Threats Tagged 'bit-elk-2026-72629'

CVE-2026-72629 is a high-severity authorization bypass vulnerability in Kibana that allows unauthorized cross-space access to machine learning trained models. The flaw arises from improper access control checks on a user-controlled key, enabling attackers to view inference outputs from models in spaces they are not authorized to access. Additionally, attackers can stop or update active model deployments in other spaces, potentially disrupting operations or altering resource allocation. This vulnerability affects specific Kibana versions from 8.19.0 up to but not including 8.19.20, 9.0.0 up to but not including 9.4.5, and 9.5.0 up to but not including 9.5.1. A patch is available to address this issue.

Authorization Bypass Through User-Controlled Key (CWE-639) in Kibana can lead to unauthorized cross-space access via Accessing Functionality Not Properly Constrained by ACLs (CAPEC-1). The result is disclosure of inference output from a trained model in a different space that the user is not authorized to list, read, or use, which exposes the behavior of a model. The same pattern also reached the deployment stop and deployment update operations, allowing an active trained model deployment in another space to be stopped or to have its allocated resources altered.