CVE-2025-32815 Scanner

Infoblox NetMRI is a network management solution used by enterprises to monitor and manage network infrastructure. The software is typically employed by IT professionals and network administrators to ensure optimal performance and security. It provides capabilities such as network auto-discovery, configuration management, and performance monitoring. Organizations use NetMRI to automate network diagnostics and compliance enforcement. It is popular in industries such as finance, healthcare, and telecommunications where network reliability is critical. By incorporating network intelligence features, NetMRI aids in streamlining network operational tasks.

The vulnerability detected in NetMRI is related to hard-coded credentials. This issue arises when predefined login credentials are embedded within the software's code. Attackers can exploit this vulnerability to bypass authentication mechanisms and gain unauthorized access to the network management system. This type of security flaw is particularly dangerous as it undermines standard security protocols and exposes sensitive network data. In this case, the vulnerability affects all versions prior to 7.6.1, making it important for users of these versions to be aware and take corrective actions. Hard-coded credentials are a well-known security risk due to their potential to be exploited remotely.

The technical details of this vulnerability involve the presence of a hardcoded 'Authorization: Basic' token in the HTTP request headers, which can be used to access restricted areas of the application. The vulnerability allows specific endpoints, such as "/netmri/common/SetRawCookie.tdf" and "/visual/ViewerFileServlet", to be accessed without proper authentication through manipulated credentials. The flaw permits an attacker to manipulate the cookie headers and retrieve sensitive files from the server, such as "/etc/shadow". This bypass of authentication controls illustrates the risk associated with hard-coded secrets within the software code.

When exploited, this vulnerability can lead to unauthorized access and potential data exfiltration. Malicious users who gain access could manipulate network configurations, leading to service disruptions or data espionage. This could compromise the integrity of the organization's network infrastructure and put confidential data at risk. Additionally, attackers could leverage this access to install further backdoors, enabling sustained access to the internal network. Such exploitation may also result in reputational damage to the affected organization if sensitive customer data is exposed.

REFERENCES

• https://rhinosecuritylabs.com/research/infoblox-multiple-cves/
• https://nvd.nist.gov/vuln/detail/CVE-2025-32815