CVE-2020-13092

{"id": "CVE-2020-13092", "cveTags": [{"tags": ["disputed"], "sourceIdentifier": "cve@mitre.org"}], "metrics": {"cvssMetricV2": [{"type": "Primary", "source": "nvd@nist.gov", "cvssData": {"version": "2.0", "baseScore": 7.5, "accessVector": "NETWORK", "vectorString": "AV:N/AC:L/Au:N/C:P/I:P/A:P", "authentication": "NONE", "integrityImpact": "PARTIAL", "accessComplexity": "LOW", "availabilityImpact": "PARTIAL", "confidentialityImpact": "PARTIAL"}, "acInsufInfo": false, "impactScore": 6.4, "baseSeverity": "HIGH", "obtainAllPrivilege": false, "exploitabilityScore": 10.0, "obtainUserPrivilege": false, "obtainOtherPrivilege": false, "userInteractionRequired": false}], "cvssMetricV31": [{"type": "Primary", "source": "nvd@nist.gov", "cvssData": {"scope": "UNCHANGED", "version": "3.1", "baseScore": 9.8, "attackVector": "NETWORK", "baseSeverity": "CRITICAL", "vectorString": "CVSS:3.1/AV:N/AC:L/PR:N/UI:N/S:U/C:H/I:H/A:H", "integrityImpact": "HIGH", "userInteraction": "NONE", "attackComplexity": "LOW", "availabilityImpact": "HIGH", "privilegesRequired": "NONE", "confidentialityImpact": "HIGH"}, "impactScore": 5.9, "exploitabilityScore": 3.9}]}, "published": "2020-05-15T19:15:12.277", "references": [{"url": "https://github.com/0FuzzingQ/vuln/blob/master/sklearn%20unserialize.md", "tags": ["Exploit", "Third Party Advisory"], "source": "cve@mitre.org"}, {"url": "https://scikit-learn.org/stable/modules/model_persistence.html#security-maintainability-limitations", "tags": ["Third Party Advisory"], "source": "cve@mitre.org"}, {"url": "https://github.com/0FuzzingQ/vuln/blob/master/sklearn%20unserialize.md", "tags": ["Exploit", "Third Party Advisory"], "source": "af854a3a-2127-422b-91ae-364da2661108"}, {"url": "https://scikit-learn.org/stable/modules/model_persistence.html#security-maintainability-limitations", "tags": ["Third Party Advisory"], "source": "af854a3a-2127-422b-91ae-364da2661108"}], "vulnStatus": "Modified", "weaknesses": [{"type": "Primary", "source": "nvd@nist.gov", "description": [{"lang": "en", "value": "CWE-502"}]}], "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."}], "lastModified": "2024-11-21T05:00:39.113", "configurations": [{"nodes": [{"negate": false, "cpeMatch": [{"criteria": "cpe:2.3:a:scikit-learn:scikit-learn:*:*:*:*:*:*:*:*", "vulnerable": true, "matchCriteriaId": "BFA8D419-E6D7-4DBF-9554-957975CD6101", "versionEndIncluding": "0.23.0"}], "operator": "OR"}]}], "sourceIdentifier": "cve@mitre.org"}