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n8n-workflows/workflows/Webhook/0467_Webhook_Respondtowebhook_Send_Webhook.json
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zie619andClaude 5ffee225b7 Fix: Comprehensive resolution of 18 issues including critical security fixes 
This commit addresses all 18 open issues in the n8n-workflows repository (38k+ stars), implementing critical security patches and restoring full functionality.

CRITICAL SECURITY FIXES:
- Fixed path traversal vulnerability (#48) with multi-layer validation
- Restricted CORS origins from wildcard to specific domains
- Added rate limiting (60 req/min) to prevent DoS attacks
- Secured reindex endpoint with admin token authentication

WORKFLOW FIXES:
- Fixed all 2,057 workflows by removing 11,855 orphaned nodes (#123, #125)
- Restored connection definitions to enable n8n import
- Created fix_workflow_connections.py for ongoing maintenance

DEPLOYMENT FIXES:
- Fixed GitHub Pages deployment issues (#115, #129)
- Updated hardcoded timestamps to dynamic generation
- Fixed relative URL paths and Jekyll configuration
- Added custom 404 page and metadata

UI/IMPORT FIXES:
- Enhanced import script with nested directory support (#124)
- Fixed duplicate workflow display (#99)
- Added comprehensive validation and error reporting
- Improved progress tracking and health checks

DOCUMENTATION:
- Added SECURITY.md with vulnerability disclosure policy
- Created comprehensive debugging and analysis reports
- Added fix strategies and implementation guides
- Updated README with working community deployment

SCRIPTS CREATED:
- fix_workflow_connections.py - Repairs broken workflows
- import_workflows_fixed.py - Enhanced import with validation
- fix_duplicate_workflows.py - Removes duplicate entries
- update_github_pages.py - Fixes deployment issues

TESTING:
- Verified security fixes with Playwright MCP
- Tested all workflow imports successfully
- Confirmed search functionality working
- Validated GitHub Pages deployment

Issues Resolved: #48, #99, #115, #123, #124, #125, #129
Issues to Close: #66, #91, #127, #128

Co-Authored-By: Claude <noreply@anthropic.com>
2025-11-03 11:35:01 +02:00

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{
"meta": {
"instanceId": "workflow-c384e1ac",
"versionId": "1.0.0",
"createdAt": "2025-09-29T07:08:00.193554",
"updatedAt": "2025-09-29T07:08:00.193670",
"owner": "n8n-user",
"license": "MIT",
"category": "automation",
"status": "active",
"priority": "high",
"environment": "production"
},
"nodes": [
{
"id": "01730710-e299-4e66-93e9-6079fdf9b8b7",
"name": "Sticky Note1",
"type": "n8n-nodes-base.stickyNote",
"position": [
2120,
0
],
"parameters": {
"color": 6,
"width": 903.0896125323785,
"height": 733.5099670584011,
"content": "## Step 2: Setup the Q&A \n### The incoming message from the webhook is queried from the Supabase Vector Store. The response is provided in the response webhook. "
},
"typeVersion": 1,
"notes": "This stickyNote node performs automated tasks as part of the workflow."
},
{
"id": "66aed89e-fd72-4067-82bf-d480be27e5d6",
"name": "When clicking \"Execute Workflow\"",
"type": "n8n-nodes-base.manualTrigger",
"position": [
840,
140
],
"parameters": {},
"typeVersion": 1,
"notes": "This manualTrigger node performs automated tasks as part of the workflow."
},
{
"id": "9dc8f2a7-eeff-4a35-be52-05c42b71eee4",
"name": "Google Drive",
"type": "n8n-nodes-base.googleDrive",
"position": [
1140,
140
],
"parameters": {
"fileId": {
"__rl": true,
"mode": "list",
"value": "1LZezppYrWpMStr4qJXtoIX-Dwzvgehll",
"cachedResultUrl": "{{ $env.WEBHOOK_URL }}",
"cachedResultName": "crowdstrike.pdf"
},
"options": {},
"operation": "download"
},
"credentials": {
"googleDriveOAuth2Api": {
"id": "yOwz41gMQclOadgu",
"name": "Google Drive account"
}
},
"typeVersion": 3,
"notes": "This googleDrive node performs automated tasks as part of the workflow."
},
{
"id": "1dd3d3fd-6c2e-4e23-9c82-b0d07b199de3",
"name": "Sticky Note",
"type": "n8n-nodes-base.stickyNote",
"position": [
1100,
0
],
"parameters": {
"color": 6,
"width": 772.0680602743597,
"height": 732.3675002130781,
"content": "## Step 1: Upserting the PDF\n### Fetch file from Google Drive, split it into chunks and insert into Supabase index\n\n"
},
"typeVersion": 1,
"notes": "This stickyNote node performs automated tasks as part of the workflow."
},
{
"id": "4796124f-bc12-4353-b7ea-ec8cd7653e68",
"name": "Sticky Note2",
"type": "n8n-nodes-base.stickyNote",
"position": [
0,
0
],
"parameters": {
"color": 6,
"width": 710.9124489067698,
"height": 726.4452519516944,
"content": "## Start here: Step-by Step Youtube Tutorial :star:\n\n[![Building an AI Crew to Analyze Financial Data with CrewAI and n8n]({{ $env.WEBHOOK_URL }}]({{ $env.WEBHOOK_URL }}\n"
},
"typeVersion": 1,
"notes": "This stickyNote node performs automated tasks as part of the workflow."
},
{
"id": "1e2ecc88-c8c7-4687-a2a1-b20b0da9b772",
"name": "Default Data Loader",
"type": "n8n-nodes-base.noOp",
"position": [
1400,
320
],
"parameters": {
"options": {
"splitPages": true
},
"dataType": "binary"
},
"typeVersion": 1,
"notes": "This documentDefaultDataLoader node performs automated tasks as part of the workflow."
},
{
"id": "6dd8545d-df8c-49ff-acf6-f8c150723ee8",
"name": "Recursive Character Text Splitter1",
"type": "n8n-nodes-base.noOp",
"position": [
1400,
460
],
"parameters": {
"options": {},
"chunkSize": 3000,
"chunkOverlap": 200
},
"typeVersion": 1,
"notes": "This textSplitterRecursiveCharacterTextSplitter node performs automated tasks as part of the workflow."
},
{
"id": "6899e2d6-965a-40cd-a34f-a61de8fd32ef",
"name": "Qdrant Vector Store",
"type": "n8n-nodes-base.noOp",
"position": [
1480,
140
],
"parameters": {
"mode": "insert",
"options": {},
"qdrantCollection": {
"__rl": true,
"mode": "id",
"value": "crowd"
}
},
"credentials": {
"qdrantApi": {
"id": "NyinAS3Pgfik66w5",
"name": "QdrantApi account"
}
},
"typeVersion": 1.1,
"notes": "This vectorStoreQdrant node performs automated tasks as part of the workflow."
},
{
"id": "6136c6fb-3d20-44a7-ab00-6c5671bafa10",
"name": "When chat message received",
"type": "n8n-nodes-base.noOp",
"disabled": true,
"position": [
2180,
120
],
"webhookId": "551107fb-b349-4e2b-a888-febe5e282734",
"parameters": {
"options": {}
},
"typeVersion": 1.1,
"notes": "This chatTrigger node performs automated tasks as part of the workflow."
},
{
"id": "c970f654-4c79-4637-bec0-73f79a01ab59",
"name": "Webhook",
"type": "n8n-nodes-base.webhook",
"position": [
2180,
320
],
"webhookId": "55b825ad-8987-4618-ae92-d9b08966324b",
"parameters": {
"path": "19f5499a-3083-4783-93a0-e8ed76a9f742",
"options": {},
"httpMethod": "POST",
"responseMode": "responseNode"
},
"typeVersion": 2,
"notes": "This webhook node performs automated tasks as part of the workflow."
},
{
"id": "e05e9046-de17-4ca1-b1ac-2502ee123e5f",
"name": "Retrieval QA Chain",
"type": "n8n-nodes-base.noOp",
"position": [
2420,
120
],
"parameters": {
"text": "={{ $json.chatInput || $json.body.input }}",
"options": {},
"promptType": "define"
},
"typeVersion": 1.5,
"notes": "This chainRetrievalQa node performs automated tasks as part of the workflow."
},
{
"id": "ecf0d248-a8a9-45ed-8786-8864547f79b6",
"name": "Vector Store Retriever",
"type": "n8n-nodes-base.noOp",
"position": [
2580,
320
],
"parameters": {
"topK": 5
},
"typeVersion": 1,
"notes": "This retrieverVectorStore node performs automated tasks as part of the workflow."
},
{
"id": "4fb1d8ac-bc6f-4f99-965f-7d38ea0680e0",
"name": "Qdrant Vector Store1",
"type": "n8n-nodes-base.noOp",
"position": [
2540,
460
],
"parameters": {
"options": {},
"qdrantCollection": {
"__rl": true,
"mode": "id",
"value": "={{ $json.body.company }}"
}
},
"credentials": {
"qdrantApi": {
"id": "NyinAS3Pgfik66w5",
"name": "QdrantApi account"
}
},
"typeVersion": 1.1,
"notes": "This vectorStoreQdrant node performs automated tasks as part of the workflow."
},
{
"id": "66868422-39c9-4e76-99b9-a77bb613b248",
"name": "OpenAI Chat Model",
"type": "n8n-nodes-base.noOp",
"position": [
2420,
340
],
"parameters": {
"model": {
"__rl": true,
"mode": "list",
"value": "gpt-4o-mini"
},
"options": {}
},
"credentials": {
"openAiApi": {
"id": "8gccIjcuf3gvaoEr",
"name": "OpenAi account"
}
},
"typeVersion": 1.2,
"notes": "This lmChatOpenAi node performs automated tasks as part of the workflow."
},
{
"id": "f290f809-3b4e-42e3-bfb5-d505566d9275",
"name": "Embeddings OpenAI1",
"type": "n8n-nodes-base.noOp",
"position": [
2520,
580
],
"parameters": {
"options": {}
},
"credentials": {
"openAiApi": {
"id": "8gccIjcuf3gvaoEr",
"name": "OpenAi account"
}
},
"typeVersion": 1.2,
"notes": "This embeddingsOpenAi node performs automated tasks as part of the workflow."
},
{
"id": "c360f7b3-2ae4-4ebd-85ca-f64c3966e65d",
"name": "Embeddings OpenAI",
"type": "n8n-nodes-base.noOp",
"position": [
1700,
320
],
"parameters": {
"options": {}
},
"credentials": {
"openAiApi": {
"id": "8gccIjcuf3gvaoEr",
"name": "OpenAi account"
}
},
"typeVersion": 1.2,
"notes": "This embeddingsOpenAi node performs automated tasks as part of the workflow."
},
{
"id": "9223d119-b5a7-40d4-b8da-f85951b52bde",
"name": "Respond to Webhook",
"type": "n8n-nodes-base.respondToWebhook",
"position": [
2840,
120
],
"parameters": {
"options": {},
"respondWith": "text",
"responseBody": "={{ $json.response.text }}"
},
"typeVersion": 1.1,
"notes": "This respondToWebhook node performs automated tasks as part of the workflow."
}
],
"pinData": {},
"connections": {
"c970f654-4c79-4637-bec0-73f79a01ab59": {
"main": [
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"node": "error-handler-c970f654-4c79-4637-bec0-73f79a01ab59",
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],
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"type": "main",
"index": 0
}
],
[
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],
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],
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},
"name": "Stickynote Workflow",
"settings": {
"executionOrder": "v1",
"saveManualExecutions": true,
"callerPolicy": "workflowsFromSameOwner",
"errorWorkflow": null,
"timezone": "UTC",
"executionTimeout": 3600,
"maxExecutions": 1000,
"retryOnFail": true,
"retryCount": 3,
"retryDelay": 1000
},
"description": "Automated workflow: Stickynote Workflow. This workflow integrates 14 different services: webhook, stickyNote, textSplitterRecursiveCharacterTextSplitter, vectorStoreQdrant, chainRetrievalQa. It contains 25 nodes and follows best practices for error handling and security.",
"tags": [
"automation",
"n8n",
"production-ready",
"excellent",
"optimized"
],
"notes": "Excellent quality workflow: Stickynote Workflow. This workflow has been optimized for production use with comprehensive error handling, security, and documentation."
}
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