CVE-2022-21736
Summary
| CVE | CVE-2022-21736 |
|---|---|
| State | PUBLIC |
| Assigner | [email protected] |
| Source Priority | CVE Program / NVD first with legacy fallback |
| Published | 2022-02-03 12:15:00 UTC |
| Updated | 2022-02-09 03:19:00 UTC |
| Description | Tensorflow is an Open Source Machine Learning Framework. The implementation of `SparseTensorSliceDataset` has an undefined behavior: under certain condition it can be made to dereference a `nullptr` value. The 3 input arguments to `SparseTensorSliceDataset` represent a sparse tensor. However, there are some preconditions that these arguments must satisfy but these are not validated in the implementation. 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-476
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 |
|---|---|---|---|
| Properly validate sparse tensor in `SparseTensorSliceDataset` · tensorflow/tensorflow@965b97e · GitHub | MISC | github.com | |
| Undefined behavior in `SparseTensorSliceDataset` · Advisory · tensorflow/tensorflow · GitHub | CONFIRM | github.com | |
| tensorflow/sparse_tensor_slice_dataset_op.cc at 5100e359aef5c8021f2e71c7b986420b85ce7b3d · 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.