{"dataType":"CVE_RECORD","dataVersion":"5.2","cveMetadata":{"cveId":"CVE-2026-120833","assignerOrgId":"83251b91-4cc7-4094-a5c7-464a1b83ea10","state":"PUBLISHED","assignerShortName":"VulnCheck","dateReserved":"2026-11-03T00:06:11.273Z","datePublished":"2026-11-03T00:13:42.998Z","dateUpdated":"2026-11-03T00:13:42.998Z"},"containers":{"cna":{"providerMetadata":{"orgId":"83251b91-4cc7-4094-a5c7-464a1b83ea10","shortName":"VulnCheck","dateUpdated":"2026-11-03T00:13:42.998Z"},"datePublic":"2026-11-02T00:00:00.000Z","title":"labbench before 0.46.1 Deserialization of Untrusted Data via read() Pickle Auto-Dispatch","descriptions":[{"lang":"en","value":"labbench before 0.46.1 contains a deserialization of untrusted data vulnerability in read() and read_relational() that passes any file with a .p or .pickle extension to pandas.read_pickle based on the extension alone. Attackers who supply a crafted data file or relational data archive can execute arbitrary code when a user loads it with these functions."}],"problemTypes":[{"descriptions":[{"lang":"en","description":"Deserialization of Untrusted Data","cweId":"CWE-502","type":"CWE"}]}],"affected":[{"vendor":"NIST","product":"labbench","defaultStatus":"unaffected","versions":[{"version":"0","lessThan":"0.46.1","status":"affected","versionType":"custom"}],"packageURL":"pkg:pypi/labbench","repo":"https://github.com/usnistgov/labbench"}],"metrics":[{"format":"CVSS","cvssV4_0":{"version":"4.0","vectorString":"CVSS:4.0/AV:L/AC:L/AT:N/PR:N/UI:P/VC:H/VI:H/VA:H/SC:N/SI:N/SA:N","attackVector":"LOCAL","attackComplexity":"LOW","attackRequirements":"NONE","privilegesRequired":"NONE","userInteraction":"PASSIVE","vulnConfidentialityImpact":"HIGH","vulnIntegrityImpact":"HIGH","vulnAvailabilityImpact":"HIGH","subConfidentialityImpact":"NONE","subIntegrityImpact":"NONE","subAvailabilityImpact":"NONE","baseScore":8.5,"baseSeverity":"HIGH"}},{"format":"CVSS","cvssV3_1":{"version":"3.1","vectorString":"CVSS:3.1/AV:L/AC:L/PR:N/UI:R/S:U/C:H/I:H/A:H","attackVector":"LOCAL","attackComplexity":"LOW","privilegesRequired":"NONE","userInteraction":"REQUIRED","scope":"UNCHANGED","confidentialityImpact":"HIGH","integrityImpact":"HIGH","availabilityImpact":"HIGH","baseScore":7.8,"baseSeverity":"HIGH"}}],"references":[{"url":"https://github.com/usnistgov/labbench/pull/32","tags":["patch","issue-tracking"],"name":"GitHub Pull Request #32"},{"url":"https://github.com/usnistgov/labbench/commit/ac9b9b18cba67cb8e85eb563b6bb7dc1092b4c54","tags":["patch"],"name":"Patch Commit"},{"url":"https://github.com/usnistgov/labbench/blob/0.46.0/src/labbench/_data.py#L1664-L1666","tags":["technical-description"]},{"url":"https://github.com/usnistgov/labbench/blob/0.46.1/ChangeLog.md","tags":["release-notes"],"name":"labbench ChangeLog"},{"url":"https://pypi.org/project/labbench/0.46.1/","tags":["product"]},{"url":"https://github.com/usnistgov/labbench","tags":["product"]},{"name":"VulnCheck Advisory: labbench before 0.46.1 Deserialization of Untrusted Data via read() Pickle Auto-Dispatch","tags":["third-party-advisory"],"url":"https://www.vulncheck.com/advisories/labbench-before-0.46.1-deserialization-of-untrusted-data-via-read-pickle-auto-dispatch"}],"credits":[{"lang":"en","value":"Dilanka Kaushal Hewage (r3vpwnx)","type":"finder"}],"x_generator":{"engine":"vulncheck-endgame"}}}}