CVE-2024-49369 in icinga2
Summary
by MITRE • 11/12/2024
Icinga is a monitoring system which checks the availability of network resources, notifies users of outages, and generates performance data for reporting. The TLS certificate validation in all Icinga 2 versions starting from 2.4.0 was flawed, allowing an attacker to impersonate both trusted cluster nodes as well as any API users that use TLS client certificates for authentication (ApiUser objects with the client_cn attribute set). This vulnerability has been fixed in v2.14.3, v2.13.10, v2.12.11, and v2.11.12.
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Analysis
by VulDB Data Team • 11/26/2025
The vulnerability identified as CVE-2024-49369 represents a critical flaw in Icinga 2 monitoring systems that undermines the fundamental security of TLS certificate validation mechanisms. This weakness affects all versions starting from 2.4.0 and specifically targets the validation process that should ensure secure communication between cluster nodes and API users. The flaw allows attackers to bypass legitimate certificate validation procedures, creating a pathway for unauthorized impersonation attacks that can compromise the integrity of the entire monitoring infrastructure.
The technical implementation of this vulnerability stems from improper handling of TLS certificate validation logic within Icinga 2's core components. When API users authenticate using TLS client certificates with the client_cn attribute configured, the system fails to properly validate certificate chains and trust relationships. This allows malicious actors to present forged certificates that appear legitimate to the monitoring system, effectively enabling man-in-the-middle attacks against both cluster communications and API authentication mechanisms. The vulnerability specifically impacts the validation of certificate subject names and trust relationships that should normally prevent unauthorized access to critical monitoring functions.
The operational impact of this vulnerability extends beyond simple authentication bypasses, as it compromises the entire trust model of the Icinga 2 infrastructure. Attackers can impersonate legitimate cluster nodes, potentially disrupting monitoring operations, causing false alerts, or even gaining unauthorized access to sensitive system information. Additionally, the ability to impersonate API users with client certificate authentication creates opportunities for privilege escalation and data exfiltration from the monitoring environment. This vulnerability directly affects the confidentiality, integrity, and availability of monitoring data, which is critical for operational security and incident response activities. Organizations relying on Icinga 2 for infrastructure monitoring face significant risk of undetected compromise, as the system would accept forged certificates without proper validation.
Mitigation strategies for CVE-2024-49369 require immediate deployment of patched versions including v2.14.3, v2.13.10, v2.12.11, and v2.11.12, which address the flawed certificate validation logic through enhanced certificate chain verification and stricter trust relationship enforcement. System administrators should conduct comprehensive audits of all Icinga 2 installations to identify vulnerable versions and implement the necessary updates across all monitoring infrastructure components. Additional defensive measures include monitoring for unusual certificate usage patterns, implementing network segmentation to limit access to monitoring systems, and establishing robust certificate lifecycle management processes. The vulnerability aligns with CWE-295 which addresses improper certificate validation and relates to ATT&CK technique T1566 which covers credential harvesting through network manipulation, highlighting the importance of proper certificate validation in maintaining system security. Organizations should also consider implementing additional security controls such as certificate pinning and enhanced logging to detect potential exploitation attempts and maintain visibility into certificate-related activities within their monitoring environments.