Vulnerability Description
TensorFlow is an open source platform for machine learning. In affected versions the shape inference function for `Transpose` is vulnerable to a heap buffer overflow. This occurs whenever `perm` contains negative elements. The shape inference function does not validate that the indices in `perm` are all valid. 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
MEDIUM
Affected Products
| Vendor | Product | Versions |
|---|---|---|
| Tensorflow | >= 2.4.0, < 2.4.4 |
Related Weaknesses (CWE)
References
- https://github.com/tensorflow/tensorflow/commit/c79ba87153ee343401dbe9d1954d7f79PatchThird Party Advisory
- https://github.com/tensorflow/tensorflow/security/advisories/GHSA-3ff2-r28g-w7h9Third Party Advisory
- https://github.com/tensorflow/tensorflow/commit/c79ba87153ee343401dbe9d1954d7f79PatchThird Party Advisory
- https://github.com/tensorflow/tensorflow/security/advisories/GHSA-3ff2-r28g-w7h9Third Party Advisory
FAQ
What is CVE-2021-41216?
CVE-2021-41216 is a vulnerability with a CVSS score of 5.5 (MEDIUM). TensorFlow is an open source platform for machine learning. In affected versions the shape inference function for `Transpose` is vulnerable to a heap buffer overflow. This occurs whenever `perm` conta...
How severe is CVE-2021-41216?
CVE-2021-41216 has been rated MEDIUM with a CVSS base score of 5.5/10. Review the CVSS metrics above for detailed severity breakdown.
Is there a patch for CVE-2021-41216?
Check the references section above for vendor advisories and patch information. Affected products include: Google Tensorflow.