CVE-2020-13091

{"id": "CVE-2020-13091", "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": "2020-05-15T19:15:12.167", "references": [{"url": "https://github.com/0FuzzingQ/vuln/blob/master/pandas%20unserialize.md", "tags": ["Exploit", "Third Party Advisory"], "source": "cve@mitre.org"}, {"url": "https://pandas.pydata.org/pandas-docs/stable/reference/api/pandas.read_pickle.html", "tags": ["Third Party Advisory"], "source": "cve@mitre.org"}, {"url": "https://github.com/0FuzzingQ/vuln/blob/master/pandas%20unserialize.md", "tags": ["Exploit", "Third Party Advisory"], "source": "af854a3a-2127-422b-91ae-364da2661108"}, {"url": "https://pandas.pydata.org/pandas-docs/stable/reference/api/pandas.read_pickle.html", "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": "pandas through 1.0.3 can unserialize and execute commands from an untrusted file that is passed to the read_pickle() function, if __reduce__ makes an os.system call. NOTE: third parties dispute this issue because the read_pickle() 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 ** pandas versiones hasta 1.0.3, puede deserializar y ejecutar comandos desde un archivo no confiable que es pasado en la funci\u00f3n read_pickle(), si __reduce__ realiza una llamada os.system.NOTA: terceros disputan este problema porque la funci\u00f3n read_pickle () est\u00e1 documentada como insegura y es responsabilidad del usuario usar la funci\u00f3n de manera segura."}], "lastModified": "2024-11-21T05:00:38.950", "configurations": [{"nodes": [{"negate": false, "cpeMatch": [{"criteria": "cpe:2.3:a:numfocus:pandas:*:*:*:*:*:*:*:*", "vulnerable": true, "matchCriteriaId": "AA2BE19D-27FF-4D35-AD2C-45FB556BE272", "versionEndIncluding": "1.0.3"}], "operator": "OR"}]}], "sourceIdentifier": "cve@mitre.org"}