CVE-2026-120833
7.8 HIGHpublic exploit availablePublished 2026-11-03 · Updated 2026-11-03
AI analysis for this CVE has not been generated yet. Raw NVD data is shown below.
NVD 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.
CVSS vector
CVSS:3.1/AV:L/AC:L/PR:N/UI:R/S:U/C:H/I:H/A:H
Weaknesses
CWE-502
Public exploit & PoC 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
All 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
Source data: NVD (nvd.nist.gov), public domain. Exploit-DB.ai adds local AI analysis for defensive use only.
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