Vulnerability Description
TensorFlow is an open source platform for machine learning. If `LRNGrad` is given an `output_image` input tensor that is not 4-D, it results in a `CHECK` fail that can be used to trigger a denial of service attack. We have patched the issue in GitHub commit bd90b3efab4ec958b228cd7cfe9125be1c0cf255. The fix will be included in TensorFlow 2.10.0. We will also cherrypick this commit on TensorFlow 2.9.1, TensorFlow 2.8.1, and TensorFlow 2.7.2, as these are also affected and still in supported range. There are no known workarounds for this issue.
CVSS Score
MEDIUM
Affected Products
| Vendor | Product | Versions |
|---|---|---|
| Tensorflow | < 2.7.2 |
Related Weaknesses (CWE)
References
- https://github.com/tensorflow/tensorflow/commit/bd90b3efab4ec958b228cd7cfe9125bePatchThird Party Advisory
- https://github.com/tensorflow/tensorflow/security/advisories/GHSA-9942-r22v-78cpThird Party Advisory
- https://github.com/tensorflow/tensorflow/commit/bd90b3efab4ec958b228cd7cfe9125bePatchThird Party Advisory
- https://github.com/tensorflow/tensorflow/security/advisories/GHSA-9942-r22v-78cpThird Party Advisory
FAQ
What is CVE-2022-35985?
CVE-2022-35985 is a vulnerability with a CVSS score of 5.9 (MEDIUM). TensorFlow is an open source platform for machine learning. If `LRNGrad` is given an `output_image` input tensor that is not 4-D, it results in a `CHECK` fail that can be used to trigger a denial of s...
How severe is CVE-2022-35985?
CVE-2022-35985 has been rated MEDIUM with a CVSS base score of 5.9/10. Review the CVSS metrics above for detailed severity breakdown.
Is there a patch for CVE-2022-35985?
Check the references section above for vendor advisories and patch information. Affected products include: Google Tensorflow.