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Deobfuscating Android native binary code

Published: 25 May 2019 Publication History
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  • Abstract

    In this paper, we propose an automated approach to facilitate the deobfuscation of Android native binary code. Specifically, given a native binary obfuscated by Obfuscator-LLVM (the most popular native code obfuscator), our deobfuscation system is capable of recovering the original Control Flow Graph. To the best of our knowledge, it is the first work that aims to tackle the problem. We have applied our system in different scenarios, and the experimental results demonstrate the effectiveness of our system based on generic similarity comparison metrics.

    References

    [1]
    CVE-2014-3153. https://github.com/orenl/CVE-2014-3153, 2014.
    [2]
    Benchmarks. https://github.com/tum-i22/obfuscation-benchmarks, 2016.
    [3]
    Benjamin Bichsel, Veselin Raychev, Petar Tsankov, and Martin Vechev. Statistical deobfuscation of android applications. In ACM Sigsac Conference on Computer and Communications Security, pages 343--355, 2016.
    [4]
    Pascal Junod, Julien Rinaldini, Johan Wehrli, and Julie Michielin. Obfuscator-llvm-software protection for the masses. In International Workshop on Software Protection (SPRO), pages 3--9. IEEE, 2015.

    Cited By

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    • (2022)CaDeCFF: Compiler-Agnostic Deobfuscator of Control Flow FlatteningProceedings of the 13th Asia-Pacific Symposium on Internetware10.1145/3545258.3545269(282-291)Online publication date: 11-Jun-2022
    • (2022)Looking for Criminal Intents in JavaScript Obfuscated CodeProcedia Computer Science10.1016/j.procs.2022.09.142207:C(867-876)Online publication date: 1-Jan-2022

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    cover image ACM Conferences
    ICSE '19: Proceedings of the 41st International Conference on Software Engineering: Companion Proceedings
    May 2019
    369 pages

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    IEEE Press

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    Published: 25 May 2019

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    • (2022)CaDeCFF: Compiler-Agnostic Deobfuscator of Control Flow FlatteningProceedings of the 13th Asia-Pacific Symposium on Internetware10.1145/3545258.3545269(282-291)Online publication date: 11-Jun-2022
    • (2022)Looking for Criminal Intents in JavaScript Obfuscated CodeProcedia Computer Science10.1016/j.procs.2022.09.142207:C(867-876)Online publication date: 1-Jan-2022

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