Vulnerability · Published Feb 4, 2022 · Assigned by GitHub_M

CVE-2022-23564Reachable Assertion in Tensorflow

Medium 6.5

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 0.5% (higher than 41% of all known vulnerabilities). Fixed versions are available - upgrade the affected package.

Severity (CVSS 3.1)6.5Medium
Exploit odds (30 days)0.5%top 59.2% of all CVEs
Exploited in the wildNo reportsCISA SSVC: none
Attack toolingNoneno public tooling known

Official description

Tensorflow is an Open Source Machine Learning Framework. When decoding a resource handle tensor from protobuf, a TensorFlow process can encounter cases where a `CHECK` assertion is invalidated based on user controlled arguments. This allows attackers to cause denial of services in TensorFlow processes. 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-8rcj-c8pj-v3m3
PyPItensorflow2.6.3GHSA-8rcj-c8pj-v3m3
PyPItensorflow2.7.1GHSA-8rcj-c8pj-v3m3
PyPItensorflow2.5.3, 2.6.3, 2.7.1PYSEC-2026-3139
PyPItensorflow-cpu2.6.3GHSA-8rcj-c8pj-v3m3
PyPItensorflow-cpu2.7.1GHSA-8rcj-c8pj-v3m3
PyPItensorflow-cpu2.5.3, 2.6.3PYSEC-2022-73
PyPItensorflow-cpu2.5.3GHSA-8rcj-c8pj-v3m3
PyPItensorflow-gpu2.7.1GHSA-8rcj-c8pj-v3m3
PyPItensorflow-gpu2.5.3, 2.6.3PYSEC-2022-128
PyPItensorflow-gpu2.5.3GHSA-8rcj-c8pj-v3m3
PyPItensorflow-gpu2.6.3GHSA-8rcj-c8pj-v3m3

Affected products (as reported)

VendorProductVersions
tensorflow tensorflow >= 2.7.0, < 2.7.1>= 2.6.0, < 2.6.3< 2.5.3

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

References