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.
Related CPE's
a
tensorflow
References
https://github.com/tensorflow/tensorflow/commit/bd90b3efab4ec958b228cd7cfe9125be1c0cf255
https://github.com/tensorflow/tensorflow/security/advisories/GHSA-9942-r22v-78cp
https://github.com/tensorflow/tensorflow/commit/bd90b3efab4ec958b228cd7cfe9125be1c0cf255
https://github.com/tensorflow/tensorflow/security/advisories/GHSA-9942-r22v-78cp
CVSS impact metrics
CVSS:3.1/AV:N/AC:H/PR:N/UI:N/S:U/C:N/I:N/A:H
5.9 · Medium
Information
Source identifier
Vulnerability status
Modified
Published
2022-09-16T20:15:11.427Z
3 years agoLast modified
2024-11-21T06:12:06.953Z
1 year ago