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Case File

CVE-2020-28975

HIGH · CVSS 7.5 EPSS 3.43% Public Exploit

Source: NVD + CISA KEV + EPSS (historical backfill) · Published 2020-11-21 · Last synced 2026-08-04

CyberRota Analysis

This is a high severity vulnerability with a CVSS score of 7.5. Public exploit code or proof-of-concept references have been detected in its references. It may lead to a denial-of-service condition.

Public Exploit Signal

A public exploit, PoC, GitHub repository or Metasploit reference was detected for this CVE.

External Security References

Note: these links are listed for security research and verification purposes only.

CVE
CVE-2020-28975
Severity
HIGH
CVSS
7.5
EPSS
3.43%

Original NVD 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.

Related CVEs

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