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Building Fast Fuzzers


Nov 20 2019 Rahul Gopinath

Announcing the world’s fastest (grammar) fuzzer, producing millions of test cases per second: Try out our F1 prototype at
2 replies, 415 likes

Nov 20 2019 Brandon Falk

Gonna start a new series on my Twitch ( called "Paper Review". Tonight (undetermined stream time) we're gonna look through the "Building Fast Fuzzers" paper, which is the "worlds fastest grammar fuzzer"
5 replies, 134 likes

Nov 20 2019 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.
1 replies, 64 likes

Nov 21 2019 Binni Shah

Building Fast Fuzzers : (pdf)
0 replies, 47 likes

Nov 20 2019 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

Nov 20 2019 Brandon Falk

People caring about perf in fuzzing <3
1 replies, 33 likes

Nov 21 2019 FuzzingBook

Soon to be a chapter of @FuzzingBook!
0 replies, 22 likes

Nov 21 2019 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

Nov 20 2019 /r/netsec

Building Fast Fuzzers
0 replies, 11 likes

Nov 20 2019 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

Nov 21 2019 Nicolas Krassas

Building Fast Fuzzers
0 replies, 3 likes

Nov 21 2019 James Willy

It's good theoretical support for fuzzing. #fuzzing #analysis #develop
0 replies, 1 likes


PDF content of a computer science paper: Building Fast Fuzzers"