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LabOne Q EUVDEUVD-2026-26483

| CVE-2026-7584 HIGH
Deserialization of Untrusted Data (CWE-502)
2026-05-01 NCSC.ch
8.4
CVSS 4.0 · NVD
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Severity by source

NVD PRIMARY
8.4 HIGH
CVSS:4.0/AV:L/AC:L/AT:N/PR:N/UI:A/VC:H/VI:H/VA:H/SC:N/SI:N/SA:N/E:X/CR:X/IR:X/AR:X/MAV:X/MAC:X/MAT:X/MPR:X/MUI:X/MVC:X/MVI:X/MVA:X/MSC:X/MSI:X/MSA:X/S:X/AU:X/R:X/V:X/RE:X/U:X

Primary rating from NVD · only source for this CVE.

CVSS VectorNVD

CVSS:4.0/AV:L/AC:L/AT:N/PR:N/UI:A/VC:H/VI:H/VA:H/SC:N/SI:N/SA:N/E:X/CR:X/IR:X/AR:X/MAV:X/MAC:X/MAT:X/MPR:X/MUI:X/MVC:X/MVI:X/MVA:X/MSC:X/MSI:X/MSA:X/S:X/AU:X/R:X/V:X/RE:X/U:X
Attack Vector
Local
Attack Complexity
Low
Privileges Required
None
User Interaction
A
Scope
X

Lifecycle Timeline

9
Patch released
May 04, 2026 - 18:23 nvd
Patch available
Patch available
May 01, 2026 - 09:01 EUVD
Analysis Updated
May 01, 2026 - 08:27 vuln.today
v2 (cvss_changed)
Re-analysis Queued
May 01, 2026 - 08:22 vuln.today
cvss_changed
CVSS changed
May 01, 2026 - 08:22 NVD
7.8 (HIGH) 8.4 (HIGH)
Analysis Generated
May 01, 2026 - 08:00 vuln.today
EUVD ID Assigned
May 01, 2026 - 07:45 euvd
EUVD-2026-26483
Analysis Generated
May 01, 2026 - 07:45 vuln.today
CVE Published
May 01, 2026 - 07:21 nvd
HIGH 8.4

DescriptionCVE.org

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.

AnalysisAI

Unsafe deserialization in Zurich Instruments LabOne Q enables arbitrary code execution when users load malicious experiment files. The import_cls mechanism accepts unvalidated class names from serialized data, allowing attackers to instantiate arbitrary Python classes with controlled constructor arguments. Exploitation requires user interaction to open a crafted file, making this a credible vector for supply chain attacks via shared experiment configurations or support tickets. CVSS 8.4 reflects local attack vector with user interaction requirement. No confirmed active exploitation or public POC at time of analysis.

Technical ContextAI

LabOne Q is a quantum computing software framework by Zurich Instruments for programming and executing quantum experiments. The vulnerability stems from CWE-502 (Deserialization of Untrusted Data) in the serialization framework's class-loading mechanism. Python's dynamic import system allows arbitrary module and class instantiation via __import__ or importlib. The import_cls function processes fully-qualified class names (e.g., os.system, subprocess.Popen) from serialized experiment data without allowlisting safe modules or validating class types. This enables attackers to reference dangerous classes like subprocess.Popen, os.system, or eval wrappers, passing malicious constructor arguments through the deserialization process. The affected product per CPE is cpe:2.3:a:zurich_instruments:labone_q (all versions prior to fix).

RemediationAI

Upgrade to the patched version of LabOne Q specified in Zurich Instruments security advisory ZI-SA-2026-002 at https://www.zhinst.com/support/security/2026/zi-sa-2026-002/. Until patching, implement these compensating controls: (1) Restrict experiment file sources to trusted collaborators only - verify file provenance through secure channels before loading, trading operational convenience for security. (2) Execute LabOne Q in sandboxed Python environments (Docker containers with restricted capabilities, Python virtual environments with limited module access) to contain potential code execution, accepting performance overhead and setup complexity. (3) Implement file inspection workflows where experiment files undergo manual review or static analysis before deserialization in production systems, adding latency to research workflows. (4) Disable automatic file association for LabOne Q experiment formats to prevent accidental double-click execution of malicious files. (5) Apply least-privilege principles to user accounts running LabOne Q processes, limiting blast radius of successful exploitation but potentially breaking workflows requiring elevated permissions.

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EUVD-2026-26483 vulnerability details – vuln.today

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