M-Files Panel Detection Scanner
This scanner detects the use of M-Files Panel in digital assets.
Short Info
Level
Single Scan
Single Scan
Can be used by
Asset Owner
Estimated Time
10 seconds
Time Interval
20 days 19 hours
Scan only one
URL
Toolbox
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M-Files is a powerful document management solution used by businesses of all sizes worldwide. Organizations utilize M-Files to streamline document workflows, enhance collaboration, and ensure compliance with industry regulations. The platform offers features like version control, metadata-driven organization, and automated workflows, making it a valuable tool for improving productivity. By integrating seamlessly with existing systems, M-Files adapts to diverse business environments without disrupting current processes. It's commonly utilized in industries such as finance, healthcare, and legal, where document control is crucial. With its cloud capabilities, M-Files supports remote work by providing secure and versatile access to documents.
Panel Detection vulnerability refers to the identification of a login interface used to control access to a web application or service. Detecting such panels is essential for assessing the security posture of digital environments as it can reveal potential entry points for unauthorized access. A login panel generally requires credentials to grant access to backend systems or administration tools, and its exposure can lead to unauthorized access if not properly secured. Cybersecurity tools often detect login panels to ensure that they are protected against brute force attacks or unauthorized disclosure. Recognizing the presence of a login panel can aid organizations in taking corrective actions, such as implementing multi-factor authentication. Protecting login panels is a critical aspect of maintaining application security and preventing data breaches.
When a panel detection vulnerability is identified, the scanner checks for specific endpoints that reveal the presence of a login interface. In the case of M-Files, this involves detecting patterns such as page titles or specific words related to authentication within the web page body. By analyzing these elements, security tools can determine if a login panel is exposed to the public internet. Technical details such as the vulnerable HTTP endpoints (e.g., /Login.aspx) and relevant search patterns (e.g., "M-Files Web" in the HTML title) are used to accurately identify the presence of the panel. These details are crucial for organizations to harden their web services against unauthorized access attempts.
The exploitation of panel detection exposure can have several adverse effects. If cyber attackers identify an exposed login panel, they may attempt to gain unauthorized access through brute force attacks or credential stuffing. Once accessed, sensitive system information or control functionalities could be compromised, leading to data breaches or disruption of services. Moreover, successful exploitation might allow attackers to plant further security threats within the network or execute malicious commands. The presence of an unprotected login panel can significantly increase the risk of unauthorized access and potential business disruption. Therefore, organizations should ensure proper security measures are in place to safeguard such entry points.
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