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Diffstat (limited to 'README.md')
| -rw-r--r-- | README.md | 10 |
1 files changed, 5 insertions, 5 deletions
diff --git a/README.md b/README.md index 4f49bf99..00095390 100644 --- a/README.md +++ b/README.md @@ -2,8 +2,6 @@ <img align="right" src="https://raw.githubusercontent.com/andreafioraldi/AFLplusplus-website/master/static/logo_256x256.png" alt="AFL++ Logo"> -  - Release Version: [3.00c](https://github.com/AFLplusplus/AFLplusplus/releases) Github Version: 3.01a @@ -55,7 +53,7 @@ behaviours and defaults: * 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 does not perform trimming + * -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 @@ -219,6 +217,7 @@ 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 +* NO_ARCH_OPT - builds afl++ without machine architecture optimizations * LLVM_CONFIG - if your distro doesn't use the standard name for llvm-config (e.g. Debian) e.g.: make ASAN_BUILD=1 @@ -752,6 +751,8 @@ campaigns as these are much shorter runnings. * 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 deterministic fuzzing, old queue handling etc. which is good for + a fuzzing campaign but not good for short CI runs. ## Fuzzing binary-only targets @@ -789,8 +790,7 @@ 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 persistent mode). Note that several other binary rewriters exist, all with their advantages and -caveats. As rewriting a binary is much faster than Qemu this is a highly -recommended approach! +caveats. ### Unicorn |