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CVE-2021-41196

nvd nist
Published: Nov 5, 2021Modified: Jun 17, 2026

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5.5
Vector
CVSS:3.1/AV:L/AC:L/PR:L/UI:N/S:U/C:N/I:N/A:H
Exploitability: 1.8 / Impact: 3.6
Source: NVD

Description

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.

Affected (3)

Products: Google: Tensorflow
Google
1 product
Tensorflow
Configuration A
3 vulnerable
Vulnerable SoftwareAffected Versions
Google
Tensorflow
Before 2.4.4
Tensorflow
From 2.5.0 to 2.5.2
Tensorflow
From 2.6.0 to 2.6.1

Related CWEs

CWE-191
Integer Underflow (Wrap or Wraparound)
The product subtracts one value from another, such that the result is less than the minimum allowable integer value, which produces a value that is not equal to the correct result.

References (6)

Source: security-advisories@github.com
PatchThird Party Advisory
Source: security-advisories@github.com
ExploitThird Party Advisory
Source: security-advisories@github.com
ExploitThird Party Advisory
Source: af854a3a-2127-422b-91ae-364da2661108
PatchThird Party Advisory
Source: af854a3a-2127-422b-91ae-364da2661108
ExploitThird Party Advisory
Source: af854a3a-2127-422b-91ae-364da2661108
ExploitThird Party Advisory

Timeline

No history available yet.