Vulnerable GPU Memory Management: Towards Recovering Raw Data from GPU
May 21, 2016 Β· Declared Dead Β· π Proceedings on Privacy Enhancing Technologies
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Authors
Zhe Zhou, Wenrui Diao, Xiangyu Liu, Zhou Li, Kehuan Zhang, Rui Liu
arXiv ID
1605.06610
Category
cs.CR: Cryptography & Security
Citations
34
Venue
Proceedings on Privacy Enhancing Technologies
Last Checked
6 months ago
Abstract
In this paper, we present that security threats coming with existing GPU memory management strategy are overlooked, which opens a back door for adversaries to freely break the memory isolation: they enable adversaries without any privilege in a computer to recover the raw memory data left by previous processes directly. More importantly, such attacks can work on not only normal multi-user operating systems, but also cloud computing platforms. To demonstrate the seriousness of such attacks, we recovered original data directly from GPU memory residues left by exited commodity applications, including Google Chrome, Adobe Reader, GIMP, Matlab. The results show that, because of the vulnerable memory management strategy, commodity applications in our experiments are all affected.
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