CVE-2023-25667: TensorFlow vulnerable to segfault when opening multiframe gif
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, integer overflow occurs when `2^31 <= num_frames * height * width * channels < 2^32`, for example Full HD screencast of at least 346 frames. 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 |
|---|---|---|
| TensorFlow Keras | <2.12.0 |
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Reference Links
Frequently Asked Questions
What is CVE-2023-25667?
CVE-2023-25667 is a vulnerability in TensorFlow, an open source platform for machine learning, that allows integer overflow to occur under certain conditions.
What is the severity of CVE-2023-25667?
The severity of CVE-2023-25667 is high, with a severity value of 7.5.
How does CVE-2023-25667 affect TensorFlow?
CVE-2023-25667 affects TensorFlow versions prior to 2.12.0 and 2.11.1.
How can I fix CVE-2023-25667?
To fix CVE-2023-25667, update to TensorFlow version 2.12.0 or version 2.11.1.
Where can I find more information about CVE-2023-25667?
You can find more information about CVE-2023-25667 at the following references: [GitHub Commit](https://github.com/tensorflow/tensorflow/commit/8dc723fcdd1a6127d6c970bd2ecb18b019a1a58d), [GitHub Security Advisories](https://github.com/tensorflow/tensorflow/security/advisories/GHSA-fqm2-gh8w-gr68).
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