CVE-2022-41895: `MirrorPadGrad` heap out of bounds read in Tensorflow
First published: Fri Nov 18 2022(Updated: )
TensorFlow is an open source platform for machine learning. If `MirrorPadGrad` is given outsize input `paddings`, TensorFlow will give a heap OOB error. We have patched the issue in GitHub commit 717ca98d8c3bba348ff62281fdf38dcb5ea1ec92. The fix will be included in TensorFlow 2.11. We will also cherrypick this commit on TensorFlow 2.10.1, 2.9.3, and TensorFlow 2.8.4, as these are also affected and still in supported range.
Credit: security-advisories@github.com
| Affected Software | Affected Version | How to fix |
|---|---|---|
| Google TensorFlow | <2.8.4 | |
| Google TensorFlow | >=2.9.0<2.9.3 | |
| Google TensorFlow | >=2.10.0<2.10.1 |
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Reference Links
Frequently Asked Questions
What is the vulnerability ID for this TensorFlow vulnerability?
The vulnerability ID for this TensorFlow vulnerability is CVE-2022-41895.
What is the severity rating of CVE-2022-41895?
The severity rating of CVE-2022-41895 is high with a value of 7.5.
What is the affected software for CVE-2022-41895?
The affected software for CVE-2022-41895 is versions 2.8.4, 2.9.0 to 2.9.3, and 2.10.0 to 2.10.1 of Google TensorFlow.
How can I fix the CVE-2022-41895 vulnerability?
To fix the CVE-2022-41895 vulnerability, update TensorFlow to version 2.11 or later.
Where can I find more information about CVE-2022-41895?
You can find more information about CVE-2022-41895 on the GitHub page [linking to the respective advisory].
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