CVE-2022-23587
Summary
| CVE | CVE-2022-23587 |
|---|---|
| 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 17:38:00 UTC |
| Description | Tensorflow is an Open Source Machine Learning Framework. Under certain scenarios, Grappler component of TensorFlow is vulnerable to an integer overflow during cost estimation for crop and resize. Since the cropping parameters are user controlled, a malicious person can trigger undefined behavior. 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-190
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 |
|---|---|---|---|
| Integer overflow in Grappler cost estimation of crop and resize operation · Advisory · tensorflow/tensorflow · GitHub | CONFIRM | github.com | |
| tensorflow/op_level_cost_estimator.cc at a1320ec1eac186da1d03f033109191f715b2b130 · tensorflow/tensorflow · GitHub | MISC | github.com | |
| Prevent overflow in grappler cost estimation of crop&resize op. · tensorflow/tensorflow@0aaaae6 · 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.