Kibana ML Delete Saved Object Missing Trained Model Privilege
CVE-2026-72671 Published on August 13, 2026
Missing Authorization in Kibana Leading to Unauthorized Modification of Machine Learning Trained Model Space Assignments
A Kibana Machine Learning capability that removes a saved object from the current space accepts machine learning trained models as a target, but it verifies only the privileges that apply to anomaly detection jobs and data frame analytics jobs. A user whose role grants create anomaly detection jobs and data frame analytics jobs without the trained model privilege can therefore remove a trained model from a space. The model itself is not deleted and remains available in its other spaces, and the change can be reversed by a suitably privileged user.
Vulnerability Analysis
CVE-2026-72671 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 no 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-2026-72671 has been classified to as an AuthZ vulnerability or weakness.
Products Associated with CVE-2026-72671
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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.