Vulnerabilities > CVE-2020-13092 - Deserialization of Untrusted Data vulnerability in Scikit-Learn
Attack vector
NETWORK Attack complexity
LOW Privileges required
NONE Confidentiality impact
HIGH Integrity impact
HIGH Availability impact
HIGH Summary
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
Vulnerable Configurations
| Part | Description | Count |
|---|---|---|
| Application | 8 |
Common Weakness Enumeration (CWE)
References
- https://github.com/0FuzzingQ/vuln/blob/master/sklearn%20unserialize.md
- https://scikit-learn.org/stable/modules/model_persistence.html#security-maintainability-limitations
- https://github.com/0FuzzingQ/vuln/blob/master/sklearn%20unserialize.md
- https://scikit-learn.org/stable/modules/model_persistence.html#security-maintainability-limitations