Moye: A Wallbreaker for Monolithic Firmware


연구 분야: Analysis



학회: ICSE '25: Proceedings of the IEEE/ACM 47th International Conference on Software Engineering


초록

As embedded devices become increasingly popular, monolithic firmware, known for its execution efficiency and simplicity, is widely used in resource-constrained devices. Different from ordinary firmware, the monolithic firmware image is packed without the file that indicates its format, which challenges the reverse engineering of monolithic firmware. Function identification is the prerequisite of monolithic firmware's analysis. Prior works on function identification are less effectiveness when applied to monolithic firmware due to their heavy reliance on file formats. In this paper, we propose Moye, a novel method to identify functions in monolithic firmware. We leverage the important insight that the use of registers must conform to some constraints. In particular, our approach segments the firmware, locate code sections and output the instructions. We use a masked language model to learn hiding relationships among the instructions to identify the function boundaries. We evaluate Moye using 1,318 monolithic firmware images, including 48 samples collected from widely used devices. The evaluation demonstrates that our approach significantly outperforms current works, achieving a precision greater than 98% and a recall rate greater than 97% across most datasets, showing robustness to complicated compilation options.


Author Profile
Kai Yang

School of Computer Electronics and Information Guangxi University Nanning China

Andorra
Author Profile
Jintao Huang

Beijing Key Laboratory of IOT Information Security Technology Institute of Information Engineering CAS and School of Cyber Security University of Chinese Academy of Sciences Beijing China

Andorra
Author Profile
Gaosheng Wang

Beijing Key Laboratory of IOT Information Security Technology Institute of Information Engineering CAS and School of Cyber Security University of Chinese Academy of Sciences Beijing China

Andorra

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발행 연도 2025년
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출판 국가 Andorra
사이트 ACM
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