TensorFlow is an Open Source Machine Learning Framework. In versions prior to 2.11.1 a malicious invalid input crashes a tensorflow model (Check Failed) and can be used to trigger a denial of service attack. A proof of concept can be constructed with the `Convolution3DTranspose` function. This Convolution3DTranspose layer is a very common API in modern neural networks. The ML models containing such vulnerable components could be deployed in ML applications or as cloud services. This failure could be potentially used to trigger a denial of service attack on ML cloud services. An attacker must have privilege to provide input to a `Convolution3DTranspose` call. This issue has been patched and users are advised to upgrade to version 2.11.1. There are no known workarounds for this vulnerability.
Find out more about CVE-2023-25661 from the MITRE-CVE dictionary and NIST NVD
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| Product Name | Status | Defect | Fixed | Downloads |
|---|---|---|---|---|
| Linux | ||||
| Wind River Linux LTS 17 | Not Vulnerable | -- | -- | -- |
| Wind River Linux 8 | Not Vulnerable | -- | -- | -- |
| Wind River Linux 9 | Not Vulnerable | -- | -- | -- |
| Wind River Linux 7 | Not Vulnerable | -- | -- | -- |
| Wind River Linux LTS 21 | Not Vulnerable |
LIN1021-5528 |
-- | -- |
| Wind River Linux LTS 22 | Fixed |
LIN1022-3796 |
10.22.33.8 | -- |
| Wind River Linux LTS 18 | Not Vulnerable | -- | -- | -- |
| Wind River Linux LTS 19 | Not Vulnerable | -- | -- | -- |
| Wind River Linux CD release | Not Vulnerable | -- | -- | -- |
| Wind River Linux 6 | Not Vulnerable | -- | -- | -- |
| Wind River Linux LTS 23 | Not Vulnerable | -- | -- | -- |
| VxWorks | ||||
| VxWorks 7 | Not Vulnerable | -- | -- | -- |
| VxWorks 6.9 | Not Vulnerable | -- | -- | -- |
| Helix Virtualization Platform Cert Edition | ||||
| Helix Virtualization Platform Cert Edition | Not Vulnerable | -- | -- | -- |
| Product Name | Status | Defect | Fixed | Downloads |
|---|
