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AFLFaster (extends AFLFast with a CFG-informed mutation selection engine)

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AFLFaster

Fork of Bohme et al's AFLFast. We introduce coverage-guided greybox fuzzing technique to improve AFL's performance by leveraging static and dynamic CFG analysis to guide mutation selection.

Gary Lin, Kevin Zeng, Jason Zhao.
COMS 4995.007: Secure Software Development. Spring 2017.
Columbia University in the City of New York.

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AFLFaster (extends AFLFast with a CFG-informed mutation selection engine)

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