Advisory Database
  • Advisories
  • Dependency Scanning
  1. pypi
  2. ›
  3. tensorflow-gpu
  4. ›
  5. CVE-2022-35974

CVE-2022-35974: Improper Input Validation

September 16, 2022

TensorFlow is an open source platform for machine learning. If QuantizeDownAndShrinkRange is given nonscalar inputs for input_min or input_max, it results in a segfault that can be used to trigger a denial of service attack. We have patched the issue in GitHub commit 73ad1815ebcfeb7c051f9c2f7ab5024380ca8613. 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-vgvh-2pf4-jr2x
  • github.com/tensorflow/tensorflow/commit/73ad1815ebcfeb7c051f9c2f7ab5024380ca8613
  • github.com/tensorflow/tensorflow/releases/tag/v2.10.0
  • github.com/tensorflow/tensorflow/security/advisories/GHSA-vgvh-2pf4-jr2x

Code Behaviors & Features

Detect and mitigate CVE-2022-35974 with GitLab Dependency Scanning

Secure your software supply chain by verifying that all open source dependencies used in your projects contain no disclosed vulnerabilities. Learn more about Dependency Scanning →

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-gpu/CVE-2022-35974.yml

Spotted a mistake? Edit the file on GitLab.

  • Site Repo
  • About GitLab
  • Terms
  • Privacy Statement
  • Contact

Page generated Wed, 14 May 2025 12:16:07 +0000.