Fraud Alert: IPRN Attacks Up 342%

Premium Rate Number Detection: Stop SMS Toll Fraud Before It Costs $127K

International Premium Rate Number (IPRN) fraud silently drains marketing budgets through artificial SMS traffic. Learn how real-time premium rate detection stops revenue sharing schemes before they start.

$127K
Average Annual Loss
342%
Attack Increase (2024)
94%
Fraud Reduction
50ms
Detection Speed

What is International Premium Rate Number (IPRN) Fraud?

IPRN fraud, also known as revenue sharing fraud or SMS toll fraud, exploits the revenue-sharing model between telecom operators. Criminals register premium rate numbers in countries with lax regulations, then route artificial SMS traffic to these numbers—collecting a percentage of each message's termination fee.

Unlike traditional SMS pumping attacks that target domestic premium numbers, IPRN fraud specifically targets international premium rate numbers where termination fees can reach $1-5 per SMS. Attackers exploit SMS verification systems, OTP flows, and marketing campaigns to generate thousands of fraudulent messages daily.

Critical Threat
IPRN fraud attacks have surged 342% since 2023, with enterprise victims losing an average of $127,000 annually. The attack is completely automated and can drain budgets in hours without detection.

The IPRN Attack Chain: How Fraudsters Exploit SMS Systems

Step 1: Target Identification

Attackers use automated tools to scan websites for:

  • SMS verification forms without rate limiting
  • Marketing signup pages with phone number inputs
  • API endpoints that accept phone numbers without validation
  • Mobile apps with SMS-based authentication

Step 2: Premium Number Setup

Criminals register international premium rate numbers in high-risk jurisdictions:

CountryPremium PrefixCost Per SMS
United Kingdom+44 70xxx, +44 71xxx$0.50 - $1.50
Latvia+371 80xxxx, +371 81xxxx$1.00 - $3.00
Estonia+372 80xxxx, +372 81xxxx$1.50 - $4.00
Belgium+32 70xxxx, +32 78xxxx$0.75 - $2.50
Spain+34 80xxxx, +34 90xxxx$0.50 - $2.00

Step 3: Automated Attack Execution

Botnets execute the attack at scale:

  • Submit thousands of phone verification requests using premium rate numbers
  • Distribute traffic across IP addresses to avoid detection
  • Mimic legitimate user behavior with realistic timing
  • Trigger SMS/OTP delivery for each premium number

Step 4: Revenue Collection

Telecom operators process messages and pay the premium rate number owners their share of termination fees. Attackers collect payments through shell companies or money mules, making the funds difficult to trace.

IPRN Fraud vs. Domestic SMS Pumping: Key Differences

While IPRN fraud and domestic SMS pumping share similarities, international premium rate attacks require specialized detection strategies:

CharacteristicIPRN FraudDomestic SMS Pumping
Number TypeInternational premium rateDomestic toll-free/premium
Cost Per SMS$1-5$0.01-0.10
Detection ComplexityHigh (international number ranges)Medium (domestic patterns)
Attack VelocityThousands per hourHundreds per hour
Revenue ModelRevenue sharing with foreign carriersPremium rate number ownership
Jurisdiction IssuesCross-border legal complicationsDomestic jurisdiction applies

Premium Rate Number Detection: Technical Implementation

Effective IPRN fraud prevention requires a multi-layered approach combining real-time phone validation, premium rate number databases, and behavioral analysis.

1. Real-Time Premium Rate Detection

Before sending any SMS, validate the phone number against premium rate databases:

// Premium Rate Number Detection API
async function detectPremiumRate(phoneNumber) {
  const response = await fetch(
    'https://api.phone-check.app/v1/validate',
    {
      method: 'POST',
      headers: {
        'Content-Type': 'application/json',
        'Authorization': 'Bearer YOUR_API_KEY'
      },
      body: JSON.stringify({
        phone: phoneNumber,
        check_premium_rate: true,
        check_risk_score: true
      })
    }
  );

  const data = await response.json();

  // Block premium rate numbers
  if (data.is_premium_rate) {
    console.log('Premium rate detected:', {
      country: data.country,
      rate_type: data.rate_type,
      estimated_cost: data.estimated_cost_per_sms
    });
    return { allowed: false, reason: 'premium_rate' };
  }

  // Block high-risk numbers
  if (data.risk_score > 0.7) {
    return { allowed: false, reason: 'high_risk' };
  }

  return { allowed: true };
}

// Usage in verification flow
const result = await detectPremiumRate('+447098123456');
if (!result.allowed) {
  // Block verification attempt
  return;
}

2. Country-Based Premium Rate Ranges

Maintain an up-to-date database of premium rate number ranges by country:

// Premium rate number ranges database
const premiumRateRanges = {
  GB: ['+4470', '+4471', '+4472', '+4473', '+4476', '+4477'], // UK
  LV: ['+37180', '+37181', '+37182', '+37190', '+37191'], // Latvia
  EE: ['+37280', '+37281', '+37282', '+37290'], // Estonia
  BE: ['+3270', '+3278', '+3290'], // Belgium
  ES: ['+3480', '+3490', '+3491'], // Spain
  LT: ['+37080', '+37090'], // Lithuania
  RO: ['+40900', '+40901', '+40902'], // Romania
  CZ: ['+420900', '+420901', '+420902', '+420903'], // Czech Republic
};

function isPremiumRateNumber(phoneNumber) {
  // Normalize to E.164 format
  const normalized = normalizeToE164(phoneNumber);

  // Extract country code and prefix
  const countryCode = normalized.substring(1, 3);
  const prefix = normalized.substring(0, 5);

  // Check against premium rate ranges
  if (premiumRateRanges[countryCode]) {
    for (const range of premiumRateRanges[countryCode]) {
      if (prefix.startsWith(range.substring(0, 4))) {
        return {
          is_premium: true,
          country: countryCode,
          range: range
        };
      }
    }
  }

  return { is_premium: false };
}

3. Behavioral Rate Limiting

Implement intelligent rate limiting that accounts for country patterns:

// Intelligent rate limiting by country
class PremiumRateLimiter {
  constructor() {
    this.attempts = new Map();
    this.thresholds = {
      // Stricter limits for high-risk countries
      GB: { requests: 5, window: 3600 }, // UK: 5 per hour
      LV: { requests: 3, window: 3600 }, // Latvia: 3 per hour
      EE: { requests: 3, window: 3600 }, // Estonia: 3 per hour
      // Normal limits for low-risk countries
      US: { requests: 20, window: 3600 }, // US: 20 per hour
      CA: { requests: 20, window: 3600 }, // Canada: 20 per hour
    };
  }

  checkLimit(phoneNumber) {
    const country = this.extractCountry(phoneNumber);
    const threshold = this.thresholds[country] || { requests: 10, window: 3600 };

    const key = phoneNumber.substring(0, 7); // Country + area code
    const now = Date.now();
    const history = this.attempts.get(key) || [];

    // Clean old attempts
    const recent = history.filter(t => now - t < threshold.window * 1000);

    if (recent.length >= threshold.requests) {
      return { allowed: false, reason: 'rate_limit_exceeded' };
    }

    recent.push(now);
    this.attempts.set(key, recent);
    return { allowed: true };
  }

  extractCountry(phone) {
    return phone.substring(1, 3); // Extract country code
  }
}

4. VoIP and Disposable Number Detection

Premium rate fraud often uses VoIP services to acquire international numbers:

// VoIP detection for premium rate fraud prevention
async function validatePhoneNumber(phoneNumber) {
  const response = await fetch(
    'https://api.phone-check.app/v1/phone-details',
    {
      method: 'POST',
      headers: {
        'Content-Type': 'application/json',
        'Authorization': 'Bearer YOUR_API_KEY'
      },
      body: JSON.stringify({ phone: phoneNumber })
    }
  );

  const data = await response.json();

  // Comprehensive fraud checks
  const checks = {
    isPremiumRate: data.line_type === 'premium_rate',
    isVoIP: data.line_type === 'voip',
    isDisposable: data.disposable || false,
    isHighRiskCountry: data.risk_country || false,
    riskScore: data.risk_score || 0
  };

  // Block if any risk indicators present
  if (checks.isPremiumRate) {
    return { allowed: false, reason: 'premium_rate_detected' };
  }

  if (checks.isVoIP && checks.isDisposable) {
    return { allowed: false, reason: 'disposable_voip' };
  }

  if (checks.riskScore > 0.7) {
    return { allowed: false, reason: 'high_risk_score' };
  }

  return { allowed: true, checks };
}

ROI Analysis: Premium Rate Detection Cost Savings

Implementing premium rate number detection delivers measurable ROI across multiple dimensions:

Direct Fraud Prevention

  • • Average fraud loss: $127,000 annually
  • • Detection cost: ~$12,000 annually
  • Net savings: $115,000 (90% reduction)

Operational Efficiency

  • • Reduced incident response time: 87%
  • • Fewer false positives: 94%
  • Engineering time saved: 180 hours/year
Company SizeMonthly SMS VolumeFraud Risk (Without Detection)Annual Savings (With Detection)
Startup10,000$15,000$13,500
Mid-Market100,000$75,000$67,500
Enterprise1,000,000$250,000$225,000
Platform10,000,000$500,000$450,000

Implementation Best Practices: Premium Rate Detection Checklist

Validate Before Sending

Always validate phone numbers against premium rate databases before triggering SMS delivery. This 50ms check prevents 94% of IPRN fraud attempts.

Block High-Risk Countries

Implement stricter rate limiting for countries with known IPRN fraud issues: UK, Latvia, Estonia, Lithuania, Belgium, Spain, Romania, Czech Republic.

Detect VoIP and Disposable Numbers

Premium rate fraud operators often use VoIP services. Flag or block VoIP numbers combined with other risk indicators.

Monitor for Traffic Anomalies

Set up alerts for unusual patterns: spikes in international verification requests, high failure rates, or cost anomalies by country code.

Maintain Updated Premium Rate Databases

Premium rate number ranges change frequently. Use APIs that update daily to ensure coverage of new fraud vectors.

Stop IPRN Fraud Before It Starts

Enterprise-grade premium rate detection in 50ms. Block international premium rate numbers, prevent revenue sharing fraud, and protect your SMS budget with real-time validation.

Related Articles