SCRUTINIZER: Towards Secure Forensics on Compromised TrustZone
Yiming Zhang, Fengwei Zhang, Xiapu Luo, Rui Hou, Xuhua Ding, Zhenkai Liang, Shoumeng Yan, Tao Wei, Zhengyu He
Abstract
—The number of vulnerabilities exploited in Arm TrustZone systems has been increasing recently. The absence of digital forensics tools prevents platform owners from incident response or periodic security scans. However, the area of secure forensics for compromised TrustZone remains unexplored and presents unresolved challenges. Traditional out-of-TrustZone forensics are inherently hindered by TrustZone protection, rendering them infeasible. In-TrustZone approaches are susceptible to attacks from privileged adversaries, undermining their security. To fill these gaps, we introduce S CRUTINIZER , the first secure forensics solution for compromised TrustZone systems. S CRUTINIZER utilizes the highest privilege domain of the recent Arm Confidential Computing Architecture (CCA), called the Root world, and extends it to build a protected S CRUTINIZER Monitor. Our design proposes a protective layer in the Monitor that decouples the memory acquisition functionality from the Monitor and integrates it into an in-TrustZone agent. This ensures that the agent is isolated from TrustZone systems and helps to minimize the codebase expansion of the Root world. Furthermore, by grafting most of the target’s page tables in the agent, S CRUTINIZER reduces redundant translation and mapping operations during memory acquisition, ultimately reducing performance overhead. S CRUTINIZER leverages multiple standard hardware features to enable secure forensic capabilities beyond pure memory acquisition, such as memory access traps and instruction tracing, while making them impervious to hardware configuration tampering by the privileged adversary. We prototype S CRUTINIZER and evaluate it using extensive experiments. The results show that S CRUTINIZER effectively inspects TrustZone systems while immune against privileged adversaries.
Ask about this paper
Your agent reads all of it.
Lune indexed this paper to the last equation, along with the top-tier papers that cite it. Ask a question and the answer quotes them.
Your agent calls
Luneget_paper_fulltext
Free to start. No credit card required.
Terminal
Install the CLIlune papers fulltext 189fa78b-f76c-40b4-847a-94c91f7203f9Builds on18
- SoK: Understanding the Prevailing Security Vulnerabilities in TrustZone-assisted TEE SystemsDavid Cerdeira, Nuno Santos, Pedro Fonseca, Sandro PintoS&P 2020 · 231 citations
- Ninja: Towards Transparent Tracing and Debugging on ARMZhenyu Ning, Fengwei ZhangUSENIX Security 2017 · 62 citations
- Design and Verification of the Arm Confidential Compute ArchitectureXupeng Li, Xuheng Li, Christoffer Dall, Ronghui Gu et al.OSDI 2022 · 60 citations
- Understanding the Security of ARM Debugging FeaturesZhenyu Ning, Fengwei ZhangS&P 2019 · 41 citations
- StrongBox: A GPU TEE on Arm EndpointsYunjie Deng, Chenxu Wang, Shunchang Yu, Shiqing Liu et al.CCS 2022 · 37 citations
Related papers
- SHELTER: Extending Arm CCA with Isolation in User SpaceYiming Zhang, Yuxin Hu, Zhenyu Ning, Fengwei Zhang et al.USENIX Security 2023
- SANCTUARY: ARMing TrustZone with User-space EnclavesFerdinand Brasser, David Gens, Patrick Jauernig, Ahmad-Reza Sadeghi et al.NDSS 2019 · 191 citations
- CaSE: Cache-Assisted Secure Execution on ARM ProcessorsNing Zhang, Kun Sun, Wenjing Lou, Yiwei Thomas HouS&P 2016 · 104 citations
- ReZone: Disarming TrustZone with TEE Privilege ReductionDavid Cerdeira, José Martins, Nuno Santos, Sandro PintoUSENIX Security 2022
- Cache-in-the-Middle (CITM) Attacks: Manipulating Sensitive Data in Isolated Execution EnvironmentsJie Wang, Kun Sun, Lingguang Lei, Shengye Wan et al.CCS 2020 · 6 citations
