SafeMailer Tools: A Secure Email Filtering Gateway

Abstract

SafeMailer is an intelligent email filtering gateway designed to enhance organizational security against spam messages, phishing emails, and malicious software. The project is built on a multi-layered architecture that combines sender identity verification using SPF, DKIM, and DMARC protocols, statistical classification through the Bayes classifier, attachment scanning using ClamAV, and threat similarity detection through Fuzzy Hashing. In addition, the system employs the DistilBERT model as an artificial intelligence layer for semantic analysis of email content. The system also provides an administrative web interface for monitoring results, managing policies, and retraining classifiers, which contributes to improving detection efficiency, reducing false positives, and continuously enhancing overall system performance.