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Adaptive reconnaissance reverse-engineers JS bundles to extract configurations, API keys, and secrets. It analyzes bundled JavaScript code to surface hidden entry points and reduce blind spots in web app security assessments.

Mapping the attack surface of a single-page app involves using threat modeling to identify endpoints and configurations. This approach applies reverse-engineering techniques to JS bundles to produce a structured map of application entry points.

Threat modeling for entry point discovery uses adaptive reconnaissance to surface unknown patterns. By analyzing target web applications and their JavaScript bundles, it generates structured results detailing discovered endpoints and attack-surface exposure.

This reconnaissance specifically adapts to JS-bundled web apps to extract configurations. It applies threat modeling to map assets and entry points, producing structured results that guide subsequent security testing phases effectively.

Adaptive reconnaissance for endpoint discovery is limited to analyzing JS-bundled apps and their configurations. It relies on reverse-engineering techniques to map the attack surface, meaning non-JS targets may not yield structured endpoint results.