So this experiment is super interesting. And there's a ton of great new fuzzers coming out. AND I DARE YOU TO PROVE TO ME THAT SMT STUFF IS NOT JUST A HUGE WASTE OF TIME BY REDOING THIS EXPERIMENT WITH THEM! :)
In particular Angora looks extremely good. The paper is well worth a read: https://arxiv.org/abs/1803.01307 Also note: The metric we want between different fuzzers is, "what bugs does this one find that others don't". I used to leave fuzzers running for weeks at a time, and I'm always amused when the timeslots are so short. :( c.f. http://moyix.blogspot.com/2018/03/of-bugs-and-baselines.html (note that he does 1 hr for a lower bound.) -dave https://twitter.com/Zardus/status/974356926417879040 @Zardus Replying to @daveaitel @moyix I recently ran experiments on the full CGC corpus (232 single-CB bins), with AFL+dictionary and Driller+dictionary. 6-core AFL: 106 crashes, 4-core AFL + 2-core Driller == 111 crashes. 4-core AFL + 12-core driller == 118 crashes. I ran out of GCE budget to check 16-core AFL :-(
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