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SBFT Tool Competition 2023 -- Fuzzing Track

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arxiv 2304.10070 v2 pith:QW7SART7 submitted 2023-04-20 cs.SE

classification cs.SE
keywords fuzzerspubliclycompetitionavailablephaseallowedbenchmarksfirst
verification ladder T0 review T1 audit T2 compute T3 formal
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This report outlines the objectives, methodology, challenges, and results of the first Fuzzing Competition held at SBFT 2023. The competition utilized FuzzBench to assess the code-coverage performance and bug-finding efficacy of eight participating fuzzers over 23 hours. The competition was organized in three phases. In the first phase, participants were asked to integrate their fuzzers into FuzzBench and allowed them to privately run local experiments against the publicly available benchmarks. In the second phase, we publicly ran all submitted fuzzers on the publicly available benchmarks and allowed participants to fix any remaining bugs in their fuzzers. In the third phase, we publicly ran all submitted fuzzers plus three widely-used baseline fuzzers on a hidden set and the publicly available set of benchmark programs to establish the final results.

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  1. ZTaint-Havoc: From Havoc Mode to Zero-Execution Fuzzing-Driven Taint Inference

    cs.CR 2025-06 conditional novelty 5.0 of 10

    ZTaint-Havoc piggybacks black-box taint inference onto AFL++ havoc mutations, then biases later mutations toward the inferred hot bytes, raising average edge coverage by 2.97% on FuzzBench and 6.12% on UniBench in 24-...

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