qdPM Panel Detection Scanner
This scanner detects the use of qdPM Panel in digital assets. It helps in identifying the presence of qdPM login panels in web applications.
Short Info
Level
Single Scan
Single Scan
Can be used by
Asset Owner
Estimated Time
10 seconds
Time Interval
9 days 9 hours
Scan only one
URL
Toolbox
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qdPM software is a project management tool widely used by small to midsize companies for managing projects and tasks. It's a versatile tool that allows teams to collaborate efficiently, track tasks and projects, and allocate resources effectively. qdPM supports a wide range of functionalities like time tracking, task management, and customer management, making it useful for a variety of industries. The software is often used by project managers, team leaders, and departments that handle multiple processes simultaneously. Its flexibility and ease of use make it a popular choice for managing diverse projects while keeping team communication in sync. The application's accessibility makes it an integral tool for organizations aiming to maintain seamless project workflows.
The detection template can identify the presence of a login panel associated with qdPM software. Login panels are critical elements in web applications, providing authorized access to users. Detecting a login panel helps in identifying exposed interfaces that might lead to unauthorized access if not adequately protected. The detection process involves scanning web pages for specific indicators that confirm the availability of a login interface. This detection aims to alert administrators about the possibility of an unprotected endpoint that could be exploited. Being aware of such vulnerable endpoints is pivotal in reinforcing security measures around sensitive access points.
The template utilizes HTTP requests to identify the qdPM login panel endpoints. It scans for specific patterns in the HTTP response, such as words in the body indicating a login or password restore page. The detection process checks for standard HTTP status codes and patterns in the headers like 'text/html' to confirm the presence of these pages. By matching these patterns, the template can reliably ascertain the existence of a login panel. This detection technique is vital in quickly identifying potential vulnerabilities in the application’s access interfaces. Regular application of this detection ensures that login endpoints are appropriately secured and monitored for unauthorized access.
If malicious entities exploit vulnerabilities exposed by a detectable login panel, they might gain unauthorized access to the system. Such unauthorized access can lead to data breaches, allowing attackers to steal confidential information, manipulate data, or disrupt system operations. It may also result in backdoor installations where attackers gain prolonged access to the compromised systems, risking further cyber-attacks within an organization. The exploitation of login panels can lead to business interruptions, financial loss, and reputational damage. Ensuring that login endpoints are well-protected is crucial in preventing such security breaches.