LLM powered fuzzing via OSS-Fuzz.

Fuzzing Embedded Systems using Hardware Breakpoints

UT based automated fuzz driver generation

The fuzzer afl++ 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!

A LLVM Sanitizer for Symbolic Tracing

A fuzzing framework targeted at MQTT brokers. Modeled as a finite state machine (using Markov Modeling).

GraphFuzz is an experimental framework for building structure-aware, library API fuzzers.

A universal seed scheduler for fuzzers (LibFuzzer and AFL havoc mode) and concolic execution engine (qsym).

Fuzzware's main repository. Start here to install.

Challenging testcases for fuzzers

Python network visualization app using NetworkX, Plotly, Dash

StateAFL: A Greybox Fuzzer for Stateful Network Servers

Rust explained using easy English

a distributed deep learning platform

Library for the analysis of networks

A library for performing coverage guided fuzzing of neural networks

DeepXplore code release

A regression greybox fuzzer aflchurn

Advanced Fuzzing Library - Slot your Fuzzer together in Rust! Scales across cores and machines. For Windows, Android, MacOS, Linux, no_std, ...

Winnie makes fuzzing Windows applications easy

CollabFuzz: A Framework for Collaborative Fuzzing

Angora is a mutation-based fuzzer. The main goal of Angora is to increase branch coverage by solving path constraints without symbolic execution.

SymCC: efficient compiler-based symbolic execution