ORCAS shows that replacing control-flow edges with dominance, post-dominance, and data-flow relations makes binary code similarity search substantially more robust to BCF, FLA, and SUB obfuscation.
Code Obfuscation for the C/C++ Language
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abstract
Obfuscation is the action of making something unintelligible. In software development, this action can be applied to source code or binary applications. The aim of this dissertation was to implement a tool for the obfuscation of C and C++ source code. The motivation was to allow proprietary code to be distributed to third-parties without risking a recreation of the intellectual property within it. While many obfuscators exist, they seldom focus on software that is distributed in source code form. This dissertation presents the challenges and successes that arose during the development of a C and C++ source code obfuscator using the Nim programming language.
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ORCAS: Obfuscation-Resilient Binary Code Similarity Analysis using Dominance Enhanced Semantic Graph
ORCAS shows that replacing control-flow edges with dominance, post-dominance, and data-flow relations makes binary code similarity search substantially more robust to BCF, FLA, and SUB obfuscation.