Slice+Slice Baby: Generating Last-Level Cache Eviction Sets in the Blink of an Eye

An essential step for mounting cache attacks is finding eviction sets, collections of memory locations that contend on cache space. On Intel processors, one of the main challenges for identifying contending addresses is the sliced cache design, where the processor hashes the physical address to determine where in the cache a memory location is stored. While past works have demonstrated that the hash function can be reversed, they also showed that it depends on physical address bits that the adversary does not know. In this work, we make three main contributions to the art of finding eviction sets. We first exploit microarchitectural races to compare memory access times and identify the cache slice to which an address maps. We then use the known hash function to both reduce the error rate in our slice identification method and to reduce the work by extrapolating slice mappings to untested memory addresses. Finally, we show how to propagate information on eviction sets across different page offsets for the hitherto unexplored case of non-linear hash functions. Our contributions allow for entire LLC eviction set generation in 0.7 seconds on the Intel i7-9850H and 1.6 seconds on the i9-10900K, both using non-linear functions. This represents a significant improvement compared to state-of-the-art techniques taking 9x and 10x longer, respectively.

Publication Details

Journal
ArXiv.org
Published
2025-04-15
Primary Topic
Security and Verification in Computing
Type
article
Field-Weighted Citation Impact
0.00

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article

Slice+Slice Baby: Generating Last-Level Cache Eviction Sets in the Blink of an Eye

ArXiv.org
Security and Verification in Computing
article

Slice+Slice Baby: Generating Last-Level Cache Eviction Sets in the Blink of an Eye

article en

Abstract

An essential step for mounting cache attacks is finding eviction sets, collections of memory locations that contend on cache space. On Intel processors, one of the main challenges for identifying contending addresses is the sliced cache design, where the processor hashes the physical address to determine where in the cache a memory location is stored. While past works have demonstrated that the hash function can be reversed, they also showed that it depends on physical address bits that the adversary does not know. In this work, we make three main contributions to the art of finding eviction sets. We first exploit microarchitectural races to compare memory access times and identify the cache slice to which an address maps. We then use the known hash function to both reduce the error rate in our slice identification method and to reduce the work by extrapolating slice mappings to untested memory addresses. Finally, we show how to propagate information on eviction sets across different page offsets for the hitherto unexplored case of non-linear hash functions. Our contributions allow for entire LLC eviction set generation in 0.7 seconds on the Intel i7-9850H and 1.6 seconds on the i9-10900K, both using non-linear functions. This represents a significant improvement compared to state-of-the-art techniques taking 9x and 10x longer, respectively.

ArXiv.org
Cisco Systems, Deutsche Forschungsgemeinschaft, Israel Science Foundation, Defense Advanced Research Projects Agency, Advanced Research Projects Agency, Defence Science and Technology Group, Air Force Office of Scientific Research
Openalex Percentile: Top 73%
Security and Verification in Computing
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Slice+Slice Baby: Generating Last-Level Cache Eviction Sets in the Blink of an Eye · ArXiv.org (2025) | TGRS Research Map | TGRS