Redash Panel Detection Scanner

Redash is an open-source business intelligence tool primarily used for visualizing and sharing data-driven insights. It is used by data analysts, business users, and developers to create interactive data dashboards. Redash supports a variety of data sources, allowing users to query and visualize data efficiently. Businesses leverage Redash to inform decisions through data visualization and reporting. Its web-based interface and collaboration capabilities make it a popular choice for organizations aiming to democratize data access. Redash is typically installed on company servers or a cloud environment, contributing to its widespread adoption.

The vulnerability detected in this scanner involves the identification of an exposed Redash login panel. Panel Detection is crucial as it identifies potential entry points for unauthorized access if not properly secured. The presence of the login panel indicates where authentication processes are accessible, which could be targeted for attacks like brute force. It serves as a starting point for assessing the security posture of an application. By detecting the panel, businesses can quickly verify whether access controls like IP restrictions or two-factor authentication are enforced. Proper management of such panel access directly impacts the security of sensitive data stored within Redash.

Technically, the detection of a Redash login panel involves sending an HTTP GET request to likely login URL paths and analyzing response characteristics. The scanner checks for specific HTML title tags that indicate a Redash login page. Additionally, a successful detection corresponds to HTTP status codes indicating page availability. This approach highlights panels detectable using minimal footprint techniques, enhancing the stealthiness of security scans. Responses confirming the presence of "<title>Login to Redash</title>" or "<title>Login | Redash</title>" signify success. The scanner facilitates recognition of accessible login points for further security examination.

If this panel is exploited by malicious actors, it could lead to unauthorized access to the Redash application. This could enable an attacker to view, modify, or delete data visualizations and insights. The exposure of sensitive business insights could harm an organization’s competitive edge and decision-making capabilities. Furthermore, unauthorized access might allow attackers to use the application as a pivot point, potentially compromising other connected systems. Mitigating exposure of such critical panels is essential to maintaining organizational data integrity and confidentiality.

REFERENCES

• https://redash.io
• https://docs.redash.io/en/latest/