scikit-learn Deserialization of Untrusted Data
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.
01
beschreibt (1)
Zugehörige CVEs.
| ID | Schweregrad | ausnutzbar | ||
|---|---|---|---|---|
| CVE-2020-13092US | critical9.8 | — | ||
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… | ||||
02
Referenzen
Externe Belege — Patches, Meldungen, Analysen.
- https://github.com/0FuzzingQ/vuln/blob/master/sklearn%20unserialize.mdWEB
- https://github.com/pypa/advisory-database/tree/main/vulns/scikit-learn/PYSEC-2020-107.yamlWEB
- https://github.com/scikit-learn/scikit-learnPACKAGE
- https://nvd.nist.gov/vuln/detail/CVE-2020-13092ADVISORY
- https://scikit-learn.org/stable/modules/model_persistence.html#security-maintainability-limitationsWEB
scry
Advisories wie diese benennen die exponierten Produkte, die Angreifer auf Ihrer Angriffsfläche ins Visier nehmen. Sehen Sie mit einem kostenlosen Passiv-Scan, was exponiert ist.
Kostenloser Scan