Vulnerability Description
Tensorflow is an Open Source Machine Learning Framework. The implementation of `AssignOp` can result in copying uninitialized data to a new tensor. This later results in undefined behavior. The implementation has a check that the left hand side of the assignment is initialized (to minimize number of allocations), but does not check that the right hand side is also initialized. The fix will be included in TensorFlow 2.8.0. We will also cherrypick this commit on TensorFlow 2.7.1, TensorFlow 2.6.3, and TensorFlow 2.5.3, as these are also affected and still in supported range.
CVSS Score
HIGH
Affected Products
| Vendor | Product | Versions |
|---|---|---|
| Tensorflow | <= 2.5.2 |
Related Weaknesses (CWE)
References
- https://github.com/tensorflow/tensorflow/blob/a1320ec1eac186da1d03f033109191f715ExploitThird Party Advisory
- https://github.com/tensorflow/tensorflow/commit/ef1d027be116f25e25bb94a60da491c2PatchThird Party Advisory
- https://github.com/tensorflow/tensorflow/security/advisories/GHSA-q85f-69q7-55h2PatchThird Party Advisory
- https://github.com/tensorflow/tensorflow/blob/a1320ec1eac186da1d03f033109191f715ExploitThird Party Advisory
- https://github.com/tensorflow/tensorflow/commit/ef1d027be116f25e25bb94a60da491c2PatchThird Party Advisory
- https://github.com/tensorflow/tensorflow/security/advisories/GHSA-q85f-69q7-55h2PatchThird Party Advisory
FAQ
What is CVE-2022-23573?
CVE-2022-23573 is a vulnerability with a CVSS score of 7.6 (HIGH). Tensorflow is an Open Source Machine Learning Framework. The implementation of `AssignOp` can result in copying uninitialized data to a new tensor. This later results in undefined behavior. The implem...
How severe is CVE-2022-23573?
CVE-2022-23573 has been rated HIGH with a CVSS base score of 7.6/10. Review the CVSS metrics above for detailed severity breakdown.
Is there a patch for CVE-2022-23573?
Check the references section above for vendor advisories and patch information. Affected products include: Google Tensorflow.