ghsa-jxfp-4rvq-9h9m
Vulnerability from github
Published
2022-05-24 17:34
Modified
2024-10-23 18:41
Severity ?
7.5 (High) - CVSS:3.1/AV:N/AC:L/PR:N/UI:N/S:U/C:N/I:N/A:H
Summary
scikit-learn Denial of Service
Details

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.

Show details on source website

To clipboard 

{
   affected: [
      {
         package: {
            ecosystem: "PyPI",
            name: "scikit-learn",
         },
         ranges: [
            {
               events: [
                  {
                     introduced: "0.23.2",
                  },
                  {
                     fixed: "1.0.1",
                  },
               ],
               type: "ECOSYSTEM",
            },
         ],
      },
   ],
   aliases: [
      "CVE-2020-28975",
   ],
   database_specific: {
      cwe_ids: [],
      github_reviewed: true,
      github_reviewed_at: "2024-02-01T20:59:15Z",
      nvd_published_at: "2020-11-21T21:15:00Z",
      severity: "HIGH",
   },
   details: "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.\nNOTE: 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.",
   id: "GHSA-jxfp-4rvq-9h9m",
   modified: "2024-10-23T18:41:25Z",
   published: "2022-05-24T17:34:40Z",
   references: [
      {
         type: "ADVISORY",
         url: "https://nvd.nist.gov/vuln/detail/CVE-2020-28975",
      },
      {
         type: "WEB",
         url: "https://github.com/scikit-learn/scikit-learn/issues/18891",
      },
      {
         type: "WEB",
         url: "https://github.com/scikit-learn/scikit-learn/commit/1bf13d567d3cd74854aa8343fd25b61dd768bb85",
      },
      {
         type: "WEB",
         url: "https://github.com/cjlin1/libsvm/blob/9a3a9708926dec87d382c43b203f2ca19c2d56a0/svm.cpp#L2501",
      },
      {
         type: "WEB",
         url: "https://github.com/pypa/advisory-database/tree/main/vulns/scikit-learn/PYSEC-2020-108.yaml",
      },
      {
         type: "PACKAGE",
         url: "https://github.com/scikit-learn/scikit-learn",
      },
      {
         type: "WEB",
         url: "https://security.gentoo.org/glsa/202301-03",
      },
      {
         type: "WEB",
         url: "http://packetstormsecurity.com/files/160281/SciKit-Learn-0.23.2-Denial-Of-Service.html",
      },
      {
         type: "WEB",
         url: "http://seclists.org/fulldisclosure/2020/Nov/44",
      },
   ],
   schema_version: "1.4.0",
   severity: [
      {
         score: "CVSS:3.1/AV:N/AC:L/PR:N/UI:N/S:U/C:N/I:N/A:H",
         type: "CVSS_V3",
      },
   ],
   summary: "scikit-learn Denial of Service",
}


Log in or create an account to share your comment.

Security Advisory comment format.

This schema specifies the format of a comment related to a security advisory.

UUIDv4 of the comment
UUIDv4 of the Vulnerability-Lookup instance
When the comment was created originally
When the comment was last updated
Title of the comment
Description of the comment
The identifier of the vulnerability (CVE ID, GHSA-ID, PYSEC ID, etc.).



Tags
Taxonomy of the tags.




Sightings

Author Source Type Date

Nomenclature

  • Seen: The vulnerability was mentioned, discussed, or seen somewhere by the user.
  • Confirmed: The vulnerability is confirmed from an analyst perspective.
  • Exploited: This vulnerability was exploited and seen by the user reporting the sighting.
  • Patched: This vulnerability was successfully patched by the user reporting the sighting.
  • Not exploited: This vulnerability was not exploited or seen by the user reporting the sighting.
  • Not confirmed: The user expresses doubt about the veracity of the vulnerability.
  • Not patched: This vulnerability was not successfully patched by the user reporting the sighting.