Publication

FuZZan: Efficient Sanitizer Metadata Design for Fuzzing

Mathias Josef Payer
2020
Conference Papers

Abstract

Fuzzing is one of the most popular and effective techniques for finding software bugs. To detect triggered bugs, fuzzers leverage a variety of sanitizers in practice. Unfortunately, sanitizers target long running experiments-e.g., developer test suites-not fuzzing, where execution time is highly variable ranging from extremely short to long. Design decisions made for developer test suites introduce high overhead on short lived fuzzing executions, decreasing the fuzzer's throughput and thereby reducing effectiveness.

Official source

https://infoscience.epfl.ch/entities/publication/4da1f56c-5084-4803-a825-2e456668733c

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FuZZan: Efficient Sanitizer Metadata Design for Fuzzing

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