Description
TensorFlow is an open source platform for machine learning. In affected versions the shape inference function for `Transpose` is vulnerable to a heap buffer overflow. This occurs whenever `perm` contains negative elements. The shape inference function does not validate that the indices in `perm` are all valid. 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 (2)
Core 2
Core References
Third Party Advisory x_refsource_confirm
https://github.com/tensorflow/tensorflow/security/advisories/GHSA-3ff2-r28g-w7h9
Patch, Third Party Advisory x_refsource_misc
https://github.com/tensorflow/tensorflow/commit/c79ba87153ee343401dbe9d1954d7f79e521eb14
Scores
CVSS v3
5.5
EPSS
0.0002
EPSS Percentile
5.4%
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-120
CWE-787
Status
published
Products (5)
google/tensorflow
2.7.0 rc0 (2 CPE variants)
google/tensorflow
2.4.0 - 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