How do mailbox providers detect malicious messages?

Detection combines multiple techniques. Authentication verification (SPF, DKIM, DMARC) identifies spoofed senders. Reputation assessment evaluates sender history. Content analysis examines message text, links, and attachments for threat indicators.

Machine learning models identify patterns associated with malicious messages: linguistic characteristics, structural elements, and behavioral signals. These models continuously learn from new threats and user feedback.

Real-time intelligence feeds provide current threat data: known malicious URLs, active **phishing** campaigns, and emerging attack patterns. MBPs combine internal detection with shared threat intelligence for comprehensive coverage.