ILIAS Panel Detection Scanner

This scanner detects the use of ILIAS login panel in digital assets.

Short Info


Level

Medium

Single Scan

Single Scan

Can be used by

Asset Owner

Estimated Time

10 seconds

Time Interval

17 days 18 hours

Scan only one

URL

Toolbox

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ILIAS is a widely-used open-source learning management system. It is adopted by various educational institutions, universities, and corporations for managing their e-learning and training programs. The platform supports a collaborative and interactive approach to learning, offering features like video conferencing, online quizzes, and document sharing. ILIAS is customizable and extends its capabilities with numerous plugins, making it versatile for different educational and training needs. Its accessibility via web browsers allows users to engage with the platform from anywhere, facilitating remote learning. As an integral part of digital learning environments, maintaining its security is vital for safeguarding the educational data it handles.

The vulnerability detected in this template involves the unnecessary exposure of the login panel of ILIAS. Unauthorized visibility of the login interface may allow attackers to conduct further reconnaissance or brute force attacks. Detection of publicly accessible panels can indicate configurational oversights. Such exposure can also be leveraged for phishing attacks, enticing users to disclose credentials. Panel detection is crucial as an initial understanding of a potential attack vector towards a system. Ensuring the login interface is protected from unauthorized access mitigates this risk.

Technically, the vulnerability lies in the public visibility of the login interface of ILIAS, accessible via standard URLs like "/login.php" or "/ilias/login.php". These endpoints may reveal information that can be useful for attackers, such as interface version and scripting parameters. The presence of keywords associated with ILIAS in the page content confirms the exposure of the login panel. Properly securing or hiding these panels reduces the likelihood of exploitation. Regular checks should be performed to ensure these URLs are only accessible to authorized users within a secure environment.

If exploited, the exposure of the ILIAS login panel could lead to unauthorized access attempts. Attackers might try to compromise accounts using brute force attacks, exploiting weak passwords. Successful access could lead to data breaches, loss of intellectual property, or unauthorized system modifications. Attackers could gather information on system configurations to devise more sophisticated attacks. Preventive measures such as restricting panel access and employing strong authentication mechanisms are vital to reduce these risks.

REFERENCES

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