Nagios Log Server versions prior to 2026R1.0.1 contain an authenticated command injection vulnerability in the experimental 'Natural Language Queries' feature. When this feature is configured, certain user-controlled settings—including model selection and connection parameters—are read from the global configuration and concatenated into a shell command that is executed via shell_exec() without proper input handling or command-line argument sanitation. An authenticated user with access to the 'Global Settings' page can supply crafted values in these fields to inject additional shell commands, resulting in arbitrary command execution as the 'www-data' user and compromise of the Log Server host.
This vulnerability carries a HIGH severity rating with a CVSS v3.1 score of 7.2, indicating it can be exploited remotely over the network with relatively low complexity without requiring user interaction . The vulnerability impacts confidentiality (data exposure), integrity (unauthorized modifications), and availability (service disruption) for affected systems. Impacting 1 product from nagios organizations running these solutions should prioritize assessment and patching.
Reported in 2025, this vulnerability emerged during an era marked by increased sophistication in supply chain attacks, cloud infrastructure vulnerabilities, and software-as-a-service (SaaS) security challenges. Security practices during this period emphasized zero-trust architectures, container security, and API protection.
2025-11-17T18:15:56.710
2025-11-26T15:15:51.983
Modified
CVSSv3.1: 7.2 (HIGH)
| Type | Vendor | Product | Version/Range | Vulnerable? |
|---|---|---|---|---|
| Application | nagios | log_server | < 2026 | Yes |
| Application | nagios | log_server | 2026 | Yes |
SecUtils normalizes and enriches National Vulnerability Database (NVD) records by standardizing vendor and product identifiers, aggregating vulnerability metadata from both NVD and MITRE sources, and providing structured context for security teams. For nagios's affected products, we extract Common Platform Enumeration (CPE) data, Common Weakness Enumeration (CWE) classifications, CVSS severity metrics, and reference data to enable rapid vulnerability prioritization and asset correlation. This record contains no exploit code, proof-of-concept instructions, or attack methodologies—only defensive intelligence necessary for patch management, risk assessment, and security operations.