Explore machine learning techniques for phishing detection in this 32-minute conference talk from BSidesLV 2019. Delve into common phishing attacks, manual detection efforts, and behavioral metrics before discovering a more effective approach using data sources, textual and visual analysis, and email and website classification. Learn about phishing datasets, repositories, and tools for data collection, as well as URL extraction techniques. Examine deployment strategies, content reputation, and statistically significant coefficients in modeling. Gain insights into assumptions, future work, and conclusions in the field of phishing detection, followed by a Q&A session and model discussion.