TensorFlow has segfault in array_ops.upper_bound

HIGH 7.5CVE-2023-33976 · BIT-tensorflow-2023-33976 · GHSA-gjh7-xx4r-x345 · Published 30/07/2024 · updated 17/06/2026

In short

CVE-2023-33976 is a HIGH (CVSS 7.5) vulnerability affecting tensorflow, tensorflow-cpu, tensorflow-gpu.
Chance of exploitation in the next 30 days (EPSS): 0.43%, higher than 37.8% of all vulnerabilities.
Fix: update to 2.12.1, 2.13.0 or later.

Package	Affected versions	Patched versions
tensorflow PyPI	`< 2.12.1`	`2.12.1`
tensorflow-cpu PyPI	`< 2.12.1`	`2.12.1`
tensorflow-gpu PyPI	`< 2.12.1`	`2.12.1`
tensorflow google	`< 2.13.0`	`2.13.0`

Description

Impact

array_ops.upper_bound causes a segfault when not given a rank 2 tensor.

Patches

We have patched the issue in GitHub commit 915884fdf5df34aaedd00fc6ace33a2cfdefa586.

The fix will be included in TensorFlow 2.13. We will also cherrypick this commit in TensorFlow 2.12.1.

For more information

Please consult our security guide for more information regarding the security model and how to contact us with issues and questions.

Attribution

This vulnerability has been reported by dmc1778

NVD 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.