CVE-2022-23571
Summary
| CVE | CVE-2022-23571 |
|---|---|
| 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 16:08:00 UTC |
| Description | Tensorflow is an Open Source Machine Learning Framework. When decoding a tensor from protobuf, a TensorFlow process can encounter cases where a `CHECK` assertion is invalidated based on user controlled arguments, if the tensors have an invalid `dtype` and 0 elements or an invalid shape. This allows attackers to cause denial of services in TensorFlow processes. 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-617
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 |
|---|---|---|---|
| Validate `proto.dtype()` before calling `set_dtype()`. · tensorflow/tensorflow@5b491cd · GitHub | MISC | github.com | |
| `CHECK`-fail when decoding invalid tensors from proto · 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.