Staging Environment: Content and features may be unstable or change without notice.
Advisory details: github_osv / GHSA-jjw5-xxj6-pcv5
Advisory ID github_osv/GHSA-jjw5-xxj6-pcv5
Aliases CVE-2020-13092
Summary 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.
Status Published
Exploitability 0.5
Weighted Severity 8.8
Risk 4.4
Affected and Fixed Packages Package Details
Introduced and Fixed Package Commit Patches Package Commit Patches Details
Weaknesses (1)
CWE-502 Deserialization of Untrusted Data
System Score Found at
cvssv3.1 9.8 https://github.com/github/advisory-database/blob/main/advisories/github-reviewed/2022/05/GHSA-jjw5-xxj6-pcv5/GHSA-jjw5-xxj6-pcv5.json
generic_textual CRITICAL
Reference id Reference type URL
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
CVE-2020-13092 https://nvd.nist.gov/vuln/detail/CVE-2020-13092
No exploits are available.

No EPSS data available for this advisory.

Patch URL
There are no known patches.
Vector: CVSS:3.1/AV:N/AC:L/PR:N/UI:N/S:U/C:H/I:H/A:H Found at https://github.com/github/advisory-database/blob/main/advisories/github-reviewed/2022/05/GHSA-jjw5-xxj6-pcv5/GHSA-jjw5-xxj6-pcv5.json
Attack Vector (AV) Attack Complexity (AC) Privileges Required (PR) User Interaction (UI) Scope (S) Confidentiality Impact (C) Integrity Impact (I) Availability Impact (A)

network

adjacent_network

local

physical

low

high

none

low

high

none

required

unchanged

changed

high

low

none

high

low

none

high

low

none

There are no SSVC decisions available.