Vulnerability Monitor

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CVE-2022-35999

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.

Published

2022-09-16T23:15:10.587

Last Modified

2024-11-21T07:12:09.023

Status

Modified

Source

[email protected]

Severity

CVSSv3.1: 5.9 (MEDIUM)

Weaknesses
  • Type: Primary
    CWE-617
Affected Vendors & Products
Type Vendor Product Version/Range Vulnerable?
Application google tensorflow < 2.7.2 Yes
Application google tensorflow < 2.8.1 Yes
Application google tensorflow < 2.9.1 Yes
Application google tensorflow 2.10 Yes
Application google tensorflow 2.10 Yes
Application google tensorflow 2.10 Yes
Application google tensorflow 2.10 Yes
References