Treffer: Evolution of Automated Penetration Testing: Toolchains, Integration Strategies, and Operational Challenges.

As organizations become increasingly reliant on digital infrastructure, their exposure to cyber threats escalates. Penetration testing (PT) is vital for identifying vulnerabilities and strengthening security frameworks. This study explores the evolution of automated penetration testing (APT), analyzing its advantages over traditional manual methods in terms of scalability, efficiency, and consistency. The core contribution of this work is the development of a Python-based graphical user interface (GUI) platform that seamlessly integrates leading APT tools—such as OWASP ZAP, Burp Suite, Vega, and FOCA—into a unified, customizable environment. This integrated approach improves detection accuracy, optimizes multi-tool workflows, and enhances user experience. The system also includes robust vulnerability classification, live scanning feedback, and advanced reporting features. A comprehensive taxonomy of 75+ web-based vulnerabilities is curated and used to evaluate tool capabilities, highlighting strengths in automated detection and limitations in logic-driven exploits. The findings emphasize that such integrated platforms can empower cybersecurity teams by automating routine testing, reducing manual load, and supporting continuous security validation. This research presents a significant step toward scalable, user-centric cybersecurity solutions suitable for evolving digital landscapes. [ABSTRACT FROM AUTHOR]

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