Vulnerability · Published Nov 18, 2022 · Assigned by GitHub_M

CVE-2022-41890`CHECK` fail in `BCast` overflow in Tensorflow

Medium 4.8

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 0.5% (higher than 43% of all known vulnerabilities). Fixed versions are available - upgrade the affected package.

Severity (CVSS 3.1)4.8Medium
Exploit odds (30 days)0.5%top 57.5% of all CVEs
Exploited in the wildNo reportsCISA SSVC: poc
Attack toolingNoneno public tooling known

Official description

TensorFlow is an open source platform for machine learning. If `BCast::ToShape` is given input larger than an `int32`, it will crash, despite being supposed to handle up to an `int64`. An example can be seen in `tf.experimental.numpy.outer` by passing in large input to the input `b`. We have patched the issue in GitHub commit 8310bf8dd188ff780e7fc53245058215a05bdbe5. The fix will be included in TensorFlow 2.11. We will also cherrypick this commit on TensorFlow 2.10.1, 2.9.3, and TensorFlow 2.8.4, as these are also affected and still in supported range.

Affected packages & fixed versions

EcosystemPackageFixed inAdvisory
PyPItensorflow2.8.4GHSA-h246-cgh4-7475
PyPItensorflow2.10.1GHSA-h246-cgh4-7475
PyPItensorflow2.10.1, 2.8.4, 2.9.3PYSEC-2026-3194
PyPItensorflow2.9.3GHSA-h246-cgh4-7475
PyPItensorflow-cpu2.10.1, 2.8.4, 2.9.3PYSEC-2026-3333
PyPItensorflow-cpu2.8.4GHSA-h246-cgh4-7475
PyPItensorflow-cpu2.9.3GHSA-h246-cgh4-7475
PyPItensorflow-cpu2.10.1GHSA-h246-cgh4-7475
PyPItensorflow-gpu2.10.1GHSA-h246-cgh4-7475
PyPItensorflow-gpu2.10.1, 2.8.4, 2.9.3PYSEC-2026-1001
PyPItensorflow-gpu2.9.3GHSA-h246-cgh4-7475
PyPItensorflow-gpu2.8.4GHSA-h246-cgh4-7475

Affected products (as reported)

VendorProductVersions
tensorflow tensorflow >= 2.10.0, < 2.10.1>= 2.9.0, < 2.9.3< 2.8.4

Weakness: CWE-704 · Vector: CVSS:3.1/AV:N/AC:H/PR:L/UI:R/S:U/C:N/I:N/A:H

References