CVE-2022-23573
Summary
| CVE | CVE-2022-23573 |
|---|---|
| State | PUBLIC |
| Assigner | [email protected] |
| Source Priority | CVE Program / NVD first with legacy fallback |
| Published | 2022-02-04 23:15:00 UTC |
| Updated | 2022-02-10 15:32:00 UTC |
| 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. |
Risk And Classification
Problem Types: CWE-908
NVD Known Affected Configurations (CPE 2.3)
| Type | Vendor | Product | Version | Update | Edition | Language |
|---|---|---|---|---|---|---|
| Application | Tensorflow | 2.7.0 | All | All | All | |
| Application | Tensorflow | All | All | All | All | |
| Application | Tensorflow | All | All | All | All |
References
| Reference | Source | Link | Tags |
|---|---|---|---|
| Prevent copying uninitialized data in `AssignOp`. · tensorflow/tensorflow@ef1d027 · GitHub | MISC | github.com | |
| Unitialized variable access in `AssignOp` · Advisory · tensorflow/tensorflow · GitHub | CONFIRM | github.com | |
| tensorflow/assign_op.h at a1320ec1eac186da1d03f033109191f715b2b130 · tensorflow/tensorflow · GitHub | MISC | github.com | |
| CVE Program record | CVE.ORG | www.cve.org | canonical |
| NVD vulnerability detail | NVD | nvd.nist.gov | canonical, analysis |
No vendor comments have been submitted for this CVE.
There are currently no legacy QID mappings associated with this CVE.