Moodle Workplace Panel Detection Scanner
This scanner detects the use of Moodle Workplace Panel in digital assets. It helps identify the presence of Moodle Workplace login panels for security assessments and administrative oversight.
Short Info
Level
Single Scan
Single Scan
Can be used by
Asset Owner
Estimated Time
10 seconds
Time Interval
9 days 21 hours
Scan only one
URL
Toolbox
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Moodle Workplace is utilized by educational institutions and organizations around the globe to offer training and development solutions. This platform supports a wide range of e-learning and management features, enabling educators and administrators to orchestrate courses and track learner progress efficiently. Various organizations incorporating company and employee training, skills development, compliance, and certification activities utilize Moodle Workplace. The software integrates with existing systems and can be customized to enhance or support varied enterprise learning environments. Its flexible nature and powerful features make Moodle a preferred choice in e-learning solutions. Moodle Workplace supports both cloud-based and on-premises deployment models, adapting to enterprise needs.
The vulnerability detected by this scanner involves the exposure of the Moodle Workplace login panel to unauthorized access or potential scrutiny. Identifying such panels is crucial as it may signify an entry point for unauthorized entities attempting to infiltrate or misuse the system. Having open or publicly accessible login entrances could make platforms susceptible to brute force attacks or phishing attempts. Detection of these panels ensures that proper security measures are enforced, safeguarding against unauthorized access. By detecting Moodle panels, organizations can reassess their access configurations and strengthen authentication protocols.
The vulnerability details primarily focus on the identification of Moodle Workplace login panels, which is done by inspecting HTTP headers and response bodies for specific markup unique to the Moodle application. The scanner uses HTTP GET requests to the login endpoint of the Moodle Workplace instance to determine accessibility. Detection logic is based on matching known Moodle-specific HTML identifiers and checking server response status codes to establish the presence of the login interface. No specific login parameters or credentials are required, as the onus is on observing the web application's output for distinct signatures. Alerting administrators to the presence of these login panels allows them to implement necessary access control measures.
The possible effects of such vulnerability detection include revealing unsecured interfaces to a potentially hostile environment, alerting organizations to reinforce login access controls, and amending any misconfigurations or overlook security policies. If misused, these panels can facilitate attempts at unauthorized login, lead to system compromise, or data breaches. Timely detection enables organizations to respond efficiently by deploying tighter security protocols and reconfiguring visibility or exposure of sensitive entry points. If ignored, the vulnerability could expose critical systems to unauthorized manipulation and data theft, affecting organizational integrity.
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