CVE-2020-13092

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 users responsibility to use the function in a secure manner

Weakness

The product deserializes untrusted data without sufficiently ensuring that the resulting data will be valid.

Affected Software

Potential Mitigations

• Make fields transient to protect them from deserialization.
• An attempt to serialize and then deserialize a class containing transient fields will result in NULLs where the transient data should be. This is an excellent way to prevent time, environment-based, or sensitive variables from being carried over and used improperly.

Related Attack Patterns

• https://cwe.mitre.org/data/definitions/586.html

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