CVE-2026-115292
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.
Fixes and workarounds
No remediation reported in collected sources.
Missing remediation information is not evidence that no patch exists.
Affected products and versions
| Product | Versions | Authority |
|---|---|---|
| Kibana Elastic |
≥ 8.0.0; ≤ 8.19.23 (affected, semver) ≥ 9.0.0; ≤ 9.4.8 (affected, semver) ≥ 9.5.0; ≤ 9.5.5 (affected, semver) Other versions: unaffected |
CNA: elastic |
Version ranges are source assertions. Check the vendor advisory and your installed configuration before determining exposure.
CVSS assessments
| Version / score | Vector | Authority |
|---|---|---|
| 3.1 / 4.3 medium |
CVSS:3.1/AV:N/AC:L/PR:L/UI:N/S:U/C:L/I:N/A:N | CNA: elastic |
Exploit evidence
No exploit evidence in collected sources. This is not proof of no exploitation.
References
For agents and automation
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