CVE-2020-13092
Summary
| CVE | CVE-2020-13092 |
|---|---|
| State | PUBLIC |
| Assigner | [email protected] |
| Source Priority | CVE Program / NVD first with legacy fallback |
| Published | 2020-05-15 19:15:00 UTC |
| Updated | 2023-11-07 03:16:00 UTC |
| Description | ** DISPUTED ** scikit-learn (aka sklearn) through 0.23.0 can unserialize and execute commands from an untrusted file that is passed to the joblib.load() function, if __reduce__ makes an os.system call. NOTE: third parties dispute this issue because the joblib.load() function is documented as unsafe and it is the user's responsibility to use the function in a secure manner. |
Risk And Classification
Problem Types: CWE-502
NVD Known Affected Configurations (CPE 2.3)
| Type | Vendor | Product | Version | Update | Edition | Language |
|---|---|---|---|---|---|---|
| Application | Scikit-learn | Scikit-learn | All | All | All | All |
References
| Reference | Source | Link | Tags |
|---|---|---|---|
| 3.6. Model persistence — scikit-learn 0.15.2 documentation | MISC | scikit-learn.org | Third Party Advisory |
| Page not found · GitHub · GitHub | MISC | github.com | Exploit, Third Party Advisory |
| 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.