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Vulnerability · Published Nov 18, 2022 · Assigned by GitHub_M

CVE-2022-41909Segfault in `CompositeTensorVariantToComponents` in Tensorflow

Medium 4.8

In plain English

A medium-severity improper input validation in tensorflow from tensorflow. Proof-of-concept exploit code is public. The chance it is exploited in the next 30 days is estimated at 0.5% (higher than 46% of all known vulnerabilities). Fixed versions are available - upgrade the affected package.

Severity (CVSS 3.1)4.8Medium
Exploit odds (30 days)0.5%top 53.9% of all CVEs
Exploited in the wildNo reportsCISA SSVC: poc
Attack toolingNoneno public tooling known

Official description

TensorFlow is an open source platform for machine learning. An input `encoded` that is not a valid `CompositeTensorVariant` tensor will trigger a segfault in `tf.raw_ops.CompositeTensorVariantToComponents`. We have patched the issue in GitHub commits bf594d08d377dc6a3354d9fdb494b32d45f91971 and 660ce5a89eb6766834bdc303d2ab3902aef99d3d. The fix will be included in TensorFlow 2.11. We will also cherrypick this commit on TensorFlow 2.10.1, 2.9.3, and TensorFlow 2.8.4, as these are also affected and still in supported range.

Affected packages & fixed versions

EcosystemPackageFixed inAdvisory
PyPItensorflow2.8.4GHSA-rjx6-v474-2ch9
PyPItensorflow2.10.1GHSA-rjx6-v474-2ch9
PyPItensorflow2.10.1, 2.8.4, 2.9.3PYSEC-2026-3238
PyPItensorflow2.9.3GHSA-rjx6-v474-2ch9
PyPItensorflow-cpu2.10.1, 2.8.4, 2.9.3PYSEC-2026-3368
PyPItensorflow-cpu2.8.4GHSA-rjx6-v474-2ch9
PyPItensorflow-cpu2.9.3GHSA-rjx6-v474-2ch9
PyPItensorflow-cpu2.10.1GHSA-rjx6-v474-2ch9
PyPItensorflow-gpu2.10.1GHSA-rjx6-v474-2ch9
PyPItensorflow-gpu2.10.1, 2.8.4, 2.9.3PYSEC-2026-1034
PyPItensorflow-gpu2.9.3GHSA-rjx6-v474-2ch9
PyPItensorflow-gpu2.8.4GHSA-rjx6-v474-2ch9

Affected products (as reported)

VendorProductVersions
tensorflow tensorflow >= 2.10.0, < 2.10.1>= 2.9.0, < 2.9.3< 2.8.4

Weakness: CWE-20 · Vector: CVSS:3.1/AV:N/AC:H/PR:L/UI:R/S:U/C:N/I:N/A:H

References