ChatAFL
ChatAFL employs Large Language Models to advance protocol fuzzing by improving mutation processes, diversity, and overcoming coverage challenges. Integrated with AFLNet and ProfuzzBench, ChatAFL offers a comprehensive framework for evaluating network protocols, promoting advancements in cybersecurity research and applications. It facilitates faster fuzzing operations, enhanced code coverage, and seamless Docker environment customization.
