Crash in max_pool3d when size argument is 0 or negative

tensorflow Updated 02 Oct 2025

Summary

06/03/2024

Disclosed on

CVE-2021-41196

CVE

Yes i

Fix available

Medium

Severity

Not published

CVSS Score

CVE-2021-41196: Crash in max_pool3d when size argument is 0 or negative. Affects tensorflow across 3 version ranges.

< 2.4.4 >= 2.5.0, < 2.5.2 >= 2.6.0, < 2.6.1

Fixed in 2.4.4, 2.5.2 or 2.6.1, depending on the release line you run. How to fix ↓

Also tracked for

tensorflow · PyPI
tensorflow · PyPI
tensorflow-cpu · PyPI
tensorflow-gpu · PyPI

The same CVE-2021-41196 is tracked separately for each ecosystem and vendor. Its fix information is the same; the package and affected versions differ.

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TensorFlow is an open source platform for machine learning. In affected versions the Keras pooling layers can trigger a segfault if the size of the pool is 0 or if a dimension is negative. This is due to the TensorFlow's implementation of pooling operations where the values in the sliding window are not checked to be strictly positive. The fix will be included in TensorFlow 2.7.0. We will also cherrypick this commit on TensorFlow 2.6.1, TensorFlow 2.5.2, and TensorFlow 2.4.4, as these are also affected and still in supported range.