First published: Fri Mar 24 2023(Updated: )
TensorFlow is an end-to-end open source platform for machine learning. Constructing a tflite model with a paramater `filter_input_channel` of less than 1 gives a FPE. This issue has been patched in version 2.12. TensorFlow will also cherrypick the fix commit on TensorFlow 2.11.1.
Credit: security-advisories@github.com
Affected Software | Affected Version | How to fix |
---|---|---|
Google TensorFlow | <2.12.0 |
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CVE-2023-27579 is a vulnerability in TensorFlow, an open source platform for machine learning, that allows for a floating point exception (FPE) when constructing a tflite model with a `filter_input_channel` parameter less than 1.
The severity of CVE-2023-27579 is high, with a severity value of 7.5.
CVE-2023-27579 affects TensorFlow versions up to and including 2.12.0.
To fix CVE-2023-27579, update to TensorFlow version 2.12 or apply the fix commit in TensorFlow 2.11.1.
You can find more information about CVE-2023-27579 in the GitHub commit (link: https://github.com/tensorflow/tensorflow/commit/34f8368c535253f5c9cb3a303297743b62442aaa) and the TensorFlow security advisories (link: https://github.com/tensorflow/tensorflow/security/advisories/GHSA-5w96-866f-6rm8).