{"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"}}}}

{}

{"affected": [{"affectedData": [{"defaultStatus": "unaffected", "packageURL": "pkg:pypi/labbench", "product": "labbench", "repo": "https://github.com/usnistgov/labbench", "vendor": "NIST", "versions": [{"lessThan": "0.46.1", "status": "affected", "version": "0", "versionType": "custom"}]}], "source": "disclosure@vulncheck.com"}], "cveTags": [], "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."}], "id": "CVE-2026-120833", "lastModified": "2026-11-03T01:16:52.260", "metrics": {"cvssMetricV31": [{"cvssData": {"attackComplexity": "LOW", "attackVector": "LOCAL", "availabilityImpact": "HIGH", "baseScore": 7.8, "baseSeverity": "HIGH", "confidentialityImpact": "HIGH", "integrityImpact": "HIGH", "privilegesRequired": "NONE", "scope": "UNCHANGED", "userInteraction": "REQUIRED", "vectorString": "CVSS:3.1/AV:L/AC:L/PR:N/UI:R/S:U/C:H/I:H/A:H", "version": "3.1"}, "exploitabilityScore": 1.8, "impactScore": 5.9, "source": "disclosure@vulncheck.com", "type": "Primary"}], "cvssMetricV40": [{"cvssData": {"Automatable": "NOT_DEFINED", "Recovery": "NOT_DEFINED", "Safety": "NOT_DEFINED", "attackComplexity": "LOW", "attackRequirements": "NONE", "attackVector": "LOCAL", "availabilityRequirement": "NOT_DEFINED", "baseScore": 8.5, "baseSeverity": "HIGH", "confidentialityRequirement": "NOT_DEFINED", "exploitMaturity": "NOT_DEFINED", "integrityRequirement": "NOT_DEFINED", "modifiedAttackComplexity": "NOT_DEFINED", "modifiedAttackRequirements": "NOT_DEFINED", "modifiedAttackVector": "NOT_DEFINED", "modifiedPrivilegesRequired": "NOT_DEFINED", "modifiedSubAvailabilityImpact": "NOT_DEFINED", "modifiedSubConfidentialityImpact": "NOT_DEFINED", "modifiedSubIntegrityImpact": "NOT_DEFINED", "modifiedUserInteraction": "NOT_DEFINED", "modifiedVulnAvailabilityImpact": "NOT_DEFINED", "modifiedVulnConfidentialityImpact": "NOT_DEFINED", "modifiedVulnIntegrityImpact": "NOT_DEFINED", "privilegesRequired": "NONE", "providerUrgency": "NOT_DEFINED", "subAvailabilityImpact": "NONE", "subConfidentialityImpact": "NONE", "subIntegrityImpact": "NONE", "userInteraction": "PASSIVE", "valueDensity": "NOT_DEFINED", "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/E:X/CR:X/IR:X/AR:X/MAV:X/MAC:X/MAT:X/MPR:X/MUI:X/MVC:X/MVI:X/MVA:X/MSC:X/MSI:X/MSA:X/S:X/AU:X/R:X/V:X/RE:X/U:X", "version": "4.0", "vulnAvailabilityImpact": "HIGH", "vulnConfidentialityImpact": "HIGH", "vulnIntegrityImpact": "HIGH", "vulnerabilityResponseEffort": "NOT_DEFINED"}, "source": "disclosure@vulncheck.com", "type": "Secondary"}]}, "published": "2026-11-03T01:16:52.260", "references": [{"source": "disclosure@vulncheck.com", "url": "https://github.com/usnistgov/labbench"}, {"source": "disclosure@vulncheck.com", "url": "https://github.com/usnistgov/labbench/blob/0.46.0/src/labbench/_data.py#L1664-L1666"}, {"source": "disclosure@vulncheck.com", "url": "https://github.com/usnistgov/labbench/blob/0.46.1/ChangeLog.md"}, {"source": "disclosure@vulncheck.com", "url": "https://github.com/usnistgov/labbench/commit/ac9b9b18cba67cb8e85eb563b6bb7dc1092b4c54"}, {"source": "disclosure@vulncheck.com", "url": "https://github.com/usnistgov/labbench/pull/32"}, {"source": "disclosure@vulncheck.com", "url": "https://pypi.org/project/labbench/0.46.1/"}, {"source": "disclosure@vulncheck.com", "url": "https://www.vulncheck.com/advisories/labbench-before-0.46.1-deserialization-of-untrusted-data-via-read-pickle-auto-dispatch"}], "sourceIdentifier": "disclosure@vulncheck.com", "vulnStatus": "Received", "weaknesses": [{"description": [{"lang": "en", "value": "CWE-502"}], "source": "disclosure@vulncheck.com", "type": "Primary"}]}

{}

{}