GHSA-gjh7-xx4r-x345
TensorFlow has segfault in array_ops.upper_bound
Packages
| Ecosystem | Package | Affected | Fixed in |
|---|---|---|---|
| PyPI | tensorflow | < 2.12.1 | 2.12.1 |
| PyPI | tensorflow-cpu | < 2.12.1 | 2.12.1 |
| PyPI | tensorflow-gpu | < 2.12.1 | 2.12.1 |
Details
As written in the advisory (Markdown source, shown as plain text).
### 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
References
External links from the advisory. They lead to third-party sites.
- https://github.com/tensorflow/tensorflow/security/advisories/GHSA-gjh7-xx4r-x345
- https://nvd.nist.gov/vuln/detail/CVE-2023-33976
- https://github.com/tensorflow/tensorflow/commit/6fa05df43b00038b048f4f0e51ef522da6532fec
- https://github.com/tensorflow/tensorflow/commit/915884fdf5df34aaedd00fc6ace33a2cfdefa586
- https://github.com/tensorflow/tensorflow