CVE-2022-35999

Medium

Description

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.

SeverityMedium
CVSS5.9
Exploit probability—
ProductGoogle Tensorflow
PublishedSep 16, 2022
First seenSep 16, 2022
Weakness typeCWE-617CWE-617

How to fix

Update
  • google tensorflow2.7.2, 2.8.1, 2.9.1 or later
  • tensorflow2.7.2, 2.8.1, 2.9.1 or later
  • tensorflow-cpu2.7.2, 2.8.1, 2.9.1 or later
  • tensorflow-gpu2.7.2, 2.8.1, 2.9.1 or later

Affected products

ProductAffected versionsFixed in
google tensorflowv < 2.7.2, 2.8.0 ≤ v < 2.8.1, 2.9.0 ≤ v < 2.9.1, 2.102.7.2, 2.8.1, 2.9.1
tensorflowPyPIv < 2.7.2, 2.8.0 ≤ v < 2.8.1, 2.9.0 ≤ v < 2.9.12.7.2, 2.8.1, 2.9.1
tensorflow-cpuPyPIv < 2.7.2, 2.8.0 ≤ v < 2.8.1, 2.9.0 ≤ v < 2.9.12.7.2, 2.8.1, 2.9.1
tensorflow-gpuPyPIv < 2.7.2, 2.8.0 ≤ v < 2.8.1, 2.9.0 ≤ v < 2.9.12.7.2, 2.8.1, 2.9.1

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CVE-2022-35999 · Google Tensorflow · Dark Radar