{"containers": {"cna": {"affected": [{"product": "n/a", "vendor": "n/a", "versions": [{"status": "affected", "version": "n/a"}]}], "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"}], "problemTypes": [{"descriptions": [{"description": "n/a", "lang": "en", "type": "text"}]}], "providerMetadata": {"dateUpdated": "2020-05-18T11:16:54", "orgId": "8254265b-2729-46b6-b9e3-3dfca2d5bfca", "shortName": "mitre"}, "references": [{"tags": ["x_refsource_MISC"], "url": "https://github.com/0FuzzingQ/vuln/blob/master/sklearn%20unserialize.md"}, {"tags": ["x_refsource_MISC"], "url": "https://scikit-learn.org/stable/modules/model_persistence.html#security-maintainability-limitations"}], "tags": ["disputed"], "x_legacyV4Record": {"CVE_data_meta": {"ASSIGNER": "cve@mitre.org", "ID": "CVE-2020-13092", "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 ** 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."}]}, "problemtype": {"problemtype_data": [{"description": [{"lang": "eng", "value": "n/a"}]}]}, "references": {"reference_data": [{"name": "https://github.com/0FuzzingQ/vuln/blob/master/sklearn%20unserialize.md", "refsource": "MISC", "url": "https://github.com/0FuzzingQ/vuln/blob/master/sklearn%20unserialize.md"}, {"name": "https://scikit-learn.org/stable/modules/model_persistence.html#security-maintainability-limitations", "refsource": "MISC", "url": "https://scikit-learn.org/stable/modules/model_persistence.html#security-maintainability-limitations"}]}}}}, "cveMetadata": {"assignerOrgId": "8254265b-2729-46b6-b9e3-3dfca2d5bfca", "assignerShortName": "mitre", "cveId": "CVE-2020-13092", "datePublished": "2020-05-15T18:41:33", "dateReserved": "2020-05-15T00:00:00", "dateUpdated": "2020-05-18T11:16:54", "state": "PUBLISHED"}, "dataType": "CVE_RECORD", "dataVersion": "5.0"}

{"configurations": [{"nodes": [{"cpeMatch": [{"criteria": "cpe:2.3:a:scikit-learn:scikit-learn:*:*:*:*:*:*:*:*", "matchCriteriaId": "BFA8D419-E6D7-4DBF-9554-957975CD6101", "versionEndIncluding": "0.23.0", "vulnerable": true}], "negate": false, "operator": "OR"}]}], "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."}], "id": "CVE-2020-13092", "lastModified": "2024-05-17T01:42:19.143", "metrics": {"cvssMetricV2": [{"acInsufInfo": false, "baseSeverity": "HIGH", "cvssData": {"accessComplexity": "LOW", "accessVector": "NETWORK", "authentication": "NONE", "availabilityImpact": "PARTIAL", "baseScore": 7.5, "confidentialityImpact": "PARTIAL", "integrityImpact": "PARTIAL", "vectorString": "AV:N/AC:L/Au:N/C:P/I:P/A:P", "version": "2.0"}, "exploitabilityScore": 10.0, "impactScore": 6.4, "obtainAllPrivilege": false, "obtainOtherPrivilege": false, "obtainUserPrivilege": false, "source": "nvd@nist.gov", "type": "Primary", "userInteractionRequired": false}], "cvssMetricV31": [{"cvssData": {"attackComplexity": "LOW", "attackVector": "NETWORK", "availabilityImpact": "HIGH", "baseScore": 9.8, "baseSeverity": "CRITICAL", "confidentialityImpact": "HIGH", "integrityImpact": "HIGH", "privilegesRequired": "NONE", "scope": "UNCHANGED", "userInteraction": "NONE", "vectorString": "CVSS:3.1/AV:N/AC:L/PR:N/UI:N/S:U/C:H/I:H/A:H", "version": "3.1"}, "exploitabilityScore": 3.9, "impactScore": 5.9, "source": "nvd@nist.gov", "type": "Primary"}]}, "published": "2020-05-15T19:15:12.277", "references": [{"source": "cve@mitre.org", "tags": ["Exploit", "Third Party Advisory"], "url": "https://github.com/0FuzzingQ/vuln/blob/master/sklearn%20unserialize.md"}, {"source": "cve@mitre.org", "tags": ["Third Party Advisory"], "url": "https://scikit-learn.org/stable/modules/model_persistence.html#security-maintainability-limitations"}], "sourceIdentifier": "cve@mitre.org", "vulnStatus": "Modified", "weaknesses": [{"description": [{"lang": "en", "value": "CWE-502"}], "source": "nvd@nist.gov", "type": "Primary"}]}

{}