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Article Dans Une Revue Computers and Security Année : 2017

Effectiveness of Synthesis in Concolic Deobfuscation

Résumé

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.
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Dates et versions

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

Identifiants

Citer

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