CVE-2021-41196 MEDIUM

CVE-2021-41196: Crash in `max_pool3d` when size argument is 0 or negative

Vendor Tensorflow
Product tensorflow
Weakness CWE-191
Published November 5, 2021
Last update August 4, 2024

CVSS base score

5.5/10
Attack vector Local
Attack complexity Low
Privileges required Low
User interaction None
Confidentiality None
Integrity None

CVSS vector

CVSS:3.1/AV:L/AC:L/PR:L/UI:N/S:U/C:N/I:N/A:H

What the vulnerability does

01Description

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.

Key dates

02Disclosure timeline

November 5, 2021 CVE published
August 4, 2024 Record updated

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