Description
TensorFlow is an open source platform for machine learning. In affected versions TensorFlow allows tensor to have a large number of dimensions and each dimension can be as large as desired. However, the total number of elements in a tensor must fit within an `int64_t`. If an overflow occurs, `MultiplyWithoutOverflow` would return a negative result. In the majority of TensorFlow codebase this then results in a `CHECK`-failure. Newer constructs exist which return a `Status` instead of crashing the binary. This is similar to CVE-2021-29584. 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 (6)
Core 6
Core References
Patch, Third Party Advisory x_refsource_confirm
https://github.com/tensorflow/tensorflow/security/advisories/GHSA-prcg-wp5q-rv7p
Exploit, Third Party Advisory x_refsource_misc
https://github.com/tensorflow/tensorflow/issues/46890
Exploit, Third Party Advisory x_refsource_misc
https://github.com/tensorflow/tensorflow/issues/51908
Patch, Third Party Advisory x_refsource_misc
https://github.com/tensorflow/tensorflow/commit/7c1692bd417eb4f9b33ead749a41166d6080af85
Patch, Third Party Advisory x_refsource_misc
https://github.com/tensorflow/tensorflow/commit/a871989d7b6c18cdebf2fb4f0e5c5b62fbc19edf
Patch, Third Party Advisory x_refsource_misc
https://github.com/tensorflow/tensorflow/commit/d81b1351da3e8c884ff836b64458d94e4a157c15
Scores
CVSS v3
5.5
EPSS
0.0002
EPSS Percentile
6.2%
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-190
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