Vulnerability · Published Feb 3, 2022 · Assigned by GitHub_M

CVE-2022-23569`CHECK`-fails when building invalid tensor shapes in Tensorflow

Medium 6.5

In plain English

A medium-severity security flaw in the tensorflow package (PyPI). 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 40% 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 59.8% 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. Multiple operations in TensorFlow can be used to trigger a denial of service via `CHECK`-fails (i.e., assertion failures). This is similar to TFSA-2021-198 and has similar fixes. We have patched the reported issues in multiple GitHub commits. It is possible that other similar instances exist in TensorFlow, we will issue fixes as these are discovered. 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-qj5r-f9mv-rffh
PyPItensorflow2.6.3GHSA-qj5r-f9mv-rffh
PyPItensorflow2.7.1GHSA-qj5r-f9mv-rffh
PyPItensorflow2.5.3, 2.6.3, 2.7.1PYSEC-2026-3230
PyPItensorflow-cpu2.6.3GHSA-qj5r-f9mv-rffh
PyPItensorflow-cpu2.7.1GHSA-qj5r-f9mv-rffh
PyPItensorflow-cpu2.5.3, 2.6.3PYSEC-2022-78
PyPItensorflow-cpu2.5.3GHSA-qj5r-f9mv-rffh
PyPItensorflow-gpu2.7.1GHSA-qj5r-f9mv-rffh
PyPItensorflow-gpu2.5.3, 2.6.3PYSEC-2022-133
PyPItensorflow-gpu2.5.3GHSA-qj5r-f9mv-rffh
PyPItensorflow-gpu2.6.3GHSA-qj5r-f9mv-rffh

Affected products (as reported)

VendorProductVersions
n/a n/a n/a

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

References