Fuzzapi

Continuous Security Testing for SaaS Companies - Built by Hackers Automatically assess your security posture with continuous vulnerability assessments and on-demand pentests. Hackers don't stop testing, and neither should you. We use a hybrid approach that combines testing methodologies built by expert hackers, a real-time reporting dashboard, and continuous delivery of high-quality results. We improve the traditional pentesting lifecycle by continually providing expert advice, remediation verification, and automated security testing throughout the entire year. Our dedicated team of experts works with you to properly scope and review your applications, APIs, and networks to ensure in-depth testing coverage all year. Let us help you sleep better at night.

Atheris is a coverage-guided Python fuzzing engine. It supports fuzzing of Python code, but also native extensions written for CPython. Atheris is based on libFuzzer. When fuzzing native code, Atheris can be used to catch extra bugs. Atheris supports Linux (32- and 64-bit) and Mac OS X, with Python versions 3.6-3.10. It comes with a built-in libFuzzer, which is fine for fuzzing Python code. If you plan to fuzz native extensions, you may need to build from source to ensure the libFuzzer version in Atheris matches your Clang version. Atheris relies on libFuzzer, which is distributed with Clang. Apple Clang doesn't come with libFuzzer, so you'll need to install a new version of LLVM. Atheris is based on a coverage-guided mutation-based fuzzer (LibFuzzer). This has the advantage of not requiring any grammar definition for generating inputs, making its setup easier. The disadvantage is that it will be harder for the fuzzer to generate inputs for code that parses complex data types.