詐欺性予約検出器：AIを使用して可疑な旅行取引を識別
上級
これはSecOps, AI Summarization分野の自動化ワークフローで、20個のノードを含みます。主にIf, Set, Code, Gmail, Webhookなどのノードを使用。 詐欺のな予約検出器：Google Geminiを使った可疑な旅行取引の識別
前提条件
- •Googleアカウント + Gmail API認証情報
- •HTTP Webhookエンドポイント（n8nが自動生成）
- •ターゲットAPIの認証情報が必要な場合あり
- •Google Sheets API認証情報
- •Google Gemini API Key
使用ノード (20)
ワークフロープレビュー
ノード接続関係を可視化、ズームとパンをサポート
ワークフローをエクスポート
以下のJSON設定をn8nにインポートして、このワークフローを使用できます
{
"id": "MMiXWOQE8aw4OD3k",
"meta": {
"instanceId": "dd69efaf8212c74ad206700d104739d3329588a6f3f8381a46a481f34c9cc281",
"templateCredsSetupCompleted": true
},
"name": "Fraudulent Booking Detector: Identify Suspicious Travel Transactions with AI",
"tags": [],
"nodes": [
{
"id": "664a521a-7b7c-4a9a-ae3a-06cb326d6923",
"name": "予約取引 Webhook",
"type": "n8n-nodes-base.webhook",
"position": [
-1540,
120
],
"webhookId": "fraud-detection-webhook",
"parameters": {
"path": "fraud-detection",
"options": {},
"httpMethod": "POST",
"responseMode": "responseNode"
},
"typeVersion": 1
},
{
"id": "940ec478-de93-4595-a391-8aefb170b5d9",
"name": "予約データの抽出",
"type": "n8n-nodes-base.set",
"position": [
-1320,
120
],
"parameters": {
"values": {
"string": [
{
"name": "user_id",
"value": "={{ $json.body.user_id }}"
},
{
"name": "booking_amount",
"value": "={{$json.body.amount}}"
},
{
"name": "booking_time",
"value": "={{$json.body.timestamp}}"
},
{
"name": "ip_address",
"value": "={{$json.body.ip_address}}"
},
{
"name": "payment_method",
"value": "={{$json.body.payment_method}}"
},
{
"name": "booking_location",
"value": "={{$json.body.location}}"
},
{
"name": "session_id",
"value": "={{$json.body.session_id}}"
}
]
},
"options": {}
},
"typeVersion": 1
},
{
"id": "e138c720-be0f-4182-8cc7-a5b9ea0cfbd5",
"name": "IP位置情報チェック",
"type": "n8n-nodes-base.httpRequest",
"position": [
-1120,
120
],
"parameters": {
"url": "=http://ip-api.com/json/{{$node['Extract Booking Data'].json['ip_address']}}",
"options": {}
},
"typeVersion": 1
},
{
"id": "5a9d3b88-ddb3-46dc-93f1-3f142cba5050",
"name": "拡張リスク計算機",
"type": "n8n-nodes-base.code",
"position": [
-660,
120
],
"parameters": {
"jsCode": "const bookingData = $input.first();\nconst geoData = $node['IP Geolocation Check'].json;\nconst agentResponse = $node['AI Agent'].json.output;\n\n// Parse AI agent response\nlet aiAnalysis;\ntry {\n // Extract JSON from agent response\n const jsonMatch = agentResponse.match(/\\{[\\s\\S]*\\}/);\n if (jsonMatch) {\n aiAnalysis = JSON.parse(jsonMatch[0]);\n } else {\n throw new Error('No JSON found in response');\n }\n} catch (e) {\n console.error('AI Analysis parsing error:', e);\n // Fallback analysis\n aiAnalysis = {\n risk_score: 50,\n risk_level: 'MEDIUM',\n reasons: ['AI analysis parsing failed - manual review required'],\n fraud_indicators: ['System error'],\n recommendation: 'REVIEW'\n };\n}\n\n// Calculate additional rule-based risk factors\nlet additionalRiskScore = 0;\nlet riskFactors = [];\n\n// Amount-based risk assessment\nconst amount = parseFloat(bookingData.booking_amount);\nif (amount > 10000) {\n additionalRiskScore += 25;\n riskFactors.push('Very high transaction amount (>$10,000)');\n} else if (amount > 5000) {\n additionalRiskScore += 15;\n riskFactors.push('High transaction amount (>$5,000)');\n} else if (amount < 10) {\n additionalRiskScore += 10;\n riskFactors.push('Unusually low amount - potential testing');\n}\n\n// Geographic risk assessment\nif (geoData.country === 'Unknown' || geoData.status === 'fail') {\n additionalRiskScore += 20;\n riskFactors.push('IP geolocation failed or unknown');\n} else if (['TOR', 'VPN', 'Proxy'].includes(geoData.proxy || '')) {\n additionalRiskScore += 15;\n riskFactors.push('VPN/Proxy detected');\n}\n\n// Time-based pattern analysis\nconst bookingTime = new Date(bookingData.booking_time);\nconst hour = bookingTime.getHours();\nif (hour < 6 || hour > 23) {\n additionalRiskScore += 10;\n riskFactors.push('Unusual booking time (late night/early morning)');\n}\n\n// Payment method risk evaluation\nconst highRiskPayments = ['cryptocurrency', 'prepaid_card', 'gift_card', 'mobile_payment'];\nif (highRiskPayments.includes(bookingData.payment_method?.toLowerCase())) {\n additionalRiskScore += 15;\n riskFactors.push(`High-risk payment method: ${bookingData.payment_method}`);\n}\n\n// Combine AI score with rule-based score\nconst aiRiskScore = aiAnalysis.risk_score || 0;\nconst combinedRiskScore = Math.min(100, Math.round((aiRiskScore + additionalRiskScore) / 2));\n\n// Determine final risk level\nlet finalRiskLevel;\nif (combinedRiskScore >= 80) finalRiskLevel = 'CRITICAL';\nelse if (combinedRiskScore >= 40) finalRiskLevel = 'HIGH';\nelse if (combinedRiskScore >= 40) finalRiskLevel = 'MEDIUM';\nelse finalRiskLevel = 'LOW';\n\n// Combine all risk factors and indicators\nconst allRiskFactors = [...riskFactors, ...(aiAnalysis.reasons || [])];\nconst allFraudIndicators = [...(aiAnalysis.fraud_indicators || []), 'Rule-based analysis completed'];\n\n// Determine final recommendation\nlet finalRecommendation;\nif (finalRiskLevel === 'CRITICAL') finalRecommendation = 'BLOCK';\nelse if (finalRiskLevel === 'HIGH') finalRecommendation = 'REVIEW';\nelse finalRecommendation = 'APPROVE';\n\nreturn {\n user_id: bookingData.user_id,\n booking_amount: bookingData.booking_amount,\n risk_score: combinedRiskScore,\n risk_level: finalRiskLevel,\n recommendation: aiAnalysis.recommendation || finalRecommendation,\n risk_factors: allRiskFactors,\n fraud_indicators: allFraudIndicators,\n ai_analysis: aiAnalysis.reasons || ['No AI analysis available'],\n location: `${geoData.city || 'Unknown'}, ${geoData.country || 'Unknown'}`,\n ip_address: bookingData.ip_address,\n timestamp: new Date().toISOString(),\n session_id: bookingData.session_id,\n payment_method: bookingData.payment_method,\n ai_raw_score: aiRiskScore,\n rule_based_score: additionalRiskScore\n};"
},
"typeVersion": 1
},
{
"id": "dddfa887-aef3-4a39-8f39-6d6bf663cc47",
"name": "重大リスクチェック",
"type": "n8n-nodes-base.if",
"position": [
-440,
20
],
"parameters": {
"conditions": {
"string": [
{
"value1": "={{$json.risk_level}}",
"value2": "CRITICAL"
}
]
}
},
"typeVersion": 1
},
{
"id": "770d0bee-3c76-44d8-9636-95ce05a71ad0",
"name": "高リスクチェック",
"type": "n8n-nodes-base.if",
"position": [
-440,
220
],
"parameters": {
"conditions": {
"string": [
{
"value1": "={{$json.risk_level}}",
"value2": "HIGH"
}
]
},
"combineOperation": "any"
},
"typeVersion": 1
},
{
"id": "da250ec0-9f4a-459a-8764-a54f18f1bee7",
"name": "ユーザーアカウントのブロック",
"type": "n8n-nodes-base.httpRequest",
"onError": "continueRegularOutput",
"position": [
-200,
0
],
"parameters": {
"url": "https://oneclicktracker.in/booking/fraud/block-user",
"options": {},
"requestMethod": "POST",
"bodyParametersUi": {
"parameter": [
{
"name": "user_id",
"value": "={{ $('Extract Booking Data').item.json.body.user_id }}"
}
]
}
},
"executeOnce": true,
"typeVersion": 1
},
{
"id": "0b8dd1bc-b61d-4fc1-a36f-6cac7505228e",
"name": "レビュー対象としてフラグ付け",
"type": "n8n-nodes-base.httpRequest",
"onError": "continueRegularOutput",
"position": [
-200,
380
],
"parameters": {
"url": "https://oneclicktracker.in/booking/fraud/flag-transaction",
"options": {},
"requestMethod": "POST",
"bodyParametersUi": {
"parameter": [
{
"name": "user_id",
"value": "={{ $('Extract Booking Data').item.json.body.user_id }}"
}
]
}
},
"executeOnce": true,
"typeVersion": 1
},
{
"id": "fe50e27a-a223-4d1e-926b-eb52b308cb0e",
"name": "Google シートへのログ記録",
"type": "n8n-nodes-base.googleSheets",
"position": [
0,
120
],
"parameters": {
"columns": {
"value": {},
"schema": [
{
"id": "user_id",
"type": "string",
"display": true,
"removed": false,
"required": false,
"displayName": "user_id",
"defaultMatch": false,
"canBeUsedToMatch": true
},
{
"id": "booking_amount",
"type": "string",
"display": true,
"removed": false,
"required": false,
"displayName": "booking_amount",
"defaultMatch": false,
"canBeUsedToMatch": true
},
{
"id": "risk_score",
"type": "string",
"display": true,
"removed": false,
"required": false,
"displayName": "risk_score",
"defaultMatch": false,
"canBeUsedToMatch": true
},
{
"id": "risk_level",
"type": "string",
"display": true,
"removed": false,
"required": false,
"displayName": "risk_level",
"defaultMatch": false,
"canBeUsedToMatch": true
},
{
"id": "recommendation",
"type": "string",
"display": true,
"removed": false,
"required": false,
"displayName": "recommendation",
"defaultMatch": false,
"canBeUsedToMatch": true
},
{
"id": "risk_factors",
"type": "string",
"display": true,
"removed": false,
"required": false,
"displayName": "risk_factors",
"defaultMatch": false,
"canBeUsedToMatch": true
},
{
"id": "fraud_indicators",
"type": "string",
"display": true,
"removed": false,
"required": false,
"displayName": "fraud_indicators",
"defaultMatch": false,
"canBeUsedToMatch": true
},
{
"id": "ai_analysis",
"type": "string",
"display": true,
"removed": false,
"required": false,
"displayName": "ai_analysis",
"defaultMatch": false,
"canBeUsedToMatch": true
},
{
"id": "location",
"type": "string",
"display": true,
"removed": false,
"required": false,
"displayName": "location",
"defaultMatch": false,
"canBeUsedToMatch": true
},
{
"id": "ip_address",
"type": "string",
"display": true,
"removed": false,
"required": false,
"displayName": "ip_address",
"defaultMatch": false,
"canBeUsedToMatch": true
},
{
"id": "timestamp",
"type": "string",
"display": true,
"removed": false,
"required": false,
"displayName": "timestamp",
"defaultMatch": false,
"canBeUsedToMatch": true
},
{
"id": "session_id",
"type": "string",
"display": true,
"removed": false,
"required": false,
"displayName": "session_id",
"defaultMatch": false,
"canBeUsedToMatch": true
},
{
"id": "payment_method",
"type": "string",
"display": true,
"removed": false,
"required": false,
"displayName": "payment_method",
"defaultMatch": false,
"canBeUsedToMatch": true
},
{
"id": "ai_raw_score",
"type": "string",
"display": true,
"removed": false,
"required": false,
"displayName": "ai_raw_score",
"defaultMatch": false,
"canBeUsedToMatch": true
},
{
"id": "rule_based_score",
"type": "string",
"display": true,
"removed": false,
"required": false,
"displayName": "rule_based_score",
"defaultMatch": false,
"canBeUsedToMatch": true
}
],
"mappingMode": "autoMapInputData",
"matchingColumns": [],
"attemptToConvertTypes": false,
"convertFieldsToString": false
},
"options": {},
"operation": "append",
"sheetName": {
"__rl": true,
"mode": "list",
"value": "gid=0",
"cachedResultUrl": "https://docs.google.com/spreadsheets/d/1mKhcdDnwEwzLlvjze_7A0D9KJNWt58ByOxM3mBm5mqA/edit#gid=0",
"cachedResultName": "Sheet1"
},
"documentId": {
"__rl": true,
"mode": "list",
"value": "1mKhcdDnwEwzLlvjze_7A0D9KJNWt58ByOxM3mBm5mqA",
"cachedResultUrl": "https://docs.google.com/spreadsheets/d/1mKhcdDnwEwzLlvjze_7A0D9KJNWt58ByOxM3mBm5mqA/edit?usp=drivesdk",
"cachedResultName": "Fraud Detection data for flight"
},
"authentication": "serviceAccount"
},
"credentials": {
"googleApi": {
"id": "ScSS2KxGQULuPtdy",
"name": "Google Sheets- test"
}
},
"typeVersion": 4
},
{
"id": "2e8c8aed-cd8d-4ec3-83c7-9b3c351a216e",
"name": "レスポンス送信",
"type": "n8n-nodes-base.respondToWebhook",
"position": [
220,
120
],
"parameters": {
"options": {},
"respondWith": "json",
"responseBody": "={\n \"status\": \"processed\",\n \"risk_level\": \"{{$node['Enhanced Risk Calculator'].json.risk_level}}\",\n \"risk_score\": {{$node['Enhanced Risk Calculator'].json.risk_score}},\n \"recommendation\": \"{{$node['Enhanced Risk Calculator'].json.recommendation}}\",\n \"message\": \"Transaction analyzed: {{$node['Enhanced Risk Calculator'].json.risk_level}} risk detected\",\n \"actions_taken\": \"{{$node['Enhanced Risk Calculator'].json.risk_level === 'CRITICAL' ? 'User blocked, critical alert sent' : $node['Enhanced Risk Calculator'].json.risk_level === 'HIGH' ? 'Flagged for review, alert sent' : 'Logged for monitoring'}}\",\n \"fraud_indicators_count\": {{$node['Enhanced Risk Calculator'].json.fraud_indicators.length}},\n \"session_id\": \"{{ $('Extract Booking Data').item.json.body.session_id }}\"\n}"
},
"typeVersion": 1
},
{
"id": "2f2735be-f13e-4067-9bd5-e1a2c31abfc4",
"name": "AIエージェント",
"type": "@n8n/n8n-nodes-langchain.agent",
"position": [
-960,
120
],
"parameters": {
"text": "=Analyze this booking transaction for potential fraud patterns and suspicious behavior:\\n\\n**Transaction Details:**\\n- User ID: {{$node['Extract Booking Data'].json['user_id']}}\\n- Amount: ${{$node['Extract Booking Data'].json['booking_amount']}}\\n- Booking Time: {{$node['Extract Booking Data'].json['booking_time']}}\\n- IP Location: {{$node['IP Geolocation Check'].json['city']}}, {{$node['IP Geolocation Check'].json['country']}}\\n- Payment Method: {{$node['Extract Booking Data'].json['payment_method']}}\\n- Session ID: {{$node['Extract Booking Data'].json['session_id']}}\\n\\n**Please provide your analysis in the following JSON format:**\\n{\\n \\\"risk_score\\\": [number between 0-100],\\n \\\"risk_level\\\": \\\"[LOW/MEDIUM/HIGH/CRITICAL]\\\",\\n \\\"reasons\\\": [\\\"reason1\\\", \\\"reason2\\\", \\\"reason3\\\"],\\n \\\"fraud_indicators\\\": [\\\"indicator1\\\", \\\"indicator2\\\"],\\n \\\"recommendation\\\": \\\"[APPROVE/REVIEW/BLOCK]\\\"\\n}",
"options": {
"systemMessage": "You are an advanced fraud detection AI specialist with expertise in identifying suspicious booking patterns and fraudulent transactions. Your role is to analyze booking data comprehensively and identify potential fraud indicators.\\n\\n**Analysis Framework:**\\n1. **Amount Analysis**: Evaluate transaction amounts for unusual patterns (too high, too low, round numbers)\\n2. **Temporal Patterns**: Check for suspicious timing (late night bookings, rapid successive transactions)\\n3. **Geographic Risk**: Assess location-based risks and IP geolocation inconsistencies\\n4. **Payment Method Risk**: Evaluate payment method security levels\\n5. **Behavioral Anomalies**: Identify unusual booking patterns or session behaviors\\n\\n**Risk Scoring Guidelines:**\\n- 0-25: LOW risk - Normal transaction patterns\\n- 26-50: MEDIUM risk - Some concerning factors, monitor closely\\n- 51-75: HIGH risk - Multiple red flags, requires human review\\n- 76-100: CRITICAL risk - Severe fraud indicators, immediate action needed\\n\\n**Response Format**: Always respond with valid JSON containing risk_score, risk_level, reasons array, fraud_indicators array, and recommendation. Be specific and actionable in your analysis."
},
"promptType": "define"
},
"typeVersion": 1.9
},
{
"id": "fe64d367-c1b7-4d4b-b45c-bafce9d52948",
"name": "Google Gemini チャットモデル",
"type": "@n8n/n8n-nodes-langchain.lmChatGoogleGemini",
"position": [
-960,
340
],
"parameters": {
"options": {},
"modelName": "=models/gemini-2.5-pro"
},
"credentials": {
"googlePalmApi": {
"id": "RvSkIBjP48ORJKhU",
"name": "Google Gemini(PaLM) Api account - test"
}
},
"typeVersion": 1
},
{
"id": "8eb4697e-38b8-4629-9169-28b34cd3fafb",
"name": "ワークフロー概要",
"type": "n8n-nodes-base.stickyNote",
"position": [
-1160,
-580
],
"parameters": {
"width": 600,
"height": 200,
"content": "## Fraud Detection Workflow Overview\n\nThis workflow is designed to detect and manage fraudulent booking transactions by integrating various checks and AI-powered analysis. It processes incoming booking data, performs IP geolocation, enriches data with AI insights, calculates risk scores, and takes automated actions based on the risk level. Finally, it logs all transactions and sends appropriate notifications."
},
"typeVersion": 1
},
{
"id": "73367c54-cf16-4254-b9dd-0e8e2534235a",
"name": "データ取り込みメモ",
"type": "n8n-nodes-base.stickyNote",
"position": [
-1560,
320
],
"parameters": {
"color": 4,
"width": 500,
"height": 240,
"content": "## 1. Initial Data Ingestion & Extraction\n\n- **Booking Transaction Webhook**: This node acts as the entry point for the workflow, receiving incoming booking transaction data via a `POST` request to the `/fraud-detection` endpoint.\n- **Extract Booking Data**: This `Set` node extracts key booking details (user ID, amount, timestamp, IP address, payment method, location, session ID) from the incoming webhook payload, making them easily accessible for subsequent nodes."
},
"typeVersion": 1
},
{
"id": "817d9283-4967-485e-be6a-323613db855d",
"name": "位置情報 & AIメモ",
"type": "n8n-nodes-base.stickyNote",
"position": [
-1020,
480
],
"parameters": {
"color": 5,
"width": 600,
"height": 250,
"content": "## 2. IP Geolocation and AI Analysis\n\n- **IP Geolocation Check**: This `HTTP Request` node enriches the booking data by fetching geolocation details (city, country) based on the extracted IP address.\n- **AI Agent (Langchain)**: This AI Agent node uses the `Google Gemini Chat Model` to analyze the booking and geolocation data. It provides an AI-driven `risk_score`, `risk_level`, `reasons`, `fraud_indicators`, and `recommendation` in a structured JSON format.\n- **Google Gemini Chat Model**: This node provides the large language model capabilities to the AI Agent for fraud analysis."
},
"typeVersion": 1
},
{
"id": "a7fe1d15-9007-42b6-a2ec-f06cda926232",
"name": "リスク計算メモ",
"type": "n8n-nodes-base.stickyNote",
"position": [
-880,
-280
],
"parameters": {
"color": 6,
"width": 600,
"height": 260,
"content": "## 3. Risk Calculation and Decision Logic\n\n- **Enhanced Risk Calculator**: This `Code` node combines the AI-generated risk score with additional rule-based risk factors (e.g., amount, unusual time, payment method, IP geolocation status) to calculate a `combinedRiskScore` and `finalRiskLevel`.\n- **Critical Risk Check**: This `If` node checks if the `risk_level` is `CRITICAL`.\n- **High Risk Check**: This `If` node checks if the `risk_level` is `HIGH` or `MEDIUM`.\n\nBased on the risk level, the workflow branches into different paths for further action."
},
"typeVersion": 1
},
{
"id": "d5b0ffe4-cfdd-4c4b-a2a5-c57ea75b2193",
"name": "アクション & 通知メモ",
"type": "n8n-nodes-base.stickyNote",
"position": [
0,
-280
],
"parameters": {
"color": 3,
"width": 600,
"height": 240,
"content": "## 4. Action & Notification\n\n- **Block User Account**: If `CRITICAL` risk, this `HTTP Request` node triggers an external system to block the user.\n- **Gmail1**: If `CRITICAL` risk, this `Gmail` node sends a critical fraud alert email.\n- **Flag for Review**: If `HIGH` risk, this `HTTP Request` node flags the transaction for manual review in an external system.\n- **Gmail**: If `HIGH` risk, this `Gmail` node sends a high-risk transaction email for review."
},
"typeVersion": 1
},
{
"id": "ee5f8df1-f361-49ff-943c-78873c58b96a",
"name": "ロギング & レスポンスメモ",
"type": "n8n-nodes-base.stickyNote",
"position": [
40,
340
],
"parameters": {
"color": 2,
"width": 600,
"height": 200,
"content": "## 5. Logging & Response\n\n- **Log to Google Sheets**: This `Google Sheets` node logs all transaction details, risk analysis, and actions taken to a Google Sheet for record-keeping and auditing.\n- **Send Response**: This `Respond to Webhook` node sends a final JSON response back to the originating system, summarizing the fraud analysis status, risk level, score, recommendation, and actions taken for the session."
},
"typeVersion": 1
},
{
"id": "c751fd4f-a299-4144-a008-c4bf0c87d7b2",
"name": "メッセージ送信",
"type": "n8n-nodes-base.gmail",
"position": [
-200,
-180
],
"webhookId": "72497b63-f6a0-4d82-9560-781bed9c28c0",
"parameters": {
"sendTo": "abc@gmail.com",
"message": "=<h2 style='color: #d32f2f;'>🚨 CRITICAL FRAUD ALERT</h2><div style='background-color: #ffebee; padding: 15px; border-left: 4px solid #d32f2f; margin: 10px 0;'> <h3>Transaction Details</h3> <ul> <li><strong>User ID:</strong> {{ $('Extract Booking Data').item.json.body.user_id }}</li> <li><strong>Amount:</strong> ${{ $('Extract Booking Data').item.json.body.amount }}</li> <li><strong>Risk Score:</strong> {{$json.risk_score}}/100</li> <li><strong>Risk Level:</strong> {{$json.risk_level}}</li> <li><strong>Recommendation:</strong> {{$json.recommendation}}</li> <li><strong>Location:</strong> {{$json.location}}</li> <li><strong>IP Address:</strong> {{ $('Extract Booking Data').item.json.body.ip_address }}</li> <li><strong>Payment Method:</strong> {{ $('Extract Booking Data').item.json.body.payment_method }}=</li> </ul></div><div style='background-color: #fff3e0; padding: 15px; border-left: 4px solid #f57c00; margin: 10px 0;'> <h3>Risk Factors Identified</h3> <ul> {{$json.risk_factors}} <li></li> </ul></div><div style='background-color: #fce4ec; padding: 15px; border-left: 4px solid #e91e63; margin: 10px 0;'> <h3>Fraud Indicators</h3> <ul> {{$json.fraud_indicators}} <li></li> </ul></div><div style='background-color: #e3f2fd; padding: 15px; border-left: 4px solid #1976d2; margin: 10px 0;'> <h3>Additional Information</h3> <ul> <li><strong>Timestamp:</strong> {{$json.timestamp}}</li> <li><strong>Session ID:</strong>{{ $('Extract Booking Data').item.json.body.session_id }} </li> <li><strong>AI Score:</strong> {{$json.ai_raw_score}}/100</li> <li><strong>Rule-based Score:</strong> {{$json.rule_based_score}}/100</li> </ul></div><div style='background-color: #ffcdd2; padding: 15px; border: 2px solid #d32f2f; margin: 20px 0; text-align: center;'> <h3 style='color: #d32f2f; margin: 0;'>⚠️ IMMEDIATE ACTION REQUIRED ⚠️</h3> <p style='margin: 10px 0;'>This transaction has been flagged as CRITICAL risk. Please investigate immediately.</p></div><hr><p style='font-size: 12px; color: #666;'>Generated by Fraud Detection System | {{$json.timestamp}}</p>",
"options": {},
"subject": "=🚨 CRITICAL FRAUD ALERT - {{ $('Extract Booking Data').item.json.body.user_id }} - ${{ $('Extract Booking Data').item.json.body.amount }}"
},
"credentials": {
"gmailOAuth2": {
"id": "PcTqvGU9uCunfltE",
"name": "Gmail account - test"
}
},
"typeVersion": 2.1
},
{
"id": "18e9486f-00d9-41eb-ae4a-53a850965e5c",
"name": "メッセージ送信1",
"type": "n8n-nodes-base.gmail",
"position": [
-200,
200
],
"webhookId": "158386a0-0723-4f83-9ce7-ab38e739682c",
"parameters": {
"sendTo": "abc@gmail.com",
"message": "=<h2 style='color: #f57c00;'>⚠️ HIGH RISK BOOKING DETECTED</h2><div style='background-color: #fff8e1; padding: 15px; border-left: 4px solid #f57c00; margin: 10px 0;'> <h3>Transaction Summary</h3> <ul> <li><strong>User ID:</strong>{{ $('Extract Booking Data').item.json.body.user_id }}</li> <li><strong>Amount:</strong> ${{ $('Extract Booking Data').item.json.body.amount }}</li> <li><strong>Risk Score:</strong> {{$json.risk_score}}/100</li> <li><strong>Risk Level:</strong> {{$json.risk_level}}</li> <li><strong>Recommendation:</strong> {{$json.recommendation}}</li> <li><strong>Location:</strong> {{$json.location}}</li> <li><strong>Payment Method:</strong>{{ $('Extract Booking Data').item.json.body.payment_method }}</li> </ul></div><div style='background-color: #fce4ec; padding: 15px; border-left: 4px solid #e91e63; margin: 10px 0;'> <h3>Risk Analysis</h3> <ul> {{$json.risk_factors}} <li></li> </ul></div><div style='background-color: #e8f5e8; padding: 15px; border-left: 4px solid #4caf50; margin: 10px 0;'> <h3>Recommended Actions</h3> <ul> <li>Review transaction history for this user</li> <li>Verify payment method authenticity</li> <li>Check for pattern similarities with known fraud cases</li> <li>Consider temporary account restrictions if needed</li> </ul></div><p style='margin-top: 20px;'><strong>Session ID:</strong>{{ $('Extract Booking Data').item.json.body.session_id }}</p><p><strong>Timestamp:</strong> {{$json.timestamp}}</p><hr><p style='font-size: 12px; color: #666;'>Fraud Monitoring System | Please review within 24 hours</p>",
"options": {},
"subject": "=⚠️ High Risk Transaction - Review Required - {{ $('Extract Booking Data').item.json.body.user_id }} "
},
"credentials": {
"gmailOAuth2": {
"id": "PcTqvGU9uCunfltE",
"name": "Gmail account - test"
}
},
"typeVersion": 2.1
}
],
"active": false,
"pinData": {},
"settings": {
"executionOrder": "v1"
},
"versionId": "96fe125c-cc90-4c67-a256-f6f59f7bbc91",
"connections": {
"2f2735be-f13e-4067-9bd5-e1a2c31abfc4": {
"main": [
[
{
"node": "5a9d3b88-ddb3-46dc-93f1-3f142cba5050",
"type": "main",
"index": 0
}
]
]
},
"770d0bee-3c76-44d8-9636-95ce05a71ad0": {
"main": [
[
{
"node": "0b8dd1bc-b61d-4fc1-a36f-6cac7505228e",
"type": "main",
"index": 0
},
{
"node": "18e9486f-00d9-41eb-ae4a-53a850965e5c",
"type": "main",
"index": 0
}
]
]
},
"dddfa887-aef3-4a39-8f39-6d6bf663cc47": {
"main": [
[
{
"node": "da250ec0-9f4a-459a-8764-a54f18f1bee7",
"type": "main",
"index": 0
},
{
"node": "c751fd4f-a299-4144-a008-c4bf0c87d7b2",
"type": "main",
"index": 0
}
]
]
},
"940ec478-de93-4595-a391-8aefb170b5d9": {
"main": [
[
{
"node": "e138c720-be0f-4182-8cc7-a5b9ea0cfbd5",
"type": "main",
"index": 0
}
]
]
},
"e138c720-be0f-4182-8cc7-a5b9ea0cfbd5": {
"main": [
[
{
"node": "2f2735be-f13e-4067-9bd5-e1a2c31abfc4",
"type": "main",
"index": 0
}
]
]
},
"fe50e27a-a223-4d1e-926b-eb52b308cb0e": {
"main": [
[
{
"node": "2e8c8aed-cd8d-4ec3-83c7-9b3c351a216e",
"type": "main",
"index": 0
}
]
]
},
"5a9d3b88-ddb3-46dc-93f1-3f142cba5050": {
"main": [
[
{
"node": "dddfa887-aef3-4a39-8f39-6d6bf663cc47",
"type": "main",
"index": 0
},
{
"node": "770d0bee-3c76-44d8-9636-95ce05a71ad0",
"type": "main",
"index": 0
},
{
"node": "fe50e27a-a223-4d1e-926b-eb52b308cb0e",
"type": "main",
"index": 0
}
]
]
},
"fe64d367-c1b7-4d4b-b45c-bafce9d52948": {
"ai_languageModel": [
[
{
"node": "2f2735be-f13e-4067-9bd5-e1a2c31abfc4",
"type": "ai_languageModel",
"index": 0
}
]
]
},
"664a521a-7b7c-4a9a-ae3a-06cb326d6923": {
"main": [
[
{
"node": "940ec478-de93-4595-a391-8aefb170b5d9",
"type": "main",
"index": 0
}
]
]
}
}
}よくある質問
このワークフローの使い方は？
上記のJSON設定コードをコピーし、n8nインスタンスで新しいワークフローを作成して「JSONからインポート」を選択、設定を貼り付けて認証情報を必要に応じて変更してください。
このワークフローはどんな場面に適していますか？
上級 - セキュリティ運用, AI要約
有料ですか？
このワークフローは完全無料です。ただし、ワークフローで使用するサードパーティサービス（OpenAI APIなど）は別途料金が発生する場合があります。
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ワークフロー情報
難易度
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ノード数20
カテゴリー2
ノードタイプ11
作成者
Oneclick AI Squad
@oneclick-aiThe AI Squad Initiative is a pioneering effort to build, automate and scale AI-powered workflows using n8n.io. Our mission is to help individuals and businesses integrate AI agents seamlessly into their daily operations from automating tasks and enhancing productivity to creating innovative, intelligent solutions. We design modular, reusable AI workflow templates that empower creators, developers and teams to supercharge their automation with minimal effort and maximum impact.
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