# CVE-2026-7584

> Vulnerability · severity: **HIGH** (CVSS 7.8).

## Description

The LabOne Q serialization framework uses a class-loading mechanism (import_cls) to dynamically import and instantiate Python classes during deserialization. Prior to the fix, this mechanism accepted arbitrary fully-qualified class names from the serialized data without any validation of the target class or restriction on which modules could be imported. An attacker can craft a serialized experiment file that causes the deserialization engine to import and instantiate arbitrary Python classes with attacker-controlled constructor arguments, resulting in arbitrary code execution in the context of the user running the Python process. Exploitation requires the victim to load a malicious file using LabOne Q's deserialization functions, for example a compromised experiment file shared for collaboration or support purposes.

## Key facts

- **CVE ID:** CVE-2026-7584
- **Published:** 2026-05-01
- **CVSS severity:** HIGH
- **CVSS base score:** 7.8
- **CWE codes:** CWE-502

## Affected products

- `zhinst:labone_q`

## Primary sources

- NIST NVD: https://nvd.nist.gov/vuln/detail/CVE-2026-7584

## Citation

> AI Analytics. CVE-2026-7584. Retrieved 2026-07-20 from https://api.ai-analytics.org/cve/CVE-2026-7584. Derived from NIST NVD. Licensed CC0.

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