labbench before 0.46.1 contains a deserialization of untrusted data vulnerability in read() and readrelational() that passes any file with…
CVE-2026-120833
labbench before 0.46.1 contains a deserialization of untrusted data vulnerability in read() and readrelational() that passes any file with a .p or .pickle extension to pandas.readpickle 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.
Assessment
- CVSS
- 8.5 (v4.0)
- Severity
- High
- Known exploited
- Not listed in CISA KEV
- Exploit availability
- Nothing found in Exploit-DB, Metasploit, Nuclei or public PoC repositories
- Published
- 3 November 2026
- Last updated
- 3 November 2026
- Assigner
- VulnCheck
CVSS vectorCVSS:4.0/AV:L/AC:L/AT:N/PR:N/UI:P/VC:H/VI:H/VA:H/SC:N/SI:N/SA:N
At the source
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
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