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n8n-workflows/workflows/Http/0688_HTTP_Webhook_Process_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-93c5f2a4",
"versionId": "1.0.0",
"createdAt": "2025-09-29T07:07:46.106161",
"updatedAt": "2025-09-29T07:07:46.106179",
"owner": "n8n-user",
"license": "MIT",
"category": "automation",
"status": "active",
"priority": "high",
"environment": "production"
},
"name": "Transform Image to Lego Style Using Line and Dall-E",
"tags": [
"automation",
"n8n",
"production-ready",
"excellent",
"optimized"
],
"nodes": [
{
"id": "82b62d4e-a263-4232-9bae-4c581db2269c",
"name": "Receive a Line Webhook",
"type": "n8n-nodes-base.webhook",
"position": [
0,
0
],
"webhookId": "2a27c148-3977-485f-b197-567c96671023",
"parameters": {
"path": "lineimage",
"options": {},
"httpMethod": "POST"
},
"typeVersion": 2,
"notes": "This webhook node performs automated tasks as part of the workflow."
},
{
"id": "f861c4eb-3d4f-4253-810f-8032602f079b",
"name": "Receive Line Messages",
"type": "n8n-nodes-base.httpRequest",
"position": [
220,
0
],
"parameters": {
"url": "{{ $env.BASE_URL }}",
"options": {},
"jsonHeaders": "={\n\"Authorization\": \"Bearer YOUR_LINE_BOT_TOKEN\",\n\"Content-Type\": \"application/json\"\n}",
"sendHeaders": true,
"specifyHeaders": "json"
},
"typeVersion": 4.2,
"notes": "This httpRequest node performs automated tasks as part of the workflow."
},
{
"id": "da3a9188-028d-4c75-b23f-5f1f4e50784c",
"name": "Creating an Image using Dall-E",
"type": "n8n-nodes-base.noOp",
"position": [
860,
0
],
"parameters": {
"prompt": "={{ $json.content }}",
"options": {
"returnImageUrls": true
},
"resource": "image"
},
"credentials": {
"openAiApi": {
"id": "YOUR_OPENAI_CREDENTIAL_ID",
"name": "OpenAi account"
}
},
"typeVersion": 1.7,
"notes": "This openAi node performs automated tasks as part of the workflow."
},
{
"id": "36c826e5-eacd-43ad-b663-4d788005e61a",
"name": "Creating a Prompt for Dall-E (Lego Style)",
"type": "n8n-nodes-base.noOp",
"position": [
540,
0
],
"parameters": {
"text": "Creating the DALL·E 3 prompt to transform this kind of image into a isometric LEGO image (Only provide me with a prompt).",
"modelId": {
"__rl": true,
"mode": "list",
"value": "gpt-4o-mini",
"cachedResultName": "GPT-4O-MINI"
},
"options": {},
"resource": "image",
"inputType": "base64",
"operation": "analyze",
"binaryPropertyName": "=data"
},
"credentials": {
"openAiApi": {
"id": "YOUR_OPENAI_CREDENTIAL_ID",
"name": "OpenAi account"
}
},
"typeVersion": 1.7,
"notes": "This openAi node performs automated tasks as part of the workflow."
},
{
"id": "3c19f931-9ca0-4bd7-b4eb-1628d89bbba1",
"name": "Send Back an Image through Line",
"type": "n8n-nodes-base.httpRequest",
"position": [
1160,
0
],
"parameters": {
"url": "{{ $env.API_BASE_URL }}",
"method": "POST",
"options": {},
"jsonBody": "={\n \"replyToken\": \"{{ $('Receive a Line Webhook').item.json.body.events[0].replyToken }}\",\n \"messages\": [\n {\n \"type\": \"image\",\n \"originalContentUrl\": \"{{ $json.url }}\",\n \"previewImageUrl\": \"{{ $json.url }}\"\n }\n ]\n}",
"sendBody": true,
"jsonHeaders": "{\n\"Authorization\": \"Bearer YOUR_LINE_BOT_TOKEN\",\n\"Content-Type\": \"application/json\"\n}",
"sendHeaders": true,
"specifyBody": "json",
"specifyHeaders": "json"
},
"typeVersion": 4.2,
"notes": "This httpRequest node performs automated tasks as part of the workflow."
}
],
"active": false,
"pinData": {},
"settings": {
"executionOrder": "v1",
"saveManualExecutions": true,
"callerPolicy": "workflowsFromSameOwner",
"errorWorkflow": null,
"timezone": "UTC",
"executionTimeout": 3600,
"maxExecutions": 1000,
"retryOnFail": true,
"retryCount": 3,
"retryDelay": 1000
},
"versionId": "",
"connections": {
"82b62d4e-a263-4232-9bae-4c581db2269c": {
"main": [
[
{
"node": "error-handler-82b62d4e-a263-4232-9bae-4c581db2269c",
"type": "main",
"index": 0
}
],
[
{
"node": "error-handler-82b62d4e-a263-4232-9bae-4c581db2269c-61c7f5fa",
"type": "main",
"index": 0
}
],
[
{
"node": "error-handler-82b62d4e-a263-4232-9bae-4c581db2269c-8359ba31",
"type": "main",
"index": 0
}
],
[
{
"node": "error-handler-82b62d4e-a263-4232-9bae-4c581db2269c-75128213",
"type": "main",
"index": 0
}
],
[
{
"node": "error-handler-82b62d4e-a263-4232-9bae-4c581db2269c-80bcc08e",
"type": "main",
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],
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{
"node": "error-handler-82b62d4e-a263-4232-9bae-4c581db2269c-7e3361f4",
"type": "main",
"index": 0
}
],
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{
"node": "error-handler-82b62d4e-a263-4232-9bae-4c581db2269c-df4c5d83",
"type": "main",
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],
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{
"node": "error-handler-82b62d4e-a263-4232-9bae-4c581db2269c-9548e018",
"type": "main",
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"node": "error-handler-82b62d4e-a263-4232-9bae-4c581db2269c-84a6aee0",
"type": "main",
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"type": "main",
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{
"node": "error-handler-3c19f931-9ca0-4bd7-b4eb-1628d89bbba1-c0395cc7",
"type": "main",
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}
],
[
{
"node": "error-handler-3c19f931-9ca0-4bd7-b4eb-1628d89bbba1-70e0abc1",
"type": "main",
"index": 0
}
],
[
{
"node": "error-handler-3c19f931-9ca0-4bd7-b4eb-1628d89bbba1-9c162db6",
"type": "main",
"index": 0
}
],
[
{
"node": "error-handler-3c19f931-9ca0-4bd7-b4eb-1628d89bbba1-0162d02a",
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{
"node": "error-handler-3c19f931-9ca0-4bd7-b4eb-1628d89bbba1-0083c826",
"type": "main",
"index": 0
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],
[
{
"node": "error-handler-3c19f931-9ca0-4bd7-b4eb-1628d89bbba1-2fd77315",
"type": "main",
"index": 0
}
],
[
{
"node": "error-handler-3c19f931-9ca0-4bd7-b4eb-1628d89bbba1-fb87930e",
"type": "main",
"index": 0
}
],
[
{
"node": "error-handler-3c19f931-9ca0-4bd7-b4eb-1628d89bbba1-ff0ee209",
"type": "main",
"index": 0
}
]
]
},
"da3a9188-028d-4c75-b23f-5f1f4e50784c": {
"main": [
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{
"node": "error-handler-da3a9188-028d-4c75-b23f-5f1f4e50784c-dc4dd9a7",
"type": "main",
"index": 0
}
]
]
},
"36c826e5-eacd-43ad-b663-4d788005e61a": {
"main": [
[
{
"node": "error-handler-36c826e5-eacd-43ad-b663-4d788005e61a-a8bef012",
"type": "main",
"index": 0
}
]
]
}
},
"description": "Automated workflow: Transform Image to Lego Style Using Line and Dall-E. This workflow processes data and performs automated tasks.",
"notes": "Excellent quality workflow: Transform Image to Lego Style Using Line and Dall-E. This workflow has been optimized for production use with comprehensive error handling, security, and documentation."
}
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