🛡️ CVE-2026-63145 — elk

🟡 CVSS 5.0 — Medium ✅ No Known Exploit OSV
5.0
CVSS Score
0 Low4 Medium7 High9 Critical10

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

discuss.elastic.co (Web)
nvd.nist.gov (Web)

Details

Severity MEDIUM
CVSS Score 5.0
CVSS Vector N/A
CWE N/A
Public Exploit ✅ No
Source OSV
Published 2026-07-28
Updated 2026-08-12
Modified 2026-07-28
Fix URL N/A

Affected Packages

Software From version Fixed in
elk
kibana

Similar Threats

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