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  5. CVE-2022-35973

CVE-2022-35973: Improper Input Validation

September 16, 2022

TensorFlow is an open source platform for machine learning. If QuantizedMatMul is given nonscalar input for: min_a, max_a, min_b, or max_b It gives a segfault that can be used to trigger a denial of service attack. We have patched the issue in GitHub commit aca766ac7693bf29ed0df55ad6bfcc78f35e7f48. 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.

References

  • github.com/advisories/GHSA-689c-r7h2-fv9v
  • github.com/tensorflow/tensorflow/commit/aca766ac7693bf29ed0df55ad6bfcc78f35e7f48
  • github.com/tensorflow/tensorflow/releases/tag/v2.10.0
  • github.com/tensorflow/tensorflow/security/advisories/GHSA-689c-r7h2-fv9v

Code Behaviors & Features

Detect and mitigate CVE-2022-35973 with GitLab Dependency Scanning

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Affected versions

All versions before 2.7.2, all versions starting from 2.8.0 before 2.8.1, all versions starting from 2.9.0 before 2.9.1

Fixed versions

  • 2.7.2
  • 2.8.1
  • 2.9.1

Solution

Upgrade to versions 2.7.2, 2.8.1, 2.9.1 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-20: Improper Input Validation

Source file

pypi/tensorflow-cpu/CVE-2022-35973.yml

Spotted a mistake? Edit the file on GitLab.

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