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Understanding TEE Containers, Easy to Use? Hard to Trust

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arxiv 2109.01923 v1 pith:KKQTNWBK submitted 2021-09-04 cs.CR

classification cs.CR
keywords containersapplicationssecureanalyzercontainerexistingisolationacademic
verification ladder T0 review T1 audit T2 compute T3 formal
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As an emerging technique for confidential computing, trusted execution environment (TEE) receives a lot of attention. To better develop, deploy, and run secure applications on a TEE platform such as Intel's SGX, both academic and industrial teams have devoted much effort to developing reliable and convenient TEE containers. In this paper, we studied the isolation strategies of 15 existing TEE containers to protect secure applications from potentially malicious operating systems (OS) or untrusted applications, using a semi-automatic approach combining a feedback-guided analyzer with manual code review. Our analysis reveals the isolation protection each of these TEE containers enforces, and their security weaknesses. We observe that none of the existing TEE containers can fulfill the goal they set, due to various pitfalls in their design and implementation. We report the lessons learnt from our study for guiding the development of more secure containers, and further discuss the trend of TEE container designs. We also release our analyzer that helps evaluate the container middleware both from the enclave and from the kernel.

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Cited by 2 Pith papers

Reviewed papers in the Pith corpus that reference this work. Sorted by Pith novelty score. Full citation record

  1. CrypTorch: PyTorch-based Auto-tuning Compiler for Machine Learning with Multi-party Computation

    cs.CR 2025-11 conditional novelty 6.0 of 10

    An MPC-ML compiler that modularizes and auto-tunes operator approximations, delivering 1.2–1.8x speedups over an optimized baseline under user-set accuracy bounds.

  2. LURK-T: Limited Use of Remote Keys With Added Trust in TLS 1.3

    cs.CR 2025-05 conditional novelty 6.0 of 10

    LURK-T is a TLS 1.3 server delegation design that isolates long-term credentials in a TEE-backed crypto service while keeping the client-facing TLS protocol unchanged.

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