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cpe:2.3:a:zhinst:labone_q:*:*:*:*:*:*:*:*part: a version: * update: *
| Vendor | Zhinst (b8727c81-96be-5339-9d6e-2029dae8e786) |
|---|---|
| Product | Labone Q (23d16d90-80a1-5026-9e1e-c3e441d56416) |
| Edition | * |
| Language | * |
| Software edition | * |
| Target software | * |
| Target hardware | * |
| Other | * |
Notes
Imported from purl2cpe mapping
PURL mappings
| PURL | Source | Last updated |
|---|---|---|
pkg:github/zhinst/laboneq |
purl2cpe | 2026-06-01 10:11:27.234918 |
Vulnerability references
| Identifier | cpeApplicability | Submitted | db.gcve.eu details | Rationale |
|---|---|---|---|---|
CVE:CVE-2026-7584 |
vulnerable | 2026-06-08 08:08:57.429034 |
Arbitrary Code Execution via Unsafe Deserialization in LabOne Q
HIGH (7.8)
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.
Published: 2026-05-01T07:21:18.781Z
Updated: 2026-05-01T13:26:59.075Z Reference links |
Imported from gcve-enriched-dumps CVE data |
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