TensorFlow vulnerable to OOB write in `scatter_nd` in TF Lite

CRITIQUE 9.8CVE-2022-35939 · BIT-tensorflow-2022-35939 · GHSA-ffjm-4qwc-7cmf · Published 16/09/2022 · updated 17/06/2026

En bref

CVE-2022-35939 est une vulnérabilité CRITIQUE (CVSS 9.8) touchant tensorflow, tensorflow-cpu, tensorflow-gpu.
Probabilité d'exploitation dans les 30 prochains jours (EPSS) : 0.57%, plus élevée que 47.2% des vulnérabilités.
Correctif : mettre à jour vers 2.8.1, 2.9.1, 2.7.2 ou plus récent.

Package	Affected versions	Patched versions
tensorflow PyPI	`≥ 2.8.0, < 2.8.1≥ 2.9.0, < 2.9.1< 2.7.2`	`2.8.12.9.12.7.2`
tensorflow-cpu PyPI	`≥ 2.8.0, < 2.8.1≥ 2.9.0, < 2.9.1< 2.7.2`	`2.8.12.9.12.7.2`
tensorflow-gpu PyPI	`≥ 2.8.0, < 2.8.1≥ 2.9.0, < 2.9.1< 2.7.2`	`2.8.12.9.12.7.2`
tensorflow google	`= 2.10≥ 2.7.0, < 2.7.2≥ 2.8.0, < 2.8.1≥ 2.9.0, < 2.9.1`	`2.7.22.8.12.9.1`

Description

Impact

The ScatterNd function takes an input argument that determines the indices of of the output tensor. An input index greater than the output tensor or less than zero will either write content at the wrong index or trigger a crash.

Patches

We have patched the issue in GitHub commit b4d4b4cb019bd7240a52daa4ba61e3cc814f0384.

The fix will be included in TensorFlow 2.10.0. We will also cherrypick this commit on TensorFlow 2.9.1, TensorFlow 2.8.1, and TensorFlow 2.7.2, as these are also affected and still in supported range.

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 Hui Peng from Baidu Security.

NVD description

TensorFlow is an open source platform for machine learning. The `ScatterNd` function takes an input argument that determines the indices of of the output tensor. An input index greater than the output tensor or less than zero will either write content at the wrong index or trigger a crash. We have patched the issue in GitHub commit b4d4b4cb019bd7240a52daa4ba61e3cc814f0384. The fix will be included in TensorFlow 2.10.0. We will also cherrypick this commit on TensorFlow 2.9.1, TensorFlow 2.8.1, and TensorFlow 2.7.2, as these are also affected and still in supported range. There are no known workarounds for this issue.