BreachBuster AI Pentesting Assistant / GC M. Umar Usman, GC M. Yawar Naseem, GC Satti Saad Sultan.

By: Usman, M. UmarContributor(s): Supervisor Maj Bilal AhmedMaterial type: TextTextPublisher: MCS, NUST Rawalpindi 2024Description: xi, 79 pSubject(s): UG BEIS | BEIS-01DDC classification: 005.8,USM
Contents:
The "BreachBuster AI Pentesting Assistant" is a pioneering project aimed at revolutionizing the field of cybersecurity and penetration testing. This project introduces an innovative chatbot solution powered by the NLTK Python library, specifically designed to assist users in conducting comprehensive penetration tests on web applications. Unlike existing tools that often require significant expertise and lack tailored guidance, our chatbot offers a user-friendly interface and step-by-step instructions, making it accessible even to individuals with limited penetration testing knowledge. The core functionality of the chatbot includes database integration through APIs, where it retrieves information on web technologies and vulnerabilities to provide accurate assessments. By leveraging machine learning algorithms for natural language processing, the chatbot can understand user queries, help analyze web application technologies, and recommend specific payloads and scripts to check for vulnerabilities effectively. This project addresses the challenges of complexity, resource intensiveness, and rapid technology changes in web security by providing a guided approach to penetration testing. The deliverables include a fully functional chatbot interface, customized payloads and scripts, and detailed reports outlining identified vulnerabilities. The "BreachBuster AI Pentesting Assistant" aims to empower security professionals and organizations with an efficient and effective tool for enhancing the security posture of their systems.
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Item type Current location Home library Shelving location Call number Status Date due Barcode Item holds
Project Report Project Report Military College of Signals (MCS)
Military College of Signals (MCS)
General Stacks 005.8,USM (Browse shelf) Available MCSPIS-6
Total holds: 0

The "BreachBuster AI Pentesting Assistant" is a pioneering project aimed at revolutionizing the field of cybersecurity and penetration testing. This project introduces an innovative chatbot solution powered by the NLTK Python library, specifically designed to assist users in conducting comprehensive penetration tests on web applications. Unlike existing tools that often require significant expertise and lack tailored guidance, our chatbot offers a user-friendly interface and step-by-step instructions, making it accessible even to individuals with limited penetration testing knowledge.
The core functionality of the chatbot includes database integration through APIs, where it retrieves information on web technologies and vulnerabilities to provide accurate assessments. By leveraging machine learning algorithms for natural language processing, the chatbot can understand user queries, help analyze web application technologies, and recommend specific payloads and scripts to check for vulnerabilities effectively.
This project addresses the challenges of complexity, resource intensiveness, and rapid technology changes in web security by providing a guided approach to penetration testing. The deliverables include a fully functional chatbot interface, customized payloads and scripts, and detailed reports outlining identified vulnerabilities. The "BreachBuster AI Pentesting Assistant" aims to empower security professionals and organizations with an efficient and effective tool for enhancing the security posture of their systems.

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