google/oss-fuzz-gen

Health v2 · maintenance only

Flags: no_releases

Adoption not part of the score

1443 stars · 225 forks observed · 2026-10-15

What it is AI-extracted, prompt v1, taxonomy v1, 2026-08-30, confidence not recorded

A Google framework that uses large language models to automatically generate fuzz targets for real-world C/C++, Java, and Python projects, benchmarking them via the OSS-Fuzz platform. It evaluates generated targets on compilability, crashes, and coverage, and has discovered real vulnerabilities in open-source projects.

Use cases

• generate fuzz targets automatically with LLMs
• find vulnerabilities in open-source C/C++ projects
• benchmark LLM code generation for fuzzing
• evaluate coverage of generated fuzz harnesses
• run agent-based fuzz target experiments
• compare Gemini and GPT models on fuzzing tasks

When to choose

• you maintain an OSS-Fuzz project and want AI-generated fuzz targets
• you're researching LLM effectiveness for security testing
• you want to scale fuzz target writing across many projects

When to avoid

• you need a general-purpose fuzzer rather than target generation
• you can't access commercial LLM APIs
• your project isn't compatible with OSS-Fuzz

Facets

framework · maturity active

fuzzing llm-inference agent-framework security benchmarking testing security developer-tools large-language-models testing artificial-intelligence python cloud fuzz-target-generation oss-fuzz llm-benchmarking vulnerability-discovery automated-testing linux docker

Member repositories

For agents

markdown · JSON · MCP: product_card(name="google/oss-fuzz-gen")