Automated Email Header Analysis for IP Detection and Spoofing Prevention

Overview

This workflow automates the analysis of email headers to identify originating IP addresses and detect potential spoofing attempts. By leveraging multiple nodes, it parses incoming email headers, extracts relevant IPs, and evaluates them for fraud risk and geolocation.

Key Features

• Webhook Integration: Receives email headers via webhook for real-time processing.
• Header Parsing: Splits and analyzes header fields to extract all IP addresses, especially from 'received' lines.
• Fraud & Quality Checks: Integrates with IP Quality Score and IP-API to assess risk and gather geolocation data.
• Authentication Verification: Extracts and verifies SPF, DKIM, and DMARC results from authentication headers.
• Automated Response: Sends structured analysis results back via webhook response.

Benefits

• Enhanced Security: Quickly identifies suspicious IPs and spoofing attempts, reducing risk of phishing.
• Time Savings: Automates a complex, manual process, enabling faster incident response.
• Comprehensive Insights: Provides actionable data on sender authenticity and IP reputation.

Use Cases

• Email security monitoring for IT and security teams.
• Automated triage of suspicious inbound emails.
• Integration with helpdesk or SOC workflows for rapid threat assessment.