Upstream information
Description
TensorFlow is an open source platform for machine learning. In affected versions TensorFlow's Grappler optimizer has a use of unitialized variable. If the `train_nodes` vector (obtained from the saved model that gets optimized) does not contain a `Dequeue` node, then `dequeue_node` is left unitialized. The fix will be included in TensorFlow 2.7.0. We will also cherrypick this commit on TensorFlow 2.6.1, TensorFlow 2.5.2, and TensorFlow 2.4.4, as these are also affected and still in supported range.SUSE information
Overall state of this security issue: Does not affect SUSE products
This issue is currently rated as having important severity.
National Vulnerability Database | |
---|---|
Base Score | 2.1 |
Vector | AV:L/AC:L/Au:N/C:N/I:N/A:P |
Access Vector | Local |
Access Complexity | Low |
Authentication | None |
Confidentiality Impact | None |
Integrity Impact | None |
Availability Impact | Partial |
National Vulnerability Database | |
---|---|
Base Score | 7.8 |
Vector | CVSS:3.1/AV:L/AC:L/PR:L/UI:N/S:U/C:H/I:H/A:H |
Attack Vector | Local |
Attack Complexity | Low |
Privileges Required | Low |
User Interaction | None |
Scope | Unchanged |
Confidentiality Impact | High |
Integrity Impact | High |
Availability Impact | High |
CVSSv3 Version | 3.1 |
List of released packages
Product(s) | Fixed package version(s) | References |
---|---|---|
openSUSE Tumbleweed |
| Patchnames: openSUSE Tumbleweed GA tensorflow-lite-2.9.1-1.1 |
SUSE Timeline for this CVE
CVE page created: Mon Nov 8 11:31:08 2021CVE page last modified: Wed Oct 26 23:26:32 2022