CVE-2026-120833 | BDVDB-2026-399686 Detail
NISTlabbench
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.
Impact#
Per CVSS v3.1: confidentiality impact high, integrity impact high, availability impact high. Attack vector: local.
Weaknesses#
- CWE-502 Deserialization of Untrusted Data
References#
- https://github.com/usnistgov/labbench/pull/32
- https://github.com/usnistgov/labbench/commit/ac9b9b18cba67cb8e85eb563b6bb7dc1092b4c54
- 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://pypi.org/project/labbench/0.46.1/
- https://github.com/usnistgov/labbench
- https://www.vulncheck.com/advisories/labbench-before-0.46.1-deserialization-of-untrusted-data-via-read-pickle-auto-dispatch
Exploit#
No public exploit known
History#
- Version 1Record published in the CVE List.
- Version 2Most recent update recorded in the CVE List.