HIGH 8.5 NVD
CVE-2026-120833
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 exte
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.
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
This high severity vulnerability with a CVSS score of 8.5 was published on 2026-11-03 via NVD.
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