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FSE2020 - Boosting Fuzzer Efficiency_ An Information-Theoretic Perspective-20200603T053904Z-001.zip (140.15 MB)
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Entropic-Boosting-LibFuzzer-Performance.patch (21.79 kB)
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entropic_sources.zip (159.39 MB)
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FSE2020 - Boosting Fuzzer Efficiency An Information-Theoretic Perspective
Version 2 2020-06-23, 10:44
Version 1 2020-06-03, 07:43
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posted on 2020-06-23, 10:44 authored by Valentin ManèsValentin Manès, Marcel BoehmeMarcel Boehme, Sang Kil ChaEntropic is an information-theoretic power schedule implemented into LibFuzzer. It boosts performance by changing how weights are assigned to the seeds in the corpus. Seeds revealing more ‘‘information’’ about globally rare features are assigned a higher weight.
Funding
Fortifying our digital economy: advanced automated vulnerability discovery
Australian Research Council
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