QlikView Panel Detection Scanner

This scanner detects the use of QlikView in digital assets.

Short Info


Level

Medium

Single Scan

Single Scan

Can be used by

Asset Owner

Estimated Time

10 seconds

Time Interval

1 week 13 hours

Scan only one

URL

Toolbox

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QlikView is a business intelligence software used in various industries for data visualization and analytics. Developed by Qlik, it supports decision-making processes by transforming data into actionable insights. Organizations and professionals in sectors like finance, healthcare, and retail employ QlikView to analyze large datasets and create interactive reports. Its AccessPoint feature is a web-based interface that enables users to access dashboards and reports from different devices. This tool is vital for businesses aiming to leverage data-driven strategies and gain competitive advantages. The software's flexibility and scalability make it suitable for companies of various sizes.

Panel Detection involves identifying access points, such as login panels, in web applications. These entry points can reveal crucial information about the application and system configuration. Detecting login panels helps in understanding potential exposure points where an unauthorized user might attempt access. The presence of specific panels can indicate the use or dependence on certain software, allowing businesses to assess their application interfaces. Identifying these panels is crucial for addressing potential security misconfigurations or weaknesses. Detecting login panels is an essential step in securing web applications and preventing unauthenticated access attempts.

Panel detection often focuses on recognizing specific HTML elements or server responses that indicate the presence of a login interface. In technical terms, vulnerable endpoints could be paths such as /qlikview/FormLogin.htm, which return distinct titles or identifiers in the HTML body, such as <title>QlikView - AccessPoint. These identifiers assist in confirming the application's deployment, aiding in security auditing and penetration testing. Detecting panels often involves scanning for specific status codes or text strings in HTTP response bodies. Successfully pinpointing these elements helps understand the system's structure and paves the way for further security assessments.

If a detected vulnerability is exploited by malicious users, it might allow unauthorized access to sensitive data and system controls. Attackers could use the information gained to initiate further attacks, potentially leading to data breaches or service disruptions. The exposure of a login panel can also provide clues for brute force or credential-based attacks on the system. Moreover, successful exploitation can result in increased scrutiny and vulnerability escalation, impacting the organization's operational and financial standing. Therefore, addressing such vulnerabilities is crucial to maintaining data integrity and system security.

REFERENCES

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