CVE-2026-72669 in Kibana
Summary
by MITRE • 08/13/2026
The state that Kibana stores for an Observability Onboarding flow is not bound to the user who created the flow, and the routes that read and update that state do not verify ownership. An authenticated user who holds only generic read access to the space can therefore discover the onboarding flows of other users, read their onboarding state, and write arbitrary progress data into them. A tampered flow can also cause the owner's onboarding view to fail with a server error.
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Analysis
by VulDB Data Team • 08/13/2026
This vulnerability represents a critical authorization flaw in the Kibana observability onboarding functionality that stems from inadequate access control mechanisms during state management operations. The core issue manifests when Kibana stores user-specific onboarding flow states without proper binding to individual user identities, creating a scenario where session-based permissions fail to enforce ownership boundaries. This design oversight allows authenticated users with minimal read privileges within a shared space to exploit the system by discovering and manipulating onboarding data belonging to other users through direct route access without proper authentication verification.
The technical implementation flaw occurs at the application layer where state persistence operations lack user context validation during both read and write operations. Specifically, when users navigate through the observability onboarding workflow, Kibana maintains internal state information that should be scoped to individual user sessions but instead remains accessible to any authenticated user within the same space. This creates a privilege escalation scenario where users with generic read access can enumerate onboarding flows using standard API endpoints and subsequently modify arbitrary progress data points, effectively allowing them to inject malicious or corrupted state information into other users' workflows.
From an operational impact perspective, this vulnerability enables several attack vectors that compromise both data integrity and user experience within the observability platform. An attacker can discover the existence of other users' onboarding flows through reconnaissance activities, potentially gaining insights into organizational structure and user activity patterns. The ability to write arbitrary progress data allows for malicious manipulation of onboarding states, which can result in cascading failures where legitimate users encounter server errors when attempting to access their own onboarding views. This degradation of service impacts user productivity and creates potential security implications through information disclosure.
The vulnerability aligns with CWE-284 (Improper Access Control) and represents a specific implementation of weak session management where user context is not properly enforced during state operations. From an ATT&CK framework perspective, this maps to T1078 Valid Accounts and T1566 Phishing as attackers could leverage this weakness to gain unauthorized access to sensitive user workflow data, potentially leading to further exploitation through information gathering or social engineering attacks. Organizations using Kibana's observability features face risks including unauthorized data access, workflow manipulation, and potential denial of service conditions when legitimate users encounter corrupted onboarding states.
Mitigation strategies should focus on implementing proper ownership verification mechanisms during all state read and write operations within the observability onboarding flow. The system must enforce user context validation at the application layer before allowing any state modifications or retrievals, ensuring that each operation explicitly verifies the requesting user's authorization to access specific onboarding data. Additionally, implementing proper input sanitization and error handling will prevent malformed data from causing server errors, while establishing audit logging for all onboarding state operations will enable detection of unauthorized access attempts. Organizations should also consider implementing rate limiting and monitoring mechanisms to identify suspicious patterns in onboarding state access that may indicate exploitation attempts.