Umami Default Login Scanner

Umami is a simple, self-hosted web analytics solution designed for measuring website traffic and engagement. It is used by website administrators and developers who seek to track and analyze web traffic without compromising user privacy. The software provides essential insights into user behavior and the effectiveness of web content. Umami's analytics capabilities are utilized in various sectors, including e-commerce, blogging, and digital marketing. The tool is favored for its ease of integration and minimal overhead on web servers. As a lightweight alternative to mainstream analytics solutions, Umami offers a balance of functionality and simplicity.

The vulnerability identified in Umami involves the use of default login credentials. This type of vulnerability occurs when an application is deployed with preset admin usernames and passwords that are not changed post-installation. Default credentials pose a security risk as they are commonly shared and easily accessible to malicious actors. The exploitation of default login vulnerabilities can lead to unauthorized access to an application. This vulnerability type highlights the importance of changing default settings in applications to enhance security. Addressing such vulnerabilities is crucial to maintaining the integrity and confidentiality of web applications.

Technically, the default login vulnerability in Umami is exploitable through the API endpoint `/api/auth/login`. By sending a POST request with "admin" as the username and "umami" as the password, an attacker can gain access to the Umami dashboard without authorization. The vulnerability leverages pre-configured credentials that should have been modified following installation. The successful exploitation involves verifying specific keywords in the response body and headers to confirm access. The presence of certain HTTP status codes further confirms a successful login attempt with default credentials. The necessity to ensure unique credentials for each deployment is underscored by this vulnerability.

If exploited, this vulnerability can have several repercussions. Unauthorized users may access sensitive data collected by Umami, such as website traffic statistics and user interactions. Malicious actors could manipulate analytics reports to mislead website owners or stakeholders. There is also a potential threat of further exploitation if integrated with other systems or if sensitive data is connected to Umami installations. The risk includes unauthorized changes to configuration or settings that could disrupt normal analytics operations. Ultimately, default login vulnerabilities can undermine trust in the security of web applications and lead to broader data privacy concerns.

REFERENCES

• https://umami.is/docs/login