Goliath Technology Detection Scanner
This scanner detects the use of Goliath in digital assets.
Short Info
Level
Informational
Single Scan
Single Scan
Can be used by
Asset Owner
Estimated Time
10 seconds
Time Interval
10 days 4 hours
Scan only one
URL
Toolbox
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Goliath is a non-blocking Ruby web server framework, primarily used by developers and engineers building high-performance web applications. It is designed for managing multiple concurrent connections efficiently and is used in situations where event-driven architecture is preferred. Commonly deployed in enterprises and startups, Goliath is chosen for its speed and scalability in handling web requests. Its users appreciate the simplicity and elegance provided by the Ruby language combined with the power of asynchronous processing. Goliath's attributes make it suitable for serving APIs, websockets, and more complex web services. The framework is an asset in environments that prioritize low latency and high concurrency.
Technology Detection refers to identifying specific software or frameworks that are in use within a web application infrastructure. This type of detection enables security professionals and developers to grasp the technological environment of their web assets. By identifying technologies, this detection helps in pinpointing areas that might require patching or updating. It also aids in understanding the web application's architecture, informing decisions about security and optimization. Knowing the technology stack is crucial for maintaining security and performance. Ultimately, this detection method serves to enhance the understanding of application security risks.
The scanner checks for Goliath's presence by inspecting the HTTP headers returned by a server. It specifically searches for the "Server" header that includes the text "Goliath," indicating that the web server framework is active. This type of detection is passive and does not interact with the server beyond inspecting the response headers. The scanning process leverages regular expressions to match specific patterns within the headers. The detection is accurate and focused, ensuring that Goliath's use is correctly identified without generating invasive interactions. This technical approach provides essential insights with minimal resource usage.
Possible effects of detecting Goliath include understanding the environment and potential vulnerabilities associated with running Goliath. Identifying Goliath in an environment suggests a need to monitor for framework-specific vulnerabilities or updates. Timely detection can lead to better maintenance schedules and proactive vulnerability management. In environments lacking rigorous security practices, awareness of the technology stack can be crucial for planning defensive measures. This detection can be part of a larger strategy to minimize risk and ensure the framework is up to date with security patches. Awareness also aids in compliance and security audits.
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