Vulnerability · Published Nov 5, 2021 · Assigned by GitHub_M

CVE-2021-41207Division by zero in `ParallelConcat`

Medium 5.5

In plain English

A medium-severity security flaw in tensorflow from tensorflow. There are no confirmed reports of exploitation so far. The chance it is exploited in the next 30 days is estimated at 0.1% (higher than 3% of all known vulnerabilities). Fixed versions are available - upgrade the affected package.

Severity (CVSS 3.1)5.5Medium
Exploit odds (30 days)0.1%top 96.6% of all CVEs
Exploited in the wildNo reportsnot in CISA KEV
Attack toolingNoneno public tooling known

Official description

TensorFlow is an open source platform for machine learning. In affected versions the implementation of `ParallelConcat` misses some input validation and can produce a division by 0. The fix will be included in TensorFlow 2.7.0. We will also cherrypick this commit on TensorFlow 2.6.1, TensorFlow 2.5.2, and TensorFlow 2.4.4, as these are also affected and still in supported range.

Affected packages & fixed versions

EcosystemPackageFixed inAdvisory
PyPItensorflow2.4.4, 2.5.2, 2.6.1, 2.7.0PYSEC-2021-399
PyPItensorflow2.6.1GHSA-7v94-64hj-m82h
PyPItensorflow2.5.2GHSA-7v94-64hj-m82h
PyPItensorflow2.4.4GHSA-7v94-64hj-m82h
PyPItensorflow-cpu2.5.2GHSA-7v94-64hj-m82h
PyPItensorflow-cpu2.4.4, 2.5.2, 2.6.1, 2.7.0PYSEC-2021-616
PyPItensorflow-cpu2.4.4GHSA-7v94-64hj-m82h
PyPItensorflow-cpu2.6.1GHSA-7v94-64hj-m82h
PyPItensorflow-gpu2.4.4, 2.5.2, 2.6.1, 2.7.0PYSEC-2021-814
PyPItensorflow-gpu2.4.4GHSA-7v94-64hj-m82h
PyPItensorflow-gpu2.5.2GHSA-7v94-64hj-m82h
PyPItensorflow-gpu2.6.1GHSA-7v94-64hj-m82h

Affected products (as reported)

VendorProductVersions
tensorflow tensorflow >= 2.6.0, < 2.6.1>= 2.5.0, < 2.5.2< 2.4.4

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

References