pysec - pysec-2020-108

pysec-2020-108

Vulnerability from pysec

Published

2020-11-21 21:15

Modified

2020-12-03 18:50

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.

Impacted products

Name	purl
scikit-learn	pkg:pypi/scikit-learn

Aliases

CVE-2020-28975

JSON

To clipboard

{
   affected: [
      {
         package: {
            ecosystem: "PyPI",
            name: "scikit-learn",
            purl: "pkg:pypi/scikit-learn",
         },
         ranges: [
            {
               events: [
                  {
                     introduced: "0",
                  },
                  {
                     fixed: "0.24.dev0",
                  },
               ],
               type: "ECOSYSTEM",
            },
         ],
         versions: [
            "0.9",
            "0.10",
            "0.11",
            "0.12",
            "0.12.1",
            "0.13",
            "0.13.1",
            "0.14a1",
            "0.14",
            "0.14.1",
            "0.15.0b1",
            "0.15.0b2",
            "0.15.0",
            "0.15.1",
            "0.15.2",
            "0.16b1",
            "0.16.0",
            "0.16.1",
            "0.17b1",
            "0.17",
            "0.17.1",
            "0.18rc2",
            "0.18",
            "0.18.1",
            "0.18.2",
            "0.19b2",
            "0.19.0",
            "0.19.1",
            "0.19.2",
            "0.20rc1",
            "0.20.0",
            "0.20.1",
            "0.20.2",
            "0.20.3",
            "0.20.4",
            "0.21rc2",
            "0.21.0",
            "0.21.1",
            "0.21.2",
            "0.21.3",
            "0.22rc2.post1",
            "0.22rc3",
            "0.22",
            "0.22.1",
            "0.22.2",
            "0.22.2.post1",
            "0.23.0rc1",
            "0.23.0",
            "0.23.1",
            "0.23.2",
         ],
      },
   ],
   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: "PYSEC-2020-108",
   modified: "2020-12-03T18:50:00Z",
   published: "2020-11-21T21:15:00Z",
   references: [
      {
         type: "REPORT",
         url: "https://github.com/scikit-learn/scikit-learn/issues/18891",
      },
      {
         type: "WEB",
         url: "https://github.com/cjlin1/libsvm/blob/9a3a9708926dec87d382c43b203f2ca19c2d56a0/svm.cpp#L2501",
      },
      {
         type: "WEB",
         url: "http://seclists.org/fulldisclosure/2020/Nov/44",
      },
      {
         type: "WEB",
         url: "http://packetstormsecurity.com/files/160281/SciKit-Learn-0.23.2-Denial-Of-Service.html",
      },
   ],
}

cve-2020-28975

Vulnerability from cvelistv5

Published

2020-11-21 00:00

Modified

2024-08-04 16:48

Severity ?

Summary

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.

References

▼	URL	Tags
	https://github.com/scikit-learn/scikit-learn/issues/18891
	https://github.com/cjlin1/libsvm/blob/9a3a9708926dec87d382c43b203f2ca19c2d56a0/svm.cpp#L2501
	http://seclists.org/fulldisclosure/2020/Nov/44	mailing-list
	http://packetstormsecurity.com/files/160281/SciKit-Learn-0.23.2-Denial-Of-Service.html
	https://github.com/scikit-learn/scikit-learn/commit/1bf13d567d3cd74854aa8343fd25b61dd768bb85
	https://security.gentoo.org/glsa/202301-03	vendor-advisory

Impacted products

	Vendor	Product	Version
	n/a	n/a	Version: n/a

Show details on NVD website

JSON

To clipboard

{
   containers: {
      adp: [
         {
            metrics: [
               {
                  other: {
                     content: {
                        id: "CVE-2020-28975",
                        options: [
                           {
                              Exploitation: "poc",
                           },
                           {
                              Automatable: "no",
                           },
                           {
                              "Technical Impact": "partial",
                           },
                        ],
                        role: "CISA Coordinator",
                        timestamp: "2024-06-26T20:03:17.341405Z",
                        version: "2.0.3",
                     },
                     type: "ssvc",
                  },
               },
            ],
            providerMetadata: {
               dateUpdated: "2024-06-26T20:03:29.403Z",
               orgId: "134c704f-9b21-4f2e-91b3-4a467353bcc0",
               shortName: "CISA-ADP",
            },
            title: "CISA ADP Vulnrichment",
         },
         {
            providerMetadata: {
               dateUpdated: "2024-08-04T16:48:01.573Z",
               orgId: "af854a3a-2127-422b-91ae-364da2661108",
               shortName: "CVE",
            },
            references: [
               {
                  tags: [
                     "x_transferred",
                  ],
                  url: "https://github.com/scikit-learn/scikit-learn/issues/18891",
               },
               {
                  tags: [
                     "x_transferred",
                  ],
                  url: "https://github.com/cjlin1/libsvm/blob/9a3a9708926dec87d382c43b203f2ca19c2d56a0/svm.cpp#L2501",
               },
               {
                  name: "20201130 scikit-learn 0.23.2 Local Denial of Service",
                  tags: [
                     "mailing-list",
                     "x_transferred",
                  ],
                  url: "http://seclists.org/fulldisclosure/2020/Nov/44",
               },
               {
                  tags: [
                     "x_transferred",
                  ],
                  url: "http://packetstormsecurity.com/files/160281/SciKit-Learn-0.23.2-Denial-Of-Service.html",
               },
               {
                  tags: [
                     "x_transferred",
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                  url: "https://github.com/scikit-learn/scikit-learn/commit/1bf13d567d3cd74854aa8343fd25b61dd768bb85",
               },
               {
                  name: "GLSA-202301-03",
                  tags: [
                     "vendor-advisory",
                     "x_transferred",
                  ],
                  url: "https://security.gentoo.org/glsa/202301-03",
               },
            ],
            title: "CVE Program Container",
         },
      ],
      cna: {
         affected: [
            {
               product: "n/a",
               vendor: "n/a",
               versions: [
                  {
                     status: "affected",
                     version: "n/a",
                  },
               ],
            },
         ],
         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.",
            },
         ],
         problemTypes: [
            {
               descriptions: [
                  {
                     description: "n/a",
                     lang: "en",
                     type: "text",
                  },
               ],
            },
         ],
         providerMetadata: {
            dateUpdated: "2023-01-11T00:00:00",
            orgId: "8254265b-2729-46b6-b9e3-3dfca2d5bfca",
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            },
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            },
            {
               name: "20201130 scikit-learn 0.23.2 Local Denial of Service",
               tags: [
                  "mailing-list",
               ],
               url: "http://seclists.org/fulldisclosure/2020/Nov/44",
            },
            {
               url: "http://packetstormsecurity.com/files/160281/SciKit-Learn-0.23.2-Denial-Of-Service.html",
            },
            {
               url: "https://github.com/scikit-learn/scikit-learn/commit/1bf13d567d3cd74854aa8343fd25b61dd768bb85",
            },
            {
               name: "GLSA-202301-03",
               tags: [
                  "vendor-advisory",
               ],
               url: "https://security.gentoo.org/glsa/202301-03",
            },
         ],
         tags: [
            "disputed",
         ],
      },
   },
   cveMetadata: {
      assignerOrgId: "8254265b-2729-46b6-b9e3-3dfca2d5bfca",
      assignerShortName: "mitre",
      cveId: "CVE-2020-28975",
      datePublished: "2020-11-21T00:00:00",
      dateReserved: "2020-11-21T00:00:00",
      dateUpdated: "2024-08-04T16:48:01.573Z",
      state: "PUBLISHED",
   },
   dataType: "CVE_RECORD",
   dataVersion: "5.1",
}

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.

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