Vulnerability Description
TensorFlow is an open source platform for machine learning. If `LowerBound` or `UpperBound` is given an empty`sorted_inputs` input, it results in a `nullptr` dereference, leading to a segfault that can be used to trigger a denial of service attack. We have patched the issue in GitHub commit bce3717eaef4f769019fd18e990464ca4a2efeea. 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/bce3717eaef4f769019fd18e990464caPatchThird Party Advisory
- https://github.com/tensorflow/tensorflow/security/advisories/GHSA-qxpx-j395-pw36PatchThird Party Advisory
- https://github.com/tensorflow/tensorflow/commit/bce3717eaef4f769019fd18e990464caPatchThird Party Advisory
- https://github.com/tensorflow/tensorflow/security/advisories/GHSA-qxpx-j395-pw36PatchThird Party Advisory
FAQ
What is CVE-2022-35965?
CVE-2022-35965 is a vulnerability with a CVSS score of 5.9 (MEDIUM). TensorFlow is an open source platform for machine learning. If `LowerBound` or `UpperBound` is given an empty`sorted_inputs` input, it results in a `nullptr` dereference, leading to a segfault that ca...
How severe is CVE-2022-35965?
CVE-2022-35965 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-2022-35965?
Check the references section above for vendor advisories and patch information. Affected products include: Google Tensorflow.