iClock Automatic Data Master Server Panel Detection Scanner

This scanner detects the use of iClock Automatic Data Master Server Panel in digital assets.

Short Info


Level

High

Single Scan

Single Scan

Can be used by

Asset Owner

Estimated Time

10 seconds

Time Interval

8 days

Scan only one

URL

Toolbox

-

iClock Automatic Data Master Server is a time attendance and data management software used in various organizations to streamline employee management and data retrieval processes. Developed to function as a centralized server, it connects with multiple data collection terminals to store, manage, and process attendance data centrally. Typically used by HR departments, it simplifies attendance tracking, reporting, and ensures compliance with organizational policies. Its web-based interface allows administrators to access, modify, and analyze data easily, facilitating better resource management and efficiency. The software is employed in various sectors including manufacturing, corporate offices, and retail, providing a robust and flexible solution for employee data management. With features like automated data synchronization, iClock ensures real-time updates and accuracy in attendance data across organizational branches.

This detection template identifies the presence of the admin login panel for the iClock Automatic Data Master Server. The panel detection occurs when specific HTML elements related to the iClock login page are found in the server's HTTP response. This identifies potential exposure of the admin interface to unauthorized users if not properly secured. By detecting these panels, administrators can assess whether their system configuration could inadvertently allow access to sensitive areas. Such panels, if externally accessible and misconfigured, can lead to unauthorized access and potential data breaches. Therefore, this scanner serves an essential role in proactively identifying at-risk configurations to bolster security around critical administrative interfaces.

When the scanner executes, it sends HTTP GET requests to the standard admin panel login endpoints of the iClock server. The scanner searches for distinctive phrases in the body of the HTTP response like "site-name: iClock Automatic Data Master Server” or related tags from Django admin dashboard elements. Successful detection confirms the presence of an admin panel, which is typically shown by a 200 HTTP status and the specific keywords related to the iClock setup. The technology underlying these panels is crucial as it can be indicative of other third-party systems in use that might also need examining. Ensuring these detection mechanisms are accurate helps organizations know what systems are visible externally and potentially overexposed.

If exploited, the exposure of the iClock Automatic Data Master Server admin panel can lead to unauthorized modifications to critical attendance and HR systems. Malicious actors could access sensitive data management features, alter time logs, or lock legitimate users out from system control. This translates to potential compliance violations, financial losses due to payroll errors, and reputation damage for the organization. Additionally, unauthorized individuals might leverage the system's credentials to infiltrate further into the IT infrastructure, causing systemic security breaches. These risks necessitate regular checkups using detectors to catch unsecured admin interfaces promptly.

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