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To find memory corruption bugs in Python C extensions, you can use coverage-guided fuzzing. This approach automatically generates diverse inputs to test code paths and integrates with libFuzzer for native memory corruption detection.

Coverage-guided fuzzing for Python code is a testing technique that automatically explores code paths based on execution coverage. It generates diverse inputs to discover unexpected crashes and security vulnerabilities in pure Python scripts and native extensions.

Yes, you need clang and specific environment variables to fuzz Python C extensions. Native extension fuzzing requires clang to compile the code and integrate with libFuzzer for memory corruption detection.

Yes, you can fuzz pure Python code without native C extensions. The fuzzer targets both pure Python scripts and native C extensions to discover bugs and security vulnerabilities across your entire Python library.

Python 3.7 or higher is required for automated bug discovery using coverage-guided fuzzing. This ensures compatibility with the fuzzing framework and its integration with libFuzzer for C extensions.