CyberRota Analysis
AI-GeneratedKibana's Machine Learning feature is vulnerable due to a missing authorization check, allowing cross-space information disclosure and unauthorized data modification through privilege abuse. This flaw arises because certain operations bypass the intended space filter, enabling access to machine learning data across all spaces within a deployment. Organizations utilizing Kibana, particularly those leveraging its Machine Learning capabilities, should prioritize addressing this vulnerability to safeguard sensitive data and maintain proper access controls.
Original NVD Description
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.