CVE-2026-63259
Summary
by MITRE • 07/22/2026
Authorization Bypass Through User-Controlled Key (CWE-639) in Kibana can lead to information disclosure via user-supplied identifiers that reference scheduled query result data from Kibana Spaces the requester is not authorized to access.
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Analysis
by VulDB Data Team • 07/22/2026
This vulnerability represents a critical authorization flaw classified under CWE-639, which specifically addresses authorization bypass through user-controlled keys. The issue manifests within the Kibana platform where users can manipulate identifiers to gain unauthorized access to scheduled query results stored in spaces they do not have proper permissions to access. This weakness fundamentally undermines the access control mechanisms that should protect data isolation between different Kibana spaces, creating a pathway for information disclosure attacks.
The technical implementation of this vulnerability occurs when Kibana processes user-supplied identifiers that reference scheduled query result data. These identifiers often contain references to internal system resources or database keys that should remain protected from unauthorized access. When proper authorization checks are bypassed during the processing of these user-controlled inputs, attackers can construct requests that traverse space boundaries and retrieve sensitive information from other users' spaces. The flaw typically stems from insufficient validation of access permissions before allowing data retrieval operations based on user-provided identifiers.
The operational impact of this vulnerability extends beyond simple unauthorized data access, creating potential for significant information disclosure across multiple organizational domains within Kibana environments. Attackers can exploit this weakness to aggregate data from various spaces, potentially exposing sensitive business intelligence, personal information, or confidential operational details that should remain isolated between different teams or departments. The vulnerability becomes particularly dangerous in multi-tenant environments where proper data segregation is critical for compliance and security governance.
Organizations should implement immediate mitigations including strengthening access control validation mechanisms, implementing comprehensive input sanitization for all user-supplied identifiers, and ensuring proper authorization checks occur before any scheduled query result data is returned to users. The fix typically requires modifying the underlying code to validate that requesting users possess appropriate permissions for the specific space and resources they are attempting to access. Security measures should also include monitoring for unusual patterns of cross-space data access attempts and implementing principle of least privilege configurations across all Kibana spaces to minimize potential impact if exploitation occurs.
This vulnerability aligns with several ATT&CK tactics including privilege escalation and credential access, as attackers can leverage the authorization bypass to gain access to resources they would normally be restricted from viewing. The weakness also relates to data exposure techniques that target misconfigured access controls and insufficient input validation processes. Organizations should consider this vulnerability as part of broader security assessments focusing on API endpoint protection, user session management, and overall access control system integrity. Regular security testing including penetration testing and code review processes should specifically target authorization mechanisms to identify similar weaknesses in other components of the Kibana platform or related systems.