oo7: Low-overhead Defense against Spectre Attacks via Program Analysis
July 16, 2018 Β· Declared Dead Β· π IEEE Transactions on Software Engineering
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Authors
Guanhua Wang, Sudipta Chattopadhyay, Ivan Gotovchits, Tulika Mitra, Abhik Roychoudhury
arXiv ID
1807.05843
Category
cs.CR: Cryptography & Security
Citations
105
Venue
IEEE Transactions on Software Engineering
Last Checked
4 months ago
Abstract
The Spectre vulnerability in modern processors has been widely reported. The key insight in this vulnerability is that speculative execution in processors can be misused to access the secrets. Subsequently, even though the speculatively executed instructions are squashed, the secret may linger in micro-architectural states such as cache, and can potentially be accessed by an attacker via side channels. In this paper, we propose oo7, a static analysis approach that can mitigate Spectre attacks by detecting potentially vulnerable code snippets in program binaries and protecting them against the attack by patching them. Our key contribution is to balance the concerns of effectiveness, analysis time and run-time overheads. We employ control flow extraction, taint analysis, and address analysis to detect tainted conditional branches and speculative memory accesses. oo7 can detect all fifteen purpose-built Spectre-vulnerable code patterns, whereas Microsoft compiler with Spectre mitigation option can only detect two of them. We also report the results of a large-scale study on applying oo7 to over 500 program binaries (average binary size 261 KB) from different real-world projects. We protect programs against Spectre attack by selectively inserting fences only at vulnerable conditional branches to prevent speculative execution. Our approach is experimentally observed to incur around 5.9% performance overheads on SPECint benchmarks.
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