Bug: 111264136

Clone this repo:
  1. bee061e Merge "Merge tag '2.3' into master" am: 5fb79d2bbb by Thiébaud Weksteen · 5 weeks ago master
  2. 5fb79d2 Merge "Merge tag '2.3' into master" by Thiébaud Weksteen · 5 weeks ago
  3. 159c091 Update OWNERS file am: 0578e56137 by Thiébaud Weksteen · 6 weeks ago
  4. 0578e56 Update OWNERS file by Thiébaud Weksteen · 6 weeks ago
  5. 6efc737 Merge tag '2.3' into master by Thiébaud Weksteen · 8 weeks ago

Honggfuzz

Description

A security oriented, feedback-driven, evolutionary, easy-to-use fuzzer with interesting analysis options. See the Usage document for a primer on Honggfuzz use.

Code

Features

  • It‘s multi-process and multi-threaded: there’s no need to run multiple copies of your fuzzer, as honggfuzz can unlock potential of all your available CPU cores with a single running instance. The file corpus is automatically shared and improved between all fuzzed processes.
  • It's blazingly fast when the persistent fuzzing mode) is used. A simple/empty LLVMFuzzerTestOneInput function can be tested with up to 1mo iterations per second on a relatively modern CPU (e.g. i7-6700K).
  • Has a solid track record of uncovered security bugs: the only (to the date) vulnerability in OpenSSL with the critical score mark was discovered by honggfuzz. See the Trophies paragraph for the summary of findings to the date.
  • Uses low-level interfaces to monitor processes (e.g. ptrace under Linux and NetBSD). As opposed to other fuzzers, it will discover and report hijacked/ignored signals from crashes (intercepted and potentially hidden by a fuzzed program).
  • Easy-to-use, feed it a simple corpus directory (can even be empty for the feedback-driven fuzzing), and it will work its way up, expanding it by utilizing feedback-based coverage metrics.
  • Supports several (more than any other coverage-based feedback-driven fuzzer) hardware-based (CPU: branch/instruction counting, Intel BTS, Intel PT) and software-based feedback-driven fuzzing modes. Also, see the new qemu mode for blackbox binary fuzzing.
  • Works (at least) under GNU/Linux, FreeBSD, NetBSD, Mac OS X, Windows/CygWin and Android.
  • Supports the persistent fuzzing mode (long-lived process calling a fuzzed API repeatedly). More on that can be found here.
  • It comes with the examples directory, consisting of real world fuzz setups for widely-used software (e.g. Apache HTTPS, OpenSSL, libjpeg etc.).
  • Provides a corpus minimization mode.


Requirements

  • Linux - The BFD library (libbfd-dev) and libunwind (libunwind-dev/libunwind8-dev), clang-5.0 or higher for software-based coverage modes
  • FreeBSD - gmake, clang-5.0 or newer
  • NetBSD - gmake, clang, capstone, libBlocksRuntime
  • Android - Android SDK/NDK. Also see this detailed doc on how to build and run it
  • Windows - CygWin
  • Darwin/OS X - Xcode 10.8+
  • if Clang/LLVM is used to compile honggfuzz - link it with the BlocksRuntime Library (libblocksruntime-dev)

Trophies

Honggfuzz has been used to find a few interesting security problems in major software packages; An incomplete list:

Projects utilizing or inspired-by Honggfuzz

Contact

This is NOT an official Google product