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  5. CVE-2022-41884

CVE-2022-41884: Always-Incorrect Control Flow Implementation

November 21, 2022

TensorFlow is an open source platform for machine learning. If a numpy array is created with a shape such that one element is zero and the others sum to a large number, an error will be raised. We have patched the issue in GitHub commit 2b56169c16e375c521a3bc8ea658811cc0793784. The fix will be included in TensorFlow 2.11. We will also cherrypick this commit on TensorFlow 2.10.1, 2.9.3, and TensorFlow 2.8.4, as these are also affected and still in supported range.

References

  • github.com/advisories/GHSA-jq6x-99hj-q636
  • github.com/tensorflow/tensorflow/commit/2b56169c16e375c521a3bc8ea658811cc0793784
  • github.com/tensorflow/tensorflow/security/advisories/GHSA-jq6x-99hj-q636
  • nvd.nist.gov/vuln/detail/CVE-2022-41884

Code Behaviors & Features

Detect and mitigate CVE-2022-41884 with GitLab Dependency Scanning

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Affected versions

All versions before 2.8.4, all versions starting from 2.9.0 before 2.9.3, all versions starting from 2.10.0 before 2.10.1

Fixed versions

  • 2.8.4
  • 2.9.3
  • 2.10.1

Solution

Upgrade to versions 2.8.4, 2.9.3, 2.10.1 or above.

Impact 7.5 HIGH

CVSS:3.1/AV:N/AC:L/PR:N/UI:N/S:U/C:N/I:N/A:H

Learn more about CVSS

Weakness

  • CWE-670: Always-Incorrect Control Flow Implementation

Source file

pypi/tensorflow-gpu/CVE-2022-41884.yml

Spotted a mistake? Edit the file on GitLab.

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