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.
History

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cve-icon MITRE

Status: PUBLISHED

Assigner: GitHub_M

Published: 2021-11-05T19:55:13

Updated: 2024-08-04T03:08:31.485Z

Reserved: 2021-09-15T00:00:00

Link: CVE-2021-41196

cve-icon Vulnrichment

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cve-icon NVD

Status : Analyzed

Published: 2021-11-05T20:15:07.780

Modified: 2021-11-09T13:56:01.853

Link: CVE-2021-41196

cve-icon Redhat

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