BreachBuster AI Pentesting Assistant / (Record no. 610454)
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| 000 -LEADER | |
|---|---|
| fixed length control field | 02030nam a22001697a 4500 |
| 003 - CONTROL NUMBER IDENTIFIER | |
| control field | NUST |
| 082 ## - DEWEY DECIMAL CLASSIFICATION NUMBER | |
| Classification number | 005.8,USM |
| 100 ## - MAIN ENTRY--PERSONAL NAME | |
| Personal name | Usman, M. Umar |
| 9 (RLIN) | 124650 |
| 245 ## - TITLE STATEMENT | |
| Title | BreachBuster AI Pentesting Assistant / |
| Statement of responsibility, etc. | GC M. Umar Usman, GC M. Yawar Naseem, GC Satti Saad Sultan. |
| 260 ## - PUBLICATION, DISTRIBUTION, ETC. | |
| Place of publication, distribution, etc. | MCS, NUST |
| Name of publisher, distributor, etc. | Rawalpindi |
| Date of publication, distribution, etc. | 2024 |
| 300 ## - PHYSICAL DESCRIPTION | |
| Extent | xi, 79 p |
| 505 ## - FORMATTED CONTENTS NOTE | |
| Formatted contents note | 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.<br/>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.<br/>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. |
| 650 ## - SUBJECT ADDED ENTRY--TOPICAL TERM | |
| Topical term or geographic name entry element | UG BEIS |
| 9 (RLIN) | 124639 |
| 651 ## - SUBJECT ADDED ENTRY--GEOGRAPHIC NAME | |
| Geographic name | BEIS-01 |
| 9 (RLIN) | 124643 |
| 700 ## - ADDED ENTRY--PERSONAL NAME | |
| Personal name | Supervisor Maj Bilal Ahmed |
| 9 (RLIN) | 124651 |
| 942 ## - ADDED ENTRY ELEMENTS (KOHA) | |
| Source of classification or shelving scheme | |
| Koha item type | Project Report |
| Withdrawn status | Lost status | Source of classification or shelving scheme | Damaged status | Not for loan | Permanent Location | Current Location | Shelving location | Date acquired | Total Checkouts | Full call number | Barcode | Date last seen | Price effective from | Koha item type |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| Military College of Signals (MCS) | Military College of Signals (MCS) | General Stacks | 07/20/2024 | 005.8,USM | MCSPIS-6 | 07/20/2024 | 07/20/2024 | Project Report |