Atheris
Skill AktivAtheris is a coverage-guided Python fuzzer based on libFuzzer. Use for fuzzing pure Python code and Python C extensions.
To provide developers and security researchers with a powerful, coverage-guided fuzzing tool specifically designed for Python code and its C extensions, enabling the discovery of bugs and memory corruption issues.
Funktionen
- Coverage-guided fuzzing for Python code
- Fuzzing for Python C extensions
- Integration with libFuzzer
- AddressSanitizer support for memory corruption detection
- Comprehensive installation and setup instructions, including Docker
Anwendungsfälle
- Fuzzing pure Python libraries and applications
- Identifying memory corruption bugs in Python C extensions
- Integrating fuzzing into CI/CD pipelines
- Testing Python code for security vulnerabilities
Nicht-Ziele
- Property-based testing for complex data structures (consider Hypothesis)
- General-purpose static analysis (focus is dynamic testing)
- Fuzzing of non-Python codebases (use language-specific tools)
Workflow
- Install Atheris and necessary build tools (compiler, Python).
- Write a fuzzing harness function decorated with `@atheris.instrument_func`.
- Set up the Python environment, potentially using the provided Dockerfile.
- Execute the fuzzer using `python <your_script.py>`.
- Interpret fuzzer output for crashes, coverage increases, and potential bugs.
Praktiken
- Fuzzing
- Code Auditing
- Security Testing
Voraussetzungen
- Python 3.7 or later
- Recent version of clang
- Docker (recommended)
Trust
- warning:Issues AttentionIn the last 90 days, 13 issues were opened and 4 were closed, indicating a low closure rate (30.8%) and potentially slow maintainer response.
Installation
Zuerst Marketplace hinzufügen
/plugin marketplace add trailofbits/skills/plugin install testing-handbook-skills@trailofbitsQualitätspunktzahl
Vertrauenssignale
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