramatron/README.md index 5e10f97b..8aa0cc44 100644 --- a/custom_mutators/gramatron/README.md +++ b/custom_mutators/gramatron/README.md @@ -1,17 +1,17 @@ # GramaTron GramaTron is a coverage-guided fuzzer that uses grammar automatons to perform -grammar-aware fuzzing. Technical details about our framework are available -in the [ISSTA'21 paper](https://nebelwelt.net/files/21ISSTA.pdf). -The artifact to reproduce the experiments presented in the paper are present -in `artifact/`. Instructions to run a sample campaign and incorporate new -grammars is presented below: +grammar-aware fuzzing. Technical details about our framework are available in +the [ISSTA'21 paper](https://nebelwelt.net/files/21ISSTA.pdf). The artifact to +reproduce the experiments presented in the paper are present in `artifact/`. +Instructions to run a sample campaign and incorporate new grammars is presented +below: -# Compiling +## Compiling Execute `./build_gramatron_mutator.sh`. -# Running +## Running You have to set the grammar file to use with `GRAMATRON_AUTOMATION`: @@ -23,26 +23,27 @@ export GRAMATRON_AUTOMATION=grammars/ruby/source_automata.json afl-fuzz -i in -o out -- ./target ``` -# Adding and testing a new grammar +## Adding and testing a new grammar -- Specify in a JSON format for CFG. Examples are correspond `source.json` files +- Specify in a JSON format for CFG. Examples are correspond `source.json` files. - Run the automaton generation script (in `src/gramfuzz-mutator/preprocess`) which will place the generated automaton in the same folder. -``` -./preprocess/prep_automaton.sh [stack_limit] + ``` + ./preprocess/prep_automaton.sh [stack_limit] -E.g., ./preprocess/prep_automaton.sh ~/grammars/ruby/source.json PROGRAM -``` + E.g., ./preprocess/prep_automaton.sh ~/grammars/ruby/source.json PROGRAM + ``` -- If the grammar has no self-embedding rules then you do not need to pass the - stack limit parameter. However, if it does have self-embedding rules then you +- If the grammar has no self-embedding rules, then you do not need to pass the + stack limit parameter. However, if it does have self-embedding rules, then you need to pass the stack limit parameter. We recommend starting with `5` and - then increasing it if you need more complexity -- To sanity-check that the automaton is generating inputs as expected you can use the `test` binary housed in `src/gramfuzz-mutator` + then increasing it if you need more complexity. +- To sanity-check that the automaton is generating inputs as expected, you can + use the `test` binary housed in `src/gramfuzz-mutator`. -``` -./test SanityCheck + ``` + ./test SanityCheck -E.g., ./test SanityCheck ~/grammars/ruby/source_automata.json -``` \ No newline at end of file + E.g., ./test SanityCheck ~/grammars/ruby/source_automata.json + ``` \ No newline at end of file diff --git a/dictionaries/README.md b/dictionaries/README.md index f3b8a9e5..0b3b4d90 100644 --- a/dictionaries/README.md +++ b/dictionaries/README.md @@ -2,17 +2,17 @@ (See [../README.md](../README.md) for the general instruction manual.) -This subdirectory contains a set of dictionaries that can be used in -conjunction with the -x option to allow the fuzzer to effortlessly explore the -grammar of some of the more verbose data formats or languages. +This subdirectory contains a set of dictionaries that can be used in conjunction +with the -x option to allow the fuzzer to effortlessly explore the grammar of +some of the more verbose data formats or languages. -These sets were done by Michal Zalewski, various contributors, and imported -from oss-fuzz, go-fuzz and libfuzzer. +These sets were done by Michal Zalewski, various contributors, and imported from +oss-fuzz, go-fuzz and libfuzzer. Custom dictionaries can be added at will. They should consist of a reasonably-sized set of rudimentary syntax units that the fuzzer will then try -to clobber together in various ways. Snippets between 2 and 16 bytes are -usually the sweet spot. +to clobber together in various ways. Snippets between 2 and 16 bytes are usually +the sweet spot. Custom dictionaries can be created in two ways: @@ -34,9 +34,9 @@ In the file mode, every name field can be optionally followed by @, e.g.: `keyword_foo@1 = "foo"` Such entries will be loaded only if the requested dictionary level is equal or -higher than this number. The default level is zero; a higher value can be set -by appending @ to the dictionary file name, like so: +higher than this number. The default level is zero; a higher value can be set by +appending @ to the dictionary file name, like so: `-x path/to/dictionary.dct@2` -Good examples of dictionaries can be found in xml.dict and png.dict. +Good examples of dictionaries can be found in xml.dict and png.dict. \ No newline at end of file diff --git a/docs/afl-fuzz_approach.md b/docs/afl-fuzz_approach.md index 01888935..2da61cc4 100644 --- a/docs/afl-fuzz_approach.md +++ b/docs/afl-fuzz_approach.md @@ -468,7 +468,8 @@ cd ../../ sudo make install ``` -To learn more about remote monitoring and metrics visualization with StatsD, see [rpc_statsd.md](rpc_statsd.md). +To learn more about remote monitoring and metrics visualization with StatsD, see +[rpc_statsd.md](rpc_statsd.md). ### Addendum: status and plot files @@ -524,9 +525,9 @@ into each of them or deploy scripts to read the fuzzer statistics. Using `AFL_STATSD` (and the other related environment variables `AFL_STATSD_HOST`, `AFL_STATSD_PORT`, `AFL_STATSD_TAGS_FLAVOR`) you can automatically send metrics to your favorite StatsD server. Depending on your StatsD server, you will be -able to monitor, trigger alerts, or perform actions based on these metrics (e.g: -alert on slow exec/s for a new build, threshold of crashes, time since last -crash > X, etc.). +able to monitor, trigger alerts, or perform actions based on these metrics +(e.g.: alert on slow exec/s for a new build, threshold of crashes, time since +last crash > X, etc.). The selected metrics are a subset of all the metrics found in the status and in the plot file. The list is the following: `cycle_done`, `cycles_wo_finds`, @@ -537,6 +538,6 @@ the plot file. The list is the following: `cycle_done`, `cycles_wo_finds`, definitions can be found in the addendum above. When using multiple fuzzer instances with StatsD, it is *strongly* recommended -to setup the flavor (AFL_STATSD_TAGS_FLAVOR) to match your StatsD server. This +to setup the flavor (`AFL_STATSD_TAGS_FLAVOR`) to match your StatsD server. This will allow you to see individual fuzzer performance, detect bad ones, see the progress of each strategy... \ No newline at end of file diff --git a/docs/custom_mutators.md b/docs/custom_mutators.md index 2f632e1f..7b4e0516 100644 --- a/docs/custom_mutators.md +++ b/docs/custom_mutators.md @@ -276,7 +276,7 @@ gcc -shared -Wall -O3 example.c -o example.so ``` Note that if you specify multiple custom mutators, the corresponding functions -will be called in the order in which they are specified. e.g. first +will be called in the order in which they are specified. E.g., the first `post_process` function of `example_first.so` will be called and then that of `example_second.so`. diff --git a/docs/env_variables.md b/docs/env_variables.md index 0952b960..c45f4ab9 100644 --- a/docs/env_variables.md +++ b/docs/env_variables.md @@ -585,7 +585,7 @@ The FRIDA wrapper used to instrument binary-only code supports many of the same options as `afl-qemu-trace`, but also has a number of additional advanced options. These are listed in brief below (see [frida_mode/README.md](../frida_mode/README.md) for more details). These -settings are provided for compatibiltiy with QEMU mode, the preferred way to +settings are provided for compatibility with QEMU mode, the preferred way to configure FRIDA mode is through its [scripting](../frida_mode/Scripting.md) support. diff --git a/docs/features.md b/docs/features.md index 06b1bcbe..431d9eb1 100644 --- a/docs/features.md +++ b/docs/features.md @@ -1,7 +1,7 @@ # Important features of AFL++ AFL++ supports llvm from 3.8 up to version 12, very fast binary fuzzing with -QEMU 5.1 with laf-intel and redqueen, frida mode, unicorn mode, gcc plugin, full +QEMU 5.1 with laf-intel and redqueen, FRIDA mode, unicorn mode, gcc plugin, full *BSD, Mac OS, Solaris and Android support and much, much, much more. | Feature/Instrumentation | afl-gcc | llvm | gcc_plugin | FRIDA mode(9) | QEMU mode(10) |unicorn_mode(10) |coresight_mode(11)| @@ -30,7 +30,7 @@ QEMU 5.1 with laf-intel and redqueen, frida mode, unicorn mode, gcc plugin, full versions that write to a file to use with afl-fuzz' `-x` 8. the snapshot LKM is currently unmaintained due to too many kernel changes coming too fast :-( -9. frida mode is supported on Linux and MacOS for Intel and ARM +9. FRIDA mode is supported on Linux and MacOS for Intel and ARM 10. QEMU/Unicorn is only supported on Linux 11. Coresight mode is only available on AARCH64 Linux with a CPU with Coresight extension diff --git a/utils/autodict_ql/readme.md b/utils/autodict_ql/readme.md index 789cd152..f61026b7 100644 --- a/utils/autodict_ql/readme.md +++ b/utils/autodict_ql/readme.md @@ -2,21 +2,35 @@ ## What is this? -`Autodict-QL` is a plugin system that enables fast generation of Tokens/Dictionaries in a handy way that can be manipulated by the user (unlike The LLVM Passes that are hard to modify). This means that autodict-ql is a scriptable feature which basically uses CodeQL (a powerful semantic code analysis engine) to fetch information from a code base. +`Autodict-QL` is a plugin system that enables fast generation of +Tokens/Dictionaries in a handy way that can be manipulated by the user (unlike +The LLVM Passes that are hard to modify). This means that autodict-ql is a +scriptable feature which basically uses CodeQL (a powerful semantic code +analysis engine) to fetch information from a code base. -Tokens are useful when you perform fuzzing on different parsers. The AFL++ `-x` switch enables the usage of dictionaries through your fuzzing campaign. If you are not familiar with Dictionaries in fuzzing, take a look [here](https://github.com/AFLplusplus/AFLplusplus/tree/stable/dictionaries) . +Tokens are useful when you perform fuzzing on different parsers. The AFL++ `-x` +switch enables the usage of dictionaries through your fuzzing campaign. If you +are not familiar with Dictionaries in fuzzing, take a look +[here](https://github.com/AFLplusplus/AFLplusplus/tree/stable/dictionaries). -## Why CodeQL ? +## Why CodeQL? -We basically developed this plugin on top of the CodeQL engine because it gives the user scripting features, it's easier and it's independent of the LLVM system. This means that a user can write his CodeQL scripts or modify the current scripts to improve or change the token generation algorithms based on different program analysis concepts. +We basically developed this plugin on top of the CodeQL engine because it gives +the user scripting features, it's easier and it's independent of the LLVM +system. This means that a user can write his CodeQL scripts or modify the +current scripts to improve or change the token generation algorithms based on +different program analysis concepts. ## CodeQL scripts -Currently, we pushed some scripts as defaults for Token generation. In addition, we provide every CodeQL script as an standalone script because it's easier to modify or test. +Currently, we pushed some scripts as defaults for Token generation. In addition, +we provide every CodeQL script as an standalone script because it's easier to +modify or test. -Currently we provided the following CodeQL scripts : +Currently we provided the following CodeQL scripts: -`strcmp-str.ql` is used to extract strings that are related to the `strcmp` function. +`strcmp-str.ql` is used to extract strings that are related to the `strcmp` +function. `strncmp-str.ql` is used to extract the strings from the `strncmp` function. @@ -24,13 +38,18 @@ Currently we provided the following CodeQL scripts : `litool.ql` extracts Magic numbers as Hexadecimal format. -`strtool.ql` extracts strings with uses of a regex and dataflow concept to capture the string comparison functions. If `strcmp` is rewritten in a project as Mystrcmp or something like strmycmp, then this script can catch the arguments and these are valuable tokens. +`strtool.ql` extracts strings with uses of a regex and dataflow concept to +capture the string comparison functions. If `strcmp` is rewritten in a project +as Mystrcmp or something like strmycmp, then this script can catch the arguments +and these are valuable tokens. -You can write other CodeQL scripts to extract possible effective tokens if you think they can be useful. +You can write other CodeQL scripts to extract possible effective tokens if you +think they can be useful. ## Usage -Before you proceed to installation make sure that you have the following packages by installing them: +Before you proceed to installation make sure that you have the following +packages by installing them: ```shell sudo apt install build-essential libtool-bin python3-dev python3 automake git vim wget -y @@ -38,66 +57,91 @@ sudo apt install build-essential libtool-bin python3-dev python3 automake git vi The usage of Autodict-QL is pretty easy. But let's describe it as: -1. First of all, you need to have CodeQL installed on the system. We make this possible with `build-codeql.sh` bash script. This script will install CodeQL completety and will set the required environment variables for your system. -Do the following: - -```shell -# chmod +x codeql-build.sh -# ./codeql-build.sh -# source ~/.bashrc -# codeql -``` - -Then you should get: - -```shell -Usage: codeql ... -Create and query CodeQL databases, or work with the QL language. - -GitHub makes this program freely available for the analysis of open-source software and certain other uses, but it is -not itself free software. Type codeql --license to see the license terms. - - --license Show the license terms for the CodeQL toolchain. -Common options: - -h, --help Show this help text. - -v, --verbose Incrementally increase the number of progress messages printed. - -q, --quiet Incrementally decrease the number of progress messages printed. -Some advanced options have been hidden; try --help -v for a fuller view. -Commands: - query Compile and execute QL code. - bqrs Get information from .bqrs files. - database Create, analyze and process CodeQL databases. - dataset [Plumbing] Work with raw QL datasets. - test Execute QL unit tests. - resolve [Deep plumbing] Helper commands to resolve disk locations etc. - execute [Deep plumbing] Low-level commands that need special JVM options. - version Show the version of the CodeQL toolchain. - generate Generate formatted QL documentation. - github Commands useful for interacting with the GitHub API through CodeQL. -``` - -2. Compile your project with CodeQL: For using the Autodict-QL plugin, you need to compile the source of the target you want to fuzz with CodeQL. This is not something hard. - - First you need to create a CodeQL database of the project codebase, suppose we want to compile `libxml` with codeql. Go to libxml and issue the following commands: - - `./configure --disable-shared` - - `codeql create database libxml-db --language=cpp --command=make` - - Now you have the CodeQL database of the project :-) -3. The final step is to update the CodeQL database you created in step 2 (Suppose we are in `aflplusplus/utils/autodict_ql/` directory): - - `codeql database upgrade /home/user/libxml/libxml-db` +1. First of all, you need to have CodeQL installed on the system. We make this + possible with `build-codeql.sh` bash script. This script will install CodeQL + completety and will set the required environment variables for your system. + Do the following: + + ```shell + # chmod +x codeql-build.sh + # ./codeql-build.sh + # source ~/.bashrc + # codeql + ``` + + Then you should get: + + ```shell + Usage: codeql ... + Create and query CodeQL databases, or work with the QL language. + + GitHub makes this program freely available for the analysis of open-source software and certain other uses, but it is + not itself free software. Type codeql --license to see the license terms. + + --license Show the license terms for the CodeQL toolchain. + Common options: + -h, --help Show this help text. + -v, --verbose Incrementally increase the number of progress messages printed. + -q, --quiet Incrementally decrease the number of progress messages printed. + Some advanced options have been hidden; try --help -v for a fuller view. + Commands: + query Compile and execute QL code. + bqrs Get information from .bqrs files. + database Create, analyze and process CodeQL databases. + dataset [Plumbing] Work with raw QL datasets. + test Execute QL unit tests. + resolve [Deep plumbing] Helper commands to resolve disk locations etc. + execute [Deep plumbing] Low-level commands that need special JVM options. + version Show the version of the CodeQL toolchain. + generate Generate formatted QL documentation. + github Commands useful for interacting with the GitHub API through CodeQL. + ``` + +2. Compile your project with CodeQL: For using the Autodict-QL plugin, you need + to compile the source of the target you want to fuzz with CodeQL. This is not + something hard. + - First you need to create a CodeQL database of the project codebase, suppose + we want to compile `libxml` with codeql. Go to libxml and issue the + following commands: + - `./configure --disable-shared` + - `codeql create database libxml-db --language=cpp --command=make` + - Now you have the CodeQL database of the project :-) +3. The final step is to update the CodeQL database you created in step 2 + (Suppose we are in `aflplusplus/utils/autodict_ql/` directory): + - `codeql database upgrade /home/user/libxml/libxml-db` 4. Everything is set! Now you should issue the following to get the tokens: - - `python3 autodict-ql.py [CURRECT_DIR] [CODEQL_DATABASE_PATH] [TOKEN_PATH]` - - example : `python3 /home/user/AFLplusplus/utils/autodict_ql/autodict-ql.py $PWD /home/user/libxml/libxml-db tokens` - - This will create the final `tokens` dir for you and you are done, then pass the tokens path to AFL++'s `-x` flag. + - `python3 autodict-ql.py [CURRECT_DIR] [CODEQL_DATABASE_PATH] [TOKEN_PATH]` + - example: `python3 /home/user/AFLplusplus/utils/autodict_ql/autodict-ql.py + $PWD /home/user/libxml/libxml-db tokens` + - This will create the final `tokens` dir for you and you are done, then + pass the tokens path to AFL++'s `-x` flag. 5. Done! ## More on dictionaries and tokens -Core developer of the AFL++ project Marc Heuse also developed a similar tool named `dict2file` which is a LLVM pass which can automatically extract useful tokens, in addition with LTO instrumentation mode, this dict2file is automatically generates token extraction. `Autodict-QL` plugin gives you scripting capability and you can do whatever you want to extract from the Codebase and it's up to you. In addition it's independent from LLVM system. -On the other hand, you can also use Google dictionaries which have been made public in May 2020, but the problem of using Google dictionaries is that they are limited to specific file formats and specifications. For example, for testing binutils and ELF file format or AVI in FFMPEG, there are no pre-built dictionaries, so it is highly recommended to use `Autodict-QL` or `Dict2File` features to automatically generate dictionaries based on the target. - -I've personally prefered to use `Autodict-QL` or `dict2file` rather than Google dictionaries or any other manually generated dictionaries as `Autodict-QL` and `dict2file` are working based on the target. -In overall, fuzzing with dictionaries and well-generated tokens will give better results. - -There are 2 important points to remember : - -- If you combine `Autodict-QL` with AFL++ cmplog, you will get much better code coverage and hence better chances to discover new bugs. -- Do not forget to set `AFL_MAX_DET_EXTRAS` at least to the number of generated dictionaries. If you forget to set this environment variable, then AFL++ uses just 200 tokens and use the rest of them only probabilistically. So this will guarantee that your tokens will be used by AFL++. \ No newline at end of file +Core developer of the AFL++ project Marc Heuse also developed a similar tool +named `dict2file` which is a LLVM pass which can automatically extract useful +tokens, in addition with LTO instrumentation mode, this dict2file is +automatically generates token extraction. `Autodict-QL` plugin gives you +scripting capability and you can do whatever you want to extract from the +Codebase and it's up to you. In addition it's independent from LLVM system. On +the other hand, you can also use Google dictionaries which have been made public +in May 2020, but the problem of using Google dictionaries is that they are +limited to specific file formats and specifications. For example, for testing +binutils and ELF file format or AVI in FFMPEG, there are no pre-built +dictionaries, so it is highly recommended to use `Autodict-QL` or `Dict2File` +features to automatically generate dictionaries based on the target. + +I've personally preferred to use `Autodict-QL` or `dict2file` rather than Google +dictionaries or any other manually generated dictionaries as `Autodict-QL` and +`dict2file` are working based on the target. In overall, fuzzing with +dictionaries and well-generated tokens will give better results. + +There are 2 important points to remember: + +- If you combine `Autodict-QL` with AFL++ cmplog, you will get much better code + coverage and hence better chances to discover new bugs. +- Do not forget to set `AFL_MAX_DET_EXTRAS` at least to the number of generated + dictionaries. If you forget to set this environment variable, then AFL++ uses + just 200 tokens and use the rest of them only probabilistically. So this will + guarantee that your tokens will be used by AFL++. \ No newline at end of file diff --git a/utils/libdislocator/README.md b/utils/libdislocator/README.md index 64a5f14c..7150c205 100644 --- a/utils/libdislocator/README.md +++ b/utils/libdislocator/README.md @@ -10,8 +10,8 @@ heap-related security bugs in several ways: subsequent PROT_NONE page, causing most off-by-one reads and writes to immediately segfault, - - It adds a canary immediately below the allocated buffer, to catch writes - to negative offsets (won't catch reads, though), + - It adds a canary immediately below the allocated buffer, to catch writes to + negative offsets (won't catch reads, though), - It sets the memory returned by malloc() to garbage values, improving the odds of crashing when the target accesses uninitialized data, @@ -19,35 +19,34 @@ heap-related security bugs in several ways: - It sets freed memory to PROT_NONE and does not actually reuse it, causing most use-after-free bugs to segfault right away, - - It forces all realloc() calls to return a new address - and sets - PROT_NONE on the original block. This catches use-after-realloc bugs, + - It forces all realloc() calls to return a new address - and sets PROT_NONE + on the original block. This catches use-after-realloc bugs, - - It checks for calloc() overflows and can cause soft or hard failures - of alloc requests past a configurable memory limit (AFL_LD_LIMIT_MB, + - It checks for calloc() overflows and can cause soft or hard failures of + alloc requests past a configurable memory limit (AFL_LD_LIMIT_MB, AFL_LD_HARD_FAIL). - Optionally, in platforms supporting it, huge pages can be used by passing USEHUGEPAGE=1 to make. - - Size alignment to `max_align_t` can be enforced with AFL_ALIGNED_ALLOC=1. - In this case, a tail canary is inserted in the padding bytes at the end - of the allocated zone. This reduce the ability of libdislocator to detect + - Size alignment to `max_align_t` can be enforced with AFL_ALIGNED_ALLOC=1. In + this case, a tail canary is inserted in the padding bytes at the end of the + allocated zone. This reduce the ability of libdislocator to detect off-by-one bugs but also it make slibdislocator compliant to the C standard. Basically, it is inspired by some of the non-default options available for the OpenBSD allocator - see malloc.conf(5) on that platform for reference. It is -also somewhat similar to several other debugging libraries, such as gmalloc -and DUMA - but is simple, plug-and-play, and designed specifically for fuzzing -jobs. +also somewhat similar to several other debugging libraries, such as gmalloc and +DUMA - but is simple, plug-and-play, and designed specifically for fuzzing jobs. Note that it does nothing for stack-based memory handling errors. The -fstack-protector-all setting for GCC / clang, enabled when using AFL_HARDEN, can catch some subset of that. The allocator is slow and memory-intensive (even the tiniest allocation uses up -4 kB of physical memory and 8 kB of virtual mem), making it completely unsuitable -for "production" uses; but it can be faster and more hassle-free than ASAN / MSAN -when fuzzing small, self-contained binaries. +4 kB of physical memory and 8 kB of virtual mem), making it completely +unsuitable for "production" uses; but it can be faster and more hassle-free than +ASAN / MSAN when fuzzing small, self-contained binaries. To use this library, run AFL++ like so: -- cgit 1.4.1 From e46adb0be7c5e1a0a1d49723678a9df20dfbe400 Mon Sep 17 00:00:00 2001 From: vanhauser-thc Date: Wed, 8 Dec 2021 11:28:33 +0100 Subject: fix AFL_REAL_LD for afl-cc --- docs/Changelog.md | 1 + src/afl-cc.c | 3 ++- 2 files changed, 3 insertions(+), 1 deletion(-) (limited to 'docs') diff --git a/docs/Changelog.md b/docs/Changelog.md index be5cac43..34b9affb 100644 --- a/docs/Changelog.md +++ b/docs/Changelog.md @@ -48,6 +48,7 @@ sending a mail to . - fixed a potential crash in targets for LAF string handling - added AFL_USE_TSAN thread sanitizer support - llvm and LTO mode modified to work with new llvm 14-dev (again) + - fix for AFL_REAL_LD - added the very good grammar mutator "GramaTron" to the custom_mutators - added optimin, a faster and better corpus minimizer by diff --git a/src/afl-cc.c b/src/afl-cc.c index 6bdb9572..1448d8ae 100644 --- a/src/afl-cc.c +++ b/src/afl-cc.c @@ -555,7 +555,8 @@ static void edit_params(u32 argc, char **argv, char **envp) { if (lto_mode && !have_c) { - u8 *ld_path = strdup(AFL_REAL_LD); + u8 *ld_path = NULL; + if (getenv("AFL_REAL_LD")) { ld_path = strdup(getenv("AFL_REAL_LD")); } if (!ld_path || !*ld_path) { ld_path = strdup("ld.lld"); } if (!ld_path) { PFATAL("Could not allocate mem for ld_path"); } #if defined(AFL_CLANG_LDPATH) && LLVM_MAJOR >= 12 -- cgit 1.4.1