Block 1 - Gmail Trigger
- Type / Role
- n8n-nodes-base.gmailTrigger - gmailTrigger
- Config choices
- Version 1.2
This workflow is provided as-is. Please review and test before using in production.
Analyze & Sort Suspicious Email Contents with ChatGPT and Jira Who is this for? This workflow is tailored for IT security teams, managed service providers (MSPs), and organizations aiming to stream...
n8n-nodes-base.gmailtrigger, n8n-nodes-base.microsoftoutlooktrigger, n8n-nodes-base.httprequest, n8n-nodes-base.set, n8n-nodes-base.code, @n8n/n8n-nodes-langchain.openai, n8n-nodes-base.jira, n8n-nodes-base.converttofile
This workflow is cataloged by N8N Workflows and links back to its original n8n.io source page by Angel Menendez.
Original n8n.io sourceThis workflow is tailored for IT security teams, managed service providers (MSPs), and organizations aiming to streamline the detection and reporting of phishing emails. It's especially useful for teams handling high email volumes and requiring quick, automated analysis.
Phishing emails pose a significant cybersecurity threat, and manual review processes are time-consuming and prone to human error. This workflow automates the identification of malicious emails, provides AI-driven insights, and generates structured reports, enabling faster and more efficient responses to email-based threats.
This workflow integrates Gmail or Microsoft Outlook to monitor and capture incoming emails. It processes the email content and headers, converts the email's body to a visual screenshot for clarity, and uses ChatGPT's advanced AI to analyze the email for phishing indicators. Based on the analysis, it categorizes emails as potentially malicious or benign, creating detailed Jira tickets for each case. Attachments, including the email body and screenshots, are automatically uploaded for comprehensive reporting.
Key steps include:
hcti.io) and OpenAI.This workflow is ideal for automating email threat detection, reducing response times, and enhancing overall cybersecurity processes. By leveraging AI-powered insights, it helps organizations stay ahead of phishing attacks.
This catalog entry is organized from the workflow JSON. The node-level section below shows the executable blocks available for review before importing the template.
Showing the first 24 of 25 workflow blocks. Download the JSON for the full node graph.
| Workflow | Analyze & sort suspicious email contents with ChatGPT |
|---|---|
| Complexity | advanced |
| Nodes | 25 |
| Categories | SecOps, AI Summarization |
| Author | Angel Menendez |
| Published | 21 Dec 2024 |
Use the JSON export at /data/workflows/2666/2666.json as the source template for this automation.
Open n8n, import the downloaded JSON, and review each node before activating the workflow.
Replace placeholder credentials, API keys, webhook URLs, account IDs, and environment-specific values with your own settings.
Run the workflow manually or in a staging workspace, inspect node output, and confirm downstream systems receive the expected data.
Enable the workflow only after testing, then monitor executions, errors, and rate limits during the first production runs.
Review imported nodes carefully before activation. This catalog entry is intended to help you inspect the workflow structure, understand required services, and find related templates faster.
Node names, credentials, schedules, webhook paths, and external service limits may need adjustment for your workspace.
Analyze & Sort Suspicious Email Contents with ChatGPT and Jira Who is this for? This workflow is tailored for IT security teams, managed service providers (MSPs), and organizations aiming to stream...
Review the workflow JSON, configure any required credentials in n8n, and test the automation in a safe workspace before using it in production.
Yes. Use the block-by-block analysis and the downloadable JSON to inspect each node, then adjust credentials, prompts, schedules, filters, or destinations for your SecOps, AI Summarization use case.