Top Tweets for #AFLFast
🔥 No fuzz drivers needed. Our paper on injecting fuzzers into running systems at user-defined amplifier points (in-vivo fuzzing) was accepted at #ICSE25!
📝 https://t.co/kxmleFgCuM
🧑💻 https://t.co/f8tcqur3Gm (subject to AE)
//Collab w/ @GallandOctavio (former #MPI_SP intern).

@infernosec @FSEconf @Jilyac @sangkilc My work wouldn't be possible without the tools and frameworks that you and colleagues @Google make freely available as open-source. Happy to give back!
#AFL #LibFuzzer #Honggfuzz #Fuzzbench
#AFLFast #AFLGo #AFLSmart #AFLNet #Entropic
CC @thuanpv_ and colleagues
#OpenScience
If someone wrote a new Windows binary fuzzer, which core features would you like it to have? List thus far: (1) Custom fast instrumentation that can be applied only to selected modules, (2) Edge+compare coverage, (3) Easy to plug in custom mutators, (4) Parallelism out-of-the-box
@mboehme_ @icstconference It lengthens a series of AFL-based #fuzzing work in great collaboration with @mboehme_ and Abhik Roychoudhury @NUSComputing & @MonashInfotech AFLFast (CCS'16) -> AFLGo (CCS'17) -> AFLSmart (TSE'19) -> AFLNet (ICST'2020) -> what's next? :) #aflfast #aflgo #aflsmart #aflnet
Our research team published the Guide to the world of AFL fuzzers https://t.co/KkkvE3WFCG
Wrote an interactive book chapter on coverage-based, boosted, and directed greybox fuzzing @FuzzingBook. Play with the algorithms behind the tremendous success of AFL and LibFuzzer. Based on work with @ThuanpvNus & others
Hope you like it.
https://t.co/EJTP5iVbtO #aflfast #aflgo
New training content additions in 2019:
Mutiny+DeceptProxy
Joern+Covnavi
5 progressive Winafl exercises
rr-debugger
Windbg TTD
Domato-cov
Ndisfuzz
Qsym
Angora
Aflfast
Aflsmart
I'm excited to join Marcel Boehme's group at Monash University, Australia. We are seeking Ph.D. students for our research in High Performance #Vulnerability #Detection and lengthen our series of #fuzzing work #aflfast #aflgo #aflsmart. More details here: https://t.co/k3FrYAdFcb
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