Characterizing Trust Boundary Vulnerabilities in TEE Containers: An Empirical Study

Fuente: arXiv
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Hauptverfasser: Liu, Weijie, Chen, Hongbo, Huai, Shuo, Xu, Zhen, Wang, Wenhao, Wang, XiaoFeng, Zhang, Danfeng, Li, Zhi, Tang, Haixu, Liu, Zheli
Format: Preprint
Veröffentlicht: 2025
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author Liu, Weijie
Chen, Hongbo
Huai, Shuo
Xu, Zhen
Wang, Wenhao
Wang, XiaoFeng
Zhang, Danfeng
Li, Zhi
Tang, Haixu
Liu, Zheli
author_facet Liu, Weijie
Chen, Hongbo
Huai, Shuo
Xu, Zhen
Wang, Wenhao
Wang, XiaoFeng
Zhang, Danfeng
Li, Zhi
Tang, Haixu
Liu, Zheli
contents Trusted Execution Environments (TEEs) have become a cornerstone of confidential computing, attracting significant attention from academia and industry. To support secure and scalable application deployment on confidential clouds, TEE containers (Tcons) have been introduced as middleware to shield applications from malicious operating systems and orchestration layers while preserving usability. In this paper, we present the first comprehensive analysis of Tcons, focusing on three critical layers: OS interfaces, encrypted I/O, and orchestration mechanisms. To enable systematic evaluation, we design TBouncer, an automated analyzer that precisely exercises and benchmarks Tcon isolation boundaries. Our study uncovers fundamental flaws in existing Tcons, leading to exploitable vulnerabilities such as code execution, denial-of-service, and information leakage. In total, we identify six attack vectors, twelve new bugs, and three CVEs. These findings provide new insights into the underestimated attack surface of Tcons and highlight key directions for building more secure and trustworthy container solutions.
format Preprint
id arxiv_https___arxiv_org_abs_2508_20962
institution arXiv
publishDate 2025
record_format arxiv
spellingShingle Characterizing Trust Boundary Vulnerabilities in TEE Containers: An Empirical Study
Liu, Weijie
Chen, Hongbo
Huai, Shuo
Xu, Zhen
Wang, Wenhao
Wang, XiaoFeng
Zhang, Danfeng
Li, Zhi
Tang, Haixu
Liu, Zheli
Cryptography and Security
Software Engineering
Trusted Execution Environments (TEEs) have become a cornerstone of confidential computing, attracting significant attention from academia and industry. To support secure and scalable application deployment on confidential clouds, TEE containers (Tcons) have been introduced as middleware to shield applications from malicious operating systems and orchestration layers while preserving usability. In this paper, we present the first comprehensive analysis of Tcons, focusing on three critical layers: OS interfaces, encrypted I/O, and orchestration mechanisms. To enable systematic evaluation, we design TBouncer, an automated analyzer that precisely exercises and benchmarks Tcon isolation boundaries. Our study uncovers fundamental flaws in existing Tcons, leading to exploitable vulnerabilities such as code execution, denial-of-service, and information leakage. In total, we identify six attack vectors, twelve new bugs, and three CVEs. These findings provide new insights into the underestimated attack surface of Tcons and highlight key directions for building more secure and trustworthy container solutions.
title Characterizing Trust Boundary Vulnerabilities in TEE Containers: An Empirical Study
topic Cryptography and Security
Software Engineering
url https://arxiv.org/abs/2508.20962