Vulnerability Description
TensorFlow is an open source platform for machine learning. In affected versions the implementation of `SparseBinCount` is vulnerable to a heap OOB access. This is because of missing validation between the elements of the `values` argument and the shape of the sparse output. The fix will be included in TensorFlow 2.7.0. We will also cherrypick this commit on TensorFlow 2.6.1, TensorFlow 2.5.2, and TensorFlow 2.4.4, as these are also affected and still in supported range.
CVSS Score
HIGH
Affected Products
| Vendor | Product | Versions |
|---|---|---|
| Tensorflow | < 2.4.4 |
Related Weaknesses (CWE)
References
- https://github.com/tensorflow/tensorflow/commit/f410212e373eb2aec4c9e60bf3702ebaPatchThird Party Advisory
- https://github.com/tensorflow/tensorflow/security/advisories/GHSA-374m-jm66-3vj8ExploitPatchThird Party Advisory
- https://github.com/tensorflow/tensorflow/commit/f410212e373eb2aec4c9e60bf3702ebaPatchThird Party Advisory
- https://github.com/tensorflow/tensorflow/security/advisories/GHSA-374m-jm66-3vj8ExploitPatchThird Party Advisory
FAQ
What is CVE-2021-41226?
CVE-2021-41226 is a vulnerability with a CVSS score of 7.1 (HIGH). TensorFlow is an open source platform for machine learning. In affected versions the implementation of `SparseBinCount` is vulnerable to a heap OOB access. This is because of missing validation betwee...
How severe is CVE-2021-41226?
CVE-2021-41226 has been rated HIGH with a CVSS base score of 7.1/10. Review the CVSS metrics above for detailed severity breakdown.
Is there a patch for CVE-2021-41226?
Check the references section above for vendor advisories and patch information. Affected products include: Google Tensorflow.