Vulnerability Description
TensorFlow is an open source machine learning platform. When running versions prior to 2.12.0 and 2.11.1 with XLA, `tf.raw_ops.Bincount` segfaults when given a parameter `weights` that is neither the same shape as parameter `arr` nor a length-0 tensor. A fix is included in TensorFlow 2.12.0 and 2.11.1.
CVSS Score
HIGH
Affected Products
| Vendor | Product | Versions |
|---|---|---|
| Tensorflow | < 2.12.0 |
Related Weaknesses (CWE)
References
- https://github.com/tensorflow/tensorflow/commit/8ae76cf085f4be26295d2ecf2081e759Patch
- https://github.com/tensorflow/tensorflow/security/advisories/GHSA-7x4v-9gxg-9hwjPatchVendor Advisory
- https://github.com/tensorflow/tensorflow/commit/8ae76cf085f4be26295d2ecf2081e759Patch
- https://github.com/tensorflow/tensorflow/security/advisories/GHSA-7x4v-9gxg-9hwjPatchVendor Advisory
FAQ
What is CVE-2023-25675?
CVE-2023-25675 is a vulnerability with a CVSS score of 7.5 (HIGH). TensorFlow is an open source machine learning platform. When running versions prior to 2.12.0 and 2.11.1 with XLA, `tf.raw_ops.Bincount` segfaults when given a parameter `weights` that is neither the ...
How severe is CVE-2023-25675?
CVE-2023-25675 has been rated HIGH with a CVSS base score of 7.5/10. Review the CVSS metrics above for detailed severity breakdown.
Is there a patch for CVE-2023-25675?
Check the references section above for vendor advisories and patch information. Affected products include: Google Tensorflow.