Advisory Database
  • Advisories
  • Dependency Scanning
  1. pypi
  2. ›
  3. tensorflow
  4. ›
  5. CVE-2021-29544

CVE-2021-29544: Improper Check for Unusual or Exceptional Conditions

May 21, 2021

TensorFlow is an end-to-end open source platform for machine learning. An attacker can trigger a denial of service via a CHECK-fail in tf.raw_ops.QuantizeAndDequantizeV4Grad. This is because the implementation does not validate the rank of the input_* tensors. In turn, this results in the tensors being passes as they are to QuantizeAndDequantizePerChannelGradientImpl. However, the vec<T> method, requires the rank to 1 and triggers a CHECK failure otherwise. The fix will be included in TensorFlow 2.5.0. We will also cherrypick this commit on TensorFlow 2.4.2 as this is the only other affected version.

References

  • github.com/advisories/GHSA-6g85-3hm8-83f9
  • github.com/tensorflow/tensorflow/commit/20431e9044cf2ad3c0323c34888b192f3289af6b
  • github.com/tensorflow/tensorflow/security/advisories/GHSA-6g85-3hm8-83f9
  • nvd.nist.gov/vuln/detail/CVE-2021-29544

Code Behaviors & Features

Detect and mitigate CVE-2021-29544 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 starting from 2.4.0 before 2.4.2

Fixed versions

  • 2.4.2

Solution

Upgrade to version 2.4.2 or above.

Impact 5.5 MEDIUM

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

Learn more about CVSS

Weakness

  • CWE-754: Improper Check for Unusual or Exceptional Conditions

Source file

pypi/tensorflow/CVE-2021-29544.yml

Spotted a mistake? Edit the file on GitLab.

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

Page generated Wed, 14 May 2025 12:15:12 +0000.