Skip to main content
Public proof of conceptFix available

CVE-2020-28975

A public proof of concept exists; no exploitation attested.

  • Published2020-11-21
  • Fixed in1.0.1 · 0.24.dev0

Am I affected?

With a domain, we read the version its public headers and pages expose. A distribution build can carry the fix under an older number.

Description

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.

Timeline

dates in UTC
  1. 2020-11-2121:15CVE publishedNVD

Versions per branch

NVD · OSV
Scikit-learn
BranchAffectedFixed in
1.0≥ 0.23.2, < 1.0.11.0.1
0.24< 0.24.dev00.24.dev0

as publishedRanges as NVD and OSV publish them; a distribution’s build can be fixed under an older number.

Distribution builds and vendor advisories

Packages from OSV.dev and products from the vendors' CSAF advisories.

version not verifiedVersions not verified: read as OSV.dev and the vendors publish them, not checked against each vendor's release list.

Packages

  • python-scikit-learnopenSUSE:Tumbleweedall versions · fixed in 1.6.1-1.1

Full record on NVD

Fix

  1. Update Scikit-learn to 1.0.1 · 0.24.dev0

Advisories and patches

Detection

Nuclei template
none so far
ProjectDiscovery
Exploit-DB
no entry
Exploit-DB
Proof of concept
Metasploit modules
none listed
Metasploit Framework

Sources

Identifiers

Technical details

CVSS v3 Vector
CVSS:3.1/AV:N/AC:L/PR:N/UI:N/S:U/C:N/I:N/A:H
Published
2020-11-21
Last Modified
2026-06-17
NVD status
Modified
GitHub Advisory
GHSA-jxfp-4rvq-9h9m

Frequently asked questions

What is CVE-2020-28975?

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.

Is CVE-2020-28975 actively exploited?

A proof-of-concept exploit exists for CVE-2020-28975, but active exploitation has not been confirmed at this time.

What is the CVSS score for CVE-2020-28975?

CVE-2020-28975 has a CVSS v3 base score of 7.5 (HIGH severity), with vector string CVSS:3.1/AV:N/AC:L/PR:N/UI:N/S:U/C:N/I:N/A:H.

Running scikit-learn? Hear about its next vulnerability

Surveillance reads the versions in your stack — a domain, a lockfile or a list — checks each CVE against the ranges its sources publish, and alerts you when one you run is exploited or enters CISA KEV. A version it cannot read stays « version not verified ».

Get alerts for this productCISA KEV additions, November 2026Search CVEs

No credit card required · No monthly cap on website lookups · 250 API requests/month

Go further

Related vulnerabilities

Same product first, then the same vendor advisory and the same publication week.

Back to CVE Database

Sources for this record