What Your Firmware Tells You Is Not How You Should Emulate It: A Specification-Guided Approach for Firmware Emulation


연구 분야: Analysis



학회: CCS '22: Proceedings of the 2022 ACM SIGSAC Conference on Computer and Communications Security


초록

Emulating firmware of microcontrollers is challenging due to the lack of peripheral models. Existing work finds out how to respond to peripheral read operations by analyzing the target firmware. This is problematic because the firmware sometimes does not contain enough clues to support the emulation or even contains misleading information (e.g., a buggy firmware). In this work, we propose a new approach that builds peripheral models from the peripheral specification. Using NLP, we translate peripheral behaviors in human language (documented in chip manuals) into a set of structured condition-action rules. By checking, executing, and chaining them at run time, we can dynamically synthesize a peripheral model for each firmware execution. The extracted condition-action rules might not be complete or even be wrong. We, therefore, propose incorporating symbolic execution to quickly pinpoint the root cause. This assists us in the manual correction of the problematic rules. We have implemented our idea for five popular MCU boards spanning three different chip vendors. Using a new edit-distance-based algorithm to calculate trace differences, our evaluation against a large firmware corpus confirmed that our prototype achieves much higher fidelity compared with state-of-the-art solutions. Benefiting from the accurate emulation, our emulator effectively avoids false positives observed in existing fuzzing work. We also designed a new dynamic analysis method to perform driver code compliance checks against the specification. We found some non-compliance which we later confirmed to be bugs caused by race conditions.


Author Profile
Wei Zhou

School of Cyber Science and Engineering Huazhong University of Science and Technology Beijing China

Andorra
Author Profile
Lan Zhang

College of Information Sciences and Technology The Pennsylvania State University state college PA USA

Andorra
Author Profile
Le Guan

School of Computing University of Georgia Athens GA USA

Gabon

📄 논문 정보

발행 연도 2022년
인용수 13
출판 국가 Gabon, Andorra, China
사이트 ACM
좋아요 수 0

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