CVE-2023-48084 Scanner

Nagios XI is a widely used network monitoring platform that provides comprehensive IT infrastructure monitoring solutions. It is typically deployed by IT professionals, system administrators, and network engineers to gain insights into their system operations, diagnose problems, and ensure system uptime. The software is equipped with tools that allow users to monitor servers, network devices, and applications. It offers dashboard features, reporting capabilities, and alert management to enhance operational efficiency in various environments. This makes Nagios XI an essential tool for businesses and organizations looking to maintain robust and seamless IT operations. However, as with many complex software environments, certain care and vigilance must be observed especially concerning its security configurations.

The SQL Injection vulnerability detected in this template exploits a flaw in Nagios XI before version 5.3, specifically within the bulk modification tool. SQL Injection vulnerabilities allow attackers to execute unauthorized SQL commands in the database, potentially leading to information disclosure or database corruption. Often deployed without sufficient input sanitization, this vulnerability can be targeted via crafted input parameters. Unauthorized access and manipulation could then result in the compromise of sensitive data. This type of vulnerability is critical as it undermines the data integrity of affected systems. Protecting against such vulnerabilities is paramount to maintaining system reliability and security.

The technical details of this vulnerability involve exploiting the lack of input validation and parameterized queries in the bulk modification tool endpoint of Nagios XI. Attackers can leverage deliberately crafted payloads, such as SQL statements injected through normal input fields, to manipulate the database. This specific implementation allows unauthorized SQL code execution based on conditional logic to manipulate internal database checks. The detection revolves around observing the system's response time to injected queries, using time-based blind SQL injection techniques to verify susceptibility. Proper input sanitization and prepared statements are vital in preventing such risk factors within software codebases.

Possible effects of exploiting this vulnerability include unauthorized disclosure of sensitive information, such as user credentials and internal configuration settings. Attackers might also leverage access to manipulate database records, hinder application functionality, or escalate privileges within the system. Data integrity risks become prominent as unauthorized parties perform potentially destructive queries thwarting standard operations. Prolonged exposure to such vulnerabilities could lead to loss of trust from users and stakeholders, as well as compliance violations. Therefore, immediate remediation actions are necessary to secure assets and minimize any potential damages.

REFERENCES

• https://github.com/bucketcat/CVE-2023-48084
• https://github.com/Hamibubu/CVE-2023-48084
• https://nvd.nist.gov/vuln/detail/CVE-2023-48084
• https://github.com/nomi-sec/PoC-in-GitHub