CVE-2025-32814 Scanner

Infoblox NetMRI is a network automation and orchestration solution used by organizations to manage network devices, monitor configurations, and ensure compliance with network policies. It is typically employed by IT administrators and network engineers in large enterprises, managed service providers, and organizations with complex networks. NetMRI enables automated network discovery, configuration management, and policy compliance across multi-vendor network environments. It helps in identifying and resolving network issues, optimizing network performance, and maintaining secure configurations. The software is widely used to reduce operational costs and enhance network security by ensuring that network devices are correctly configured and compliant with industry standards. Infoblox is known for providing solutions that facilitate efficient network management and security.

The detected vulnerability in Infoblox NetMRI is an SQL Injection flaw found in the login feature, affecting the 'skipjackUsername' parameter. This type of vulnerability allows attackers to execute arbitrary SQL commands against the database, potentially exposing sensitive information stored within it. The vulnerability does not require authentication, which makes it particularly dangerous as it can be exploited by any unauthenticated user. If successfully exploited, attackers can manipulate the backend SQL database, leading to unauthorized data access or manipulation. This vulnerability is critical and poses a significant risk to organizations using the affected version of NetMRI. SQL Injection flaws are common in web applications and highlight weaknesses in input validation mechanisms.

The technical details of this vulnerability point towards a lack of input validation in the 'skipjackUsername' parameter. The endpoint is '/netmri/config/userAdmin/login.tdf', where malicious SQL commands can be injected through this parameter. The vulnerability is disclosed when an attacker appends specific SQL queries that manipulate the database management system's execution. The proof of concept involves using SQL syntax to retrieve information such as decrypted passwords from the vulnerable database. The use of error-based techniques indicates that the SQL injection flaw can reveal errors during query execution, aiding the attacker further in exploiting the underlying database. This specific attack vector is crucial for understanding how the injection is performed and exploited.

If exploited, this SQL Injection vulnerability could have several severe effects. Unauthorized access to sensitive information stored in the database, including user credentials, configuration data, and other protected information, is possible. Attackers might also inject, delete, or alter sensitive data, potentially compromising data integrity. Moreover, executing arbitrary commands on the database can lead to complete system compromise, allowing attackers a foothold into the network, which can be used for further attacks. Organizations may face substantial damage, including data breaches, loss of customer trust, and financial implications due to mitigation efforts and legal consequences. Such vulnerabilities highlight the importance of rigorous application security testing and validation.

REFERENCES

• https://nvd.nist.gov/vuln/detail/CVE-2025-32814
• https://rhinosecuritylabs.com/research/infoblox-multiple-cves/