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Building Fast Fuzzers

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Rahul Gopinath: Announcing the world’s fastest (grammar) fuzzer, producing millions of test cases per second: https://arxiv.org/abs/1911.07707 Try out our F1 prototype at https://pypi.org/project/F1-Fuzzer

2 replies, 415 likes


Brandon Falk: Gonna start a new series on my Twitch (https://twitch.tv/gamozo) called "Paper Review". Tonight (undetermined stream time) we're gonna look through the "Building Fast Fuzzers" paper, which is the "worlds fastest grammar fuzzer" https://arxiv.org/pdf/1911.07707.pdf

5 replies, 134 likes


Rohan Padhye: Really cool stuff! Key insight: A grammar-based fuzzer is essentially an interpreter for a random bitstream in the language of grammar symbols. F1 applies tricks from VM-land such as supercompilation and context threading to get massive speedups in input generation. https://t.co/EPPfXqV34L

1 replies, 64 likes


Binni Shah: Building Fast Fuzzers : https://arxiv.org/pdf/1911.07707.pdf (pdf)

0 replies, 47 likes


Andreas Zeller: And here comes our “world’s fastest fuzzier”, just announced at #FacebookTAV minutes ago. F1 compiles a grammar into a super-optimized producer; if you need megabytes of valid inputs per second, F1 is there for you. Kudos to @_rahulgopinath!

1 replies, 34 likes


Brandon Falk: People caring about perf in fuzzing <3

1 replies, 33 likes


FuzzingBook: Soon to be a chapter of @FuzzingBook!

0 replies, 22 likes


Jean Yang ✨: Super cool. I used to be skeptical about blackbox testing because I had a real thing for precisely modeling the semantics of everything, but if you accept that real software is an unknowable mystery, then this is really The Way.

3 replies, 21 likes


Murmus: I love this idea. Having knowledgeable people reading public papers on stream sounds great. I'd also love it for crypto stuff, or other areas I really don't know well enough to talk to.

2 replies, 11 likes


/r/netsec: Building Fast Fuzzers https://arxiv.org/abs/1911.07707

0 replies, 11 likes


Nicolas Krassas: Building Fast Fuzzers https://arxiv.org/abs/1911.07707

0 replies, 3 likes


James Willy: It's good theoretical support for fuzzing. #fuzzing #analysis #develop https://arxiv.org/pdf/1911.07707.pdf

0 replies, 1 likes


Content

Found on Nov 20 2019 at https://arxiv.org/pdf/1911.07707.pdf

PDF content of a computer science paper: Building Fast Fuzzers