Vulnerability Description
TensorFlow is an open source platform for machine learning. When `tf.quantization.fake_quant_with_min_max_vars_per_channel_gradient` receives input `min` or `max` of rank other than 1, it gives a `CHECK` fail that can trigger a denial of service attack. We have patched the issue in GitHub commit f3cf67ac5705f4f04721d15e485e192bb319feed. 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/f3cf67ac5705f4f04721d15e485e192bPatchThird Party Advisory
- https://github.com/tensorflow/tensorflow/security/advisories/GHSA-h7ff-cfc9-wmmhThird Party Advisory
- https://github.com/tensorflow/tensorflow/commit/f3cf67ac5705f4f04721d15e485e192bPatchThird Party Advisory
- https://github.com/tensorflow/tensorflow/security/advisories/GHSA-h7ff-cfc9-wmmhThird Party Advisory
FAQ
What is CVE-2022-35990?
CVE-2022-35990 is a vulnerability with a CVSS score of 5.9 (MEDIUM). TensorFlow is an open source platform for machine learning. When `tf.quantization.fake_quant_with_min_max_vars_per_channel_gradient` receives input `min` or `max` of rank other than 1, it gives a `CHE...
How severe is CVE-2022-35990?
CVE-2022-35990 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-2022-35990?
Check the references section above for vendor advisories and patch information. Affected products include: Google Tensorflow.