Sudheendra Raghav Neela (Graz University of Technology), Jonas Juffinger (Graz University of Technology), Lukas Maar (Graz University of Technology), Daniel Gruss (Graz University of Technology)

Page cache attacks are hardware-agnostic and can have a high temporal and spatial resolution. With mitigations deployed since 2019, only Evict+Reload-style timing measurements remain, but suffer from a very low temporal resolution and a high impact on system performance due to eviction.

In this paper, we show that the problem of page cache attacks is significantly larger than anticipated. We first present a new systematic approach to page cache attacks based on four primitives: flush, reload, evict, and monitor. From these primitives, we derive five generic attack techniques on the page cache: Flush+Monitor, Flush+Reload, Flush+Flush, Evict+Monitor, and Evict+Reload. We show mechanisms for all primitives that operate on fully up-to-date Linux kernels, bypassing existing mitigations. We demonstrate the practicality of our revived page cache attacks in three scenarios, showing that we advance the state of the art by orders of magnitude in terms of spatial and temporal attack resolution: First, the channel capacity with our fastest attack (Flush+Monitor) achieves an average capacity of 37.7 kB/s in a cross-process covert channel. Second, for low-frequency attacks, we demonstrate inter-keystroke timing and event detection attacks across processes, with a spatial resolution of 4 kB and a temporal resolution of 0.8 μs, improving the state of the art by 6 orders of magnitude. Third, in a website-fingerprinting attack, we achieve an F1 score of 90.54% in a top-100 closed-world scenario. We conclude that further mitigations are necessary against the page cache side channel.

View More Papers

The Role of Privacy Guarantees in Voluntary Donation of...

Ruizhe Wang (University of Waterloo), Roberta De Viti (MPI-SWS), Aarushi Dubey (University of Washington), Elissa M. Redmiles (Georgetown University)

Read More

SIPConfusion: Exploiting SIP Semantic Ambiguities for Caller ID and...

Qi Wang (Tsinghua University), Jianjun Chen (Tsinghua University), Jingcheng Yang (Tsinghua University), Jiahe Zhang (Tsinghua University), Yaru Yang (Tsinghua University), Haixin Duan (Tsinghua University)

Read More

STIP: Three-Party Privacy-Preserving and Lossless Inference for Large Transformers...

Mu Yuan (The Chinese University of Hong Kong), Lan Zhang (University of Science and Technology of China), Yihang Cheng (University of Science and Technology of China), Miao-Hui Song (University of Science and Technology of China), Guoliang Xing (The Chinese University of Hong Kong), Xiang-Yang Li (University of Science and Technology of China)

Read More