CVE-2026-7584: LabOne Q Deserialization Leads to Arbitrary Code Execution

CVE-2026-7584: LabOne Q Deserialization Leads to Arbitrary Code Execution

The National Vulnerability Database highlights CVE-2026-7584, a critical deserialization vulnerability within LabOne Q’s serialization framework. This flaw, rated 7.8 (HIGH) on the CVSS scale, stems from the import_cls mechanism, which dynamically imports and instantiates Python classes during deserialization. Prior to the patch, this mechanism accepted unvalidated, arbitrary fully-qualified class names from serialized data, lacking any restrictions on module imports.

An attacker could exploit this by crafting a malicious serialized experiment file. When loaded by a victim using LabOne Q’s deserialization functions—for instance, a compromised file shared for collaboration or support—it would force the engine to import and instantiate arbitrary Python classes with attacker-controlled constructor arguments. This directly leads to arbitrary code execution within the context of the user running the Python process.

This is a classic CWE-502 vulnerability. It underscores the danger of unchecked deserialization, where trusted data structures can be weaponized to execute hostile code. Defenders need to recognize that seemingly benign file exchanges, even within trusted circles, can become vectors for severe compromise if underlying software libraries are not robustly secured against such deserialization abuses.

What This Means For You

  • If your organization uses LabOne Q or any software that processes serialized data from untrusted sources, you need to treat this as a red alert. Review your data exchange protocols, especially for collaborative or support-related file sharing. Ensure all instances of LabOne Q are patched to address CVE-2026-7584 immediately. This isn't theoretical; it's a direct path to arbitrary code execution, and attackers will absolutely leverage it.

Related ATT&CK Techniques

🛡️ Detection Rules

3 rules · 6 SIEM formats

3 detection rules auto-generated for this incident, mapped to MITRE ATT&CK. Sigma YAML is free — export to any SIEM format via the Intel Bot.

critical T1574.002 Execution

CVE-2026-7584: LabOne Q Arbitrary Code Execution via Deserialization

Sigma YAML — free preview
title: CVE-2026-7584: LabOne Q Arbitrary Code Execution via Deserialization
id: scw-2026-05-01-ai-1
status: experimental
level: critical
description: |
  Detects the use of common Python deserialization functions (pickle.loads, yaml.load, json.loads) by Python processes. This is a core mechanism exploited by CVE-2026-7584, where crafted serialized data can lead to arbitrary code execution when deserialized by LabOne Q.
author: SCW Feed Engine (AI-generated)
date: 2026-05-01
references:
  - https://shimiscyberworld.com/posts/nvd-CVE-2026-7584/
tags:
  - attack.execution
  - attack.t1574.002
logsource:
    category: process_creation
detection:
  selection:
      Image|endswith:
          - 'python.exe'
          - 'pythonw.exe'
      CommandLine|contains:
          - 'pickle.loads'
          - 'yaml.load'
          - 'json.loads'
      condition: selection
falsepositives:
  - Legitimate administrative activity

Source: Shimi's Cyber World · License & reuse

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Indicators of Compromise

IDTypeIndicator
CVE-2026-7584 RCE LabOne Q serialization framework
CVE-2026-7584 Deserialization LabOne Q 'import_cls' mechanism
CVE-2026-7584 Code Injection Arbitrary Python class instantiation via serialized experiment file
Source & Attribution
Source PlatformNVD
ChannelNational Vulnerability Database
PublishedMay 01, 2026 at 11:16 UTC

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