What is CVE-2020-13092?

CVE-2020-13092 is a critical-severity vulnerability in Scikit-Learn, classified under Deserialization of Untrusted Data. CVSS score: 9.8/10. Published 2020-05-15.

How severe is CVE-2020-13092?

Critical severity. CVSS v3 base score is 9.8 out of 10.

Deserialization in Scikit-Learn

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 user's responsibility to use the function in a secure manner

Vulnerability class: Insecure Deserialization

Published 2020-05-15 · last modified 2026-06-17.

CVSS v3 metric

CVSS v3 base score 9.8 (Critical). Vector: CVSS:3.1/AV:N/AC:L/PR:N/UI:N/S:U/C:H/I:H/A:H.

EPSS exploit prediction

EPSS: 0.034 (88.7th percentile), scored 2026-10-20.

Low probability of exploitation in the next 30 days, but still tracked. 89th percentile — 88.7% of CVEs in the catalogue have a lower EPSS than this one. How to read EPSS.

EPSS over last 30 days · oldest: 0.027 · newest: 0.034 · change: +0.007

Affected products

Scikit-Learn

Weakness classification (CWE)

CWE-502 — Deserialization of Untrusted Data

References

github.com/0FuzzingQ/vuln/blob/master/sklearn unserialize.md (Exploit, Third Party Advisory)
scikit-learn.org/stable/modules/model_persistence.html (Third Party Advisory)

Frequently asked questions

What is CVE-2020-13092?: CVE-2020-13092 is a critical-severity vulnerability in Scikit-Learn, classified under Deserialization of Untrusted Data. CVSS score: 9.8/10. Published 2020-05-15.
How severe is CVE-2020-13092?: Critical severity. CVSS v3 base score is 9.8 out of 10.