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


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\u0027s position is that the behavior can only occur if the library\u0027s 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"
    }
  ]
}


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