The LabOne Q serialization framework uses a class-loading mechanism (import_cls) to dynamically import and instantiate
Source GCVE Database
Not known to be exploited · CVSS 7.8 High : upgrade to 26.1.2 soon.
Data as of 27 Oct 2026, 00:38 UTC
- Patch
- Available – fixed in 26.1.2
CVSS:3.1/AV:L/AC:L/PR:N/UI:R/S:U/C:H/I:H/A:HExploitation evidence
Disclosed: evidence found.
CVE published 1 May 2026
Detectable: no evidence on record.
No public nuclei template indexed
Weaponised: no evidence on record.
No public exploit code indexed in Metasploit or Exploit-DB
Exploited in the wildExploited: no evidence on record.
Not in CISA KEV and no source reports exploitation
Observed by OffSeq MirageSeen by Mirage: no evidence on record.
No attack traffic recorded by OffSeq Mirage sensors
A missing step is not evidence of safety. Sources: cve.org (opens in a new tab), the Metasploit, Exploit-DB and nuclei-templates index as of 26 Oct 2026.
What to do
Upgrade LabOne Q and laboneq to 26.1.2.
Affected software
| Product | Affected | Fixed in |
|---|---|---|
| Zurich InstrumentsLabOne Q | Affected
| Fixed in
|
PyPIlaboneqpkg:pypi/laboneqOther threats | Affected
| Fixed in
|
PyPIlabone-qpkg:pypi/labone-qOther threats | Affected
| Fixed in– |
Check your own hosts for these packages with threat-finder (opens in a new tab), our free open-source scanner.
AI-suggested
If you cannot patch yet, avoid loading serialized experiment files from untrusted or unauthenticated sources to prevent exploitation.
Description
The LabOne Q serialization framework prior to a fix allowed unsafe dynamic class loading during deserialization. It accepted arbitrary fully-qualified Python class names from serialized data without validation, enabling an attacker to craft malicious experiment files that execute arbitrary code when deserialized by the victim. Exploitation requires victim interaction to load a malicious file.