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Vulnerability · Published Feb 3, 2022 · Assigned by GitHub_M

CVE-2022-21735Division 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 implementation of `FractionalMaxPool` can be made to crash a TensorFlow process via a division by 0. 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-87v6-crgm-2gfj
PyPItensorflow2.6.3GHSA-87v6-crgm-2gfj
PyPItensorflow2.7.1GHSA-87v6-crgm-2gfj
PyPItensorflow2.5.3, 2.6.3, 2.7.1PYSEC-2026-3134
PyPItensorflow-cpu2.6.3GHSA-87v6-crgm-2gfj
PyPItensorflow-cpu2.7.1GHSA-87v6-crgm-2gfj
PyPItensorflow-cpu2.5.3, 2.6.3PYSEC-2022-59
PyPItensorflow-cpu2.5.3GHSA-87v6-crgm-2gfj
PyPItensorflow-gpu2.7.1GHSA-87v6-crgm-2gfj
PyPItensorflow-gpu2.5.3, 2.6.3PYSEC-2022-114
PyPItensorflow-gpu2.5.3GHSA-87v6-crgm-2gfj
PyPItensorflow-gpu2.6.3GHSA-87v6-crgm-2gfj

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