tree: 17e71db96fefc51f14563bb47f5e379180601921 [path history] [tgz]
  1. AFL_integration.md
  2. BUILD.gn
  3. OWNERS
  4. README.md
  5. archive_corpus.py
  6. dictionary_generator.py
  7. efficient_fuzzing.md
  8. fuzzer_test.gni
  9. fuzzers/
  10. gen_fuzzer_config.py
  11. gen_fuzzer_owners.py
  12. getting_started.md
  13. libFuzzer_integration.md
  14. libfuzzer_exports.h
  15. libprotobuf-mutator.md
  16. proto/
  17. reference.md
  18. reproducing.md
  19. tests/
  20. unittest_main.cc
  21. zip_sources.py
testing/libfuzzer/README.md

Fuzzing in Chromium

go/chrome-fuzzing

Fuzzing is a testing technique that feeds randomized inputs to a target code in an attempt to crash it. It's one of the most effective methods we have for finding security and stability issues (go/fuzzing-success).

This documentation covers the in-process guided fuzzing approach employed by different fuzzing engines, such as libFuzzer or AFL. To learn more about out-of-process fuzzers, please refer to the Blackbox fuzzing page in the ClusterFuzz documentation.

Getting Started

In Chromium, you can easily create and submit fuzz targets. The targets are automatically discovered by buildbots, built with different fuzzing engines, then uploaded to the distributed ClusterFuzz fuzzing system to run at scale.

Create your first fuzz target and submit it by stepping through our Getting Started Guide.

Advanced Topics

Further Reading

Trophies

Other Links