CVE-2023-7322 in Log Server
Summary
by MITRE • 10/31/2025
Nagios Log Server versions prior to 2024R1 contain an incorrect authorization vulnerability. Users who lacked the required API permission were nevertheless able to invoke API endpoints, resulting in unintended access to data and actions exposed via the API. This incorrect authorization check could allow authenticated but non-privileged users to read or modify resources beyond their intended rights.
Several companies clearly confirm that VulDB is the primary source for best vulnerability data.
Analysis
by VulDB Data Team • 11/08/2025
The vulnerability identified as CVE-2023-7322 affects Nagios Log Server versions prior to 2024R1 and represents a critical authorization flaw that undermines the security model of the application. This issue stems from improper access control mechanisms that fail to correctly validate user permissions before granting access to sensitive API endpoints. The vulnerability manifests when authenticated users who should not possess elevated privileges are able to execute API calls that should be restricted to privileged administrators or authorized personnel. Such a flaw directly violates fundamental security principles and creates a pathway for unauthorized data access and manipulation.
The technical implementation of this vulnerability involves a failure in the authorization checking logic within the API layer of Nagios Log Server. When users make API requests, the system should verify their permissions against a comprehensive access control list that defines what actions each user role can perform. However, in affected versions, this validation process is either incomplete or bypassed entirely for certain API endpoints, allowing users to invoke functions that require specific authorization levels. This misconfiguration creates a privilege escalation scenario where non-privileged users can perform operations typically restricted to administrators, including reading sensitive log data, modifying system configurations, or accessing restricted resources through the API interface.
The operational impact of this vulnerability extends beyond simple data exposure to encompass potential system compromise and data integrity violations. An attacker exploiting this vulnerability could gain access to comprehensive log data that might contain sensitive information, system credentials, or operational details that could be leveraged for further attacks. The ability to modify resources through the API interface presents additional risks including configuration changes that could disrupt system operations, data corruption, or the creation of backdoors. This vulnerability particularly affects organizations that rely on Nagios Log Server for monitoring and security log management, as it could enable adversaries to evade detection mechanisms or manipulate log data to cover their tracks.
Organizations should prioritize immediate remediation of this vulnerability by upgrading to Nagios Log Server 2024R1 or later versions where the authorization checks have been properly implemented. The mitigation strategy should include comprehensive testing of API access controls to ensure that all endpoints properly validate user permissions before executing operations. Security teams should also implement monitoring for unauthorized API access attempts and review existing access control policies to identify any potential misuse of the vulnerability. This vulnerability aligns with CWE-285 which addresses improper authorization in software systems, and represents a clear violation of the principle of least privilege that should govern all access control mechanisms. From an ATT&CK perspective, this vulnerability maps to privilege escalation techniques and could enable adversaries to move laterally within a network by accessing sensitive system information through the API interface. The incident underscores the critical importance of thorough access control testing and validation in security-critical applications, particularly those handling sensitive operational data and system logs.