{
  "id": "CVE-2020-13092",
  "sourceIdentifier": "cve@mitre.org",
  "published": "2020-05-15T19:15:12.277",
  "lastModified": "2024-03-21T02:35:08.800",
  "vulnStatus": "Modified",
  "descriptions": [
    {
      "lang": "en",
      "value": "scikit-learn (aka sklearn) through 0.23.0 can unserialize and execute commands from an untrusted file that is passed to the joblib.load() function, if __reduce__ makes an os.system call. NOTE: third parties dispute this issue because the joblib.load() function is documented as unsafe and it is the user's responsibility to use the function in a secure manner"
    },
    {
      "lang": "es",
      "value": "** EN DISPUTA ** scikit-learn (tambi\u00e9n se conoce como sklearn) versiones hasta 0.23.0, puede deserializar y ejecutar comandos desde un archivo no confiable que es pasado hacia la funci\u00f3n joblib.load(), si __reduce__ realiza una llamada os.system. NOTA: terceros disputan este problema porque la funci\u00f3n joblib.load () est\u00e1 documentada como insegura y es responsabilidad del usuario usar la funci\u00f3n de manera segura."
    }
  ],
  "metrics": {
    "cvssMetricV31": [
      {
        "source": "nvd@nist.gov",
        "type": "Primary",
        "cvssData": {
          "version": "3.1",
          "vectorString": "CVSS:3.1/AV:N/AC:L/PR:N/UI:N/S:U/C:H/I:H/A:H",
          "attackVector": "NETWORK",
          "attackComplexity": "LOW",
          "privilegesRequired": "NONE",
          "userInteraction": "NONE",
          "scope": "UNCHANGED",
          "confidentialityImpact": "HIGH",
          "integrityImpact": "HIGH",
          "availabilityImpact": "HIGH",
          "baseScore": 9.8,
          "baseSeverity": "CRITICAL"
        },
        "exploitabilityScore": 3.9,
        "impactScore": 5.9
      }
    ],
    "cvssMetricV2": [
      {
        "source": "nvd@nist.gov",
        "type": "Primary",
        "cvssData": {
          "version": "2.0",
          "vectorString": "AV:N/AC:L/Au:N/C:P/I:P/A:P",
          "accessVector": "NETWORK",
          "accessComplexity": "LOW",
          "authentication": "NONE",
          "confidentialityImpact": "PARTIAL",
          "integrityImpact": "PARTIAL",
          "availabilityImpact": "PARTIAL",
          "baseScore": 7.5
        },
        "baseSeverity": "HIGH",
        "exploitabilityScore": 10.0,
        "impactScore": 6.4,
        "acInsufInfo": false,
        "obtainAllPrivilege": false,
        "obtainUserPrivilege": false,
        "obtainOtherPrivilege": false,
        "userInteractionRequired": false
      }
    ]
  },
  "weaknesses": [
    {
      "source": "nvd@nist.gov",
      "type": "Primary",
      "description": [
        {
          "lang": "en",
          "value": "CWE-502"
        }
      ]
    }
  ],
  "configurations": [
    {
      "nodes": [
        {
          "operator": "OR",
          "negate": false,
          "cpeMatch": [
            {
              "vulnerable": true,
              "criteria": "cpe:2.3:a:scikit-learn:scikit-learn:*:*:*:*:*:*:*:*",
              "versionEndIncluding": "0.23.0",
              "matchCriteriaId": "BFA8D419-E6D7-4DBF-9554-957975CD6101"
            }
          ]
        }
      ]
    }
  ],
  "references": [
    {
      "url": "https://github.com/0FuzzingQ/vuln/blob/master/sklearn%20unserialize.md",
      "source": "cve@mitre.org",
      "tags": [
        "Exploit",
        "Third Party Advisory"
      ]
    },
    {
      "url": "https://scikit-learn.org/stable/modules/model_persistence.html#security-maintainability-limitations",
      "source": "cve@mitre.org",
      "tags": [
        "Third Party Advisory"
      ]
    }
  ]
}