CVE-2022-21725

Description

Tensorflow is an Open Source Machine Learning Framework. The estimator for the cost of some convolution operations can be made to execute a division by 0. The function fails to check that the stride argument is strictly positive. Hence, the fix is to add a check for the stride argument to ensure it is valid. The fix will be included in TensorFlow 2.8.0. We will also cherrypick this commit on TensorFlow 2.7.1, TensorFlow 2.6.3, and TensorFlow 2.5.3, as these are also affected and still in supported range.

How to fix CVE-2022-21725

To remediate CVE-2022-21725, upgrade the affected package to a fixed version below.

• —upgrade to 2.5.3 or later
• —upgrade to 2.5.3 or later
• —upgrade to 2.5.3 or later
• —upgrade to 3218043d6d3a019756607643cf65574fbfef5d7a or later
• —upgrade to 2.5.3 or later
• —upgrade to 3218043d6d3a019756607643cf65574fbfef5d7a or later

Is CVE-2022-21725 being exploited?

Low — EPSS is 0.2%, meaning exploitation activity has not been observed at scale.

Affected packages (6)

• from 0, < 2.5.3, >= 2.6.0, < 2.6.3, >= 2.7.0, < 2.7.1
• from 0, < 2.5.3
• from 0, < 2.5.3
• from 0, < 3218043d6d3a019756607643cf65574fbfef5d7a | from 0, < 2.5.3, >= 2.6.0, < 2.6.3
• from 0, < 2.5.3
• from 0, < 3218043d6d3a019756607643cf65574fbfef5d7a | from 0, < 2.5.3, >= 2.6.0, < 2.6.3

CVSS scores

References (7)

• ADVISORYnvd.nist.gov/vuln/detail/CVE-2022-21725
• WEBgithub.com/pypa/advisory-database/tree/main/vulns/tensorflow-cpu/PYSEC-2022-49.yaml
• WEBgithub.com/pypa/advisory-database/tree/main/vulns/tensorflow-gpu/PYSEC-2022-104.yaml
• WEBgithub.com/tensorflow/tensorflow