Researchers from numerous American universities have discovered that nearly every contemporary graphics processing units (GPUs) are vulnerable to a brand-new kind of side-channel attack that could be employed to steal sensitive information.
GPU.zip is a novel attack method discovered and reported by representatives from the University of Texas at Austin, Carnegie Mellon University, the University of Washington, and the University of Illinois Urbana-Champaign.
The GPU.zip attack employs hardware-based graphical data compression, an optimization in modern GPUs that is created for enhancing performance.
“GPU.zip exploits software-transparent uses of compression. This is in contrast to prior compression side channels, which leak because of software-visible uses of compression and can be mitigated by disabling compression in software,” the researchers stated.
GPU.zip can be used to compromise a device by tricking the targeted
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