(5/5)

Analyze_email_headers_for_IPs_and_spoofing__3

Automated workflow: AnalyzeemailheadersforIPsandspoofing3. This workflow integrates 11 different services: webhook, stickyNote, itemLists, httpRequest, code. It contains 43 nodes and follows best practices for error handling and security.

Integrations Used (2)

Webhook

HTTP Request

Workflow Structure (27 nodes)

100%

Webhook

Receive Headers

Set

Extract Email Header from webhook

Code

Explode Email Header

Received Headers Present?

Authentication Results Present?

Code

SPF/DKIM/DMARC from "authentication-results"

Code

Extract IPs from "received"

Item Lists

Split Out IPs

Http Request

IP Quality Score

Http Request

IP-API

Code

Fraud Score

Set

Collect interesting data

Merge

IP Data Merge

Item Lists

Join IP Analysis into one JSON object

Merge

Merge Security Data

Item Lists

Join results into one JSON object

Respond To Webhook

Respond to Webhook

Code

SPF from "received-spf"

Switch

SPF Authentication Checker

Code

DKIM from "dkim-signature"

Set

Set SPF Pass Status

Set

Set SPF Fail Status

Set

Set SPF Neutral Status

Set

Set SPF UnknownStatus

Code

DMARC from "received-dmarc"

Switch

DKIM

Set

Aggregate Authentication Data

Node Types:

trigger

code

default

http

transform

logic

Requires credentials

Prerequisites

No credentials required!

This workflow can be imported and used immediately.

Complexity

Advanced

Expert level. Custom code, complex logic, many integrations.

Setup time: ~35 min

Score: 63/100

Custom Code

Conditional Logic

4 Integrations

When to Use This Workflow

Real-time Response

React instantly when events happen - new orders, form submissions, or API calls.

Zero delay between trigger and action for time-sensitive workflows.

Time Savings

Replace repetitive manual tasks with reliable automation.

Reclaim hours every week for higher-value work.

Error Reduction

Eliminate human error from routine processes with consistent automation.

Improve accuracy and reliability across your workflows.

workflow.json

{
  "id": "3tJcVzt2OqeyjfnH",
  "meta": {
    "instanceId": "workflow-23594b5c",
    "versionId": "1.0.0",
    "createdAt": "2025-09-29T07:07:43.033818",
    "updatedAt": "2025-09-29T07:07:43.033832",
    "owner": "n8n-user",
    "license": "MIT",
    "category": "automation",
    "status": "active",
    "priority": "high",
    "environment": "production"
  },
  "name": "Analyze_email_headers_for_IPs_and_spoofing__3",
  "tags": [
    "automation",
    "n8n",
    "production-ready",
    "excellent",
...