Search-Based Local Black-Box Deobfuscation: Understand, Improve and Mitigate
Code obfuscation aims at protecting Intellectual Property and other secrets embedded into software from being retrieved. Recent works leverage advances in artificial intelligence (AI) with the hope of getting blackbox deobfuscators completely immune to standard (whitebox) protection mechanisms. While promising, this new field of AI-based, and more specifically search-based blackbox deobfuscation, is still in its infancy. We deepen the state of search-based blackbox deobfuscation in three key directions: understand the current state-of-the-art, improve over it and design dedicated protection mechanisms. In particular, we define a novel generic framework for search-based blackbox deobfuscation encompassing prior work and highlighting key components; we are the first to point out that the search space underlying code deobfuscation is too unstable for simulation-based methods (e.g., Monte Carlo Tree Search used in prior work) and advocate the use of robust methods such as S-metaheuristics; we propose the new optimized search-based blackbox deobfuscator Xyntia which significantly outperforms prior work in terms of success rate (especially with small time budget) while being completely immune to the most recent anti-analysis code obfuscation methods; and finally we propose two novel protections against search-based blackbox deobfuscation, allowing to counter Xyntia powerful attacks. This work has been published at ACM CCS 2021.
--------------------------------------------------------------------
The talk will take place remotely via BigBlueButton (BBB) in the following room:
https://bbb.inria.fr/all-t0p-qjq-9em (Access code: 192737).
The session will be recorded.
--------------------------------------------------------------------
To receive the SoSySec announcements, please subscribe to the SoSySec mailing list:
https://sympa.inria.fr/sympa/subscribe/sosysec
All past and future SoSySec talks are listed at
https://seminaires-dga.inria.fr/en/seances-a-venir/
----------------------------------------------------------------------
Vous pouvez vous abonner à nos annonces de séminaires :
https://sympa.inria.fr/sympa/subscribe/sosysec
et consulter la liste des exposés passés et à venir :
https://seminaires-dga.inria.fr/seances-a-venir/