gsd-2020-28975
Vulnerability from gsd
Modified
2023-12-13 01:22
Details
** DISPUTED ** 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.
Aliases
Aliases
CVE-2020-28975


To clipboard 

{
   GSD: {
      alias: "CVE-2020-28975",
      description: "** DISPUTED ** 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.",
      id: "GSD-2020-28975",
      references: [
         "https://www.suse.com/security/cve/CVE-2020-28975.html",
         "https://packetstormsecurity.com/files/cve/CVE-2020-28975",
      ],
   },
   gsd: {
      metadata: {
         exploitCode: "unknown",
         remediation: "unknown",
         reportConfidence: "confirmed",
         type: "vulnerability",
      },
      osvSchema: {
         aliases: [
            "CVE-2020-28975",
         ],
         details: "** DISPUTED ** 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.",
         id: "GSD-2020-28975",
         modified: "2023-12-13T01:22:01.649341Z",
         schema_version: "1.4.0",
      },
   },
   namespaces: {
      "cve.org": {
         CVE_data_meta: {
            ASSIGNER: "cve@mitre.org",
            ID: "CVE-2020-28975",
            STATE: "PUBLIC",
         },
         affects: {
            vendor: {
               vendor_data: [
                  {
                     product: {
                        product_data: [
                           {
                              product_name: "n/a",
                              version: {
                                 version_data: [
                                    {
                                       version_value: "n/a",
                                    },
                                 ],
                              },
                           },
                        ],
                     },
                     vendor_name: "n/a",
                  },
               ],
            },
         },
         data_format: "MITRE",
         data_type: "CVE",
         data_version: "4.0",
         description: {
            description_data: [
               {
                  lang: "eng",
                  value: "** DISPUTED ** 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.",
               },
            ],
         },
         problemtype: {
            problemtype_data: [
               {
                  description: [
                     {
                        lang: "eng",
                        value: "n/a",
                     },
                  ],
               },
            ],
         },
         references: {
            reference_data: [
               {
                  name: "https://github.com/scikit-learn/scikit-learn/issues/18891",
                  refsource: "MISC",
                  url: "https://github.com/scikit-learn/scikit-learn/issues/18891",
               },
               {
                  name: "https://github.com/cjlin1/libsvm/blob/9a3a9708926dec87d382c43b203f2ca19c2d56a0/svm.cpp#L2501",
                  refsource: "MISC",
                  url: "https://github.com/cjlin1/libsvm/blob/9a3a9708926dec87d382c43b203f2ca19c2d56a0/svm.cpp#L2501",
               },
               {
                  name: "20201130 scikit-learn 0.23.2 Local Denial of Service",
                  refsource: "FULLDISC",
                  url: "http://seclists.org/fulldisclosure/2020/Nov/44",
               },
               {
                  name: "http://packetstormsecurity.com/files/160281/SciKit-Learn-0.23.2-Denial-Of-Service.html",
                  refsource: "MISC",
                  url: "http://packetstormsecurity.com/files/160281/SciKit-Learn-0.23.2-Denial-Of-Service.html",
               },
               {
                  name: "https://github.com/scikit-learn/scikit-learn/commit/1bf13d567d3cd74854aa8343fd25b61dd768bb85",
                  refsource: "MISC",
                  url: "https://github.com/scikit-learn/scikit-learn/commit/1bf13d567d3cd74854aa8343fd25b61dd768bb85",
               },
               {
                  name: "GLSA-202301-03",
                  refsource: "GENTOO",
                  url: "https://security.gentoo.org/glsa/202301-03",
               },
            ],
         },
      },
      "gitlab.com": {
         advisories: [
            {
               affected_range: "==0.23.2",
               affected_versions: "Version 0.23.2",
               cvss_v2: "AV:N/AC:L/Au:N/C:N/I:N/A:P",
               cvss_v3: "CVSS:3.1/AV:N/AC:L/PR:N/UI:N/S:U/C:N/I:N/A:H",
               cwe_ids: [
                  "CWE-1035",
                  "CWE-937",
               ],
               date: "2020-12-03",
               description: "The `svm_predict_values` in `svm.cpp` in Libsvm, as used in scikit-learn 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.",
               fixed_versions: [
                  "0.24.0",
               ],
               identifier: "CVE-2020-28975",
               identifiers: [
                  "CVE-2020-28975",
               ],
               not_impacted: "All versions before 0.23.2, all versions after 0.23.2",
               package_slug: "pypi/scikit-learn",
               pubdate: "2020-11-21",
               solution: "Upgrade to version 0.24.0 or above.",
               title: "Denial of Service",
               urls: [
                  "https://nvd.nist.gov/vuln/detail/CVE-2020-28975",
               ],
               uuid: "c66d424c-6a24-46a3-9146-f8ebe4c7891a",
            },
         ],
      },
      "nvd.nist.gov": {
         cve: {
            configurations: [
               {
                  nodes: [
                     {
                        cpeMatch: [
                           {
                              criteria: "cpe:2.3:a:scikit-learn:scikit-learn:*:*:*:*:*:*:*:*",
                              matchCriteriaId: "4320862C-5961-4410-A723-8AC2475C9C51",
                              versionEndExcluding: "1.0.1",
                              versionStartIncluding: "0.23.2",
                              vulnerable: true,
                           },
                        ],
                        negate: false,
                        operator: "OR",
                     },
                  ],
               },
            ],
            descriptions: [
               {
                  lang: "en",
                  value: "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.",
               },
               {
                  lang: "es",
                  value: "**EN DISPUTA** La función svm_predict_values en el archivo svm.cpp en Libsvm versión v324, como es usado en scikit-learn versiones 0.23.2 y otros productos, permite a atacantes causar una denegación de servicio (fallo de segmentación) por medio de un modelo SVM diseñado (introducido por medio de pickle, json o cualquier otro modelo estándar de permanencia) con un valor grande en la matriz _n_supportNOTA: la posición del proveedor de scikit-learn es que el comportamiento sólo puede ocurrir si la API de la biblioteca es violada por una aplicación que cambia un atributo privado",
               },
            ],
            id: "CVE-2020-28975",
            lastModified: "2024-04-11T01:08:20.780",
            metrics: {
               cvssMetricV2: [
                  {
                     acInsufInfo: false,
                     baseSeverity: "MEDIUM",
                     cvssData: {
                        accessComplexity: "LOW",
                        accessVector: "NETWORK",
                        authentication: "NONE",
                        availabilityImpact: "PARTIAL",
                        baseScore: 5,
                        confidentialityImpact: "NONE",
                        integrityImpact: "NONE",
                        vectorString: "AV:N/AC:L/Au:N/C:N/I:N/A:P",
                        version: "2.0",
                     },
                     exploitabilityScore: 10,
                     impactScore: 2.9,
                     obtainAllPrivilege: false,
                     obtainOtherPrivilege: false,
                     obtainUserPrivilege: false,
                     source: "nvd@nist.gov",
                     type: "Primary",
                     userInteractionRequired: false,
                  },
               ],
               cvssMetricV31: [
                  {
                     cvssData: {
                        attackComplexity: "LOW",
                        attackVector: "NETWORK",
                        availabilityImpact: "HIGH",
                        baseScore: 7.5,
                        baseSeverity: "HIGH",
                        confidentialityImpact: "NONE",
                        integrityImpact: "NONE",
                        privilegesRequired: "NONE",
                        scope: "UNCHANGED",
                        userInteraction: "NONE",
                        vectorString: "CVSS:3.1/AV:N/AC:L/PR:N/UI:N/S:U/C:N/I:N/A:H",
                        version: "3.1",
                     },
                     exploitabilityScore: 3.9,
                     impactScore: 3.6,
                     source: "nvd@nist.gov",
                     type: "Primary",
                  },
               ],
            },
            published: "2020-11-21T21:15:10.680",
            references: [
               {
                  source: "cve@mitre.org",
                  tags: [
                     "Exploit",
                     "Third Party Advisory",
                     "VDB Entry",
                  ],
                  url: "http://packetstormsecurity.com/files/160281/SciKit-Learn-0.23.2-Denial-Of-Service.html",
               },
               {
                  source: "cve@mitre.org",
                  tags: [
                     "Mailing List",
                     "Third Party Advisory",
                  ],
                  url: "http://seclists.org/fulldisclosure/2020/Nov/44",
               },
               {
                  source: "cve@mitre.org",
                  tags: [
                     "Exploit",
                     "Third Party Advisory",
                  ],
                  url: "https://github.com/cjlin1/libsvm/blob/9a3a9708926dec87d382c43b203f2ca19c2d56a0/svm.cpp#L2501",
               },
               {
                  source: "cve@mitre.org",
                  tags: [
                     "Patch",
                     "Third Party Advisory",
                  ],
                  url: "https://github.com/scikit-learn/scikit-learn/commit/1bf13d567d3cd74854aa8343fd25b61dd768bb85",
               },
               {
                  source: "cve@mitre.org",
                  tags: [
                     "Exploit",
                     "Issue Tracking",
                     "Third Party Advisory",
                  ],
                  url: "https://github.com/scikit-learn/scikit-learn/issues/18891",
               },
               {
                  source: "cve@mitre.org",
                  tags: [
                     "Third Party Advisory",
                  ],
                  url: "https://security.gentoo.org/glsa/202301-03",
               },
            ],
            sourceIdentifier: "cve@mitre.org",
            vulnStatus: "Modified",
            weaknesses: [
               {
                  description: [
                     {
                        lang: "en",
                        value: "NVD-CWE-noinfo",
                     },
                  ],
                  source: "nvd@nist.gov",
                  type: "Primary",
               },
            ],
         },
      },
   },
}


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