diff options
Diffstat (limited to 'utils')
-rw-r--r-- | utils/dynamic_covfilter/README.md | 60 | ||||
-rw-r--r-- | utils/dynamic_covfilter/make_symbol_list.py | 73 |
2 files changed, 133 insertions, 0 deletions
diff --git a/utils/dynamic_covfilter/README.md b/utils/dynamic_covfilter/README.md new file mode 100644 index 00000000..381e0855 --- /dev/null +++ b/utils/dynamic_covfilter/README.md @@ -0,0 +1,60 @@ +# Dynamic Instrumentation Filter + +Sometimes it can be beneficial to limit the instrumentation feedback to +specific code locations. It is possible to do so at compile-time by simply +not instrumenting any undesired locations. However, there are situations +where doing this dynamically without requiring a new build can be beneficial. +Especially when dealing with larger builds, it is much more convenient to +select the target code locations at runtime instead of doing so at build time. + +There are two ways of doing this in AFL++. Both approaches require a build of +AFL++ with `CODE_COVERAGE=1`, so make sure to build AFL++ first by invoking + +`CODE_COVERAGE=1 make` + +Once you have built AFL++, you can choose out of two approaches: + +## Simple Selection with `AFL_PC_FILTER` + +This approach requires a build with `AFL_INSTRUMENTATION=llvmnative` or +`llvmcodecov` as well as an AddressSanitizer build with debug information. + +By setting the environment variable `AFL_PC_FILTER` to a string, the runtime +symbolizer is enabled in the AFL++ runtime. At startup, the runtime will call +the `__sanitizer_symbolize_pc` API to resolve every PC in every loaded module. +The runtime then matches the result using `strstr` and disables the PC guard +if the symbolized PC does not contain the specified string. + +This approach has the benefit of being very easy to use. The downside is that +it causes significant startup delays with large binaries and that it requires +an AddressSanitizer build. + +This method has no additional runtime overhead after startup. + +## Selection using pre-symbolized data file with `AFL_PC_FILTER_FILE` + +To avoid large startup time delays, a specific module can be pre-symbolized +using the `make_symbol_list.py` script. This script outputs a sorted list of +functions with their respective relative offsets and lengths in the target +binary: + +`python3 make_symbol_list.py libxul.so > libxul.symbols.txt` + +The resulting list can be filtered, e.g. using grep: + +`grep -i "webgl" libxul.symbols.txt > libxul.webgl.symbols.txt` + +Finally, you can run with `AFL_PC_FILTER_FILE=libxul.webgl.symbols.txt` to +restrict instrumentation feedback to the given locations. This approach only +has a minimal startup time delay due to the implementation only using binary +search on the given file per PC rather than reading debug information for every +PC. It also works well with Nyx, where symbolizing is usually disabled for the +target process to avoid delays with frequent crashes. + +Similar to the previous method, This approach requires a build with +`AFL_INSTRUMENTATION=llvmnative` or `llvmcodecov` as well debug information. +However, it does not require the ASan runtime as it doesn't do the symbolizing +in process. Due to the way it maps PCs to symbols, it is less accurate when it +comes to includes and inlines (it assumes all PCs within a function belong to +that function and originate from the same file). For most purposes, this should +be a reasonable simplification to quickly process even the largest binaries. diff --git a/utils/dynamic_covfilter/make_symbol_list.py b/utils/dynamic_covfilter/make_symbol_list.py new file mode 100644 index 00000000..d1dd6ab3 --- /dev/null +++ b/utils/dynamic_covfilter/make_symbol_list.py @@ -0,0 +1,73 @@ +# This Source Code Form is subject to the terms of the Mozilla Public +# License, v. 2.0. If a copy of the MPL was not distributed with this +# file, You can obtain one at http://mozilla.org/MPL/2.0/. +# +# Written by Christian Holler <decoder at mozilla dot com> + +import json +import os +import sys +import subprocess + +if len(sys.argv) != 2: + print("Usage: %s binfile" % os.path.basename(sys.argv[0])) + sys.exit(1) + +binfile = sys.argv[1] + +addr2len = {} +addrs = [] + +output = subprocess.check_output(["objdump", "-t", binfile]).decode("utf-8") +for line in output.splitlines(): + line = line.replace("\t", " ") + components = [x for x in line.split(" ") if x] + if not components: + continue + try: + start_addr = int(components[0], 16) + except ValueError: + continue + + # Length has variable position in objdump output + length = None + for comp in components[1:]: + if len(comp) == 16: + try: + length = int(comp, 16) + break + except: + continue + + if length is None: + print("ERROR: Couldn't determine function section length: %s" % line) + + func = components[-1] + + addrs.append(start_addr) + addr2len[str(hex(start_addr))] = str(length) + +# The search implementation in the AFL runtime expects everything sorted. +addrs.sort() +addrs = [str(hex(addr)) for addr in addrs] + +# We symbolize in one go to speed things up with large binaries. +output = subprocess.check_output([ + "llvm-addr2line", + "--output-style=JSON", + "-f", "-C", "-a", "-e", + binfile], + input="\n".join(addrs).encode("utf-8")).decode("utf-8") + +output = output.strip().splitlines() +for line in output: + output = json.loads(line) + if "Symbol" in output and output["Address"] in addr2len: + final_output = [ + output["Address"], + addr2len[output["Address"]], + os.path.basename(output["ModuleName"]), + output["Symbol"][0]["FileName"], + output["Symbol"][0]["FunctionName"] + ] + print("\t".join(final_output)) |