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arXiv:1802.09085cs.CR

SgxPectre Attacks: Stealing Intel Secrets from SGX Enclaves via Speculative Execution

Guoxing Chen, Sanchuan Chen, Yuan Xiao, Yinqian Zhang, Zhiqiang Lin, Ten H. Lai

Abstract

This paper presents SgxPectre Attacks that exploit the recently disclosed CPU bugs to subvert the confidentiality and integrity of SGX enclaves. Particularly, we show that when branch prediction of the enclave code can be influenced by programs outside the enclave, the control flow of the enclave program can be temporarily altered to execute instructions that lead to observable cache-state changes. An adversary observing such changes can learn secrets inside the enclave memory or its internal registers, thus completely defeating the confidentiality guarantee offered by SGX. To demonstrate the practicality of our SgxPectre Attacks, we have systematically explored the possible attack vectors of branch target injection, approaches to win the race condition during enclave's speculative execution, and techniques to automatically search for code patterns required for launching the attacks. Our study suggests that any enclave program could be vulnerable to SgxPectre Attacks since the desired code patterns are available in most SGX runtimes (e.g., Intel SGX SDK, Rust-SGX, and Graphene-SGX). Most importantly, we have applied SgxPectre Attacks to steal seal keys and attestation keys from Intel signed quoting enclaves. The seal key can be used to decrypt sealed storage outside the enclaves and forge valid sealed data; the attestation key can be used to forge attestation signatures. For these reasons, SgxPectre Attacks practically defeat SGX's security protection. This paper also systematically evaluates Intel's existing countermeasures against SgxPectre Attacks and discusses the security implications.

arXiv comments
Journal reference
DOI
doi:10.1109/EuroSP.2019.00020
Subjects
cs.CRCryptography and Security

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Linked by 2 identifiable commenters in 2 comments across 2 threads, from Mar 2018 to Dec 2019. Found in 2 HN submissions from Feb 2018 to Feb 2018. Open submission discussions.

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Discussed in comments2 threads

    • There are other attacks (https://arxiv.org/pdf/1802.09085.pdf), but I doubt they’re the major driving force behind lagging adoption.

      saagarjhaView on HNParent context

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