Block 1 - Sticky Note
- Type / Role
- n8n-nodes-base.stickyNote - stickyNote
- Config choices
- Version 1
This workflow is provided as-is. Please review and test before using in production.
Workflow Purpose The workflow is designed to scan submitted URLs using urlscan.io and VirusTotal, combine the results into a single structured summary, and send the report via Telegram. I built thi...
n8n-nodes-base.stickynote, n8n-nodes-base.httprequest, n8n-nodes-base.telegram, n8n-nodes-base.telegramtrigger, n8n-nodes-base.googlesheets, @n8n/n8n-nodes-langchain.agent, @n8n/n8n-nodes-langchain.lmchatopenai, @n8n/n8n-nodes-langchain.memorybufferwindow
This workflow is cataloged by N8N Workflows and links back to its original n8n.io source page by Michael Gullo.
Original n8n.io sourceThe workflow is designed to scan submitted URLs using urlscan.io and VirusTotal, combine the results into a single structured summary, and send the report via Telegram.
I built this workflow for people who primarily work from their phones and receive a constant stream of emails throughout the day. If a user gets an email asking them to sign a document, review a report, or take any action where the link looks suspicious, they can simply open the Telegram bot and quickly check whether the URL is safe before clicking it.
1. Input / Trigger
2. VirusTotal Scan
3. urlscan.io Scan
4. Error Handling with Code Node
5. Summary Generation
6. Telegram Output
Telegram
urlscan.io
Virustotal
This workflow is designed to be highly customizable, allowing users to adapt it to their specific needs and use cases. For example, additional malicious website scanners can be integrated through HTTP Request nodes. To make this work, the user simply needs to update the Merge node so that all information flows correctly through the workflow.
In addition, users can connect either Gmail or Outlook nodes to automatically test URLs, binary attachments, and other types of information received via email—helping them evaluate data before opening it.
Users can also customize how they receive reports. For instance, results can be sent through Telegram (as in the default setup), Slack, Microsoft Teams, or even saved to Google Drive or a Google Sheet for recordkeeping and audit purposes.
For consulting and support, or if you have questions, please feel free to connect with me on Linkedin or via email.
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.
| Workflow | Check suspicious links via Telegram with GPT-4 analysis of VirusTotal & urlscan.io results |
|---|---|
| Complexity | intermediate |
| Nodes | 13 |
| Categories | SecOps, Multimodal AI |
| Author | Michael Gullo |
| Published | 26 Aug 2025 |
Use the JSON export at /data/workflows/7926/7926.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.
Workflow Purpose The workflow is designed to scan submitted URLs using urlscan.io and VirusTotal, combine the results into a single structured summary, and send the report via Telegram. I built thi...
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, Multimodal AI use case.