Missing Auth in Kibana ML Cross-Space Data Leak & Mod
CVE-2026-72675 Published on August 13, 2026
Missing Authorization in Kibana Machine Learning Leading to Cross-Space Information Disclosure and Unauthorized Data Modification
Missing Authorization (CWE-862) in Kibana can lead to cross-space information disclosure and unauthorized data modification via Privilege Abuse (CAPEC-122). Kibana Machine Learning carries out its Elasticsearch operations with elevated internal permissions and relies on a per-request space filter to keep the machine learning data of one space separated from another. Part of the Machine Learning functionality did not apply that filter, so operations issued from one space were carried out against the machine learning data of every space in the deployment.
Vulnerability Analysis
CVE-2026-72675 can be exploited with network access, and requires small amount of user privileges. This vulnerability is considered to have a low attack complexity. The potential impact of an exploit of this vulnerability is considered to have a high impact on confidentiality, with no impact on integrity, and no impact on availability.
Weakness Type
What is an AuthZ Vulnerability?
The software does not perform an authorization check when an actor attempts to access a resource or perform an action.
CVE-2026-72675 has been classified to as an AuthZ vulnerability or weakness.
Products Associated with CVE-2026-72675
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Affected Versions
Elastic Kibana:- Version 8.0.0, <= 8.19.19 is affected.
- Version 9.0.0, <= 9.4.4 is affected.