Paper 2022/715
Ultimate SLH: Taking Speculative Load Hardening to the Next Level
Abstract
In this paper we revisit the Spectre v1 vulnerability and software-only countermeasures. Specifically, we systematically investigate the performance penalty and security properties of multiple variants of speculative load hardening (SLH). As part of this investigation we implement the “strong SLH” variant by Patrignani and Guarnieri (CCS 2021) as a compiler extension to LLVM. We show that none of the existing variants, including strong SLH, is able to protect against all Spectre v1 attacks in practice. We do this by demonstrating, for the first time, that variable-time arithmetic instructions leak secret information even if they are executed only speculatively. We extend strong SLH to include protections also against this kind of leakage, implement the resulting full protection in LLVM, and use the SPEC2017 benchmarks to compare its performance to the existing variants of SLH and to code that uses fencing instructions to completely prevent speculative execution. We show that our proposed countermeasure offers full protection against Spectre v1 attacks at much better performance than code using fences. In fact, for several benchmarks our approach is more than twice as fast.
Metadata
- Available format(s)
- Category
- Attacks and cryptanalysis
- Publication info
- Published elsewhere. USENIX Security Symposium 2023
- Keywords
- Spectre v1Speculative Load Hardening
- Contact author(s)
-
zhiyuan zhang @ adelaide edu au
gjbarthe @ gmail com
chitchanok chuengsatiansup @ adelaide edu au
peter @ cryptojedi org
yval @ cs adelaide edu au - History
- 2023-04-30: revised
- 2022-06-05: received
- See all versions
- Short URL
- https://ia.cr/2022/715
- License
-
CC BY-NC-ND
BibTeX
@misc{cryptoeprint:2022/715, author = {Zhiyuan Zhang and Gilles Barthe and Chitchanok Chuengsatiansup and Peter Schwabe and Yuval Yarom}, title = {Ultimate {SLH}: Taking Speculative Load Hardening to the Next Level}, howpublished = {Cryptology {ePrint} Archive, Paper 2022/715}, year = {2022}, url = {https://eprint.iacr.org/2022/715} }