DescriptionTensorFlow is an open source platform for machine learning. When `tf.quantization.fake_quant_with_min_max_vars_gradient` receives input `min` or `max` that is nonscalar, it gives a `CHECK` fail that can trigger a denial of service attack. We have patched the issue in GitHub commit f3cf67ac5705f4f04721d15e485e192bb319feed. 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.
Overall state of this security issue: Does not affect SUSE products
This issue is currently rated as having critical severity.
|National Vulnerability Database|
List of released packages
|Product(s)||Fixed package version(s)||References|
|openSUSE Tumbleweed|| ||Patchnames: |
openSUSE Tumbleweed GA tensorflow-lite-2.10.0-1.1
SUSE Timeline for this CVECVE page created: Sat Sep 17 09:33:47 2022
CVE page last modified: Wed Oct 26 23:59:11 2022