Description
TensorFlow is an open source platform for machine learning. If `QuantizedInstanceNorm` is given `x_min` or `x_max` 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 785d67a78a1d533759fcd2f5e8d6ef778de849e0. 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/785d67a78a1d533759fcd2f5e8d6ef778de849e0
https://github.com/tensorflow/tensorflow/security/advisories/GHSA-g35r-369w-3fqp
CVSS impact metrics
CVSS:3.1/AV:N/AC:L/PR:N/UI:N/S:U/C:N/I:N/A:H
7.5 · High
CVSS V3.1
CVSS V3.0
CVSS V2.0
Information
Source identifier
Vulnerability status
Analyzed
Published
2022-09-16T21:15:09.293
2 years agoLast modified
2022-09-20T20:01:18.750
2 years ago