CVE-2026-120833

EUVD-2026-115652
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.
ProviderTypeBase ScoreAtk. VectorAtk. ComplexityPriv. RequiredVector
NISTPrimary
7.8 HIGH
LOCAL
LOW
NONE
CVSS:3.1/AV:L/AC:L/PR:N/UI:R/S:U/C:H/I:H/A:H
Awaiting analysis
This vulnerability is currently awaiting analysis.
Base Score
CVSS 3.x
EPSS Score
Percentile: 3.73%
Common Weakness Enumeration
References
https://github.com/usnistgov/labbench
https://github.com/usnistgov/labbench/blob/0.46.0/src/labbench/_data.py#L1664-L1666
https://github.com/usnistgov/labbench/blob/0.46.1/ChangeLog.md
https://github.com/usnistgov/labbench/commit/ac9b9b18cba67cb8e85eb563b6bb7dc1092b4c54
https://github.com/usnistgov/labbench/pull/32
https://pypi.org/project/labbench/0.46.1/
https://www.vulncheck.com/advisories/labbench-before-0.46.1-deserialization-of-untrusted-data-via-read-pickle-auto-dispatch