CVE-2021-41196

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.

• CWE-191
• CWE-191

• https://github.com/tensorflow/tensorflow/commit/12b1ff82b3f26ff8de17e58703231d5a02ef1b8bPatch, Third Party Advisory
• https://github.com/tensorflow/tensorflow/issues/51936Exploit, Third Party Advisory
• https://github.com/tensorflow/tensorflow/security/advisories/GHSA-m539-j985-hcr8Exploit, Third Party Advisory
• https://github.com/tensorflow/tensorflow/commit/12b1ff82b3f26ff8de17e58703231d5a02ef1b8bPatch, Third Party Advisory
• https://github.com/tensorflow/tensorflow/issues/51936Exploit, Third Party Advisory
• https://github.com/tensorflow/tensorflow/security/advisories/GHSA-m539-j985-hcr8Exploit, Third Party Advisory

Published

Nov 5, 2021

Last Modified

Jun 17, 2026

Status

Modified

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