Escape DAST Unveils State‑Aware Crawling Algorithm to Enhance Web App Security

Escape DAST has developed a pioneering state‑aware web application crawling algorithm aimed at thoroughly auditing modern web architectures—including SPAs, MPAs, and hybrid systems. Built on a finite‑state machine (FSM) framework, the crawler maps the application’s functional states rather than simply traversing URLs, enabling it to detect both deep and external states intelligently. Through content fingerprinting, action deduplication, and the identification of state transitions, the algorithm avoids redundant exploration while prioritizing high‑risk interactions. It determines state uniqueness by examining DOM structure, visible text, interactive elements, and even API activity, striking a balance between precision and performance. Although methods like DOM hierarchies, hashing, visual snapshots, and AI‑driven detection were explored, Escape chose the most efficient combination to prevent state explosion. The result is more realistic user emulation, optimized scanning efficiency, and crisp, reproducible vulnerability workflows. The platform also auto-generates OpenAPI documentation by analyzing API interactions within the app, delivering synchronized coverage of both frontend workflows and hidden backend endpoints. 

https://securityboulevard.com/2025/06/how-we-built-escape-dasts-proprietary-web-application-crawling-algorithm-and-what-makes-it-innovative/

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