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Conti, Vincenzo (Ed.)Mixed Boolean-arithmetic (MBA) expression, which involves both bitwise operations (e.g., NOT, AND, and OR) and arithmetic operations (e.g., + , − , and ∗ ), is a software obfuscation scheme. On the other side, multiple methods have been proposed to simplify MBA expressions. Among them, table-based solutions are the most powerful simplification research. However, a fundamental limitation of the table-based solutions is that the space complexity of the transformation table drastically explodes with the number of variables in the MBA expression. In this study, we propose a novel method to simplify MBA expressions without any precomputed requirements. First, a bitwise expression can be transformed into a unified form, and we provide a mathematical proof to guarantee the correctness of this transformation. Then, the arithmetic reduction is smoothly performed to further simplify the expression and produce a concise result. We implement the proposed scheme as an open-source tool, named MBA-Flatten, and evaluate it on two comprehensive benchmarks. The evaluation results show that MBA-Flatten is a general and effective MBA simplification method. Furthermore, MBA-Flatten can assist malware analysis and boost SMT solvers’ performance on solving MBA equations.more » « less
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Liu, Binbin; Feng, Weijie; Zheng, Qilong; Li, Jing; Xu, Dongpeng (, International Conference on Information and Communications Security)
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Liu, Binbin; Shen, Junfu; Ming, Jiang; Zheng, Qilong; Li, Jing; Dongpeng, Xu (, Proceedings of the 30th USENIX Security Symposium)
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Xu, Dongpeng; Liu, Binbin; Feng, Weijie; Ming, Jiang; Zheng, Qilong; Li, Jing; Yu, Qiaoyan (, PLDI 2021: Proceedings of the 42nd ACM SIGPLAN International Conference on Programming Language Design and Implementation)
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Feng, Weijie; Liu, Binbin; Xu, Dongpeng; Zheng, Qilong; Xu, Yun (, Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing)
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