Dashy Panel Detection Scanner

This scanner detects the use of Dashy Panel in digital assets. It accurately identifies instances where Dashy Panel is deployed to assist in managing dashboard functionalities.

Short Info


Level

Medium

Single Scan

Single Scan

Can be used by

Asset Owner

Estimated Time

10 seconds

Time Interval

17 days 15 hours

Scan only one

URL

Toolbox

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Dashy Panel is a customizable and comprehensive dashboard manager widely used by teams and organizations to consolidate and provide access to diverse web resources and services in one convenient location. Primarily utilized by IT teams, developers, and tech enthusiasts, Dashy helps in efficiently managing and navigating web applications. This powerful tool is employed to streamline workflows, improve accessibility to frequently used tools, and facilitate quick interactions with essential applications. It’s especially favored by those who need a unified view of multiple dashboards or applications within professional or industrial settings. Moreover, Dashy's customizable nature allows its users to integrate it into various environments seamlessly, offering flexible utility for enhancing productivity.

The vulnerability detected by this scanner identifies the presence of Dashy Panel on web assets, which might indicate potential security configurations to be adjusted. As a panel detection tool, it reveals instances where the Dashy Panel framework is utilized, assisting in identifying configurations that might pose security concerns if left unaddressed. Recognizing panel implementations on an organization's digital assets is crucial for security auditing and risk assessment. This vulnerability is about uncovering misconfigurations and identifying that Dashy has been deployed, aiding organizations in evaluating their exposure. An effective detection mechanism ensures that companies are aware of potential weak spots related to Dashy's deployment.

The technical details involved in detecting this vulnerability center around examining HTTP response bodies for specific markers unique to Dashy Panel instances. The scanner reviews web content for key identifiers, such as specific HTML titles and image paths that are signatures of Dashy. By matching these identifiers with known Dashy signatures, the scanner efficiently confirms its presence, enabling security professionals to assess their configuration. The detection process also involves verifying the HTTP status code to ensure successful interactions with the suspected Dashy deployment. Understanding these details helps technologists grasp how their Dashy deployments could be identified externally and stresses the need for proper security measures.

Exploiting this vulnerability by malicious actors could lead to unauthorized access to the Dashy configuration, manipulation of dashboards, or exposure of sensitive information managed via Dashy. Attackers leveraging this information might attempt to access further systems, escalating privileges within the network if Dashy serves important administrative functions. In potential exploitation scenarios, the security of integrated applications and underlying data could be compromised, leading to broader attacks. Such exposure might result in data breaches or unauthorized management actions across connected dashboards. Therefore, ensuring Dashy deployments are securely configured is vital to preventing exploitations stemming from this vulnerability.

REFERENCES

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