WebAssessment

Automate web application penetration testing by orchestrating subdomain enumeration, endpoint discovery, and vulnerability analysis. This process maps attack surfaces and identifies vulnerabilities using AI-driven threat modeling and reconnaissance.

AI-driven threat modeling generates attack scenarios and prioritizes testing based on reconnaissance data. It leverages AI for deep analysis of scan results and complex vulnerability chain detection.

Yes, Shodan is a required dependency for this vulnerability assessment Skill. You must configure your API keys using python-dotenv to enable subdomain enumeration and reconnaissance features.

Yes, AI analysis detects vulnerability chains during security scans by performing deep analysis on scan results. It identifies linked vulnerabilities to map comprehensive attack scenarios.

Map a web application attack surface by automating subdomain enumeration and endpoint discovery. This approach identifies technologies and generates prioritized threat models for vulnerability testing.

Use AI for deep vulnerability analysis to detect complex vulnerability chains that traditional scanning misses. AI orchestrates threat modeling to generate targeted attack scenarios for thorough penetration testing.