CVE-2023-25669: TensorFlow has Floating Point Exception in AvgPoolGrad with XLA
First published: Fri Mar 24 2023(Updated: )
TensorFlow is an open source platform for machine learning. Prior to versions 2.12.0 and 2.11.1, if the stride and window size are not positive for `tf.raw_ops.AvgPoolGrad`, it can give a floating point exception. A fix is included in TensorFlow version 2.12.0 and version 2.11.1.
Credit: security-advisories@github.com
| Affected Software | Affected Version | How to fix |
|---|---|---|
| Google TensorFlow | <2.12.0 |
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Reference Links
Frequently Asked Questions
What is the vulnerability ID?
The vulnerability ID is CVE-2023-25669.
What is the severity of CVE-2023-25669?
The severity of CVE-2023-25669 is high, with a severity value of 7.5.
How does CVE-2023-25669 affect TensorFlow?
CVE-2023-25669 affects TensorFlow versions prior to 2.12.0 and 2.11.1.
What is the fix for CVE-2023-25669?
The fix for CVE-2023-25669 is included in TensorFlow version 2.12.0 and version 2.11.1.
Where can I find more information about CVE-2023-25669?
You can find more information about CVE-2023-25669 in the following references: [GitHub Commit](https://github.com/tensorflow/tensorflow/commit/1295ae4dbb52fe06b19733b0257e2340d7b63b8d), [Security Advisory](https://github.com/tensorflow/tensorflow/security/advisories/GHSA-rcf8-g8jv-vg6p).
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