Description
TensorFlow is an open source platform for machine learning. If `LRNGrad` is given an `output_image` input tensor that is not 4-D, it results in a `CHECK` fail that can be used to trigger a denial of service attack. We have patched the issue in GitHub commit bd90b3efab4ec958b228cd7cfe9125be1c0cf255. The fix will be included in TensorFlow 2.10.0. We will also cherrypick this commit on TensorFlow 2.9.1, TensorFlow 2.8.1, and TensorFlow 2.7.2, as these are also affected and still in supported range. There are no known workarounds for this issue.
References (2)
Core 2
Core References
Third Party Advisory x_refsource_confirm
https://github.com/tensorflow/tensorflow/security/advisories/GHSA-9942-r22v-78cp
Patch, Third Party Advisory x_refsource_misc
https://github.com/tensorflow/tensorflow/commit/bd90b3efab4ec958b228cd7cfe9125be1c0cf255
Scores
CVSS v3
5.9
EPSS
0.0006
EPSS Percentile
19.7%
Attack Vector
NETWORK
CVSS:3.1/AV:N/AC:H/PR:N/UI:N/S:U/C:N/I:N/A:H
CISA SSVC
Vulnrichment
Exploitation
none
Automatable
no
Technical Impact
partial
Details
CWE
CWE-617
Status
published
Products (5)
google/tensorflow
2.10 rc0 (4 CPE variants)
google/tensorflow
< 2.7.2
pypi/tensorflow
0 - 2.7.2PyPI
pypi/tensorflow-cpu
0 - 2.7.2PyPI
pypi/tensorflow-gpu
0 - 2.7.2PyPI
Published
Sep 16, 2022
Tracked Since
Feb 18, 2026