Deserialization in Nist Labbench
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 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.
Vulnerability class: Insecure Deserialization
Published .
CVSS v3 metric
CVSS v3 base score 7.8 (High). Vector: CVSS:3.1/AV:L/AC:L/PR:N/UI:R/S:U/C:H/I:H/A:H.
EPSS exploit prediction
No EPSS score from FIRST.org yet. New CVEs usually get one within a few days; no score means no signal yet, not low risk. How EPSS works.
Affected products
Weakness classification (CWE)
References
- github.com/usnistgov/labbench/pull/32 (issue-tracking, patch)
- github.com/usnistgov/labbench/commit/ac9b9b18cba67cb8e85eb563b6bb7dc1092b4c54 (patch)
- github.com/usnistgov/labbench/blob/0.46.0/src/labbench/_data.py (technical-description)
- github.com/usnistgov/labbench/blob/0.46.1/ChangeLog.md (release-notes)
- pypi.org/project/labbench/0.46.1/ (product)
- github.com/usnistgov/labbench (product)
- www.vulncheck.com/advisories/labbench-before-0.46.1-deserialization-of-untruste… (third-party-advisory)
Frequently asked questions
- What is CVE-2026-120833?
- CVE-2026-120833 is a high-severity vulnerability in Nist Labbench, classified under Deserialization of Untrusted Data. CVSS score: 7.8/10. Published 2026-11-03.
- How severe is CVE-2026-120833?
- High severity. CVSS v3 base score is 7.8 out of 10.