CVE-2022-35968

Medium

Description

TensorFlow is an open source platform for machine learning. The implementation of `AvgPoolGrad` does not fully validate the input `orig_input_shape`. This results in a `CHECK` failure which can be used to trigger a denial of service attack. We have patched the issue in GitHub commit 3a6ac52664c6c095aa2b114e742b0aa17fdce78f. 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 tensorflow2.7.0 ≤ v < 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

Check your version

Choose the product and enter the version you run to see whether it falls in the affected range.

In the Intelligence 360 plan

Attack Surface Management

See the assets tied to your domains, the technologies they run and known vulnerabilities in one list.