Vulnerability · CVE-2026-7584
The LabOne Q serialization framework uses a class-loading mechanism (import_cls) to dynamically import and instantiate Python classes during deserialization.
Published May 1, 2026 · catalog updated Jun 17, 2026 · labone q
Check if you run it
No confirmed exploitation is on record for CVE-2026-7584. EPSS is 0.38%. Act only if a listed version of labone q is installed.
Gaps on this record
- No vendor fix or required action is stored. Compare the linked advisory before you change production.
- Severity
- High8.4
- Known exploitation
- Not in CISA/VulnCheck KEV
- EPSS
- 0.38%
- Remediation
- Advisory link
- Affected products
- cpe zhinst/labone q
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.
Are you affected?
Enter the version you run. The result uses only the ranges stored on this record.
The check returns affected, not affected, or incomplete. It does not guess a version that is missing from the record.
- cpe zhinst/labone q26.4.0
How to fix CVE-2026-7584
Recommended remediation
A patch or advisory reference is linked. Open the original publisher for availability by product version.
Official advisories
What to do
Three questions, each answered from this record only. Confirm the vendor advisory before you patch.
Should you patch?
No confirmed exploitation is on record for CVE-2026-7584. EPSS is 0.38%. Act only if a listed version of labone q is installed.
Which versions are affected?
Compare what you have installed with zhinst/labone q 26.4.0. Compare the installed version with the linked vendor advisory before you change production.
What should an analyst verify?
CWE-502: Deserialization of Untrusted Data. EPSS 0.38%. There is no CISA KEV listing. No Exploit-DB or Metasploit reference is linked. Use the source links for the original advisory.
Code
The project this record applies to. Exploit listings stay in References.
No public source repository is identified for this product.
Timeline
Detection, updates, and resolution for this record.
May 1, 2026 · NIST NVD
Detected
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 experime
Jun 17, 2026 · NIST NVD
Updated
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 experime
Sources
- CVE.orgVulnerability recordCVE-2026-7584
Official CVE identifier
cve.org - FIRST EPSSExploitation probabilityCVE-2026-7584
30-day exploitation probability 0.4%
first.org - NIST NVDVulnerability recordCVE-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 valid
nvd.nist.gov
References
Freshness
Last verified in this catalog Oct 18, 2026. Significant claims (KEV, EPSS, CVSS, affected ranges) come from the source rows above — open the original publisher for the authoritative advisory.