atheris

Coverage-guided fuzzing with Atheris identifies memory safety bugs in Python C extensions by instrumenting imports and integrating AddressSanitizer. It helps discover crashes and vulnerabilities in native components across local, CI, or Docker environments.

Coverage-guided fuzzing is a testing mechanism that tracks code execution paths to generate inputs maximizing coverage. Use it to discover crashes, logic bugs, and security vulnerabilities in Python libraries and native extensions during development.

Set up a Docker-based fuzzing environment for Python by configuring Atheris with AddressSanitizer and compiler flags. This environment manages corpora and runs fuzz campaigns to identify vulnerabilities across pure Python and native components.

Yes, Atheris works with AddressSanitizer to fuzz Python projects. It combines libFuzzer instrumentation with sanitizer configuration to detect memory-safety violations and crashes in both pure Python code and native C extensions.

LD_PRELOAD configuration failures during native extension fuzzing usually stem from incorrect compiler flag setup or sanitizer loading issues. Troubleshooting these settings ensures Atheris properly instruments and loads native components during fuzz campaigns.

Write a fuzzing harness for Python libraries by defining a function that accepts byte data and passes it to your target module. Manage corpora by storing valid inputs to guide Atheris coverage and maximize bug discovery.