GHSA-jjw5-xxj6-pcv5
scikit-learn Deserialization of Untrusted Data
Packages
| Ecosystem | Package | Affected | Fixed in |
|---|---|---|---|
| PyPI | scikit-learn | <= 0.23.0 | no fix listed |
Details
As written in the advisory (Markdown source, shown as plain text).
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.
References
External links from the advisory. They lead to third-party sites.
- https://nvd.nist.gov/vuln/detail/CVE-2020-13092
- https://github.com/0FuzzingQ/vuln/blob/master/sklearn%20unserialize.md
- https://github.com/pypa/advisory-database/tree/main/vulns/scikit-learn/PYSEC-2020-107.yaml
- https://github.com/scikit-learn/scikit-learn
- https://scikit-learn.org/stable/modules/model_persistence.html#security-maintainability-limitations