oss-fuzz-gen and PromeFuzz
These are competitors—both use LLMs to automatically generate fuzzing harnesses, with oss-fuzz-gen being Google's production-grade framework integrated with OSS-Fuzz infrastructure, while PromeFuzz offers an alternative knowledge-driven approach for the same core problem.
About oss-fuzz-gen
google/oss-fuzz-gen
LLM powered fuzzing via OSS-Fuzz.
Generates fuzz targets across C/C++, Java, and Python by prompting multiple LLMs (Vertex AI, Gemini, GPT-4) to synthesize harnesses, then evaluates them against OSS-Fuzz infrastructure using metrics like compilability, crash detection, and coverage gain versus human-written targets. The framework discovered 30+ real vulnerabilities including CVE-2024-9143 in OpenSSL, demonstrating LLM-generated targets can achieve up to 29% additional line coverage on production projects.
About PromeFuzz
pvz122/PromeFuzz
PromeFuzz: A Knowledge-Driven Approach to Fuzzing Harness Generation with Large Language Models
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