MACH-ProWeb Panel Detection Scanner
This scanner detects the use of MACH-ProWeb Panel in digital assets.
Short Info
Level
Single Scan
Single Scan
Can be used by
Asset Owner
Estimated Time
10 seconds
Time Interval
2 weeks 3 hours
Scan only one
URL
Toolbox
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MACH-ProWeb is a web-based interface commonly used for managing building automation control systems. It is widely used by facility managers and building operators to monitor and control various aspects of building systems such as HVAC, lighting, and energy management. Its intuitive interface and comprehensive features make it a preferred choice for centralized building management. Many enterprises rely on MACH-ProWeb to ensure efficient operations and optimal environmental conditions within their facilities. However, its deployment requires careful configuration to prevent unauthorized access. The product's widespread use necessitates vigilant attention to its security aspects to protect sensitive infrastructure data.
The identified vulnerability is related to the detection of the MACH-ProWeb login panel. This panel serves as the gateway for administrators and authorized personnel to access system functions. Unauthorized exposure of such a login portal can lead to attempts at unauthorized access or brute force attacks. The vulnerability highlights potential misconfigurations that leave the system exposed over the internet, making it discoverable by potential attackers. Despite no inherent weakness in the login mechanism itself, its exposure serves as an entry point for malicious actors. Effective detection allows administrators to recognize and secure exposed panels, mitigating risk.
Technical details of the vulnerability include accessibility of the login page via GET requests to known paths, such as '/login.html'. Additionally, response bodies containing specific textual identifiers like 'Log on to MACH-ProWeb' and HTTP status codes such as 200 are key indicators of vulnerability presence. These elements expose the login functionality by default or due to misconfigurations, which can be exploited for reconnaissance by potential attackers. Default configurations often do not include sufficient security measures, increasing the attack surface. Identifying these aspects promptly helps in reinforcing security barriers, especially in publicly exposed instances.
Exploitation of this vulnerability can lead to unauthorized access attempts on the MACH-ProWeb system. While direct breaches may not occur without additional vulnerabilities, exposed panels can become targets for credential guessing or exploitation of common vulnerabilities. Potential effects include increased server load due to repeated login attempts, resource exhaustion, and potential exposure of system metadata to unauthorized entities. At its worst, successful exploitation can lead to unauthorized system access and control, leading to unauthorized data changes or system disruptions. Recognizing and addressing exposure significantly reduces these risks.
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