Forward to: Fraud Team

Fraud Prevention
Workflows

Ten agent workflows for the Fraud Team — automated fraudulent seller detection, fake review network identification, payment fraud domain analysis, account takeover prevention, drop-shipping scam detection, return fraud pattern recognition, promotional abuse identification, merchant identity verification, fraud ring mapping, and fraud prevention dashboard generation — providing comprehensive domain-level intelligence that transforms e-commerce fraud prevention.

1Fraudulent Seller Detection

AI agent detects fraudulent sellers by analyzing domain registration patterns, web presence legitimacy, business verification signals, and coordinated behavior to identify fake merchants before they can defraud customers on your marketplace.

1
Screen New Seller Applications
/about /products /contact /legal Domain Ages OpenPageRank Web Filtering
SELLER APPLICATION SCREENING — WEEKLY BATCH (42 APPLICATIONS) ════════════════════════════════════════════════════════════ APPLICATIONS THIS WEEK: 42 AUTO-APPROVED: 28 (passed all checks) FLAGGED FOR REVIEW: 14 FLAGGED APPLICATIONS: HIGH RISK — LIKELY FRAUDULENT (4 applications): premium-deals-outlet.xyz Domain Age: 6 days | PageRank: 0.1 /about: Template text, stock photos /contact: Gmail address, no phone, no physical address /legal: No terms of service Web Filtering: "Newly Observed Domain" MATCHES: Known fraud pattern — template store + .xyz TLD MODERATE RISK (6 applications): Domain age 30-90 days | Some business pages present Missing /legal or /contact information Need manual verification before approval LOW RISK — CONDITIONAL APPROVE (4 applications): Domain age > 6 months | Basic web presence Minor documentation gaps, likely legitimate Approve with enhanced monitoring for first 30 days
2
Detect Coordinated Application Patterns
Coordinated Fraud
Batch Fraud Application Detected — 4 high-risk applications share identical hosting infrastructure, were registered within 48 hours of each other, and use the same /about page template. This pattern matches a known fraud ring that previously targeted 3 other marketplaces. Estimated potential fraud exposure if approved: $180K-$340K in customer losses.
FRAUD RING — 4 coordinated applications from same operator
3
Generate Seller Screening Report

Seller Application Screening Report

WEEKLY SCREENING SUMMARY ──────────────────────────────────────── Applications: 42 | Auto-approved: 28 (67%) Flagged: 14 | Likely fraudulent: 4 Fraud ring detected: 1 (4 coordinated applications) Potential loss prevented: $180K-$340K SCREENING ACTIONS 1. Reject 4 fraud ring applications — report to anti-fraud network 2. Manual review 6 moderate-risk applications 3. Approve 4 low-risk with 30-day enhanced monitoring 4. Update fraud fingerprint database with new ring pattern

2Payment Fraud Domain Analysis

AI agent analyzes domains associated with payment fraud by identifying phishing checkout pages, fake payment processors, and compromised merchant domains to protect customers and prevent chargebacks across your platform.

1
Scan for Fraudulent Payment Domains
/login /products /security Domain Ages Web Filtering OpenPageRank
PAYMENT FRAUD DOMAIN ANALYSIS — MARKETPLACE ECOSYSTEM ════════════════════════════════════════════════════════════ PAYMENT-RELATED DOMAINS SCANNED: 2,400 FRAUDULENT DOMAINS DETECTED: 18 PHISHING CHECKOUT PAGES: secure-checkout-market.com Domain Age: 3 days | Web Filtering: Phishing /login: Exact clone of our checkout page ACTIVE: Harvesting payment card data payment-verify-now.com Domain Age: 8 days | Web Filtering: Malware /security: Fake "security verification" portal ACTIVE: Credential phishing + malware delivery FAKE PAYMENT PROCESSORS (4 domains): Impersonating legitimate payment gateways /api pages mimicking real payment provider documentation Used by fraudulent sellers on our marketplace COMPROMISED MERCHANT DOMAINS (6 domains): Legitimate seller domains with injected payment skimmers Web Filtering: Flagged as "compromised" Customer payment data at risk on these seller pages
2
Assess Customer Exposure
Payment Threat
6 Seller Domains Compromised — Web Filtering detects payment card skimmer scripts on 6 active seller domains. These sellers processed an estimated 2,400 orders in the past 30 days. Customer payment card data from these transactions is potentially compromised. Immediate notification and remediation required.
EMERGENCY — 2,400 customer payment cards potentially compromised
3
Generate Payment Fraud Report

Payment Fraud Intelligence Report

PAYMENT FRAUD SUMMARY ──────────────────────────────────────── Phishing checkout pages: 8 active Fake payment processors: 4 domains Compromised seller domains: 6 (2,400 orders affected) Estimated exposure: $480K in potential chargebacks EMERGENCY ACTIONS 1. Suspend 6 compromised seller domains immediately 2. Notify 2,400 affected customers to monitor cards 3. Report 8 phishing domains for emergency takedown 4. Implement real-time seller domain health monitoring

3Account Takeover Prevention

AI agent prevents account takeover attacks by monitoring for phishing domains targeting your customers, credential stuffing infrastructure, and social engineering sites that impersonate your brand to steal customer login credentials.

1
Detect Credential Theft Infrastructure
/login /about /contact Domain Ages Web Filtering Countries
ACCOUNT TAKEOVER THREAT DETECTION ════════════════════════════════════════════════════════════ BRAND LOGIN CLONES DETECTED: 14 CREDENTIAL THEFT SITES: 8 active ACTIVE THREATS: marketplace-account-verify.com Domain Age: 2 days | Web Filtering: Phishing /login: Pixel-perfect clone of our login page Country: Russia THREAT: Active credential harvesting via email campaigns account-security-update.net Domain Age: 5 days | Web Filtering: Phishing /about: "Mandatory security update for your account" THREAT: Social engineering via fake security notifications CREDENTIAL STUFFING INFRASTRUCTURE: 4 domains hosting automated login tools /api: Endpoints for batch credential testing Web Filtering: "Hacking Tools" classification These tools target our login endpoint with stolen credentials
2
Assess Account Takeover Risk
ATO Risk
Coordinated ATO Campaign — 14 login clone domains and 4 credential stuffing tool domains suggest an organized attack campaign targeting our marketplace. Email campaign analysis shows phishing emails referencing marketplace-account-verify.com distributed to an estimated 50,000 recipients. If 2% click rate with 10% credential capture, approximately 1,000 accounts are at risk.
ACTIVE CAMPAIGN — Estimated 1,000 customer accounts at risk
3
Generate ATO Prevention Report

Account Takeover Prevention Report

THREAT ASSESSMENT ──────────────────────────────────────── Login clone domains: 14 | Credential stuffing tools: 4 Estimated accounts at risk: ~1,000 Active phishing campaigns: 2 (email + social engineering) PREVENTION ACTIONS 1. Emergency takedown of 14 login clone domains 2. Force password reset for accounts showing suspicious login patterns 3. Deploy additional rate limiting on login endpoint 4. Send security alert to all customers about phishing campaign

4Drop-Shipping Scam Detection

AI agent detects fraudulent drop-shipping operations by analyzing seller domain patterns, cross-platform listing matching, and supply chain signals to identify sellers who list products they cannot fulfill or source from unauthorized channels.

1
Identify Drop-Shipping Fraud Patterns
/products /about /pricing Domain Ages Countries Web Filtering
DROP-SHIPPING SCAM DETECTION — MARKETPLACE SCAN ════════════════════════════════════════════════════════════ SELLERS ANALYZED: 2,340 SUSPECTED DROP-SHIPPING SCAMS: 34 SCAM PATTERNS DETECTED: PATTERN 1: "AliExpress Arbitrage" (18 sellers) Product images match AliExpress listings exactly Pricing: 3-5x markup over AliExpress source /about pages: Generic, template-based, no unique content Domain ages: All under 60 days Shipping times: 14-45 days (direct from China) IMPACT: Customers receive cheap knockoffs at premium prices PATTERN 2: "Out-of-Stock Arbitrage" (12 sellers) Products listed that are discontinued on manufacturer sites Cross-referencing manufacturer /products pages: items removed Sellers accepting orders they cannot fulfill PATTERN 3: "Phantom Inventory" (4 sellers) /products lists 500+ items but domain has no warehouse signals /about claims "local warehouse" but Country data shows offshore No legitimate supply chain — pure fraud
2
Assess Customer Impact
Fulfillment Fraud
$890K Monthly GMV at Risk — 34 suspected drop-shipping scam sellers have combined monthly sales of $890K on our marketplace. Customer complaint rate for these sellers is 4.2x the marketplace average. Return rate is 3.8x average. Each fraudulent order costs the marketplace an estimated $24 in processing, returns, and customer service.
HIGH IMPACT — $890K monthly GMV from suspected fraud sellers
3
Generate Drop-Ship Fraud Report

Drop-Shipping Fraud Report

FRAUD ASSESSMENT ──────────────────────────────────────── Suspected scam sellers: 34 Monthly GMV at risk: $890K Customer complaint rate: 4.2x marketplace average Return rate: 3.8x marketplace average ENFORCEMENT PLAN 1. Suspend 18 AliExpress arbitrage sellers (clear pattern) 2. Remove 4 phantom inventory sellers immediately 3. Place 12 out-of-stock arbitrage sellers on probation 4. Implement supply chain verification for new seller onboarding

5Promotional Abuse & Coupon Fraud Detection

AI agent detects promotional abuse by monitoring coupon aggregator domains, discount code sharing networks, and coordinated exploitation patterns to protect your promotional budgets from fraudulent redemption and abuse.

1
Monitor Coupon Leak Domains
/products /blog /about Domain Ages OpenPageRank Web Filtering
PROMOTIONAL ABUSE DETECTION — COUPON LEAK ANALYSIS ════════════════════════════════════════════════════════════ COUPON SHARING DOMAINS DETECTED: 48 OUR CODES FOUND ON: 22 external domains COUPON LEAK SOURCES: BULK SHARING SITES (8 domains): coupon-vault-2026.com — Lists our employee discount code promo-codes-unlimited.net — 12 of our active codes listed Employee code "STAFF40" leaked — 40% discount for all users Estimated abuse: $42K in unauthorized discounts this month AFFILIATE COUPON ABUSE (6 domains): Affiliates sharing exclusive codes beyond authorized channels /blog posts with codes meant for specific campaigns Diluting promotional effectiveness and inflating affiliate commissions BROWSER EXTENSION DOMAINS (8 domains): Auto-apply coupon tools intercepting checkout /products: Chrome/Firefox extensions that test all known codes Legal gray area — but reducing promotional ROI by 35%
2
Quantify Promotional Revenue Leakage
Revenue Leak
$180K Monthly Promotional Leakage — Analysis of coupon domain ecosystem shows $42K from leaked employee codes, $68K from over-broad affiliate code sharing, and $70K from browser extension auto-apply intercepting checkout. Combined, promotional abuse is costing $180K/month in unauthorized discounts — 34% of total promotional budget.
REVENUE LEAK — $180K/month in promotional abuse (34% of budget)
3
Generate Promotional Abuse Report

Promotional Abuse Intelligence Report

ABUSE SUMMARY ──────────────────────────────────────── Coupon sharing domains: 22 with our codes Monthly leakage: $180K (34% of promotional budget) Employee code leak: STAFF40 code on 8 public domains Browser extension impact: $70K/month in auto-applied discounts REMEDIATION PLAN 1. Revoke STAFF40 immediately — issue new employee codes 2. Implement single-use coupon codes to prevent sharing 3. Restrict affiliate codes to referral-URL-only activation 4. Deploy coupon interception prevention at checkout

6Return Fraud Pattern Recognition

AI agent identifies return fraud patterns by analyzing cross-marketplace seller and buyer behavior signals, domain-linked accounts, and coordinated return scheme indicators to reduce fraudulent return losses.

1
Detect Return Fraud Networks
/about /blog /products Domain Ages Web Filtering
RETURN FRAUD PATTERN ANALYSIS ════════════════════════════════════════════════════════════ RETURN FRAUD DOMAINS DETECTED: 12 ORGANIZED RETURN FRAUD INFRASTRUCTURE: "RETURN BROKER" DOMAINS (4): easy-returns-service.com — Age: 45 days /about: "We handle returns for you — guaranteed refund" /products: Service tiers — $20 per return processed /blog: "How to get refunds from any marketplace" Web Filtering: Flagged as "Deceptive" Professional return fraud service targeting our marketplace "WARDROBING" COORDINATION SITES (3): /blog: Tutorials on buying, using, and returning products /about: "Smart shopping community" Coordinating buy-use-return schemes across marketplaces "RECEIPT FRAUD" TOOLS (5): /products: Receipt generator software /blog: "Create return receipts for any retailer" Tools used to fabricate purchase records for false returns
2
Quantify Return Fraud Exposure
Return Fraud
easy-returns-service.com Targeting Our Marketplace — /products page specifically lists our marketplace as a supported retailer. /blog contains step-by-step guides using our return process. Cross-referencing domain user patterns with our return data shows 340 returns in the last 30 days match the tactics described — estimated loss: $68K.
TARGETED — Professional return fraud service targeting our platform
3
Generate Return Fraud Report

Return Fraud Intelligence Report

RETURN FRAUD SUMMARY ──────────────────────────────────────── Professional fraud services targeting us: 4 domains Wardrobing networks: 3 coordination sites Receipt fraud tools: 5 domains Estimated monthly losses: $68K from identified patterns COUNTER-FRAUD MEASURES 1. Flag 340 returns matching fraud service tactics for review 2. Report easy-returns-service.com to hosting provider 3. Implement return velocity limits per account 4. Add domain-based fraud scoring to return approval process

7Merchant Identity Verification

AI agent verifies merchant identities by cross-referencing business claims against domain intelligence, corporate registry signals, and web presence patterns to ensure sellers are who they claim to be and operate legitimate businesses.

1
Cross-Verify Merchant Business Claims
/about /contact /legal /products Domain Ages Countries OpenPageRank
MERCHANT IDENTITY VERIFICATION — BATCH AUDIT ════════════════════════════════════════════════════════════ MERCHANTS AUDITED: 120 (random sample) IDENTITY DISCREPANCIES: 18 VERIFICATION RESULTS: FULLY VERIFIED (84 merchants — 70%): Domain matches business registration /about claims consistent with /legal documentation /contact address verified | Country data matches MINOR DISCREPANCIES (18 merchants — 15%): /about employee count inflated vs /careers listings /legal business name differs from domain registration Country of registration differs from /contact address IDENTITY FRAUD DETECTED (18 merchants — 15%): luxury-watches-authorized.com Claims: "Authorized Rolex dealer, est. 2008" Reality: Domain age: 4 months | Country: China /about: Stock photos, fabricated testimonials /legal: Business registration number is invalid FRAUD: Impersonating authorized luxury dealer
2
Detect Identity Fabrication Patterns
Identity Fraud
18 Merchants with Fabricated Identities — 15% of audited merchants show significant identity discrepancies. Common pattern: claiming established business history (/about: "since 2008") but domain registered within last 6 months. 8 merchants use identical /legal templates suggesting they are operated by the same entity using multiple fake identities.
IDENTITY FRAUD — 8 merchants likely single entity with fake identities
3
Generate Identity Verification Report

Merchant Identity Verification Report

VERIFICATION AUDIT ──────────────────────────────────────── Sample size: 120 | Fully verified: 84 (70%) Minor discrepancies: 18 (15%) Identity fraud detected: 18 (15%) Coordinated fraud ring: 1 (8 merchants, same operator) ENFORCEMENT ACTIONS 1. Suspend 18 identity fraud merchants immediately 2. Investigate 8-merchant ring for additional connected accounts 3. Require re-verification from 18 minor discrepancy merchants 4. Implement domain-based identity verification for all new signups

8Fraud Ring Mapping & Network Analysis

AI agent maps fraud rings by analyzing shared infrastructure patterns, domain registration connections, and coordinated behavior across seller and buyer accounts to identify organized fraud operations targeting your marketplace.

1
Map Fraud Network Infrastructure
/about /products /contact /legal Domain Ages Countries Web Filtering
FRAUD RING NETWORK MAP — INFRASTRUCTURE ANALYSIS ════════════════════════════════════════════════════════════ RING 1: "SOUTHEAST ASIA COUNTERFEIT NETWORK" Connected domains: 34 Seller accounts on our marketplace: 12 Shared infrastructure: Same hosting IP block (103.x.x.x) Shared registration: Same privacy registrar service /about pages: Same template with minor variations /legal: Identical terms of service across all domains /contact: All list addresses within same postal code Countries: Vietnam, Thailand, Cambodia FINANCIAL IMPACT: Combined GMV: $1.2M/month Customer complaints: 892 in last 90 days Chargeback rate: 8.4% (vs. 0.6% marketplace average) Estimated customer losses: $340K in 90 days
2
Identify Ring Expansion Patterns
Ring Expansion
Ring Expanding — 8 New Domains in Pipeline — Domain intelligence detects 8 newly registered domains with matching infrastructure fingerprints (same hosting, registrar, /about template). These domains are not yet active on our marketplace but match the application pattern of the existing 12 ring members. Expect new fraudulent seller applications within 7-14 days.
EXPANDING — 8 new domains preparing to apply to marketplace
3
Generate Fraud Ring Intelligence Report

Fraud Ring Intelligence Report

RING ANALYSIS: SE ASIA COUNTERFEIT NETWORK ──────────────────────────────────────── Connected domains: 34 | On our marketplace: 12 sellers Pipeline domains: 8 (preparing to apply) Financial impact: $340K customer losses in 90 days Chargeback rate: 8.4% (14x above average) TAKEDOWN PLAN 1. Suspend all 12 ring-connected seller accounts simultaneously 2. Blacklist 34 domains + 8 pipeline domains from future applications 3. Block hosting IP range from seller onboarding 4. Share ring fingerprints with marketplace anti-fraud consortium

9Ad Fraud & Click Fraud Detection

AI agent detects advertising and click fraud by analyzing traffic source domains, bot infrastructure, and fraudulent referral patterns to protect your advertising spend from invalid clicks and fake traffic that inflate costs without delivering real customers.

1
Analyze Traffic Source Legitimacy
/about /blog /products Domain Ages OpenPageRank Web Filtering
AD FRAUD DETECTION — TRAFFIC SOURCE ANALYSIS ════════════════════════════════════════════════════════════ REFERRING DOMAINS ANALYZED: 1,200 FRAUDULENT TRAFFIC SOURCES: 42 FRAUDULENT TRAFFIC PATTERNS: BOT TRAFFIC FARMS (18 domains): PageRank: All below 1.0 | Domain ages: Under 30 days Web Filtering: Flagged as "Bot Traffic" or "Click Farm" Estimated fake clicks: 24,000/month ($48K wasted ad spend) AFFILIATE CLICK FRAUD (14 domains): Affiliates using redirect chains and click injection /about pages: Non-existent or template content Domain pattern: Random character strings + .xyz TLDs Generating fake clicks to inflate affiliate commissions COMPETITOR CLICK FRAUD (10 domains): Domains registered with competitor-adjacent names Automated clicking on our paid ads to drain budget Pattern: High click volume, zero conversion Estimated budget drain: $22K/month in wasted paid search spend
2
Quantify Ad Fraud Impact
Click Fraud
$70K Monthly Ad Waste — Combining bot traffic farms ($48K), affiliate click fraud ($estimated $12K in false commissions), and competitor click attacks ($22K), your advertising budget is losing $70K/month to fraudulent activity. This represents 58% of your total paid advertising budget being consumed by non-human or fraudulent traffic.
CRITICAL — 58% of ad budget consumed by fraudulent traffic
3
Generate Ad Fraud Report

Ad Fraud Intelligence Report

AD FRAUD SUMMARY ──────────────────────────────────────── Fraudulent traffic sources: 42 domains Monthly ad waste: $70K (58% of ad budget) Bot traffic farms: 18 domains ($48K/month) Competitor click attacks: 10 domains ($22K/month) FRAUD PREVENTION MEASURES 1. Block 42 fraudulent domains from all ad campaigns 2. Implement domain-based traffic quality scoring 3. Report competitor click fraud to ad networks 4. Deploy pre-bid domain filtering — save $70K/month

10Fraud Prevention Dashboard

AI agent generates comprehensive fraud prevention dashboards by combining seller screening results, payment fraud detection, ATO prevention metrics, and fraud ring intelligence into a unified view for executive fraud management oversight.

1
Compile Fraud Prevention Metrics
/about /products /login Domain Ages Web Filtering OpenPageRank
FRAUD PREVENTION DASHBOARD — FEBRUARY 2026 ════════════════════════════════════════════════════════════ FRAUD PREVENTION INDEX: 62/100 Seller Screening: 72/100 Applications screened: 42/week | Fraud blocked: 4/week False positive rate: 8% (room for improvement) Payment Security: 54/100 Phishing domains active: 8 | Compromised sellers: 6 Customer cards at risk: 2,400 Account Protection: 58/100 Login clone domains: 14 | ATO attempts blocked: 340/day Credential stuffing attempts: 12,000/day Fraud Ring Coverage: 64/100 Rings identified: 3 | Ring members on platform: 28 Pipeline domains tracked: 22 TOTAL FRAUD LOSSES (MONTHLY): Prevented: $680K Not prevented: $420K (payment, returns, ad fraud, promos)
2
Identify Prevention Gaps
Prevention Gap
Payment Security — Weakest Pillar — At 54/100, payment security is the lowest-scoring fraud dimension. 6 compromised seller domains with active card skimmers and 8 phishing checkout clones represent the highest customer impact risk. Industry leaders score 80+ on payment security. Implementing real-time seller domain monitoring would improve this to 75+ within 30 days.
CRITICAL — Payment security 26 points below industry best practice
3
Track Prevention Effectiveness
Fraud Prevention Index — Quarterly Trend
Q1 2025 Index: 48/100 — Prevented: $320K | Losses: $680K
Q2 2025 Index: 52/100 — Prevented: $420K | Losses: $580K
Q3 2025 Index: 56/100 — Prevented: $540K | Losses: $520K
Q4 2025 Index: 62/100 — Prevented: $680K | Losses: $420K
Q1 2026 Target: 78/100 — Focus on payment (54→75) and ATO (58→72)
4
Generate Fraud Prevention Executive Report

Fraud Prevention Executive Report

FRAUD INDEX: 62/100 (Target: 78) ──────────────────────────────────────── Monthly prevented: $680K | Monthly losses: $420K Prevention ratio: 1.6:1 (target: 4:1) Worst dimension: Payment Security (54/100) Trend: +14 points over 4 quarters EXECUTIVE PRIORITIES 1. Fix payment security — suspend 6 compromised sellers, takedown 8 phishing sites 2. Dismantle SE Asia fraud ring — remove 12 sellers, block 8 pipeline 3. Deploy ad fraud filtering — save $70K/month 4. Target 4:1 prevention ratio by Q3 2026
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