CVE-2022-41887
Summary
| CVE | CVE-2022-41887 |
|---|---|
| State | PUBLIC |
| Assigner | [email protected] |
| Source Priority | CVE Program / NVD first with legacy fallback |
| Published | 2022-11-18 22:15:00 UTC |
| Updated | 2022-11-22 21:55:00 UTC |
| Description | TensorFlow is an open source platform for machine learning. `tf.keras.losses.poisson` receives a `y_pred` and `y_true` that are passed through `functor::mul` in `BinaryOp`. If the resulting dimensions overflow an `int32`, TensorFlow will crash due to a size mismatch during broadcast assignment. We have patched the issue in GitHub commit c5b30379ba87cbe774b08ac50c1f6d36df4ebb7c. The fix will be included in TensorFlow 2.11. We will also cherrypick this commit on TensorFlow 2.10.1 and 2.9.3, as these are also affected and still in supported range. However, we will not cherrypick this commit into TensorFlow 2.8.x, as it depends on Eigen behavior that changed between 2.8 and 2.9. |
Risk And Classification
Problem Types: CWE-131
NVD Known Affected Configurations (CPE 2.3)
| Type | Vendor | Product | Version | Update | Edition | Language |
|---|---|---|---|---|---|---|
| Application | Tensorflow | All | All | All | All | |
| Application | Tensorflow | 2.10.0 | All | All | All |
References
| Reference | Source | Link | Tags |
|---|---|---|---|
| Overflow in `tf.keras.losses.poisson` · Advisory · tensorflow/tensorflow · GitHub | CONFIRM | github.com | |
| tensorflow/losses.py at master · tensorflow/tensorflow · GitHub | MISC | github.com | |
| Fix cwise dimension overflow issue again. · tensorflow/tensorflow@c5b3037 · GitHub | MISC | github.com | |
| tensorflow/cwise_ops_common.h at master · 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.