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CVE-2026-63145: Incorrect Authorization (CWE-863) in Kibana can lead to integrity compromise of Machine Learning aud…

Occurred
Jul 21, 2026
Published
Jul 21, 2026
Source
NVD CVE

Summary

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.

Tags

  • CVE
  • CVE-2026-63145
  • cvss:MEDIUM

Classification

Category confidence: 85%
Severity confidence: 90%

Rationale: CVE describes authorization bypass in Kibana ML allowing unauthorized access to restricted data, which is a significant security flaw.

Classifier: Qwen/Qwen3.5-35B-A3B-FP8

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