# An Empirical Study of OSS-Fuzz Bugs

arXiv: https://arxiv.org/abs/2103.11518 · HTML: https://mlsanity.com/paper/2103.11518/

## Key facts

- Cited by 7 papers in the map (data through 14 Oct 2026).
- First posted on arXiv 21 Mar 2021.

## Built on by (most cited first, 7 of 7)

- [FalseCrashReducer: Mitigating False Positive Crashes in OSS-Fuzz-Gen Using Agentic AI](https://mlsanity.com/paper/2510.02185/) (2025)
- [Reinforcement learning guided fuzz testing for a browser's HTML rendering engine](https://mlsanity.com/paper/2307.14556/) (2023)
- [Predicting Likely-Vulnerable Code Changes: Machine Learning-based Vulnerability Protections for Android Open Source Project](https://mlsanity.com/paper/2405.16655/) (2024)
- [Fuzzing with Agents? Generators Are All You Need](https://mlsanity.com/paper/2604.01442/) (2026)
- [Agentic Method for Deterministic Validation of Legacy Code Migration](https://mlsanity.com/paper/2607.28271/) (2026)
- [Large Language Models at the Intersection of Software Engineering and Software Security:An Evidence-Centered Structured Survey and Research Agenda](https://mlsanity.com/paper/2608.21107/) (2026)
- [CyberFactory: Scaling Cyber Security Capabilities with Instances from the Wild](https://mlsanity.com/paper/2608.23181/) (2026)

## Abstract (arXiv)

Continuous fuzzing is an increasingly popular technique for automated quality and security assurance. Google maintains OSS-Fuzz: a continuous fuzzing service for open source software. We conduct the first empirical study of OSS-Fuzz, analyzing 23,907 bugs found in 316 projects. We examine the characteristics of fuzzer-found faults, the lifecycles of such faults, and the evolution of fuzzing campaigns over time. We find that OSS-Fuzz is often effective at quickly finding bugs, and developers are often quick to patch them. However, flaky bugs, timeouts, and out of memory errors are problematic, people rarely file CVEs for security vulnerabilities, and fuzzing campaigns often exhibit punctuated equilibria, where developers might be surprised by large spikes in bugs found. Our findings have implications on future fuzzing research and practice.