gsd-2020-13092
Vulnerability from gsd
Modified
2023-12-13 01:21
Details
** 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.
Aliases
Aliases
{ "GSD": { "alias": "CVE-2020-13092", "description": "** 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\u0027s responsibility to use the function in a secure manner.", "id": "GSD-2020-13092", "references": [ "https://www.suse.com/security/cve/CVE-2020-13092.html" ] }, "gsd": { "metadata": { "exploitCode": "unknown", "remediation": "unknown", "reportConfidence": "confirmed", "type": "vulnerability" }, "osvSchema": { "aliases": [ "CVE-2020-13092" ], "details": "** 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\u0027s responsibility to use the function in a secure manner.", "id": "GSD-2020-13092", "modified": "2023-12-13T01:21:47.010142Z", "schema_version": "1.4.0" } }, "namespaces": { "cve.org": { "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\u0027s 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" } ] } }, "gitlab.com": { "advisories": [ { "affected_range": "\u003c=0.23.0", "affected_versions": "All versions up to 0.23.0", "cvss_v2": "AV:N/AC:L/Au:N/C:P/I:P/A:P", "cvss_v3": "CVSS:3.1/AV:N/AC:L/PR:N/UI:N/S:U/C:H/I:H/A:H", "cwe_ids": [ "CWE-1035", "CWE-502", "CWE-937" ], "date": "2020-05-19", "description": "scikit-learn (aka sklearn) can unserialize and execute commands from an untrusted file that is passed to the `joblib.load()` function, if `__reduce__` makes an `os.system call`.", "fixed_versions": [ "0.23.1" ], "identifier": "CVE-2020-13092", "identifiers": [ "CVE-2020-13092" ], "not_impacted": "All versions after 0.23.0", "package_slug": "pypi/scikit-learn", "pubdate": "2020-05-15", "solution": "Upgrade to version 0.23.1 or above.", "title": "Deserialization of Untrusted Data", "urls": [ "https://nvd.nist.gov/vuln/detail/CVE-2020-13092" ], "uuid": "b718f7f6-9655-4848-a0f9-45636e675d99" } ] }, "nvd.nist.gov": { "cve": { "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\u0027s 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": "2024-04-11T01:06:54.260", "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" } ] } } } }
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Sightings
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