Authorization Bypass Through User-Controlled Key in Kibana Leading to Information Disclosure
Authorization Bypass Through User-Controlled Key (CWE-639) in Kibana Machine Learning can lead to information disclosure via Accessing Functionality Not Properly Constrained by ACLs (CAPEC-1). An authenticated user with Machine Learning read access in one Kibana space can read the audit and error messages of data frame analytics jobs that belong to other spaces that the user is not authorized to access. These messages can include job details such as destination index names, analyzed field names, and failure information.
Affected Versions:
- 8.x: All versions from 8.0.0 up to and including 8.19.23
- 9.x:
- All versions from 9.0.0 up to and including 9.4.8
- All versions from 9.5.0 up to and including 9.5.5
Affected Configurations:
- Kibana deployments with more than one space, where a user has Machine Learning feature read access in at least one space. Deployments with a single space are not affected.
Solutions and Mitigations:
The issue is resolved in versions 8.19.24, 9.4.9, and 9.5.6.
The versions above are the first releases verified to contain the fix. Elastic recommends upgrading to one of these fixed versions or a later release verified to contain the fix, and reviewing the known issues for your target version before upgrading.
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: Medium ( 4.3 ) - CVSS:3.1/AV:N/AC:L/PR:L/UI:N/S:U/C:L/I:N/A:N
CVE ID: CVE-2026-115292
Problem Type: CWE-639 - Authorization Bypass Through User-Controlled Key
Impact: CAPEC-1 - Accessing Functionality Not Properly Constrained by ACLs