Fuzz Python functions and C extensions to discover crashes and memory-safety bugs.
npx skills add https://github.com/ayehiaa/my-travel-assistant --skill atheris-ayehiaa
Please help me install this Agent Skill. Skill: atheris Source: https://github.com/ayehiaa/my-travel-assistant/tree/main/.agents/skills/atheris Command: npx skills add https://github.com/ayehiaa/my-travel-assistant --skill atheris-ayehiaa
Atheris helps you find crashes and memory-safety bugs in Python programs by generating inputs that increase code coverage until something breaks.
test_one_input(data: bytes) entry point and run repeated fuzzing campaigns.Use case example: You maintain a Python package with a C extension that parses untrusted binary inputs; run Atheris to stress the parser and surface memory corruption with ASan.
Run the Atheris harness by executing your fuzz script (for example, python fuzz.py).
High-intent search queries and answers about installing and using this skill.
Fuzz Python code by instrumenting functions with `@atheris.instrument_func` or `atheris.instrument_imports()`, defining a `test_one_input(data: bytes)` harness, calling `atheris.Setup()`, and running `atheris.Fuzz()` to generate inputs that increase code coverage until crashes occur.
Yes, you can fuzz Python C extensions by configuring AddressSanitizer and LD_PRELOAD during your fuzzing campaign to detect memory corruption in compiled native extensions that parse untrusted byte inputs.
Coverage-guided fuzzing instruments Python code so the fuzzer steers input generation toward new execution paths, continuously mutating byte inputs to increase code coverage until a crash or memory-safety bug is discovered.
Set up a fuzzing harness by creating a Python script with a `test_one_input(data: bytes)` entry function, instrumenting it with `atheris.instrument_func`, initializing with `atheris.Setup(sys.argv, test_one_input)`, and executing the script with `python fuzz.py`.
Yes, Atheris supports harness-based fuzz campaigns with corpora and parallel jobs to stress pure Python functions and C extensions by running repeated fuzzing campaigns with coverage-guided input generation.
AddressSanitizer is required when fuzzing native Python extensions to detect memory corruption and memory-safety bugs that coverage-guided fuzzing surfaces in compiled C code parsing untrusted binary inputs.
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