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Coverage-guided fuzzing finds bugs in Python code by automatically generating diverse inputs to explore code paths efficiently. It leverages libFuzzer to detect crashes and security vulnerabilities during execution.

Yes, you can fuzz Python C extensions for memory corruption bugs. The tool supports fuzzing compiled C extensions by leveraging libFuzzer and AddressSanitizer to detect memory issues.

The best way to automate security testing for Python libraries is using coverage-guided fuzzing. This approach automatically generates diverse inputs to test code paths and discover crashes or vulnerabilities.

AddressSanitizer is not required to fuzz pure Python code, but it is leveraged when fuzzing compiled Python C extensions. The tool supports both pure Python and C extension fuzzing to find bugs.

To start fuzzing a Python script, use the tool to run against your target script, such as 'fuzz_target.py'. The coverage-guided fuzzer will automatically generate inputs to explore code paths.

Fuzzing discovers security vulnerabilities that standard unit testing misses by automatically generating diverse, unexpected inputs. It efficiently explores code paths using libFuzzer to find crashes and memory corruption bugs.