Vulnerability · Published Feb 4, 2022 · Assigned by GitHub_M

CVE-2022-23588`CHECK`-fails due to attempting to build a reference tensor in Tensorflow

Medium 6.5

In plain English

A medium-severity security flaw in tensorflow from tensorflow. Proof-of-concept exploit code is public. The chance it is exploited in the next 30 days is estimated at 0.9% (higher than 59% of all known vulnerabilities). Fixed versions are available - upgrade the affected package.

Severity (CVSS 3.1)6.5Medium
Exploit odds (30 days)0.9%top 41.0% 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. A malicious user can cause a denial of service by altering a `SavedModel` such that Grappler optimizer would attempt to build a tensor using a reference `dtype`. This would result in a crash due to a `CHECK`-fail in the `Tensor` constructor as reference types are not allowed. 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-fx5c-h9f6-rv7c
PyPItensorflow2.6.3GHSA-fx5c-h9f6-rv7c
PyPItensorflow2.7.1GHSA-fx5c-h9f6-rv7c
PyPItensorflow2.5.3, 2.6.3, 2.7.1PYSEC-2026-3181
PyPItensorflow-cpu2.6.3GHSA-fx5c-h9f6-rv7c
PyPItensorflow-cpu2.7.1GHSA-fx5c-h9f6-rv7c
PyPItensorflow-cpu2.5.3, 2.6.3PYSEC-2022-97
PyPItensorflow-cpu2.5.3GHSA-fx5c-h9f6-rv7c
PyPItensorflow-gpu2.7.1GHSA-fx5c-h9f6-rv7c
PyPItensorflow-gpu2.5.3, 2.6.3PYSEC-2022-152
PyPItensorflow-gpu2.5.3GHSA-fx5c-h9f6-rv7c
PyPItensorflow-gpu2.6.3GHSA-fx5c-h9f6-rv7c

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