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On the Effectiveness of Mutational Grammar Fuzzing
Researchers examined the effectiveness of mutational grammar fuzzing, a technique that maintains structural validity while mutating test inputs through predefined grammars. The analysis identifies a critical flaw: achieving greater code coverage does not necessarily lead to finding more bugs, particularly in structure-aware fuzzing of languages where bugs require specific function call sequences and data dependencies. The author proposes techniques to address this limitation in fuzzing workflows.
Why it matters: Developers and security researchers using fuzzing for vulnerability discovery need to understand that coverage metrics alone are insufficient for bug detection; grammar fuzzing improvements could enhance the discovery of complex issues in language implementations, compilers, and parsers.
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