Detections
Analytics

SCA: security update for scikit-learn (GHSA-jxfp-4rvq-9h9m)

high Tenable Self-Hosted Container Security Plugin ID 437119

Description

There are packages installed that are affected by a vulnerability referenced in the following CVE:

 - svm_predict_values in svm.cpp in Libsvm v324, as used in scikit-learn 0.23.2 and other products, allows
 attackers to cause a denial of service (segmentation fault) via a crafted model SVM (introduced via
 pickle, json, or any other model permanence standard) with a large value in the _n_support array. NOTE:
 the scikit-learn vendor's position is that the behavior can only occur if the library's API is violated by
 an application that changes a private attribute. (CVE-2020-28975)

See Also

https://github.com/advisories/GHSA-jxfp-4rvq-9h9m

Plugin Details

Severity: High

ID: 437119

Version: Revision 1.2

Type: Local

Family: SCA Checks

Published: 1/27/2026

Updated: 7/2/2026

Supported Sensors: Tenable Cloud Security, Tenable Self-Hosted Container Security

Risk Information

VPR

Risk Factor: Low

Score: 3

Percentile: 23.51

Vendor

Vendor Severity: High

CVSS v2

Risk Factor: Medium

Base Score: 5

Temporal Score: 3.9

Vector: CVSS2#AV:N/AC:L/Au:N/C:N/I:N/A:P

CVSS Score Source: CVE-2020-28975

CVSS v3

Risk Factor: High

Base Score: 7.5

Temporal Score: 6.7

Vector: CVSS:3.0/AV:N/AC:L/PR:N/UI:N/S:U/C:N/I:N/A:H

Temporal Vector: CVSS:3.0/E:P/RL:O/RC:C

Vulnerability Information

Exploit Available: true

Exploit Ease: Exploits are available

Patch Publication Date: 5/24/2022

Vulnerability Publication Date: 11/21/2020

Reference Information

CVE: CVE-2020-28975