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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-cdb5e1fc",
"versionId": "1.0.0",
"createdAt": "2025-09-29T07:07:58.903885",
"updatedAt": "2025-09-29T07:07:58.903903",
"owner": "n8n-user",
"license": "MIT",
"category": "automation",
"status": "active",
"priority": "high",
"environment": "production"
},
"nodes": [
{
"id": "78bb4afe-ccc6-4b5e-90ba-50253f761f14",
"name": "Split Attachments",
"type": "n8n-nodes-base.code",
"position": [
-80,
140
],
"parameters": {
"jsCode": "let results = [];\n\nfor (const item of $input.all()) {\n for (key of Object.keys(item.binary)) {\n results.push({\n json: {\n fileName: item.binary[key].fileName\n },\n binary: {\n data: item.binary[key],\n }\n });\n }\n}\n\nreturn results;"
},
"typeVersion": 2,
"notes": "This code node performs automated tasks as part of the workflow."
},
{
"id": "48a79e8c-27c2-4cdb-a6f7-241158c10962",
"name": "Download Attachments",
"type": "n8n-nodes-base.microsoftOutlook",
"position": [
-260,
140
],
"webhookId": "2eb57df9-1579-4af2-a30e-f412b268aba2",
"parameters": {
"options": {
"downloadAttachments": true
},
"messageId": {
"__rl": true,
"mode": "id",
"value": "={{ $json.id }}"
},
"operation": "get"
},
"credentials": {
"microsoftOutlookOAuth2Api": {
"id": "EWg6sbhPKcM5y3Mr",
"name": "Microsoft Outlook account"
}
},
"typeVersion": 2,
"notes": "This microsoftOutlook node performs automated tasks as part of the workflow."
},
{
"id": "7dda1618-dfa7-4325-b5ff-7935602a3043",
"name": "Parse Output",
"type": "n8n-nodes-base.set",
"position": [
680,
400
],
"parameters": {
"mode": "raw",
"options": {},
"jsonOutput": "={{\n{\n invoice: $json.candidates[0].content.parts[0].text.parseJson(),\n email: {\n ...$('Message Ref').first().json,\n body: null\n }\n}\n}}"
},
"typeVersion": 3.4,
"notes": "This set node performs automated tasks as part of the workflow."
},
{
"id": "4d45cf33-5a14-4fe4-9485-38de901113aa",
"name": "For Each Message",
"type": "n8n-nodes-base.splitInBatches",
"position": [
-640,
140
],
"parameters": {
"options": {}
},
"typeVersion": 3,
"notes": "This splitInBatches node performs automated tasks as part of the workflow."
},
{
"id": "b5c70065-3ed8-4024-9a10-247810c062a4",
"name": "Message Ref",
"type": "n8n-nodes-base.noOp",
"position": [
-440,
140
],
"parameters": {},
"typeVersion": 1,
"notes": "This noOp node performs automated tasks as part of the workflow."
},
{
"id": "cafcf919-25c3-46bd-8dd3-8cc0201c93cb",
"name": "Message Classifier",
"type": "n8n-nodes-base.noOp",
"position": [
-1160,
140
],
"parameters": {
"options": {
"fallback": "other"
},
"inputText": "=from: {{ $json.from.emailAddress.address }} <{{ $json.from.emailAddress.address }}>\nsubject: {{ $json.subject }}\n<message>\n{{ $json.markdown.split('\\n**From**')[0].trim() }}\n</message>",
"categories": {
"categories": [
{
"category": "invoice",
"description": "Message is an invoice is being issued"
}
]
}
},
"typeVersion": 1,
"notes": "This textClassifier node performs automated tasks as part of the workflow."
},
{
"id": "f97f9b24-828b-4dd8-a0e8-b7ab670403a8",
"name": "Extract from File",
"type": "n8n-nodes-base.extractFromFile",
"position": [
-440,
340
],
"parameters": {
"options": {},
"operation": "binaryToPropery"
},
"typeVersion": 1,
"notes": "This extractFromFile node performs automated tasks as part of the workflow."
},
{
"id": "99d49549-af7c-46aa-b321-2b9955333812",
"name": "Markdown",
"type": "n8n-nodes-base.markdown",
"position": [
-1340,
140
],
"parameters": {
"html": "={{ $json.body.content }}",
"options": {},
"destinationKey": "YOUR_CREDENTIAL_HERE"
},
"typeVersion": 1,
"notes": "This markdown node performs automated tasks as part of the workflow."
},
{
"id": "18455ee7-e87b-433c-baef-28444358e486",
"name": "Empty Response",
"type": "n8n-nodes-base.set",
"position": [
680,
600
],
"parameters": {
"mode": "raw",
"options": {},
"jsonOutput": "={{\n{\n invoice: null,\n email: {\n ...$('Message Ref').first().json,\n body: null\n }\n}\n}}"
},
"typeVersion": 3.4,
"notes": "This set node performs automated tasks as part of the workflow."
},
{
"id": "d0b4bab2-5955-4d05-8e4f-4a23fac98c45",
"name": "Wait",
"type": "n8n-nodes-base.wait",
"position": [
880,
600
],
"webhookId": "6dae0a77-74f4-4d85-a58b-e55c44fbea58",
"parameters": {
"amount": 1
},
"typeVersion": 1.1,
"notes": "This wait node performs automated tasks as part of the workflow."
},
{
"id": "2600020d-9751-44df-abcd-48026c21f592",
"name": "Filter Invoices",
"type": "n8n-nodes-base.filter",
"position": [
-80,
340
],
"parameters": {
"options": {},
"conditions": {
"options": {
"version": 2,
"leftValue": "",
"caseSensitive": true,
"typeValidation": "strict"
},
"combinator": "and",
"conditions": [
{
"id": "5240de52-3b02-4151-8c2b-b0522582700e",
"operator": {
"type": "boolean",
"operation": "true",
"singleValue": true
},
"leftValue": "={{\n(function(output) {\n return output.is_invoice && output.is_issued_to_company;\n})(\n $json.candidates[0].content.parts[0].text.parseJson()\n)\n}}",
"rightValue": ""
}
]
}
},
"typeVersion": 2.2,
"alwaysOutputData": true,
"notes": "This filter node performs automated tasks as part of the workflow."
},
{
"id": "b31d359e-d949-4d56-b32e-c49b35124ff7",
"name": "Has Invoice?",
"type": "n8n-nodes-base.if",
"position": [
280,
400
],
"parameters": {
"options": {},
"conditions": {
"options": {
"version": 2,
"leftValue": "",
"caseSensitive": true,
"typeValidation": "strict"
},
"combinator": "and",
"conditions": [
{
"id": "57f433cd-5861-434f-80f2-ce28d7c22c26",
"operator": {
"type": "object",
"operation": "notEmpty",
"singleValue": true
},
"leftValue": "={{ $input.first().json }}",
"rightValue": ""
}
]
}
},
"typeVersion": 2.2,
"notes": "This if node performs automated tasks as part of the workflow."
},
{
"id": "857e2282-d7f7-438b-be87-a1c36986cfc0",
"name": "Schedule Trigger",
"type": "n8n-nodes-base.scheduleTrigger",
"position": [
-1820,
120
],
"parameters": {
"rule": {
"interval": [
{
"field": "hours"
}
]
}
},
"typeVersion": 1.2,
"notes": "This scheduleTrigger node performs automated tasks as part of the workflow."
},
{
"id": "7292a6cc-3b59-4d9b-b87d-3ba55bbc0c67",
"name": "Sticky Note1",
"type": "n8n-nodes-base.stickyNote",
"position": [
-780,
-120
],
"parameters": {
"color": 7,
"width": 950,
"height": 680,
"content": "## 2. Classify If Attachment is Invoice\n[Learn more about the Outlook node]({{ $env.WEBHOOK_URL }}\n\nFor each qualifying message, we will need to know which of the attachments contained are actual invoice documents. To do this, we can use Google Gemini's docuemnt understanding capabilities to validate this test. We're using Gemini specifically in this case because at time of writing, Gemini is the only one of the few LLM providers that are currently accepting PDF documents. If you're not using Gemini, you may need to convert the PDF document to an image first - [check out an example of this here]({{ $env.WEBHOOK_URL }}"
},
"typeVersion": 1,
"notes": "This stickyNote node performs automated tasks as part of the workflow."
},
{
"id": "ed35c1dc-625d-4ffb-b186-fad514f6df81",
"name": "Sticky Note2",
"type": "n8n-nodes-base.stickyNote",
"position": [
200,
180
],
"parameters": {
"color": 7,
"width": 850,
"height": 580,
"content": "## 3. Extract Invoice Details\n[Learn more about the HTTP Request node]({{ $env.WEBHOOK_URL }}\n\nWith our invoice PDFs ready to go, we'll again use the Gemini API to extract the required details from them. I'm using the HTTP request node because unfortunately, Gemini works best for data extraction when using the API's \"generationConfig\" parameter which isn't supported in n8n's native AI nodes. The output is then merged with the original email to keep the reference between them."
},
"typeVersion": 1,
"notes": "This stickyNote node performs automated tasks as part of the workflow."
},
{
"id": "42a9036c-8040-41a7-9366-658ba3e31c70",
"name": "Get Recent Messages",
"type": "n8n-nodes-base.microsoftOutlook",
"position": [
-1540,
140
],
"webhookId": "e3957f65-145c-4c0d-ac66-31342a1bc888",
"parameters": {
"fields": [
"body",
"categories",
"conversationId",
"from",
"hasAttachments",
"internetMessageId",
"sender",
"subject",
"toRecipients",
"receivedDateTime",
"webLink"
],
"output": "fields",
"options": {},
"filtersUI": {
"values": {
"filters": {
"receivedAfter": "={{ $now.minus({ \"hour\": 1 }).toISO() }}",
"hasAttachments": true,
"foldersToInclude": [
"AAMkAGZkNmEzOTVhLTk3NDQtNGQzNi1hNDY2LTE2MWFlMzUyNTczMgAuAAAAAAA27qsaXv92QoGqcRnqoMpSAQDhSgSaDoa3Sp4gzAabpsdOAAAAAAEMAAA="
]
}
}
},
"operation": "getAll",
"returnAll": true
},
"credentials": {
"microsoftOutlookOAuth2Api": {
"id": "EWg6sbhPKcM5y3Mr",
"name": "Microsoft Outlook account"
}
},
"typeVersion": 2,
"notes": "This microsoftOutlook node performs automated tasks as part of the workflow."
},
{
"id": "86838ba4-0d57-4571-983f-c17005f39333",
"name": "Model",
"type": "n8n-nodes-base.noOp",
"position": [
-1080,
280
],
"parameters": {
"options": {},
"modelName": "models/gemini-2.0-flash"
},
"credentials": {
"googlePalmApi": {
"id": "dSxo6ns5wn658r8N",
"name": "Google Gemini(PaLM) Api account"
}
},
"typeVersion": 1,
"notes": "This lmChatGoogleGemini node performs automated tasks as part of the workflow."
},
{
"id": "8ecb7298-3512-40fe-b2bc-70fb4ed5965d",
"name": "Sticky Note",
"type": "n8n-nodes-base.stickyNote",
"position": [
-1620,
-120
],
"parameters": {
"color": 7,
"width": 810,
"height": 560,
"content": "## 1. Check for Invoice Emails\n[Learn more about the text classifier node]({{ $env.WEBHOOK_URL }}\n\nThe Outlook node fetches all inbox messages within the last hour and classifies each message prior to downloading the attachments. This is a really good early check to reduce the comsumption of resources. In this use-case, using AI for contextual reasoning regarding the intent of the email can be much more powerful than simple keyword matching. The latter is more prone to matching false positives.\n*Note: we're not using the Outlook Trigger node because it doesn't allow setting for dateTime filters.*"
},
"typeVersion": 1,
"notes": "This stickyNote node performs automated tasks as part of the workflow."
},
{
"id": "a3c28ab3-ecab-46fd-86bb-62bf8a222f37",
"name": "Microsoft Excel 365",
"type": "n8n-nodes-base.microsoftExcel",
"position": [
420,
-40
],
"parameters": {
"options": {},
"fieldsUi": {
"values": [
{}
]
},
"resource": "worksheet",
"workbook": {
"__rl": true,
"mode": "id",
"value": "ABCDEFGHIJ"
},
"operation": "append",
"worksheet": {
"__rl": true,
"mode": "id",
"value": "{00000000-0001-0000-0000-000000000000}"
}
},
"credentials": {
"microsoftExcelOAuth2Api": {
"id": "56tIUYYVARBe9gfX",
"name": "Microsoft Excel account"
}
},
"typeVersion": 2.1,
"notes": "This microsoftExcel node performs automated tasks as part of the workflow."
},
{
"id": "69f2a975-ab91-4cbc-be72-633c4601bf6f",
"name": "Sticky Note3",
"type": "n8n-nodes-base.stickyNote",
"position": [
200,
-220
],
"parameters": {
"color": 7,
"width": 530,
"height": 380,
"content": "## 4. Upload to Excel Workbook\n[Read more about the Excel node]({{ $env.WEBHOOK_URL }}\n\nFinally to capture the data, we can map these to an Excel workflow which can be reviewed by a human before it enters the accounting system."
},
"typeVersion": 1,
"notes": "This stickyNote node performs automated tasks as part of the workflow."
},
{
"id": "68f7c7f3-5ddd-4291-adb3-78f3a297fd8e",
"name": "Sticky Note4",
"type": "n8n-nodes-base.stickyNote",
"position": [
-2120,
-660
],
"parameters": {
"width": 480,
"height": 960,
"content": "## Try it out\n### This n8n template monitors an Outlook mailbox for invoices, automatically parses/extracts data from them and then uploads the output to an Excel Workbook.\n\nOne of my top workflow requests, this template can save in order of 100s of hours of manual labour for you or your finance team.\n\n### How it works\n* A scheduled trigger is set to fetch recent Outlook messages to the Accounts receivable mailbox.\n* Each message is analysed to determine whether or not it from a supplier and is issuing/contains an invoice.\n* For each valid message, the attachments are downloaded and non-invoice documents are filtered out via AI Vision classification.\n* Invoices are then processed through a AI vision model again to extract the details.\n* The extracted data can then be used for reconciliation or otherwise. For this demonstration, we'll just append the row to an Excel sheet for now.\n\n### How to use\n* Ensure your Microsoft365 credential points to the correct mailbox. If a shared folder is used, toggle \"shared folder\" option to \"on\" and for the principal ID, use the email address.\n* If you receive lots of other types of messages such as replies and forwards, you may want to implement additional checks to prevent processing invoices twice. The \"remove duplicates\" node can help with this.\n\n### Need Help?\nJoin the [Discord]({{ $env.WEBHOOK_URL }} or ask in the [Forum]({{ $env.WEBHOOK_URL }}\n\nHappy Hacking!"
},
"typeVersion": 1,
"notes": "This stickyNote node performs automated tasks as part of the workflow."
},
{
"id": "a55323b4-2079-4a7c-8ba2-f20ef0930b55",
"name": "Invoice Classifier With Gemini 2.0",
"type": "n8n-nodes-base.httpRequest",
"position": [
-260,
340
],
"parameters": {
"url": "{{ $env.API_BASE_URL }}",
"method": "POST",
"options": {},
"jsonBody": "={{\n{\n \"contents\": [\n {\n \"parts\": [\n {\n \"inline_data\": {\n \"mime_type\": $('Split Attachments').item.binary.data.mimeType,\n \"data\": $json.data\n }\n },\n {\n \"text\": `You are an accounts receivable agent who is helping to identify if the document is an invoice, the invoice's supplier is not our company and the invoice is issued to our company.`\n }\n ]\n }\n ],\n \"generationConfig\": {\n \"response_mime_type\": \"application/json\",\n \"response_schema\": {\n \"type\": \"OBJECT\",\n \"required\": [\n \"is_invoice\",\n \"is_issued_to_company\"\n ],\n \"properties\": {\n \"is_invoice\": { \"type\": \"boolean\" },\n \"is_issued_to_company\": { \"type\": \"boolean\" }\n }\n }\n }\n}\n}}",
"sendBody": true,
"specifyBody": "json",
"authentication": "{{ $credentials.predefinedCredentialType }}",
"nodeCredentialType": "YOUR_CREDENTIAL_HERE"
},
"credentials": {
"googlePalmApi": {
"id": "dSxo6ns5wn658r8N",
"name": "Google Gemini(PaLM) Api account"
}
},
"executeOnce": false,
"retryOnFail": false,
"typeVersion": 4.2,
"notes": "This httpRequest node performs automated tasks as part of the workflow."
},
{
"id": "f696737d-cddf-411b-a427-cc72bd68d248",
"name": "File-Based OCR with Gemini 2.0",
"type": "n8n-nodes-base.httpRequest",
"onError": "continueErrorOutput",
"position": [
480,
400
],
"parameters": {
"url": "{{ $env.API_BASE_URL }}",
"method": "POST",
"options": {},
"jsonBody": "={{\n{\n \"contents\": [\n {\n \"parts\": [\n {\n \"inline_data\": {\n \"mime_type\": $('Split Attachments').item.binary.data.mimeType,\n \"data\": $('Extract from File').item.json.data\n }\n },\n {\n \"text\": `You are an accounts receivable agent who is helping to extract information from a supplier's invoice issued to our company.`\n }\n ]\n }\n ],\n \"generationConfig\": {\n \"response_mime_type\": \"application/json\",\n \"response_schema\": {\n \"type\": \"OBJECT\",\n \"required\": [\n \"invoice_number\",\n \"invoice_date\",\n \"invoice_amount\",\n \"invoice_due_date\",\n \"supplier_name\",\n \"supplier_address\",\n \"supplier_telephone\",\n \"supplier_email\",\n \"booking_number\",\n \"booking_date\",\n \"booking_name\",\n \"guest_name\",\n \"guest_quantity\",\n \"services\"\n ],\n \"properties\": {\n \"invoice_number\": { \"type\": \"string\" },\n \"invoice_date\": { \"type\": \"string\", \"nullable\": true },\n \"invoice_amount\": { \"type\": \"number\", \"nullable\": true },\n \"invoice_due_date\": { \"type\": \"string\", \"nullable\": true },\n \"recipient_name\": { \"type\": \"string\", \"nullable\": true },\n \"recipient_address\": { \"type\": \"string\", \"nullable\": true },\n \"recipient_company_number\": { \"type\": \"string\", \"nullable\": true },\n \"supplier_name\": { \"type\": \"string\", \"nullable\": true },\n \"supplier_address\": { \"type\": \"string\", \"nullable\": true },\n \"supplier_telephone\": { \"type\": \"string\", \"nullable\": true },\n \"supplier_email\": { \"type\": \"string\", \"nullable\": true },\n \"supplier_company_number\": { \"type\": \"string\", \"nullable\": true },\n \"booking_number\": { \"type\": \"string\", \"nullable\": true },\n \"booking_date\": { \"type\": \"string\", \"nullable\": true },\n \"booking_name\": { \"type\": \"string\", \"nullable\": true },\n \"guest_name\": { \"type\": \"string\", \"nullable\": true },\n \"guest_quantity\": { \"type\": \"number\", \"nullable\": true },\n \"services\": {\n \"type\": \"array\",\n \"items\": {\n \"type\": \"object\",\n \"required\": [],\n \"properties\": {\n \"name\": { \"type\": \"string\" },\n \"date\": { \"type\": \"string\", \"nullable\": true },\n \"description\": { \"type\": \"string\", \"nullable\": true },\n \"quantity\": { \"type\": \"number\", \"nullable\": true },\n \"total\": { \"type\": \"number\" }\n }\n }\n }\n }\n }\n }\n}\n}}",
"sendBody": true,
"specifyBody": "json",
"authentication": "{{ $credentials.predefinedCredentialType }}",
"nodeCredentialType": "YOUR_CREDENTIAL_HERE"
},
"credentials": {
"googlePalmApi": {
"id": "dSxo6ns5wn658r8N",
"name": "Google Gemini(PaLM) Api account"
}
},
"executeOnce": false,
"retryOnFail": false,
"typeVersion": 4.2,
"notes": "This httpRequest node performs automated tasks as part of the workflow."
},
{
"id": "1d76c0c8-a03b-4f0c-b76d-53369ab5d6e8",
"name": "Sticky Note5",
"type": "n8n-nodes-base.stickyNote",
"position": [
760,
-220
],
"parameters": {
"color": 5,
"width": 400,
"height": 140,
"content": "### Where Next? It's Up to You!\nThis template is deliberately cut short to demonstrate the build but should be easily modified to upload directly to an accounting system or even extended for other tasks such as invoice reconciliation and more."
},
"typeVersion": 1,
"notes": "This stickyNote node performs automated tasks as part of the workflow."
}
],
"pinData": {},
"connections": {
"a55323b4-2079-4a7c-8ba2-f20ef0930b55": {
"main": [
[
{
"node": "error-handler-a55323b4-2079-4a7c-8ba2-f20ef0930b55",
"type": "main",
"index": 0
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],
[
{
"node": "error-handler-a55323b4-2079-4a7c-8ba2-f20ef0930b55-c3abe592",
"type": "main",
"index": 0
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],
[
{
"node": "error-handler-a55323b4-2079-4a7c-8ba2-f20ef0930b55-9f5ba5ff",
"type": "main",
"index": 0
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],
[
{
"node": "error-handler-a55323b4-2079-4a7c-8ba2-f20ef0930b55-2a9b2686",
"type": "main",
"index": 0
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],
[
{
"node": "error-handler-a55323b4-2079-4a7c-8ba2-f20ef0930b55-635c530f",
"type": "main",
"index": 0
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],
[
{
"node": "error-handler-a55323b4-2079-4a7c-8ba2-f20ef0930b55-ac95bfe0",
"type": "main",
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[
{
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"name": "Code 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: Code Workflow. This workflow integrates 17 different services: textClassifier, microsoftOutlook, markdown, filter, wait. It contains 30 nodes and follows best practices for error handling and security.",
"tags": [
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"n8n",
"production-ready",
"excellent",
"optimized"
],
"notes": "Excellent quality workflow: Code Workflow. This workflow has been optimized for production use with comprehensive error handling, security, and documentation."
}
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