CVE-2022-23594
Summary
| CVE | CVE-2022-23594 |
|---|---|
| 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 18:15:00 UTC |
| Description | Tensorflow is an Open Source Machine Learning Framework. The TFG dialect of TensorFlow (MLIR) makes several assumptions about the incoming `GraphDef` before converting it to the MLIR-based dialect. If an attacker changes the `SavedModel` format on disk to invalidate these assumptions and the `GraphDef` is then converted to MLIR-based IR then they can cause a crash in the Python interpreter. Under certain scenarios, heap OOB read/writes are possible. These issues have been discovered via fuzzing and it is possible that more weaknesses exist. We will patch them as they are discovered. |
Risk And Classification
Problem Types: CWE-125 | CWE-787
NVD Known Affected Configurations (CPE 2.3)
| Type | Vendor | Product | Version | Update | Edition | Language |
|---|---|---|---|---|---|---|
| Application | Tensorflow | 2.7.0 | All | All | All |
References
| Reference | Source | Link | Tags |
|---|---|---|---|
| tensorflow/tensorflow/core/ir/importexport at 274df9b02330b790aa8de1cee164b70f72b9b244 · tensorflow/tensorflow · GitHub | MISC | github.com | |
| Multiple crashes, heap OOB accesses in TFG dialect (MLIR) · Advisory · tensorflow/tensorflow · GitHub | CONFIRM | 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.