CVE-2026-7584

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.
References
Configurations

Configuration 1 (hide)

OR cpe:2.3:a:zhinst:labone_q:*:*:*:*:*:*:*:*
cpe:2.3:a:zhinst:labone_q:26.4.0:beta1:*:*:*:*:*:*
cpe:2.3:a:zhinst:labone_q:26.4.0:beta2:*:*:*:*:*:*
cpe:2.3:a:zhinst:labone_q:26.4.0:beta3:*:*:*:*:*:*
cpe:2.3:a:zhinst:labone_q:26.4.0:beta4:*:*:*:*:*:*
cpe:2.3:a:zhinst:labone_q:26.4.0:beta5:*:*:*:*:*:*

History

04 May 2026, 18:23

Type Values Removed Values Added
CPE cpe:2.3:a:zhinst:labone_q:26.4.0:beta4:*:*:*:*:*:*
cpe:2.3:a:zhinst:labone_q:*:*:*:*:*:*:*:*
cpe:2.3:a:zhinst:labone_q:26.4.0:beta5:*:*:*:*:*:*
cpe:2.3:a:zhinst:labone_q:26.4.0:beta2:*:*:*:*:*:*
cpe:2.3:a:zhinst:labone_q:26.4.0:beta1:*:*:*:*:*:*
cpe:2.3:a:zhinst:labone_q:26.4.0:beta3:*:*:*:*:*:*
References () https://www.zhinst.com/support/security/2026/zi-sa-2026-002/ - () https://www.zhinst.com/support/security/2026/zi-sa-2026-002/ - Vendor Advisory
First Time Zhinst labone Q
Zhinst

01 May 2026, 08:16

Type Values Removed Values Added
New CVE

Information

Published : 2026-05-01 08:16

Updated : 2026-05-04 18:23


NVD link : CVE-2026-7584

Mitre link : CVE-2026-7584

CVE.ORG link : CVE-2026-7584


JSON object : View

Products Affected

zhinst

  • labone_q
CWE
CWE-502

Deserialization of Untrusted Data