Who is this workflow for? This n8n workflow analyzes email headers received via a webhook to detect IP addresses and potential spoofing attempts. It efficiently extracts relevant header information, evaluates authentication results, and aggregates the data for comprehensive analysis..

What does this workflow do?

  • Webhook Trigger: The workflow is initiated when an email is received via a configured webhook.
  • Header Analysis Path Selection:
  • Received Headers Path:
    • Extract IP Addresses: Parse the email headers to identify all IP addresses listed in the received headers.
    • IP Quality Score API Query: For each extracted IP, send a request to the IP Quality Score API to obtain fraud scores, abuse history, organization details, and more.
    • Geolocation Data Retrieval: Use the IP-API to get geolocation information for each IP address.
    • Data Aggregation: Compile all gathered information related to each IP address for further analysis.
  • Authentication Results Path:
    • Extract Authentication Headers: Identify and extract SPF, DKIM, and DMARC authentication results from the email headers.
    • Evaluate Authentication: Assess each authentication result, categorizing them as pass, fail, or neutral.
    • Field Setting: Update relevant fields based on the evaluation of SPF, DKIM, and DMARC results.
  • Merge Results: Combine the data from both paths to form a unified analysis of the email headers.
  • Response to Webhook: Send the aggregated analysis back through the original webhook, providing detailed IP information and authentication outcomes.
  • Integration with Other Services:
  • Google Sheets & Google Drive: Store and manage the analyzed data for record-keeping and further processing.
  • Slack Notifications: Alert relevant teams or individuals about the analysis results via Slack.
  • TheHive & Cortex: Integrate with incident response platforms for automated threat handling based on the analysis.
  • Additional Integrations: Utilize HTTP Requests and other tools to extend the workflow’s functionality as needed.

🤖 Why Use This Automation Workflow?

  • Enhanced Security: Identify and assess the legitimacy of email sources by analyzing IP addresses and authentication results.
  • Automated Analysis: Streamline the process of dissecting email headers, reducing manual effort and minimizing errors.
  • Comprehensive Insights: Gather detailed information from multiple APIs to understand IP reputation and geolocation alongside authentication statuses.

👨‍💻 Who is This Workflow For?

This workflow is ideal for IT security professionals, email administrators, and organizations looking to safeguard their email communications. It suits those who need to monitor and verify the authenticity of incoming emails to prevent phishing and spoofing attacks.

🎯 Use Cases

  1. Phishing Detection: Automatically analyze incoming emails to identify suspicious IP addresses and authentication failures, helping to prevent phishing attempts.
  2. Spam Filtering Enhancement: Improve spam filters by incorporating detailed IP reputation scores and authentication results into decision-making processes.
  3. Compliance Monitoring: Ensure that incoming emails comply with organizational policies and authentication standards by regularly evaluating SPF, DKIM, and DMARC results.

TL;DR

This n8n workflow automates the analysis of email headers to identify IP addresses and evaluate authentication results, providing a robust solution for detecting spoofing and enhancing email security. By integrating with various APIs and platforms, it delivers comprehensive insights and facilitates proactive threat management.

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