Vulnerability · Published Sep 16, 2022 · Assigned by GitHub_M

CVE-2022-35991`CHECK` fail in `TensorListScatter` and `TensorListScatterV2` in TensorFlow

Medium 5.9

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 0.5% (higher than 45% of all known vulnerabilities). Fixed versions are available - upgrade the affected package.

Severity (CVSS 3.1)5.9Medium
Exploit odds (30 days)0.5%top 54.9% of all CVEs
Exploited in the wildNo reportsCISA SSVC: none
Attack toolingNoneno public tooling known

Official description

TensorFlow is an open source platform for machine learning. When `TensorListScatter` and `TensorListScatterV2` receive an `element_shape` of a rank greater than one, they give a `CHECK` fail that can trigger a denial of service attack. We have patched the issue in GitHub commit bb03fdf4aae944ab2e4b35c7daa051068a8b7f61. The fix will be included in TensorFlow 2.10.0. We will also cherrypick this commit on TensorFlow 2.9.1, TensorFlow 2.8.1, and TensorFlow 2.7.2, as these are also affected and still in supported range. There are no known workarounds for this issue.

Affected packages & fixed versions

EcosystemPackageFixed inAdvisory
PyPItensorflow2.9.1GHSA-vm7x-4qhj-rrcq
PyPItensorflow2.8.1GHSA-vm7x-4qhj-rrcq
PyPItensorflow2.7.2GHSA-vm7x-4qhj-rrcq
PyPItensorflow2.7.2, 2.8.1, 2.9.1PYSEC-2026-3248
PyPItensorflow-cpu2.7.2, 2.8.1, 2.9.1PYSEC-2026-3374
PyPItensorflow-cpu2.7.2GHSA-vm7x-4qhj-rrcq
PyPItensorflow-cpu2.8.1GHSA-vm7x-4qhj-rrcq
PyPItensorflow-cpu2.9.1GHSA-vm7x-4qhj-rrcq
PyPItensorflow-gpu2.9.1GHSA-vm7x-4qhj-rrcq
PyPItensorflow-gpu2.7.2, 2.8.1, 2.9.1PYSEC-2026-1040
PyPItensorflow-gpu2.8.1GHSA-vm7x-4qhj-rrcq
PyPItensorflow-gpu2.7.2GHSA-vm7x-4qhj-rrcq

Affected products (as reported)

VendorProductVersions
tensorflow tensorflow < 2.7.2>= 2.8.0, < 2.8.1>= 2.9.0, < 2.9.1

Weakness: CWE-617 · Vector: CVSS:3.1/AV:N/AC:H/PR:N/UI:N/S:U/C:N/I:N/A:H

References