Vulnerability Description
TensorFlow is an Open Source Machine Learning Framework. In versions prior to 2.11.1 a malicious invalid input crashes a tensorflow model (Check Failed) and can be used to trigger a denial of service attack. A proof of concept can be constructed with the `Convolution3DTranspose` function. This Convolution3DTranspose layer is a very common API in modern neural networks. The ML models containing such vulnerable components could be deployed in ML applications or as cloud services. This failure could be potentially used to trigger a denial of service attack on ML cloud services. An attacker must have privilege to provide input to a `Convolution3DTranspose` call. This issue has been patched and users are advised to upgrade to version 2.11.1. There are no known workarounds for this vulnerability.
CVSS Score
MEDIUM
Affected Products
| Vendor | Product | Versions |
|---|---|---|
| Tensorflow | < 2.11.1 |
Related Weaknesses (CWE)
References
- https://github.com/tensorflow/tensorflow/commit/948fe6369a5711d4b4568ea9bbf6015cPatch
- https://github.com/tensorflow/tensorflow/security/advisories/GHSA-fxgc-95xx-grvqExploitPatchVendor Advisory
- https://github.com/tensorflow/tensorflow/commit/948fe6369a5711d4b4568ea9bbf6015cPatch
- https://github.com/tensorflow/tensorflow/security/advisories/GHSA-fxgc-95xx-grvqExploitPatchVendor Advisory
FAQ
What is CVE-2023-25661?
CVE-2023-25661 is a vulnerability with a CVSS score of 6.5 (MEDIUM). TensorFlow is an Open Source Machine Learning Framework. In versions prior to 2.11.1 a malicious invalid input crashes a tensorflow model (Check Failed) and can be used to trigger a denial of service ...
How severe is CVE-2023-25661?
CVE-2023-25661 has been rated MEDIUM with a CVSS base score of 6.5/10. Review the CVSS metrics above for detailed severity breakdown.
Is there a patch for CVE-2023-25661?
Check the references section above for vendor advisories and patch information. Affected products include: Google Tensorflow.