* The 8 new fuzzers are: AFL+++, AFLrustrust, AFLsmart++, HasteFuzz, LearnPerfFuzz, LibAFL_libFuzzer , Pastis, and symsan.
** The 4 baseline fuzzers are: AFL, AFL++, HonggFuzz, and libFuzzer.
They are evaluated by #FuzzBench from Google Open Source Security Team (GOSST).
Fuzzing binaries via LibAFL-QEMU! Presented by Romain Malmain of s3eurecom Andrea Fioraldi Aurélien Francillon Advanced Fuzzing League #BAR24
LibAFL-based AFLplusplus (co-)found the most bugs in the fuzzing competition 🎉
Great work Andrea Fioraldi [email protected] Dongjia "toka" Zhang Addison Crump
(1/2)
In case you missed it, this is a very cool series about fuzzing and LibAFL by Ben 'epi' Risher
Fuzzing Xpdf: epi052.gitlab.io/notes-to-self/…
Speed Improvements: epi052.gitlab.io/notes-to-self/…
Fuzzing libexif: epi052.gitlab.io/notes-to-self/…
#fuzzing #libafl #infosec #learning #cybersecurity
Boss is evaluating Advanced Fuzzing League’s libafl to see whether it will help him find more bugs 🦗
Jordan (Jordan Whitehead) put together an awesome tutorial on getting started with LibAFL on our blog! atredis.com/blog/2023/12/4…
Also, be sure to check out his symbolic execution training at RingZer0 in Austin (and virtually) the week of February 10: ringzer0.training/trainings/prac…
Ben 'epi' Risher (2/2)
Fuzzing tcpdump: epi052.gitlab.io/notes-to-self/…
Fuzzing LibTIFF: epi052.gitlab.io/notes-to-self/…
Fuzzing LibXML2: epi052.gitlab.io/notes-to-self/…
#fuzzing #libafl #infosec #learning #cybersecurity