Vulnerability Description
TensorFlow is an open source platform for machine learning. The implementation of `AvgPool3DGradOp` does not fully validate the input `orig_input_shape`. This results in an overflow that results in a `CHECK` failure which can be used to trigger a denial of service attack. We have patched the issue in GitHub commit 9178ac9d6389bdc54638ab913ea0e419234d14eb. 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/9178ac9d6389bdc54638ab913ea0e419PatchThird Party Advisory
- https://github.com/tensorflow/tensorflow/security/advisories/GHSA-wxjj-cgcx-r3vqPatchThird Party Advisory
- https://github.com/tensorflow/tensorflow/commit/9178ac9d6389bdc54638ab913ea0e419PatchThird Party Advisory
- https://github.com/tensorflow/tensorflow/security/advisories/GHSA-wxjj-cgcx-r3vqPatchThird Party Advisory
FAQ
What is CVE-2022-35959?
CVE-2022-35959 is a vulnerability with a CVSS score of 5.9 (MEDIUM). TensorFlow is an open source platform for machine learning. The implementation of `AvgPool3DGradOp` does not fully validate the input `orig_input_shape`. This results in an overflow that results in a ...
How severe is CVE-2022-35959?
CVE-2022-35959 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-2022-35959?
Check the references section above for vendor advisories and patch information. Affected products include: Google Tensorflow.