Umami Panel Detection Scanner

This scanner detects the use of Umami Panel in digital assets.

Short Info


Level

Medium

Single Scan

Single Scan

Can be used by

Asset Owner

Estimated Time

10 seconds

Time Interval

8 days 19 hours

Scan only one

URL

Toolbox

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Umami is a simple, fast, and privacy-focused open-source analytics solution used by web developers, digital analysts, and businesses to track and analyze website traffic. It provides essential insights into user behavior and website performance without compromising user privacy. Unlike other analytics solutions, Umami prioritizes user data and privacy by storing data on your server. It is popular among privacy-conscious companies and developers who require transparency and control over their analytics. Umami's open-source nature makes it a versatile tool for customizing tracking according to specific requirements, resulting in a wide adoption across different industries. With an easy to setup and efficient interface, Umami integrates seamlessly with a variety of platforms ensuring extensive usability.

Panel Detection vulnerabilities often allow attackers to identify and access sensitive locations within a software. By detecting the presence of administrative panels or management interfaces, attackers can exploit these detections, potentially gaining unauthorized access or information. This type of vulnerability is crucial as it can reveal the existence of backdoor entry points tied to potentially unprotected administrative functions. Identifying such panels without adequate security can help with remediation efforts and bolster security postures. The detection ensures organizations are aware of any potential exposure to unauthorized access. Protecting administrative panels is often a priority in cybersecurity due to their sensitive functions and data access capabilities.

The technical details of the panel detection involve examining the response status codes and favicon hashes from application endpoints. The Umami panel can be identified by its unique HTML elements and favicon hash corresponding to its interface. This information may be leveraged by attackers to recognize specific software installations and versioning details. When a request is made to a given URL, a successful match of known identifiers like "Login | umami" or the favicon hash "-130447705" confirms the presence of a Umami panel. This detection is achieved by assessing the page's response content and employing logical expressions to validate findings. The endpoint vulnerabilities are typically found in the login and favicon paths.

Exploiting this vulnerability may lead malicious entities to gain unauthorized access to Umami's analytics dashboard, allowing them to view, manipulate, or delete analytics data. Sensitive or private traffic details might be exposed or altered, leading to privacy violations and inaccurate analytics reports. This exploitation can cause significant disruptions for organizations relying on accurate data for business decisions. Compromised panels can also be used to inject malicious scripts or changes affecting overall website integrity. Therefore, securing access to such panels is crucial to preventing further security implications and safeguarding data integrity.

REFERENCES

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