The talk reports on an early stage of on-going research on the application of computational semantic techniques to detect phishing, i. e., mass mailings intended to sweep up personal details for later malicious use by the phishers themselves or their potential customers. Our personal experience as targets of phishing has shown that the texts are getting increasingly polished, plausible, and sophisticated, often making it difficult even for humans to tell phishing from bona fide, if unadvised messages. In this talk, we will demonstrate, on a few examples, how Ontological Semantic Technology can help to achieve machine natural language understanding that allows the computer to match and, augmented by the best existing technologies, possibly exceed human ability to detect the meaning-based clues pointing to phishing and to reason accordingly. We will also discuss the problem of automatic phishing detection and share our thoughts on applying the most feasible and promising techniques on a large corpus of phishing emails.