Vulnerability Description
TensorFlow is an open source platform for machine learning. If `QuantizedAdd` is given `min_input` or `max_input` tensors of a nonzero rank, it results in a segfault that can be used to trigger a denial of service attack. We have patched the issue in GitHub commit 49b3824d83af706df0ad07e4e677d88659756d89. 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/49b3824d83af706df0ad07e4e677d886PatchThird Party Advisory
- https://github.com/tensorflow/tensorflow/security/advisories/GHSA-v6h3-348g-6h5xPatchThird Party Advisory
- https://github.com/tensorflow/tensorflow/commit/49b3824d83af706df0ad07e4e677d886PatchThird Party Advisory
- https://github.com/tensorflow/tensorflow/security/advisories/GHSA-v6h3-348g-6h5xPatchThird Party Advisory
FAQ
What is CVE-2022-35967?
CVE-2022-35967 is a vulnerability with a CVSS score of 5.9 (MEDIUM). TensorFlow is an open source platform for machine learning. If `QuantizedAdd` is given `min_input` or `max_input` tensors of a nonzero rank, it results in a segfault that can be used to trigger a deni...
How severe is CVE-2022-35967?
CVE-2022-35967 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-2022-35967?
Check the references section above for vendor advisories and patch information. Affected products include: Google Tensorflow.