{"id":"CVE-2026-120833","aliases":["EUVD-2026-115652","GHSA-4ppf-9g5f-q8hv"],"status":"published","title":"labbench before 0.46.1 Deserialization of Untrusted Data via read() Pickle Auto-Dispatch","description":"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.","severity":{"version":"4.0","score":8.5,"vector":"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","level":"high","assessor":"cna","from":"cve"},"epss":{"day":"2026-11-12","score":0.00144,"percentile":0.03777,"model":"v2026.06.15"},"facts":{"in_kev":false,"known_exploited":false,"public_exploit":false,"fix_available":false},"cwes":["CWE-502"],"published":"2026-11-03T00:13:42Z","modified":"2026-11-03T16:30:49Z","products":[{"vendor":"nist","product":"labbench"}],"references":[{"url":"https://github.com/usnistgov/labbench/pull/32","tags":["patch","issue-tracking","fix"]},{"url":"https://github.com/usnistgov/labbench/commit/ac9b9b18cba67cb8e85eb563b6bb7dc1092b4c54","tags":["patch","fix"]},{"url":"https://github.com/usnistgov/labbench/blob/0.46.0/src/labbench/_data.py#L1664-L1666","tags":["technical-description","article"]},{"url":"https://github.com/usnistgov/labbench/blob/0.46.1/ChangeLog.md","tags":["release-notes","advisory"]},{"url":"https://pypi.org/project/labbench/0.46.1/","tags":["product","package"]},{"url":"https://github.com/usnistgov/labbench","tags":["product","package"]},{"url":"https://www.vulncheck.com/advisories/labbench-before-0.46.1-deserialization-of-untrusted-data-via-read-pickle-auto-dispatch","tags":["third-party-advisory","advisory"]},{"url":"https://nvd.nist.gov/vuln/detail/CVE-2026-120833","tags":["advisory"]},{"url":"https://pypi.org/project/labbench/0.46.1"},{"url":"https://github.com/advisories/GHSA-4ppf-9g5f-q8hv"},{"url":"https://github.com/CVEProject/cvelistV5/tree/main/cves/2026/120xxx/CVE-2026-120833.json","tags":["advisory"]}],"sources":{"cve":[{"id":"CVE-2026-120833","title":"labbench before 0.46.1 Deserialization of Untrusted Data via read() Pickle Auto-Dispatch","description":"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.","status":"published","published":"2026-11-03T00:13:42.998Z","modified":"2026-11-09T14:29:22.505Z","cvss":[{"version":"4.0","score":8.5,"vector":"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","level":"high","assessor":"cna"},{"version":"3.1","score":7.8,"vector":"CVSS:3.1/AV:L/AC:L/PR:N/UI:R/S:U/C:H/I:H/A:H","level":"high","assessor":"cna"}],"cwes":["CWE-502"],"updated_at":"2026-11-09T15:33:44.265689Z"}],"euvd":[{"id":"EUVD-2026-115652","description":"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.","status":"published","published":"2026-11-03T00:13:42Z","modified":"2026-11-09T14:29:22Z","cvss":[{"version":"4.0","score":8.5,"vector":"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","level":"high"}],"updated_at":"2026-11-09T15:17:13.549805Z"}],"ghsa":[{"id":"GHSA-4ppf-9g5f-q8hv","title":"labbench before 0.46.1 contains a deserialization of untrusted data vulnerability in read() and...","description":"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.","status":"published","published":"2026-11-03T03:30:22Z","modified":"2026-11-03T03:30:22Z","cvss":[{"version":"4.0","score":8.5,"vector":"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","level":"high"},{"version":"3.1","score":7.8,"vector":"CVSS:3.1/AV:L/AC:L/PR:N/UI:R/S:U/C:H/I:H/A:H","level":"high"}],"cwes":["CWE-502"],"updated_at":"2026-11-03T03:49:03.128673Z"}],"nvd":[{"id":"CVE-2026-120833","description":"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.","status":"published","published":"2026-11-03T01:16:52.26Z","modified":"2026-11-09T15:17:08.833Z","cvss":[{"version":"4.0","score":8.5,"vector":"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","level":"high","assessor":"secondary"},{"version":"3.1","score":7.8,"vector":"CVSS:3.1/AV:L/AC:L/PR:N/UI:R/S:U/C:H/I:H/A:H","level":"high","assessor":"secondary"}],"cwes":["CWE-502"],"updated_at":"2026-11-09T18:15:13.699929Z"}],"osv":[{"id":"CVE-2026-120833","title":"labbench before 0.46.1 Deserialization of Untrusted Data via read() Pickle Auto-Dispatch","description":"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.","status":"published","published":"2026-11-03T00:13:42.998Z","modified":"2026-11-11T02:30:23.418177759Z","cvss":[{"version":"4.0","score":8.5,"vector":"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","level":"high"}],"cwes":["CWE-502"],"updated_at":"2026-11-07T03:08:01.726202Z"}]}}