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Datadog Browser RUM Technology Detection Scanner

This scanner detects the use of Datadog Browser RUM in digital assets.

Short Info


Level

Informational

Single Scan

Single Scan

Can be used by

Asset Owner

Estimated Time

10 seconds

Time Interval

13 days 3 hours

Scan only one

URL

Toolbox

Datadog Browser RUM is utilized by developers and organizations for real user monitoring of web applications. It helps track user interactions, performance metrics, and error reporting for web applications. The product is widely used to gain insights into user behavior and optimize web applications based on real-time data. This monitoring tool is valued by businesses aiming to enhance user experience and operational efficiency. Datadog provides insights into application bottlenecks and performance issues, enabling prompt troubleshooting and optimization. Organizations leverage Datadog RUM to ensure smooth and efficient digital experiences for their users.

This scanner identifies the presence of Datadog Browser RUM technologies in web application responses. By evaluating HTML responses, it pinpoints the integration of Datadog's SDK artifacts like initialization scripts. This detection process assists in understanding the technologies employed within a web application's frontend. It serves as a method for inventorying the tools and technologies running on digital assets. The scanner is crucial for security assessments and audits, aiding in the identification of technology stacks used. This detection capability allows organizations to enhance their security posture by being informed of the technologies deployed.

Technically, the detection method involves inspecting HTML content for specific Datadog RUM initialization words. It directly queries HTML responses to confirm the presence of strings such as "DD_RUM.init" and "DD_RUM.onReady". These indicators are part of the initialization process for Datadog's Browser RUM tools. The scanner will generate a positive result if these specific artifacts are found within the application's frontend code. This approach allows for non-intrusive monitoring and discovery of RUM technologies within web applications. Consequently, it provides a clear picture of the deployment status of monitoring tools.

Exploitation of the detected vulnerability might lead to potential exposure of sensitive application metrics or alteration of monitoring data. Understanding the deployment of RUM can also aid in discerning technology stack details which could be exploited. A potential adversary armed with this knowledge might execute pinpointed attacks on web analytics. Misconfigured RUM deployments could inadvertently disclose browser and user environment data. Ensuring security in RUM frameworks is crucial to prevent leakage of operational monitoring data to unauthorized entities. Consequently, detecting and analyzing such integrations is pivotal for maintaining a high standard of application security.

REFERENCES

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