Description

Fuzzing is currently a thriving research area in the cybersecurity field. This work begins by introducing code that brings partial replayability capabilities to AFL++ in an attempt to solve the challenge of the highly random nature of fuzzing that comes

Fuzzing is currently a thriving research area in the cybersecurity field. This work begins by introducing code that brings partial replayability capabilities to AFL++ in an attempt to solve the challenge of the highly random nature of fuzzing that comes from the large amount of random mutations on input seeds. The code addresses two of the three sources of nondeterminism described in this work. Furthermore, this work introduces Fuzzing Debugger (FDB), a highly configurable framework to facilitate the debugging of fuzzing by interfacing with GDB. Three debugging modes are described which attempt to tackle two use cases of FDB: (1) pinpointing nondeterminism in fuzz runs, therefore paving the way for replayable fuzz runs and (2) systematically finding preferable stopping points seed analysis.

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    Title
    • FDB: A Framework for Flexible and Efficient Fuzzer Debugging
    Contributors
    Date Created
    2023-05
    Resource Type
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