Vulnerability · Published Feb 3, 2022 · Assigned by GitHub_M

CVE-2022-21737Assertion failure based denial of service in Tensorflow

Medium 6.5

In plain English

A medium-severity security flaw in the tensorflow package (PyPI). Proof-of-concept exploit code is public. The chance it is exploited in the next 30 days is estimated at 0.8% (higher than 56% of all known vulnerabilities). Fixed versions are available - upgrade the affected package.

Severity (CVSS 3.1)6.5Medium
Exploit odds (30 days)0.8%top 43.6% 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. The implementation of `*Bincount` operations allows malicious users to cause denial of service by passing in arguments which would trigger a `CHECK`-fail. There are several conditions that the input arguments must satisfy. Some are not caught during shape inference and others are not caught during kernel implementation. This results in `CHECK` failures later when the output tensors get allocated. 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-f2vv-v9cg-qhh7
PyPItensorflow2.6.3GHSA-f2vv-v9cg-qhh7
PyPItensorflow2.7.1GHSA-f2vv-v9cg-qhh7
PyPItensorflow2.5.3, 2.6.3, 2.7.1PYSEC-2026-3164
PyPItensorflow-cpu2.6.3GHSA-f2vv-v9cg-qhh7
PyPItensorflow-cpu2.7.1GHSA-f2vv-v9cg-qhh7
PyPItensorflow-cpu2.5.3, 2.6.3PYSEC-2022-61
PyPItensorflow-cpu2.5.3GHSA-f2vv-v9cg-qhh7
PyPItensorflow-gpu2.7.1GHSA-f2vv-v9cg-qhh7
PyPItensorflow-gpu2.5.3, 2.6.3PYSEC-2022-116
PyPItensorflow-gpu2.5.3GHSA-f2vv-v9cg-qhh7
PyPItensorflow-gpu2.6.3GHSA-f2vv-v9cg-qhh7

Affected products (as reported)

VendorProductVersions
n/a n/a n/a

Weakness: CWE-754 · Vector: CVSS:3.1/AV:N/AC:L/PR:L/UI:N/S:U/C:N/I:N/A:H

References