AI Can Hacked: Web Hacking with AI represents the fourth book in the revolutionary AI Can Hacked series, focusing specifically on web application security assessment enhanced with artificial intelligence. This comprehensive guide provides cybersecurity professionals with advanced techniques for web security testing, vulnerability assessment, and AI-enhanced analysis. The book covers 14 comprehensive chapters including web reconnaissance methodology, technology fingerprinting, CMS and framework detection, WAF and CDN identification, directory discovery, header analysis, OWASP ZAP integration, vulnerable application testing, and advanced web hacking techniques. Features include 9 hands-on laboratory exercises with Docker-based vulnerable applications (OWASP Juice Shop, DVWA, WebGoat, Mutillidae), 28+ AI co-pilot prompts for enhanced learning, and comprehensive MCP server integration for automated security analysis. Perfect for cybersecurity professionals, penetration testers, web application security specialists, and anyone seeking to master AI-enhanced web security assessment techniques.
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