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.

CVSS v3 7.8 HIGH

7.8^/10

CVSS v3 : HIGH

Vector :

Exploitability : 1.8 / Impact : 5.9

Attack Vector LOCAL

Attack Complexity LOW

Privileges Required NONE

User Interaction REQUIRED

Confidentiality Impact HIGH

Integrity Impact HIGH

Availability Impact HIGH

Scope UNCHANGED

References

Link	Resource
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

Configurations

No configuration.

History

03 Nov 2026, 01:16

Type	Values Removed	Values Added
New CVE

Information

Published : 2026-11-03 01:16

Updated : 2026-11-03 16:30

NVD link : CVE-2026-120833

Mitre link : CVE-2026-120833

CVE.ORG link : CVE-2026-120833

JSON object : View

Products Affected

No product.

CWE

CWE-502

Deserialization of Untrusted Data

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