BigEye
BigEye is an autonomous fuzzing campaign manager that turns a source repository into a continuously managed, inspectable security campaign. BigEye is not a new fuzzing engine. It manages AFL++ and libFuzzer for maintainers, security researchers, product-security engineers and application-security teams that need useful fuzzing to continue after the first harness has been generated. BigEye was submitted to OpenAI Build Week. At the time of writing, it is under evaluation.
21 Jul 2026
LibAFLstar: Fast and State-Aware Protocol Fuzzing
23 Sep 2025
α
The project aims to develop a fuzzing framework based on LibAFL for multi-process applications. The name is a placeholder and will be revealed after publication.
1 Aug 2025
Poster: Machine Learning for Vulnerability Detection as Target Oracle in Automated Fuzz Driver Generation
10 Jul 2025
LibAFLstar
LibAFLstar is a fast and state-aware protocol fuzzer that addresses the challenges of fuzzing stateful software systems. Unlike stateless approaches, LibAFLstar efficiently explores state models, focuses on interesting states, tracks relevant messages per state, and handles expensive system restarts.
21 Jun 2025
Fuzzing Matter(s): A White Paper for Fuzzing the Matter Protocol
28 Feb 2024
Fuzzing Matter(s)
Leading the project based on the paper “Fuzzing Matter(s): A White Paper for Fuzzing the Matter Protocol”, which aims to perform stateful fuzzing of Matter-enabled device.
23 Feb 2024
Forkfuzz: Leveraging the Fork-Awareness in Coverage-Guided Fuzzing
28 Feb 2023
Evaluating the Fork-Awareness of Coverage-Guided Fuzzers
24 Feb 2023