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README.rst | ||
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fuzz_tests.txt | ||
fuzzer.c |
README.rst
Fuzz Tests for CPython ====================== These fuzz tests are designed to be included in Google's `oss-fuzz`_ project. oss-fuzz works against a library exposing a function of the form ``int LLVMFuzzerTestOneInput(const uint8_t* data, size_t length)``. We provide that library (``fuzzer.c``), and include a ``_fuzz`` module for testing with some toy values -- no fuzzing occurs in Python's test suite. oss-fuzz will regularly pull from CPython, discover all the tests in ``fuzz_tests.txt``, and run them -- so adding a new test here means it will automatically be run in oss-fuzz, while also being smoke-tested as part of CPython's test suite. Adding a new fuzz test ---------------------- Add the test name on a new line in ``fuzz_tests.txt``. In ``fuzzer.c``, add a function to be run:: int $test_name (const char* data, size_t size) { ... return 0; } And invoke it from ``LLVMFuzzerTestOneInput``:: #if _Py_FUZZ_YES(fuzz_builtin_float) rv |= _run_fuzz(data, size, fuzz_builtin_float); #endif ``LLVMFuzzerTestOneInput`` will run in oss-fuzz, with each test in ``fuzz_tests.txt`` run separately. What makes a good fuzz test --------------------------- Libraries written in C that might handle untrusted data are worthwhile. The more complex the logic (e.g. parsing), the more likely this is to be a useful fuzz test. See the existing examples for reference, and refer to the `oss-fuzz`_ docs. .. _oss-fuzz: https://github.com/google/oss-fuzz