LIBAFL LIBFUZZER: LIBFUZZER on Top of LIBAFL

Addison Crump, Andrea Fioraldi, D. Maier, Dongjia Zhang
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Abstract

General-purpose fuzzing has come into the public eye, with many researchers developing new fuzzers to improve on the state of the art. LIBAFL, developed by the group which originally made AFL++, offers researchers the ability to develop fuzzers at a component level, allowing researchers to simply develop their own components rather than modifying an existing fuzzer. This allows for more straightforward comparisons of fuzzers, allowing researchers to experiment with the removal and addition of individual components, without compromising on the flexibility of fuzzer development. To demonstrate this flexibility and offer alternative frontends to the community, we developed two fuzzers: LIBAFL_LIBFUZZER and AFLRUSTRUST, the former of which is discussed here as a drop-in replacement for LIBFUZZER and the latter in a sister report as a drop-in replacement for AFL++. We find that LIBAFL_LIBFUZZER performed very well on the coverage benchmarks while struggling with the bug-based benchmarks conducted in the SBFT fuzzing competition, and discover and analyse which fuzzer features and bugs led to this underperformance.
通用模糊测试已经进入了公众的视野,许多研究人员开发了新的模糊测试器来改进目前的技术水平。LIBAFL是由最初制作afl++的小组开发的,它为研究人员提供了在组件级别开发fuzzers的能力,允许研究人员简单地开发自己的组件,而不是修改现有的fuzzers。这样可以更直接地比较模糊器,允许研究人员进行去除和添加单个组件的实验,而不会影响模糊器开发的灵活性。为了展示这种灵活性并为社区提供可选的前端,我们开发了两个fuzzer: LIBAFL_LIBFUZZER和AFLRUSTRUST,其中前者作为LIBFUZZER的直接替代品在这里讨论,后者作为afl++的直接替代品在姊妹报告中讨论。我们发现LIBAFL_LIBFUZZER在覆盖基准测试中表现非常好,同时在SBFT模糊测试比赛中进行基于bug的基准测试,并发现和分析哪些模糊测试功能和bug导致了这种性能不佳。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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