Upstream information
Description
Tensorflow is an Open Source Machine Learning Framework. ### Impact An attacker can craft a TFLite model that would trigger a division by zero in the implementation of depthwise convolutions. The parameters of the convolution can be user controlled and are also used within a division operation to determine the size of the padding that needs to be added before applying the convolution. There is no check before this division that the divisor is strictly positive. The fix will be included in TensorFlow 2.8.0. We will also cherrypick this commit on TensorFlow 2.7.1, TensorFlow 2.6.3, and TensorFlow 2.5.3, 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 critical severity.
National Vulnerability Database | |
---|---|
Base Score | 5 |
Vector | AV:N/AC:L/Au:N/C:N/I:N/A:P |
Access Vector | Network |
Access Complexity | Low |
Authentication | None |
Confidentiality Impact | None |
Integrity Impact | None |
Availability Impact | Partial |
National Vulnerability Database | |
---|---|
Base Score | 6.5 |
Vector | CVSS:3.1/AV:N/AC:L/PR:L/UI:N/S:U/C:N/I:N/A:H |
Attack Vector | Network |
Attack Complexity | Low |
Privileges Required | Low |
User Interaction | None |
Scope | Unchanged |
Confidentiality Impact | None |
Integrity Impact | None |
Availability Impact | High |
CVSSv3 Version | 3.1 |
List of released packages
Product(s) | Fixed package version(s) | References |
---|---|---|
openSUSE Tumbleweed |
| Patchnames: openSUSE-Tumbleweed-2024-12116 |
SUSE Timeline for this CVE
CVE page created: Fri Feb 4 10:30:25 2022CVE page last modified: Tue Sep 3 19:24:58 2024