Fuzzing/Fuzz testing
Fuzzing or fuzz testing is an automated software black box testing technique that evaluates the program's reaction to providing invalid, unexpected, or random data as inputs to a computer program.
Here are 136 public repositories matching this topic...
AFLFaster (extends AFLFast with a CFG-informed mutation selection engine)
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May 11, 2017 - C
🐍 Experiments in trying to find 0-days in numpy
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Jul 1, 2017 - C
Course materials for Modern Binary Exploitation by RPISEC
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Jul 25, 2017 - C
A network protocol fuzzing test software with UI on Windows
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May 19, 2018 - C
A fuzz demo for windows driver based on IoControlCode
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May 25, 2018 - C
Tools for ripping streams out of Compound Document Files
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Jun 13, 2018 - C
Custom memory allocator that helps discover reads from uninitialized memory (portable C99 implementation)
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Oct 18, 2018 - C
OpenAI Gym environment for binary fuzzing based on afl
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Dec 12, 2018 - C
A faster version of AFL-Fuzz used for DARPA Cyber Grand Challenge with optimized scheduler code
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Jan 21, 2019 - C
Exercises to learn how to fuzz with American Fuzzy Lop
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Jan 28, 2019 - C
Created by Barton Miller
Released September 1988
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- www.cs.wisc.edu/~bart/fuzz
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