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.
References (3)
Core 3
Core References
Exploit, Third Party Advisory x_refsource_confirm
https://github.com/tensorflow/tensorflow/security/advisories/GHSA-m539-j985-hcr8
Exploit, Third Party Advisory x_refsource_misc
https://github.com/tensorflow/tensorflow/issues/51936
Patch, Third Party Advisory x_refsource_misc
https://github.com/tensorflow/tensorflow/commit/12b1ff82b3f26ff8de17e58703231d5a02ef1b8b
Scores
CVSS v3
5.5
EPSS
0.0005
EPSS Percentile
14.9%
Attack Vector
LOCAL
CVSS:3.1/AV:L/AC:L/PR:L/UI:N/S:U/C:N/I:N/A:H
Details
CWE
CWE-191
Status
published
Products (4)
google/tensorflow
< 2.4.4
pypi/tensorflow
2.6.0 - 2.6.1PyPI
pypi/tensorflow-cpu
2.6.0 - 2.6.1PyPI
pypi/tensorflow-gpu
2.6.0 - 2.6.1PyPI
Published
Nov 05, 2021
Tracked Since
Feb 18, 2026