CVE-2022-35993
Summary
| CVE | CVE-2022-35993 |
|---|---|
| State | PUBLIC |
| Assigner | [email protected] |
| Source Priority | CVE Program / NVD first with legacy fallback |
| Published | 2022-09-16 23:15:00 UTC |
| Updated | 2022-09-20 14:50:00 UTC |
| Description | TensorFlow is an open source platform for machine learning. When `SetSize` receives an input `set_shape` that is not a 1D tensor, it gives a `CHECK` fails that can be used to trigger a denial of service attack. We have patched the issue in GitHub commit cf70b79d2662c0d3c6af74583641e345fc939467. The fix will be included in TensorFlow 2.10.0. We will also cherrypick this commit on TensorFlow 2.9.1, TensorFlow 2.8.1, and TensorFlow 2.7.2, as these are also affected and still in supported range. There are no known workarounds for this issue. |
Risk And Classification
Problem Types: CWE-617
NVD Known Affected Configurations (CPE 2.3)
| Type | Vendor | Product | Version | Update | Edition | Language |
|---|---|---|---|---|---|---|
| Application | Tensorflow | All | All | All | All | |
| Application | Tensorflow | 2.10 | rc0 | All | All | |
| Application | Tensorflow | 2.10 | rc1 | All | All | |
| Application | Tensorflow | 2.10 | rc2 | All | All | |
| Application | Tensorflow | 2.10 | rc3 | All | All |
References
| Reference | Source | Link | Tags |
|---|---|---|---|
| Fix tf.raw_ops.SetSize vulnerability with invalid input arg specifyin… · tensorflow/tensorflow@cf70b79 · GitHub | MISC | github.com | |
| `CHECK` fail in `SetSize` · 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.