🛡️ CVE-2026-63145 — elk
Description
Incorrect Authorization in Kibana Leading to Machine Learning Audit Log Integrity Compromise
Incorrect Authorization (CWE-863) in Kibana can lead to integrity compromise of Machine Learning audit and notification records via Accessing Functionality Not Properly Constrained by ACLs (CAPEC-1).
A vulnerability exists in Kibana's Machine Learning functionality where a Machine Learning management endpoint performs an insufficient authorization check. The endpoint validates only a coarse privilege level but does not verify that the requesting user has access to the specific Machine Learning job or notification resources provided in the request. As a result, a low-privileged user with Machine Learning access in any Kibana space can manipulate Machine Learning audit and notification records for arbitrary jobs—including jobs in other spaces or belonging to other users—by leveraging Kibana's internally elevated credentials to write to restricted Machine Learning system indices that the user cannot access directly.
Affected software
CVE-2026-63145 is recorded against 2 packages.
- elk
- kibana
Timeline and source
Published on 28 July 2026. No public exploit is currently recorded for this entry. Record sourced from OSV.
References
Details
Affected Packages
| Software | From version | Fixed in |
|---|---|---|
| elk | — | — |
| kibana | — | — |
References
Similar Threats
- Medium CVE-2025-25009
- Medium CVE-2025-25010
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- High CVE-2024-43706
- Critical CVE-2025-25014
More CVE 2026 advisories
Browse all of CVE 2026 in the advisory index.
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