Master's thesis addressing phishing & smishing detection in Spanish-language text messages and URLs. Combines a lightweight TF-IDF classifier, a rule-based URL analysis module (17 features), and an LLM-powered conversational explainability layer — designed to work on partial inputs and generate citizen-readable risk explanations.
M.Sc. Cybersecurity · Universidad de Alcalá · 2026
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Deployed Sangfor Endpoint Secure on 2 real companies in Cochabamba over 2 months. Identified 234 malware instances, 2 APT-level indicators, and trojans as the dominant threat vector (60.94%), primarily introduced through illegal software activators.