CVE-2020-13092: scikit-learn Deserialization of Untrusted Data
9.8
CVSS Score
3.1
Basic Information
CVE ID
GHSA ID
EPSS Score
0.74854%
CWE
Published
5/24/2022
Updated
10/22/2024
KEV Status
No
Technology
Python
Technical Details
CVSS Vector
CVSS:3.1/AV:N/AC:L/PR:N/UI:N/S:U/C:H/I:H/A:H
Package Name | Ecosystem | Vulnerable Versions | First Patched Version |
---|---|---|---|
scikit-learn | pip | <= 0.23.0 |
Vulnerability Intelligence
Miggo AI
Root Cause Analysis
The vulnerability arises from the use of joblib.load()
function, which is part of the joblib
library, not scikit-learn's own code. While scikit-learn (<=0.23.0) recommends using joblib.load()
for model persistence, the function itself resides in the joblib
package. The advisory explicitly notes that the risk stems from improper usage of joblib.load()
on untrusted data, not from a flaw in scikit-learn's implementation. Since the task requires identifying vulnerable functions within the scikit-learn package, and joblib.load()
is external, no scikit-learn-specific functions are directly vulnerable with high confidence.