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Advisory details: gitlab / pypi/scikit-learn/CVE-2020-13092
Advisory ID gitlab/pypi/scikit-learn/CVE-2020-13092
Aliases CVE-2020-13092
GHSA-jjw5-xxj6-pcv5
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 0.0
Risk
Affected and Fixed Packages Package Details
Introduced and Fixed Package Commit Patches Package Commit Patches Details
Weaknesses (3)
No exploits are available.

No EPSS data available for this advisory.

Patch URL
There are no known patches.
Vector: AV:N/AC:L/Au:N/C:P/I:P/A:P Found at https://gitlab.com/gitlab-org/advisories-community/-/blob/main/pypi/scikit-learn/CVE-2020-13092.yml
Exploitability (E) Access Vector (AV) Access Complexity (AC) Authentication (Au) Confidentiality Impact (C) Integrity Impact (I) Availability Impact (A)

high

functional

unproven

proof_of_concept

not_defined

local

adjacent_network

network

high

medium

low

multiple

single

none

none

partial

complete

none

partial

complete

none

partial

complete

Vector: CVSS:3.1/AV:N/AC:L/PR:N/UI:N/S:U/C:H/I:H/A:H Found at https://gitlab.com/gitlab-org/advisories-community/-/blob/main/pypi/scikit-learn/CVE-2020-13092.yml
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.