First published: Fri Mar 24 2023(Updated: )
TensorFlow is an open source platform for machine learning. Attackers using Tensorflow prior to 2.12.0 or 2.11.1 can access heap memory which is not in the control of user, leading to a crash or remote code execution. The fix will be included in TensorFlow version 2.12.0 and will also cherrypick this commit on TensorFlow 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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CVE-2023-25668 is a vulnerability in TensorFlow, an open source platform for machine learning, that allows attackers to access heap memory not controlled by users, leading to a crash or remote code execution.
CVE-2023-25668 has a severity of 9.8 (critical).
CVE-2023-25668 allows attackers using Tensorflow prior to version 2.12.0 to access heap memory, potentially resulting in a crash or remote code execution.
To fix CVE-2023-25668, update TensorFlow to version 2.12.0 or later.
Yes, you can find more information about CVE-2023-25668 at the following references: [Reference 1](https://github.com/tensorflow/tensorflow/commit/7b174a0f2e40ff3f3aa957aecddfd5aaae35eccb) and [Reference 2](https://github.com/tensorflow/tensorflow/security/advisories/GHSA-gw97-ff7c-9v96).