Email Spam Manager v3.0 (a.k.a. Spam Killer) is a comprehensive desktop application built with .NET 10 and WPF that provides intelligent, automated spam control for Microsoft Outlook users. Written by John Fisher of Unidec, the application integrates directly with Outlook to fetch emails into a local SQLite database and subjects them to a sophisticated three-tier detection engine combining Bayesian probabilistic classification, heuristic pattern analysis, and deterministic rule-based phrase matching — with all scores combined using a Fisher method for high-accuracy classification. The application is organized into seven functional modules accessible via a tabbed interface:
Spam Manager tab serves as the main email review and action center, where users can filter, sort, train the classifier, and move messages to Junk.
Unsubscribe tab automates the tedious process of identifying and processing unsubscribe links in marketing emails, respecting whitelisted senders.
Whitelist Management tab lets users protect trusted senders and domains from ever being flagged.
Token Management tab gives visibility into the Bayesian classifier’s learned word tokens, with tools to prune low-quality entries.
Statistics tab provides analytics across spam rates, domain activity, processing run history, and classifier performance
Settings tab exposes fine-grained control over thresholds, fetch ranges, AutoRun scheduling, and processing behavior
Database Maintenance tab allows the user to inspect table sizes, vacuum the database, clear run history, and manage stored data. Supporting features include a configurable AutoRun timer for fully automated scheduled processing, context-sensitive F1 help documentation, a splash screen on startup, and a complete audit trail of every processing run — making Email Spam Manager v3.0 a powerful, self-improving tool for keeping an Outlook inbox clean with minimal manual intervention.
