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low·Information Scans·Updated Sep 26, 2026

FlowFuse Detection Scanner

This scanner detects the use of FlowFuse in digital assets. It aids in identifying the presence of FlowFuse by checking specific indicators in the web assets, ensuring visibility of this application within the digital infrastructure.

Est. Time~10 seconds
Scan TypeGroup Scan
Targetsurl
CostFree
3
Times Used
continuous scan runs
3.4k
Continuously Checked
assets under CS
0
Vulnerabilities Found
confirmed findings
References
Detail

FlowFuse is widely utilized in industrial settings and is an application platform built around Node-RED. This software is crucial for edge data collection and integration, offering operational workflows. It is employed by industries looking to improve their data gathering capabilities and integrate seamlessly with other systems. The application helps in automating operational processes, thereby increasing efficiency and reducing human error. Companies that deal with Internet of Things (IoT) solutions often rely on FlowFuse for its robust capabilities. The platform can be integrated with various devices to ensure optimized data processing at the edge.

The scanner primarily detects the FlowFuse platform in web assets by identifying key elements and signatures associated with its presence. It checks for unique content and identifiers in the body of HTTP responses that indicate the presence of FlowFuse. By identifying systems utilizing FlowFuse, organizations can manage the application more effectively. Detection also aids in cataloging where FlowFuse is operational across different environments. Knowing where FlowFuse is active helps in ensuring compatibility and security compliance across digital assets. The detection process is crucial for maintaining an updated inventory of applications within an organization's infrastructure.

Detection involves sending HTTP requests and analyzing the responses for specific markers, such as titles or body content unique to FlowFuse. These include HTML tags, distinct phrases, or status codes that signal the presence of FlowFuse. The request is typically a GET method, focusing on known endpoints that are likely to reveal the platform. The matcher conditions are configured to identify certain patterns, combining word and status matchers to ensure accuracy. The method ensures minimal false positives by cross-verifying multiple response elements indicative of FlowFuse. By consistently matching these elements, the scanner offers reliable detection of the FlowFuse application.

An undetected presence of the FlowFuse platform within assets could lead to several potential issues. Unauthorized use or manipulation of FlowFuse could expose sensitive data flows and operational workflows to risk. Failure to detect can result in unmitigated vulnerabilities, leading to exploit threats. An unknown instance of FlowFuse might not be adequately patched or secured, opening the door to security breaches. The inadvertent exposure of the application can also result in non-compliance with data protection regulations. Accurate detection is thus essential to safeguarding industrial processes and ensuring the integrity of data operations.

REFERENCES

Solution Advice

Remediation:

  • Regularly audit and document the deployment locations of FlowFuse within your environment.
  • Enhance security postures by configuring FlowFuse access controls and monitoring for unauthorized use.
  • Implement alert systems for unusual usage patterns or configurations within FlowFuse
  • Keep the platform updated with the latest security patches and updates from the vendor.
  • Consistently enforce cybersecurity policies and integrate them into the FlowFuse deployment strategy.
  • Regularly educate your IT team on potential security risks related to industrial applications like FlowFuse.

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