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Awesome Fuzzing
https://github.com/cybersecurity-dev/awesome-fuzzing

List: awesome-fuzzing

fuzz-testing fuzzing vulnerability vulnerability-detection

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Awesome Fuzzing

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# Awesome [Fuzzing](https://en.wikipedia.org/wiki/Fuzzing) [![Awesome](https://awesome.re/badge.svg)](https://awesome.re)
[![YouTube](https://img.shields.io/badge/YouTube-%23FF0000.svg?style=for-the-badge&logo=YouTube&logoColor=white)](https://youtube.com/playlist?list=PL9V4Zu3RroiV_R_JO1M6qe51oOu55RZaS&si=-vPkad3dFEA-3OxO) [![Reddit](https://img.shields.io/badge/Reddit-FF4500?style=for-the-badge&logo=reddit&logoColor=white)](https://www.reddit.com/r/fuzzing/)


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**Fuzzing** (**_or fuzz testing_**) is a software testing technique that involves providing unexpected, invalid, or random data (also known as "**fuzz**") as input to a program to identify potential bugs, **_security [vulnerabilities](https://github.com/cybersecurity-dev/awesome-vulnerability-research)_**, and crashes.

## Code Analysis
* [Opengrep](https://github.com/opengrep/opengrep) - 🔎 Static code analysis engine to find security issues in code.

## Tools
* [afl.rs](https://github.com/rust-fuzz/afl.rs) - [Fuzzing](https://rust-fuzz.github.io/book/afl.html) Rust code with [American Fuzzy Lop](https://lcamtuf.coredump.cx/afl/)
* [AFL++](https://github.com/AFLplusplus/AFLplusplus) - The fuzzer [afl++](https://aflplus.plus/) is afl with community patches, qemu 5.1 upgrade, collision-free coverage, enhanced laf-intel & redqueen, AFLfast++ power schedules, MOpt mutators, unicorn_mode, and a lot more!
* [OSS-Fuzz](https://github.com/google/oss-fuzz) - [OSS-Fuzz](https://google.github.io/oss-fuzz/), continuous fuzzing for open source software.
* [syzkaller - kernel fuzzer](https://github.com/google/syzkaller) - [syzkaller](https://github.com/google/syzkaller/blob/master/docs/talks.md) is an unsupervised coverage-guided kernel fuzzer

## Resources

### Tutorial
* [Fuzzing101](https://github.com/antonio-morales/Fuzzing101) - An step by step fuzzing tutorial. A [GitHub Security Lab](https://securitylab.github.com/) initiative