AI Email Spam Likelihood Analyzer

How the Spam Analyzer Works

This tool estimates the likelihood that an email is spam by analyzing header fields and body text features (e.g., suspicious terms, sender anomalies, link patterns). It uses a machine-learning model trained on public corpora and is tuned for consumer-style messages.

Results are probabilistic and may be wrong. When in doubt, verify the sender domain, hover links before clicking, and avoid opening unexpected attachments. For sensitive or regulated scenarios, use an enterprise-grade security solution.

Model Inputs & Limits

The analyzer considers token frequencies, common spam indicators, and heuristic signals extracted from the .eml file. Extremely short emails or image-only messages may yield unreliable scores. We do not store uploaded emails.