Vulnerability Description
TensorFlow is an open source platform for machine learning. The implementation of `Conv2DBackpropInput` requires `input_sizes` to be 4-dimensional. Otherwise, it gives a `CHECK` failure which can be used to trigger a denial of service attack. We have patched the issue in GitHub commit 50156d547b9a1da0144d7babe665cf690305b33c. 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 | >= 2.7.0, < 2.7.2 |
Related Weaknesses (CWE)
References
- https://github.com/tensorflow/tensorflow/commit/50156d547b9a1da0144d7babe665cf69PatchThird Party Advisory
- https://github.com/tensorflow/tensorflow/security/advisories/GHSA-q2c3-jpmc-gfjxPatchThird Party Advisory
- https://github.com/tensorflow/tensorflow/commit/50156d547b9a1da0144d7babe665cf69PatchThird Party Advisory
- https://github.com/tensorflow/tensorflow/security/advisories/GHSA-q2c3-jpmc-gfjxPatchThird Party Advisory
FAQ
What is CVE-2022-35969?
CVE-2022-35969 is a vulnerability with a CVSS score of 5.9 (MEDIUM). TensorFlow is an open source platform for machine learning. The implementation of `Conv2DBackpropInput` requires `input_sizes` to be 4-dimensional. Otherwise, it gives a `CHECK` failure which can be u...
How severe is CVE-2022-35969?
CVE-2022-35969 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-2022-35969?
Check the references section above for vendor advisories and patch information. Affected products include: Google Tensorflow.