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An Empirical Study of OSS-Fuzz Bugs

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arxiv 2103.11518 v1 pith:5Q7PFE2Y submitted 2021-03-21 cs.SE cs.CR

Zhen Yu Ding , Claire Le Goues This is my paper · ORCID
classification cs.SEcs.CR
keywords bugsfuzzingoss-fuzzoftencampaignscontinuousdevelopersempirical
verification ladder T0 review T1 audit T2 compute T3 formal
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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.

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  1. Human Side of Smart Contract Fuzzing: An Empirical Study

    cs.HC 2025-06 conditional novelty 6.0 of 10

    A qualitative study identifies domain-specific usability and usefulness barriers in smart contract fuzzing tools, with a taxonomy from GitHub issues and a six-participant user study.

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