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van Hauser 2019-09-04 13:15:44 +02:00
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Repository: [https://github.com/vanhauser-thc/AFLplusplus](https://github.com/vanhauser-thc/AFLplusplus)
afl++ is maintained by Marc Heuse <mh@mh-sec.de>, Heiko Eißfeldt
<heiko.eissfeldt@hexco.de> and Andrea Fioraldi <andreafioraldi@gmail.com>.
afl++ is maintained by Marc "van Hauser" Heuse <mh@mh-sec.de>,
Heiko "hexc0der" Eißfeldt <heiko.eissfeldt@hexco.de> and
Andrea Fioraldi <andreafioraldi@gmail.com>.
Note that although afl now has a Google afl repository [https://github.com/Google/afl](https://github.com/Google/afl),
it is unlikely to receive any noteable enhancements: [https://twitter.com/Dor3s/status/1154737061787660288](https://twitter.com/Dor3s/status/1154737061787660288)
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Many improvements were made over the official afl release - which did not
get any improvements since November 2017.
Among others afl++ has, e.g. more performant llvm_mode, supporting
Among others afl++ has a more performant llvm_mode, supporting
llvm up to version 9, Qemu 3.1, more speed and crashfixes for Qemu,
laf-intel feature for Qemu (with libcompcov), better *BSD and Android
support and more.
better *BSD and Android support and much, much more.
Additionally the following patches have been integrated:
* AFLfast's power schedules by Marcel Böhme: [https://github.com/mboehme/aflfast](https://github.com/mboehme/aflfast)
* C. Hollers afl-fuzz Python mutator module and llvm_mode whitelist support: [https://github.com/choller/afl](https://github.com/choller/afl)
* the new excellent MOpt mutator: [https://github.com/puppet-meteor/MOpt-AFL](https://github.com/puppet-meteor/MOpt-AFL)
* instrim, a very effective CFG llvm_mode instrumentation implementation for large targets: [https://github.com/csienslab/instrim](https://github.com/csienslab/instrim)
* unicorn_mode which allows fuzzing of binaries from completely different platforms (integration provided by domenukk)
* C. Holler's afl-fuzz Python mutator module and llvm_mode whitelist support: [https://github.com/choller/afl](https://github.com/choller/afl)
* Custom mutator by a library (instead of Python) by kyakdan
* unicorn_mode which allows fuzzing of binaries from completely different platforms (integration provided by domenukk)
* laf-intel (compcov) support for llvm_mode, qemu_mode and unicorn_mode
* neverZero patch for afl-gcc, llvm_mode, qemu_mode and unicorn_mode which prevents a wrapping map value to zero, increases coverage (by Andrea Fioraldi)
A more thorough list is available in the PATCHES file.
So all in all this is the best-of AFL that is currently out there :-)