FractionalMaxPool and FractionalAVGPool heap out-of-bounds acess

CRITIQUE 9.8CVE-2022-41900 · BIT-tensorflow-2022-41900 · GHSA-xvwp-h6jv-7472 · Published 18/11/2022 · updated 17/06/2026

En bref

CVE-2022-41900 est une vulnérabilité CRITIQUE (CVSS 9.8) touchant tensorflow, tensorflow-cpu, tensorflow-gpu.
Probabilité d'exploitation dans les 30 prochains jours (EPSS) : 0.66%, plus élevée que 51.7% des vulnérabilités.
Correctif : mettre à jour vers 2.10.1, 2.9.3, 2.8.4 ou plus récent.

Package	Affected versions	Patched versions
tensorflow PyPI	`≥ 2.10.0, < 2.10.1≥ 2.9.0, < 2.9.3< 2.8.4`	`2.10.12.9.32.8.4`
tensorflow-cpu PyPI	`≥ 2.10.0, < 2.10.1≥ 2.9.0, < 2.9.3< 2.8.4`	`2.10.12.9.32.8.4`
tensorflow-gpu PyPI	`≥ 2.10.0, < 2.10.1≥ 2.9.0, < 2.9.3< 2.8.4`	`2.10.12.9.32.8.4`
tensorflow google	`= 2.10.0≥ 2.9.0, < 2.9.3< 2.8.4`	`2.9.32.8.4`

Description

Impact

An input pooling_ratio that is smaller than 1 will trigger a heap OOB in tf.raw_ops.FractionalMaxPool and tf.raw_ops.FractionalAvgPool.

Patches

We have patched the issue in GitHub commit 216525144ee7c910296f5b05d214ca1327c9ce48.

The fix will be included in TensorFlow 2.11.0. We will also cherry pick this commit on TensorFlow 2.10.1.

For more information

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

NVD description

TensorFlow is an open source platform for machine learning. The security vulnerability results in FractionalMax(AVG)Pool with illegal pooling_ratio. Attackers using Tensorflow can exploit the vulnerability. They can access heap memory which is not in the control of user, leading to a crash or remote code execution. We have patched the issue in GitHub commit 216525144ee7c910296f5b05d214ca1327c9ce48. The fix will be included in TensorFlow 2.11.0. We will also cherry pick this commit on TensorFlow 2.10.1.