This research investigates the integration of large language models (LLMs) with traditional program analysis methodologies to enhance vulnerability detection in open-source software repositories. By leveraging advanced reasoning capabilities of LLMs alongside static and dynamic analysis tools, the project aims to systematically identify security flaws that conventional approaches frequently miss.