2020
DOI: 10.48550/arxiv.2008.01150
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Evolutionary Grammar-Based Fuzzing

Abstract: A fuzzer provides randomly generated inputs to a targeted software to expose erroneous behavior. To efficiently detect defects, generated inputs should conform to the structure of the input format and thus, grammars can be used to generate syntactically correct inputs. In this context, fuzzing can be guided by probabilities attached to competing rules in the grammar, leading to the idea of probabilistic grammarbased fuzzing. However, the optimal assignment of probabilities to individual grammar rules to effect… Show more

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References 29 publications
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