Zeror: Speed Up Fuzzing with Coverage-sensitive Tracing and Scheduling

Chijin Zhou, Mingzhe Wang, Jie Liang, Zhe Liu, Yu Jiang

Abstract

Coverage-guided fuzzing is one of the most popular software testing techniques for vulnerability detection. While effective, current fuzzing methods suffer from significant performance penalty due to instrumentation overhead, which limits its practical use. Existing solutions improve the fuzzing speed by decreasing instrumentation overheads but sacrificing coverage accuracy, which results in unstable performance of vulnerability detection.

BibTeX

@inproceedings{Zhou-al:ASE20,
  author    = {Chijin Zhou and
               Mingzhe Wang and
               Jie Liang and
               Zhe Liu and
               Yu Jiang},
  title     = {Zeror: Speed Up Fuzzing with Coverage-sensitive Tracing and Scheduling},
  booktitle = {ASE},
  pages     = {858--870},
  publisher = {{IEEE}},
  year      = {2020},
}

Zeror: Speed Up Fuzzing with Coverage-sensitive Tracing and Scheduling

Abstract

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