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118 lines
7.4 KiB
118 lines
7.4 KiB
# Important features of AFL++
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AFL++ supports llvm from 3.8 up to version 12, very fast binary fuzzing with
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QEMU 5.1 with laf-intel and Redqueen, FRIDA mode, unicorn mode, gcc plugin, full
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*BSD, Mac OS, Solaris and Android support and much, much, much more.
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## Features and instrumentation
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| Feature/Instrumentation | afl-gcc | llvm | gcc_plugin | FRIDA mode(9) | QEMU mode(10) | unicorn_mode(10) | nyx_mode(12) | coresight_mode(11) |
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| ------------------------------|:--------:|:---------:|:----------:|:--------------:|:----------------:|:----------------:|:------------:|:------------------:|
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| Threadsafe counters [A] | | x(3) | | | | | x | |
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| NeverZero [B] | x86[_64] | x(1) | x | x | x | x | | |
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| Persistent Mode [C] | | x | x | x86[_64]/arm64 | x86[_64]/arm[64] | x | | |
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| LAF-Intel / CompCov [D] | | x | | | x86[_64]/arm[64] | x86[_64]/arm[64] | x86[_64] | |
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| CmpLog [E] | | x | x | x86[_64]/arm64 | x86[_64]/arm[64] | | | |
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| Selective Instrumentation [F] | | x | x | x | x | | | |
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| Non-Colliding Coverage [G] | | x(4) | | | (x)(5) | | | |
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| Ngram prev_loc Coverage [H] | | x(6) | | | | | | |
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| Context Coverage [I] | | x(6) | | | | | | |
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| Auto Dictionary [J] | | x(7) | | | | | | |
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| Snapshot Support [K] | | (x)(8) | (x)(8) | | (x)(5) | | x | |
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| Shared Memory Test cases [L] | | x | x | x86[_64]/arm64 | x | x | x | |
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## More information about features
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A. Default is not thread-safe coverage counter updates for better performance,
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see [instrumentation/README.llvm.md](../instrumentation/README.llvm.md)
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B. On wrapping coverage counters (255 + 1), skip the 0 value and jump to 1
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instead. This has shown to give better coverage data and is the default; see
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[instrumentation/README.llvm.md](../instrumentation/README.llvm.md).
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C. Instead of forking, reiterate the fuzz target function in a loop (like
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`LLVMFuzzerTestOneInput`. Great speed increase but only works with target
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functions that do not keep state, leak memory, or exit; see
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[instrumentation/README.persistent_mode.md](../instrumentation/README.persistent_mode.md)
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D. Split any non-8-bit comparison to 8-bit comparison; see
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[instrumentation/README.laf-intel.md](../instrumentation/README.laf-intel.md)
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E. CmpLog is our enhanced
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[Redqueen](https://www.ndss-symposium.org/ndss-paper/redqueen-fuzzing-with-input-to-state-correspondence/)
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implementation, see
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[instrumentation/README.cmplog.md](../instrumentation/README.cmplog.md)
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F. Similar and compatible to clang 13+ sancov sanitize-coverage-allow/deny but
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for all llvm versions and all our compile modes, only instrument what should
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be instrumented, for more speed, directed fuzzing and less instability; see
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[instrumentation/README.instrument_list.md](../instrumentation/README.instrument_list.md)
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G. Vanilla AFL uses coverage where edges could collide to the same coverage
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bytes the larger the target is. Our default instrumentation in LTO and
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afl-clang-fast (PCGUARD) uses non-colliding coverage that also makes it
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faster. Vanilla AFL style is available with `AFL_LLVM_INSTRUMENT=AFL`; see
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[instrumentation/README.llvm.md](../instrumentation/README.llvm.md).
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H.+I. Alternative coverage based on previous edges (NGRAM) or depending on the
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caller (CTX), based on
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[https://www.usenix.org/system/files/raid2019-wang-jinghan.pdf](https://www.usenix.org/system/files/raid2019-wang-jinghan.pdf);
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see [instrumentation/README.llvm.md](../instrumentation/README.llvm.md).
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J. An LTO feature that creates a fuzzing dictionary based on comparisons found
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during compilation/instrumentation. Automatic feature :) See
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[instrumentation/README.lto.md](../instrumentation/README.lto.md)
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K. The snapshot feature requires a kernel module that was a lot of work to get
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right and maintained so it is no longer supported. We have
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[nyx_mode](../nyx_mode/README.md) instead.
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L. Faster fuzzing and less kernel syscall overhead by in-memory fuzz testcase
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delivery, see
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[instrumentation/README.persistent_mode.md](../instrumentation/README.persistent_mode.md)
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## More information about instrumentation
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1. Default for LLVM >= 9.0, environment variable for older version due an
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efficiency bug in previous llvm versions
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2. GCC creates non-performant code, hence it is disabled in gcc_plugin
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3. With `AFL_LLVM_THREADSAFE_INST`, disables NeverZero
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4. With pcguard mode and LTO mode for LLVM 11 and newer
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5. Upcoming, development in the branch
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6. Not compatible with LTO instrumentation and needs at least LLVM v4.1
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7. Automatic in LTO mode with LLVM 11 and newer, an extra pass for all LLVM
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versions that write to a file to use with afl-fuzz' `-x`
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8. The snapshot LKM is currently unmaintained due to too many kernel changes
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coming too fast :-(
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9. FRIDA mode is supported on Linux and MacOS for Intel and ARM
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10. QEMU/Unicorn is only supported on Linux
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11. Coresight mode is only available on AARCH64 Linux with a CPU with Coresight
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extension
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12. Nyx mode is only supported on Linux and currently restricted to x86_x64
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## Integrated features and patches
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Among others, the following features and patches have been integrated:
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* NeverZero patch for afl-gcc, instrumentation, QEMU mode and unicorn_mode which
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prevents a wrapping map value to zero, increases coverage
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* Persistent mode, deferred forkserver and in-memory fuzzing for QEMU mode
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* Unicorn mode which allows fuzzing of binaries from completely different
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platforms (integration provided by domenukk)
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* The new CmpLog instrumentation for LLVM and QEMU inspired by
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[Redqueen](https://github.com/RUB-SysSec/redqueen)
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* Win32 PE binary-only fuzzing with QEMU and Wine
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* AFLfast's power schedules by Marcel Böhme:
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[https://github.com/mboehme/aflfast](https://github.com/mboehme/aflfast)
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* The MOpt mutator:
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[https://github.com/puppet-meteor/MOpt-AFL](https://github.com/puppet-meteor/MOpt-AFL)
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* LLVM mode Ngram coverage by Adrian Herrera
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[https://github.com/adrianherrera/afl-ngram-pass](https://github.com/adrianherrera/afl-ngram-pass)
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* LAF-Intel/CompCov support for instrumentation, QEMU mode and unicorn_mode
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(with enhanced capabilities)
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* Radamsa and honggfuzz mutators (as custom mutators).
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* QBDI mode to fuzz android native libraries via Quarkslab's
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[QBDI](https://github.com/QBDI/QBDI) framework
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* Frida and ptrace mode to fuzz binary-only libraries, etc.
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So all in all this is the best-of AFL that is out there :-) |