Authorization Bypass Through User-Controlled Key in Kibana Leading to Cross-Space Access to Machine Learning Trained Models
Description:
Authorization Bypass Through User-Controlled Key (CWE-639) in Kibana can lead to unauthorized cross-space access via Accessing Functionality Not Properly Constrained by ACLs (CAPEC-1). The result is disclosure of inference output from a trained model in a different space that the user is not authorized to list, read, or use, which exposes the behavior of a model. The same pattern also reached the deployment stop and deployment update operations, allowing an active trained model deployment in another space to be stopped or to have its allocated resources altered.
Affected Versions:
- All versions from 8.19.0 up to and including 8.19.19
- All versions from 9.0.0 up to and including 9.4.4
- Version 9.5.0
Affected Configurations:
All configurations are affected.
Solutions and Mitigations:
The issue is resolved in versions 8.19.20, 9.4.5 and 9.5.1.
For Users that Cannot Upgrade:
There are no workarounds for this vulnerability.
Indicators of Compromise (IOC)
No specific indicators of compromise have been identified for this vulnerability.
Elastic Cloud Serverless
Due to our continuous deployment and patching model, the vulnerability described in this security advisory was remediated in our Elastic Cloud Serverless offering before the public disclosure.
Severity: CVSSv3.1: High ( 7.1 ) - CVSS:3.1/AV:N/AC:L/PR:L/UI:N/S:U/C:H/I:N/A:L
CVE ID: CVE-2026-72629
Problem Type: CWE-639 - Authorization Bypass Through User-Controlled Key
Impact: CAPEC-1 - Accessing Functionality Not Properly Constrained by ACLs