Prevent Affiliate Fraud & Stop Fake Conversions
Protect your referral program from manipulation. IPASIS detects bot traffic, proxy abuse, and fake accounts used to game affiliate commissions — ensuring you only pay for real, legitimate referrals.
Common Affiliate Fraud Tactics
Bot Click Farms
Fraudulent affiliates use bots to generate thousands of fake clicks and conversions, draining your commission budget with zero real customers.
Self-Referral Abuse
Affiliates create multiple accounts with VPNs and disposable emails to refer themselves, collecting commissions on their own purchases.
Cookie Stuffing
Malicious scripts inject affiliate cookies without user knowledge, claiming credit for conversions they didn't drive.
How IPASIS Detects Affiliate Fraud
IP Reputation Analysis
Flags IPs with a history of affiliate fraud, click fraud, or belonging to known click farms and bot networks.
Proxy & VPN Detection
Identifies users hiding behind VPNs, proxies, or Tor to create multiple accounts and exploit self-referral programs.
Datacenter IP Detection
Real users don't shop from AWS or DigitalOcean. Flags conversions from hosting providers commonly used for bot farms.
Email Validation
Detects disposable emails and newly created domains used to bypass duplicate account checks and abuse referral bonuses.
Implementation Example
Validate affiliate-driven signups and conversions before crediting commissions:
// Affiliate conversion handler (Node.js example)
import axios from 'axios';
app.post('/api/track-conversion', async (req, res) => {
const {
affiliateId,
email,
orderId,
amount
} = req.body;
const userIP = req.ip;
try {
// Validate conversion with IPASIS
const ipasisResponse = await axios.post(
'https://api.ipasis.com/check',
{
ip: userIP,
email: email
},
{
headers: {
'Authorization': `Bearer ${process.env.IPASIS_API_KEY}`,
'Content-Type': 'application/json'
}
}
);
const { trustScore, signals } = ipasisResponse.data;
// Determine fraud risk level
let fraudRisk = 'low';
let approveCommission = true;
if (trustScore < 30) {
fraudRisk = 'high';
approveCommission = false;
await logFraudulentConversion({
affiliateId,
email,
ip: userIP,
orderId,
amount,
trustScore,
signals,
blocked: true
});
// Block commission payment
return res.status(200).json({
tracked: true,
commissionApproved: false
});
}
if (trustScore < 60) {
fraudRisk = 'moderate';
approveCommission = false; // Hold for review
}
// Record conversion with fraud metadata
await recordAffiliateConversion({
affiliateId,
email,
orderId,
amount,
userIP,
trustScore,
fraudRisk,
commissionApproved: approveCommission,
ipasisSignals: signals,
timestamp: new Date()
});
// Auto-approve high-quality conversions (trustScore >= 60)
if (approveCommission) {
const commission = calculateCommission(amount, affiliateId);
await creditAffiliateCommission({
affiliateId,
conversionId: orderId,
amount: commission,
status: 'approved'
});
} else {
// Queue for manual review
await queueForReview({
affiliateId,
conversionId: orderId,
reason: 'Low trust score',
trustScore
});
}
res.json({
tracked: true,
commissionApproved: approveCommission,
fraudRisk
});
} catch (error) {
console.error('IPASIS validation failed:', error);
// Fallback: track conversion but hold commission
await recordAffiliateConversion({
affiliateId,
email,
orderId,
amount,
commissionApproved: false,
flaggedForReview: true,
error: 'IPASIS_CHECK_FAILED'
});
res.json({
tracked: true,
commissionApproved: false
});
}
});💡 Best Practice: Implement a two-tier system: auto-approve high-trust conversions (>70), hold moderate risk (40-70) for review, and auto-reject high risk (<40). Review patterns monthly to adjust thresholds.
ROI of Fraud Prevention
Average annual savings per program
Reduction in fraudulent conversions
Average integration time
Stop Paying for Fake Conversions
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