As part of a summer student project, this initiative aims to collect real-world examples of social engineering attacks - including phishing, vishing, and smishing - from various online sources such as websites, emails, and public reports. The primary objective is to compile a diverse dataset of attack scenarios and conduct an initial analysis using machine learning techniques. The project will progress through three key phases: data collection, preliminary spam detection modeling, and, if time allows, deeper pattern identification to uncover hidden trends and attack strategies.