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@article{179850,
        author = {Vishwa. V and Magna},
        title = {Auto-Pen-testing using LLM},
        journal = {International Journal of Innovative Research in Technology},
        year = {2025},
        volume = {11},
        number = {12},
        pages = {8842-8846},
        issn = {2349-6002},
        url = {https://ijirt.org/article?manuscript=179850},
        abstract = {The project aims to simplify cybersecurity testing for students and professionals by automating vulnerability discovery and reporting in real-time. A significant focus of this study is the application of LLMs in a real-time, automated penetration testing scenario. The system accepts instructions in natural English, dynamically invokes tools like Nmap and Nikto, and utilizes LLM intelligence to interpret scan results and generate security recommendations, where the system not only detects vulnerabilities but also evaluates the potential impact of these security flaws through an extensive knowledge base.},
        keywords = {Penetration Testing, ollama Mistral, N-map, Nikto, KALI-LINUX, Natural Language.},
        month = {May},
        }