NA

CVE-2022-35999

Published: 16/09/2022 Updated: 20/09/2022
CVSS v3 Base Score: 7.5 | Impact Score: 3.6 | Exploitability Score: 3.9
VMScore: 0

Vulnerability Summary

TensorFlow is an open source platform for machine learning. When `Conv2DBackpropInput` receives empty `out_backprop` inputs (e.g. `[3, 1, 0, 1]`), the current CPU/GPU kernels `CHECK` fail (one with dnnl, the other with cudnn). This can be used to trigger a denial of service attack. We have patched the issue in GitHub commit 27a65a43cf763897fecfa5cdb5cc653fc5dd0346. The fix will be included in TensorFlow 2.10.0. We will also cherrypick this commit on TensorFlow 2.9.1, TensorFlow 2.8.1, and TensorFlow 2.7.2, as these are also affected and still in supported range. There are no known workarounds for this issue.

Vulnerability Trend

Vulnerable Product Search on Vulmon Subscribe to Product

google tensorflow

google tensorflow 2.10