CVE-2022-23593
Summary
| CVE | CVE-2022-23593 |
|---|---|
| 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 02:00:00 UTC |
| Description | Tensorflow is an Open Source Machine Learning Framework. The `simplifyBroadcast` function in the MLIR-TFRT infrastructure in TensorFlow is vulnerable to a segfault (hence, denial of service), if called with scalar shapes. If all shapes are scalar, then `maxRank` is 0, so we build an empty `SmallVector`. The fix will be included in TensorFlow 2.8.0. This is the only affected version. |
Risk And Classification
Problem Types: CWE-754
NVD Known Affected Configurations (CPE 2.3)
| Type | Vendor | Product | Version | Update | Edition | Language |
|---|---|---|---|---|---|---|
| Application | Tensorflow | All | All | All | All |
References
| Reference | Source | Link | Tags |
|---|---|---|---|
| Segfault in `simplifyBroadcast` (MLIR) · Advisory · tensorflow/tensorflow · GitHub | CONFIRM | github.com | |
| tensorflow/tf_cpurt_symbolic_shape_optimization.cc at 274df9b02330b790aa8de1cee164b70f72b9b244 · tensorflow/tensorflow · GitHub | MISC | github.com | |
| Avoid Segfault for scalar shapes. · tensorflow/tensorflow@35f0fab · 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.