Effectiveness of Synthesis in Concolic Deobfuscation - Inria - Institut national de recherche en sciences et technologies du numérique Access content directly
Journal Articles Computers & Security Year : 2017

Effectiveness of Synthesis in Concolic Deobfuscation

Abstract

Control flow obfuscation techniques can be used to hinder software reverse-engineering. Symbolic analysis can counteract these techniques, but only if they can analyze obfuscated conditional statements. We evaluate the use of dynamic synthesis to complement symbolic analysis in the analysis of obfuscated conditionals. We test this approach on the taint-analysis-resistant Mixed Boolean Arithmetics (MBA) obfuscation method that is commonly used to obfuscate and randomly diversify statements. We experimentally ascertain the practical feasibility of MBA obfuscation. We study using SMT-based approaches with different state-of-the-art SMT solvers to counteract MBA obfuscation, and we show how targeted algebraic simplification can greatly reduce the analysis time. We show that synthesis-based deobfuscation is more effective than current SMT-based deobfuscation algorithms, thus proposing a synthesis-based attacker model to complement existing attacker models.
Fichier principal
Vignette du fichier
cosemain.pdf (410.27 Ko) Télécharger le fichier
Origin Files produced by the author(s)
Loading...

Dates and versions

hal-01241356 , version 1 (12-12-2015)
hal-01241356 , version 2 (05-11-2017)

Identifiers

Cite

Fabrizio Biondi, Sébastien Josse, Axel Legay, Thomas Sirvent. Effectiveness of Synthesis in Concolic Deobfuscation. Computers & Security, 2017, 70, pp.500-515. ⟨10.1016/j.cose.2017.07.006⟩. ⟨hal-01241356v2⟩
903 View
3067 Download

Altmetric

Share

Gmail Mastodon Facebook X LinkedIn More