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Grafana Scanner

This scanner detects the use of Grafana Exposure in digital assets.

Short Info


Level

Medium

Single Scan

Single Scan

Can be used by

Asset Owner

Estimated Time

10 seconds

Time Interval

18 days 9 hours

Scan only one

URL

Toolbox

Grafana is a popular open-source platform used extensively in industries like IT, finance, and telecommunications for monitoring and visualizing software metrics and logs. Developed by Grafana Labs, it provides a robust, flexible dashboard and graph editor that integrates seamlessly with over 30 different data sources. The platform is highly valued for its ability to allow users to query, visualize, alert on, and understand their metrics no matter where they are stored. Enterprises utilize Grafana to keep an eye on their networks, infrastructure, and applications, ensuring they perform optimally.

This scanner detects exposure vulnerabilities specifically related to the Grafana metrics endpoint, which can occur if this endpoint is exposed without authentication. Exposing the metrics endpoint allows unauthorized users to access sensitive infrastructure information. Given its severity, the vulnerability can reveal version details, user counts, dashboard statistics, datasources, and database connection details. These types of exposures result from misconfiguration and can lead to significant privacy and security issues if not addressed.

The technical aspects of this vulnerability entail the public exposure of the `/metrics` endpoint in Grafana, which returns detailed information about the Grafana instance. This endpoint, if left unsecured, allows anyone with access to view crucial operational data. The endpoint typically delivers data in a structured format that includes information labeled by keywords like `grafana_build_info`. To exploit this, an attacker may simply perform an HTTP GET request on the exposed URI, bypassing conventional authentication barriers and retrieving sensitive infrastructure details.

Should an attacker successfully exploit this vulnerability, the effects could range from unauthorized access to sensitive system metrics to a comprehensive reconnaissance of an organization's infrastructure, potentially leading to broader network attacks. Attackers might exploit the detailed data for planning targeted attacks or exploits, identify system weaknesses, and understand logical structures and interactions within the network. The exposure might further lead to competitive advantages or business risk due to information asymmetry.

REFERENCES

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