surface-mapping

Automated subdomain enumeration and live host discovery are executed through a deterministic pipeline that merges assets from multiple sources into a single surface map. This workflow enforces modular steps and safe defaults to generate a prioritized list of targets ready for hunting.

Mapping a web2 attack surface requires discovering subdomains, identifying live hosts, and collecting URLs. By integrating URL crawling and JS analysis, this approach stitches together multiple reconnaissance stages to produce a cohesive, repeatable asset map for efficient hunting.

JavaScript analysis is applied during URL collection to surface potential attack surfaces hidden in client-side code. It functions as a modular step within the reconnaissance pipeline, extracting endpoints and insights to enrich the final prioritized asset map.

Yes, the surface mapping pipeline operates with no external dependencies, relying on safe defaults and deterministic task sequencing. It is designed to integrate external tools and pipelines natively when needed, but functions standalone for initial asset discovery.

Running the standard surface-mapping pipeline against a target domain produces a prioritized list of assets including subdomains, live hosts, and URLs. This automated workflow gathers data from multiple sources and merges the results into a single map ready for hunting.

Automated asset discovery focuses on web2 targets and generates a prioritized surface map, but requires subsequent manual or pipeline-driven analysis for deeper vulnerabilities. Directory fuzzing and JS analysis provide endpoint coverage, but complex logic flaws remain outside its scope.