Description
TensorFlow is an open source platform for machine learning. If `QuantizedAvgPool` is given `min_input` or `max_input` tensors of a nonzero rank, it results in a segfault that can be used to trigger a denial of service attack. We have patched the issue in GitHub commit 7cdf9d4d2083b739ec81cfdace546b0c99f50622. 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/7cdf9d4d2083b739ec81cfdace546b0c99f50622
https://github.com/tensorflow/tensorflow/security/advisories/GHSA-4w68-4x85-mjj9
https://github.com/tensorflow/tensorflow/commit/7cdf9d4d2083b739ec81cfdace546b0c99f50622
https://github.com/tensorflow/tensorflow/security/advisories/GHSA-4w68-4x85-mjj9
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
2022-09-16T19:15:09.033Z
3 years agoLast modified
2024-11-21T06:12:04.203Z
1 year ago