Vulnerability · Published Jul 30, 2024 · Assigned by GitHub_M

CVE-2023-33976TensorFlow segfault in array_ops.upper_bound

High 7.5

In plain English

A high-severity integer overflow 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 0.4% (higher than 38% of all known vulnerabilities). Fixed versions are available - upgrade the affected package.

Severity (CVSS 3.1)7.5High
Exploit odds (30 days)0.4%top 62.3% of all CVEs
Exploited in the wildNo reportsCISA SSVC: none
Attack toolingNoneno public tooling known

Official description

TensorFlow is an end-to-end open source platform for machine learning. `array_ops.upper_bound` causes a segfault when not given a rank 2 tensor. The fix will be included in TensorFlow 2.13 and will also cherrypick this commit on TensorFlow 2.12.

Affected packages & fixed versions

EcosystemPackageFixed inAdvisory
PyPItensorflow2.12.1GHSA-gjh7-xx4r-x345
PyPItensorflow2.12.1PYSEC-2026-3190
PyPItensorflow-cpu2.12.1GHSA-gjh7-xx4r-x345
PyPItensorflow-cpu2.12.1PYSEC-2026-3331
PyPItensorflow-gpu2.12.1GHSA-gjh7-xx4r-x345
PyPItensorflow-gpu2.12.1PYSEC-2026-1962

Affected products (as reported)

VendorProductVersions
tensorflow tensorflow < 2.13.0

Weakness: CWE-190 · Vector: CVSS:3.1/AV:N/AC:L/PR:N/UI:N/S:U/C:N/I:N/A:H

References