First published: Tue Jul 30 2024(Updated: )
### Impact `array_ops.upper_bound` causes a segfault when not given a rank 2 tensor. ### Patches We have patched the issue in GitHub commit [915884fdf5df34aaedd00fc6ace33a2cfdefa586](https://github.com/tensorflow/tensorflow/commit/915884fdf5df34aaedd00fc6ace33a2cfdefa586). The fix will be included in TensorFlow 2.13. We will also cherrypick this commit in TensorFlow 2.12.1. ### For more information Please consult [our security guide](https://github.com/tensorflow/tensorflow/blob/master/SECURITY.md) for more information regarding the security model and how to contact us with issues and questions. ### Attribution This vulnerability has been reported by dmc1778
Credit: security-advisories@github.com security-advisories@github.com
Affected Software | Affected Version | How to fix |
---|---|---|
pip/tensorflow-gpu | <2.12.1 | 2.12.1 |
pip/tensorflow-cpu | <2.12.1 | 2.12.1 |
pip/tensorflow | <2.12.1 | 2.12.1 |
TensorFlow Keras | <2.13.0 |
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CVE-2023-33976 has a moderate severity rating due to the potential for causing a segmentation fault.
To fix CVE-2023-33976, update to TensorFlow version 2.12.1 or later.
CVE-2023-33976 affects TensorFlow versions prior to 2.13.0 for tensorflow-gpu, tensorflow-cpu, and tensorFlow packages.
CVE-2023-33976 addresses a segmentation fault occurring when `array_ops.upper_bound` is called with a tensor that is not rank 2.
Yes, a patch for CVE-2023-33976 has been released in GitHub commit 915884fdf5df34aaedd00fc6ace33a2cfdefa586.