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Vulnerability · Published Feb 3, 2022 · Assigned by GitHub_M

CVE-2022-21725Division by zero in Tensorflow

Medium 6.5

In plain English

A medium-severity security flaw in the tensorflow package (PyPI). Proof-of-concept exploit code is public. The chance it is exploited in the next 30 days is estimated at 0.8% (higher than 56% of all known vulnerabilities). Fixed versions are available - upgrade the affected package.

Severity (CVSS 3.1)6.5Medium
Exploit odds (30 days)0.8%top 43.6% of all CVEs
Exploited in the wildNo reportsCISA SSVC: poc
Attack toolingNoneno public tooling known

Official 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.

Affected packages & fixed versions

EcosystemPackageFixed inAdvisory
PyPItensorflow2.5.3GHSA-v3f7-j968-4h5f
PyPItensorflow2.6.3GHSA-v3f7-j968-4h5f
PyPItensorflow2.7.1GHSA-v3f7-j968-4h5f
PyPItensorflow2.5.3, 2.6.3, 2.7.1PYSEC-2026-3242
PyPItensorflow-cpu2.6.3GHSA-v3f7-j968-4h5f
PyPItensorflow-cpu2.7.1GHSA-v3f7-j968-4h5f
PyPItensorflow-cpu2.5.3, 2.6.3PYSEC-2022-49
PyPItensorflow-cpu2.5.3GHSA-v3f7-j968-4h5f
PyPItensorflow-gpu2.7.1GHSA-v3f7-j968-4h5f
PyPItensorflow-gpu2.5.3, 2.6.3PYSEC-2022-104
PyPItensorflow-gpu2.5.3GHSA-v3f7-j968-4h5f
PyPItensorflow-gpu2.6.3GHSA-v3f7-j968-4h5f

Affected products (as reported)

VendorProductVersions
n/a n/a n/a

Weakness: CWE-369 · Vector: CVSS:3.1/AV:N/AC:L/PR:L/UI:N/S:U/C:N/I:N/A:H

References