Poster: LockedApart: Faster GPU Fingerprinting Through the Compute API

WebGL offers website direct access to the GPU, allowing beautiful graphics. The direct hardware access offered by WebGL was also shown to expose multiple security vulnerabilities. In particular, DrawnApart showed that by performing graphical micro-benchmarks on the GPU, it is possible to fingerprint the underlying hardware. Recently, the access of websites to the GPU was extended with the introduction of the WebGPU API, a new low-level API that allows websites to perform general-purpose computations on the GPU. Our research question was: Does this additional access to the GPU expose additional avenues for fingerprinting? Our initial results show that this is true. Our new attack, which we call LockedApart, uses WebGPU to directly measure contention between GPU threads. Compared to DrawnApart, LockedApart is up to 310x faster and up to 1.8x more accurate. These preliminary results show that it is important to consider the security implications of this new API. The code for LockedApart is available at https://github.com/LockedApart/LockedApart

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Publication Details

Journal
Proceedings of the Microarchitecture Security Conference
Published
2025-03-01
DOI
https://doi.org/10.46586/uasc.2025.204
Primary Topic
Biometric Identification and Security
Type
article
Field-Weighted Citation Impact
0.00
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article

Poster: LockedApart: Faster GPU Fingerprinting Through the Compute API

Yossi Oren, Tomer Laor
Proceedings of the Microarchitecture Security Conference
Biometric Identification and Security
article

Poster: LockedApart: Faster GPU Fingerprinting Through the Compute API

Yossi Oren, Tomer Laor
article en

Abstract

WebGL offers website direct access to the GPU, allowing beautiful graphics. The direct hardware access offered by WebGL was also shown to expose multiple security vulnerabilities. In particular, DrawnApart showed that by performing graphical micro-benchmarks on the GPU, it is possible to fingerprint the underlying hardware. Recently, the access of websites to the GPU was extended with the introduction of the WebGPU API, a new low-level API that allows websites to perform general-purpose computations on the GPU. Our research question was: Does this additional access to the GPU expose additional avenues for fingerprinting? Our initial results show that this is true. Our new attack, which we call LockedApart, uses WebGPU to directly measure contention between GPU threads. Compared to DrawnApart, LockedApart is up to 310x faster and up to 1.8x more accurate. These preliminary results show that it is important to consider the security implications of this new API. The code for LockedApart is available at https://github.com/LockedApart/LockedApart

Proceedings of the Microarchitecture Security Conference
Ben-Gurion University of the Negev (IL)
Openalex Percentile: Top 96%
Biometric Identification and Security
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Poster: LockedApart: Faster GPU Fingerprinting Through the Compute API — Yossi Oren, Tomer Laor · Proceedings of the Microarchitecture Security Conference (2025) | TGRS Research Map | TGRS