S4E

Grafana Login Detection Scanner

Grafana Login Detection Scanner

Short Info


Level

Critical

Single Scan

Single Scan

Can be used by

Asset Owner

Estimated Time

10 seconds

Time Interval

22 days 8 hours

Scan only one

URL, Domain, IPv4

Toolbox

-

Grafana is an open-source platform used primarily for monitoring and observability, providing developers and operations teams with the ability to query, visualize, and alert on data from a range of different sources. Self-hosted instances of Grafana are frequently employed within organizations seeking custom data monitoring capabilities within a private or controlled environment. Grafana supports numerous data source integrations, dashboards, and alerting options, making it valuable for maintaining system insights and performance metrics. This login functionality is essential for administrators and users to access and configure monitoring dashboards.

This vulnerability focuses on detecting valid login attempts on self-hosted Grafana instances, specifically addressing the risk of credential stuffing. Credential stuffing attacks are brute-force techniques where stolen credentials are used to attempt unauthorized access. Detecting login attempts on Grafana allows for identifying potential security gaps, especially misconfigurations or weak login protections that could make the system susceptible to unauthorized access. This detection checks if valid login attempts are possible, which could expose the Grafana instance to unauthorized entry.

Technically, this vulnerability exploits Grafana’s `/login` endpoint to test if it allows access through valid credentials. The scanner sends a POST request with possible username-password combinations and checks the response for indications of a successful login, such as the presence of `"Logged in"` in the response body and the `grafana_session` cookie in the headers. Identifying successful logins highlights instances that might lack sufficient login protections, making them prone to brute-force credential stuffing attacks.

Exploitation of this vulnerability could lead to unauthorized access to sensitive monitoring dashboards, configuration settings, and data visualizations within Grafana. Attackers with access to the monitoring data could misuse it for reconnaissance, potentially uncovering sensitive operational insights and performance metrics. Strengthening login protections for self-hosted Grafana instances is essential to prevent unauthorized access and mitigate risks associated with credential stuffing attacks.

REFERENCES

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