This article provides a complete, practical walkthrough of the Wait Code Automation Scheduled n8n agent. It connects HTTP Request, Webhook across approximately 1 node(s). Expect a Intermediate setup in 15-45 minutes. One‑time purchase: €29.

What This Agent Does

This agent orchestrates a reliable automation between HTTP Request, Webhook, handling triggers, data enrichment, and delivery with guardrails for errors and rate limits.

It streamlines multi‑step processes that would otherwise require manual exports, spreadsheet cleanup, and repeated API requests. By centralizing logic in n8n, it reduces context switching, lowers error rates, and ensures consistent results across teams.

Typical outcomes include faster lead handoffs, automated notifications, accurate data synchronization, and better visibility via execution logs and optional Slack/Email alerts.

How It Works

The workflow uses standard n8n building blocks like Webhook or Schedule triggers, HTTP Request for API calls, and control nodes (IF, Merge, Set) to validate inputs, branch on conditions, and format outputs. Retries and timeouts improve resilience, while credentials keep secrets safe.

Third‑Party Integrations

• HTTP Request
• Webhook

Import and Use in n8n

1. Open n8n and create a new workflow or collection.
2. Choose Import from File or Paste JSON.
3. Paste the JSON below, then click Import.
4. Show n8n JSON

   Title:  
   Automated Phishing Email Analysis Using n8n, VirusTotal, and URLScan.io
   
   Meta Description:  
   Discover how to build an automated email phishing detection workflow using n8n, VirusTotal, and URLScan.io. This step-by-step system scans unread Outlook emails, extracts URLs, performs threat intelligence lookups, and alerts your team via Slack.
   
   Keywords:  
   phishing detection, n8n, VirusTotal, URLScan.io, email security, automation, threat intelligence, Outlook integration, Slack alerts, cybersecurity workflow
   
   Third-party APIs Used:
   
   - Microsoft Outlook API (via n8n Microsoft Outlook Node)
   - VirusTotal API
   - URLScan.io API
   - Slack API
   
   Article:
   
   In today's hyper-connected digital environment, phishing emails remain a significant threat vector, compromising individuals and organizations alike. Traditional detection systems often fall short in providing timely, actionable threat intelligence, especially when facing sophisticated or targeted phishing attempts. This is where automation can shine—specifically, automation built with a powerful workflow tool like n8n.
   
   In this article, we explore a robust phishing analysis workflow designed in n8n. It integrates seamlessly with Microsoft Outlook to fetch emails and utilizes both VirusTotal and URLScan.io to scrutinize embedded URLs for malicious intent. The results are compiled and sent to Slack, ensuring your security team gets real-time notifications to respond promptly.
   
   How the Workflow Works
   
   1. Email Retrieval from Outlook  
   At its core, the workflow activates in one of two ways: manually, via an “Execute Workflow” trigger, or automatically, through a scheduled trigger. Once initiated, it connects with Microsoft Outlook to fetch all unread emails. This ensures that only new, potentially unreviewed content is analyzed. After collection, each email is marked as “read” to prevent reprocessing.
   
   2. Processing Emails in Batches  
   To keep the operation efficient and scalable, the workflow leverages n8n’s “Split In Batches” node, allowing it to process one email at a time in an iterative loop. This modular approach aids in isolate and accurately track indicators of compromise (IoCs), particularly malicious URLs.
   
   3. Identifying Indicators of Compromise  
   Using a custom Python script with the ioc-finder library, the body content of each email is parsed to extract URLs, which are common phishing indicators. If an email does not contain any URLs, the workflow skips security scanning steps for that message and proceeds to the next.
   
   4. URL Analysis with URLScan.io  
   If URLs are found, the workflow sends them to URLScan.io for website scanning and structural analysis. A wait time of one minute is built in to give URLScan.io a chance to complete its scanning before fetching the report. A fail-safe “No Error?” check ensures the workflow continues to operate even if the scan fails, preventing a single error from stalling the entire process.
   
   5. Cross-verification Using VirusTotal  
   Simultaneously, URLs are submitted to VirusTotal for reputation and antivirus engine checks. A follow-up node retrieves the scan results, identifying the number of times the URL was flagged as malicious or suspicious by various security engines.
   
   6. Merging Results for Contextual Awareness  
   Once both URLScan.io and VirusTotal analyses are completed, their outputs are merged into one comprehensive report using n8n's "Merge by position" logic. This provides a unified view of threat indicators, significantly improving assessment accuracy.
   
   7. Slack Reporting to Security Teams  
   Before delivering the final report, a filter ensures only verified, actionable data proceeds to the notification stage. The final Slack message sent to a specified channel includes:
   
   - Subject, sender, and timestamp from the original email
   - Direct links to both the URLScan.io and VirusTotal reports
   - A concise verdict indicating the number of red flags raised during the scan
   
   This alert mechanism keeps your SOC (Security Operations Center) informed in real-time and enables proactive incident investigation.
   
   What Makes This Workflow Effective?
   
   - Fully Automated: From fetching to notification, the entire process runs without human intervention.
   - Redundancy Built-in: Error-check nodes prevent complete failure and ensure continuous processing.
   - Actionable Intelligence: By combining VirusTotal and URLScan.io results, the workflow gives a richer context to help prioritize response efforts.
   - Customizable: You can easily reconfigure this workflow to work with different email providers or integrate additional threat intel tools.
   
   Conclusion
   
   This phishing analysis pipeline is a powerful example of how automation can elevate your email security posture. With n8n as the workflow engine and integrations like VirusTotal, URLScan.io, Outlook, and Slack, this system offers a scalable and intelligent solution for identifying and reporting phishing threats in real time.
   
   Whether you're an individual seeking to enhance your own security or an organization looking to reduce risk at scale, workflows like this reduce workload, improve visibility, and drive faster incident response.
   
   Build it, customize it, and keep phishing threats at bay—automatically.

5. Set credentials for each API node (keys, OAuth) in Credentials.
6. Run a test via Execute Workflow. Inspect Run Data, then adjust parameters.
7. Enable the workflow to run on schedule, webhook, or triggers as configured.

Tips: keep secrets in credentials, add retries and timeouts on HTTP nodes, implement error notifications, and paginate large API fetches.

Validation: use IF/Code nodes to sanitize inputs and guard against empty payloads.

Why Automate This with AI Agents

AI‑assisted automations offload repetitive, error‑prone tasks to a predictable workflow. Instead of manual copy‑paste and ad‑hoc scripts, your team gets a governed pipeline with versioned state, auditability, and observable runs.

n8n’s node graph makes data flow transparent while AI‑powered enrichment (classification, extraction, summarization) boosts throughput and consistency. Teams reclaim time, reduce operational costs, and standardize best practices without sacrificing flexibility.

Compared to one‑off integrations, an AI agent is easier to extend: swap APIs, add filters, or bolt on notifications without rewriting everything. You get reliability, control, and a faster path from idea to production.

Best Practices

• Credentials: restrict scopes and rotate tokens regularly.
• Resilience: configure retries, timeouts, and backoff for API nodes.
• Data Quality: validate inputs; normalize fields early to reduce downstream branching.
• Performance: batch records and paginate for large datasets.
• Observability: add failure alerts (Email/Slack) and persistent logs for auditing.
• Security: avoid sensitive data in logs; use environment variables and n8n credentials.

FAQs

Can I swap integrations later? Yes. Replace or add nodes and re‑map fields without rebuilding the whole flow.

How do I monitor failures? Use Execution logs and add notifications on the Error Trigger path.

Does it scale? Use queues, batching, and sub‑workflows to split responsibilities and control load.

Is my data safe? Keep secrets in Credentials, restrict token scopes, and review access logs.