A Coverage-Guided Fuzzing Framework for Trusted Execution Environments.
IEEE International Conference on High Performance Computing and Communications(2021)
摘要
With the rapid development of the Internet, data security faces new challenges. As the interface between hardware and user-level applications, operating system is a critical component to ensure the security of sensitive data. Trusted execution environment (TEE) is a special operating system aiming at preventing the illegal access and tampering of sensitive data. Thus, the security of trusted operating system is essential for the whole system. Fuzzing is a promising technique that is widely used to identify vulnerabilities in operating systems and applications. In this paper, we present the design and implementation of a coverage-guided fuzzing framework for trusted operating systems. Specifically, we build a system that can perform fuzz testing for OP-TEE, a widespread TrustZone operating system. To improve efficiency, our systems contains several purpose-build components, which include seed generation and test case mutation to achieve higher coverage, coverage collection, and automatic bug-reproducing. With extensive evaluation, we trigger 38 crashes in OP-TEE. In terms of performance, the average execution speed of our system is 79.4 test cases per second. In summary, we show that fuzzing is a feasible and effective approach to testing trusted operating systems.
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关键词
Fuzzing,Operating System,Trusted Computing
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