---
title: "CVE-2026-120833: labbench - Insecure Deserialization"
description: "labbench before 0.46.1 contains an insecure deserialization vulnerability caused by untrusted .p or .pickle files passed to pandas.read_pickle in read() and read_relational(), letting attackers execute arbitrary code when loaded."
url: https://panop.io/threat-heartbeat/CVE-2026-120833/
---

# CVE-2026-120833 labbench - Insecure Deserialization

labbench before 0.46.1 contains an insecure deserialization vulnerability caused by untrusted .p or .pickle files passed to pandas.read\_pickle in read() and read\_relational(), letting attackers execute arbitrary code when loaded.

CVSS base score 7.8 /10

High

CISA KEV

Not listed

Public exploit

None known

Authentication

Not required

[View the NVD record ↗](https://nvd.nist.gov/vuln/detail/CVE-2026-120833)

## Details

Type

Insecure Deserialization

Impact

Remote Code Execution

CVSS vector

CVSS:3.1/AV:L/AC:L/PR:N/UI:R/S:U/C:H/I:H/A:H

Published

3 November 2026

Updated

3 November 2026

Weakness

[CWE-502](https://cwe.mitre.org/data/definitions/502.html)

## Vendor fix

Update to version 0.46.1 or later.

Patching closes this CVE. It does not tell you which of your systems run the affected version, or what else is exposed alongside them.

## References

- [https://nvd.nist.gov/vuln/detail/CVE-2026-120833](https://nvd.nist.gov/vuln/detail/CVE-2026-120833)
- [https://pypi.org/project/labbench/0.46.1/](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](https://www.vulncheck.com/advisories/labbench-before-0.46.1-deserialization-of-untrusted-data-via-read-pickle-auto-dispatch)
- [https://github.com/usnistgov/labbench](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/0.46.0/src/labbench/_data.py#L1664-L1666)
- [https://github.com/usnistgov/labbench/blob/0.46.1/ChangeLog.md](https://github.com/usnistgov/labbench/blob/0.46.1/ChangeLog.md)
- [https://github.com/usnistgov/labbench/commit/ac9b9b18cba67cb8e85eb563b6bb7dc1092b4c54](https://github.com/usnistgov/labbench/commit/ac9b9b18cba67cb8e85eb563b6bb7dc1092b4c54)
- [https://github.com/usnistgov/labbench/pull/32](https://github.com/usnistgov/labbench/pull/32)

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## What this record can't tell you

- Whether you run the affected software, and where
- Whether an attacker can actually reach and exploit it
- The misconfigurations that never get a CVE number
- What it would cost the business, ranked into what to fix first

Panop answers these inside your environment, for this CVE and every other finding.

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