It's now possible to reason on symbolic memory pointers with Triton (QF_ABV logic). This new mode will complexify constraints and increase RAM consumption (at this moment) but at least has the merit of existing :).
https://t.co/aLDykDDrrN
Solution of the NorthSec 2018 MarsAnalytica challenge. Another example of analyzing a virtual machine and a methodology example when analyzing a big binary with Triton.
https://t.co/POjZ5E04K7
At @quarkslab we are glad to announce the release of Triton v0.8 which brings the ARM32 architecture and much more! Check out the release https://t.co/mFux5crSsa and our blog post describing what's new in the v0.8 https://t.co/M6rFlj71lF.
Manuscrit de thèse et slide sur l'exécution symbolique pour la déobfuscation. Sorry for non french people =(. https://t.co/15Yi1SZFzM & https://t.co/obv5zZbQtz
Today is a big day, especially for @JonathanSalwan: he will defend his PhD: symbolic execution for binary deobfuscation. The team is super proud of the long road he walked!
After more than 1 year, we are glad to announce the release of Triton v0.7 https://t.co/yTQ2FpXl0A - AArch64 semantics, Android compilation, Python 3.6, bug fixes and much more! @quarkslab is already working on the v0.8 and have some surprises in store =)
After more than 1 year from v0.5, the v0.6 of Triton has been tagged as release! https://t.co/ENBCk55PMm - Version 0.7 will focus on AArch64 already in development at @quarkslab!
Paper, slides and results about our talk "Symbolic deobfuscation:
from virtualized code back to the original" https://t.co/GiesBX8psS (few months of work with Quarkslab, CEA-List and Verimag)