Vulnerability Description
TensorFlow is an open source platform for machine learning. If `Conv2D` is given empty `input` and the `filter` and `padding` sizes are valid, the output is all-zeros. This causes division-by-zero floating point exceptions that can be used to trigger a denial of service attack. We have patched the issue in GitHub commit 611d80db29dd7b0cfb755772c69d60ae5bca05f9. 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/611d80db29dd7b0cfb755772c69d60aePatchThird Party Advisory
- https://github.com/tensorflow/tensorflow/security/advisories/GHSA-q5jv-m6qw-5g37Third Party Advisory
- https://github.com/tensorflow/tensorflow/commit/611d80db29dd7b0cfb755772c69d60aePatchThird Party Advisory
- https://github.com/tensorflow/tensorflow/security/advisories/GHSA-q5jv-m6qw-5g37Third Party Advisory
FAQ
What is CVE-2022-35996?
CVE-2022-35996 is a vulnerability with a CVSS score of 5.9 (MEDIUM). TensorFlow is an open source platform for machine learning. If `Conv2D` is given empty `input` and the `filter` and `padding` sizes are valid, the output is all-zeros. This causes division-by-zero flo...
How severe is CVE-2022-35996?
CVE-2022-35996 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-2022-35996?
Check the references section above for vendor advisories and patch information. Affected products include: Google Tensorflow.