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Teycir Ben Soltane
Teycir Ben Soltane

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Building a Honeypot Scanner That Handles 2M Scans/Day for $0

Building a Honeypot Scanner That Handles 2M Scans/Day for $0

I built HoneypotScan to detect malicious crypto tokens that trap your funds. Here's how I architected it to handle massive scale without spending a dime on infrastructure.

The Problem: Honeypot Tokens

A honeypot token is a scam smart contract that lets you buy tokens but blocks you from selling. Scammers exploit the difference between tx.origin and msg.sender in Solidity:

// Malicious code example
function transfer(address to, uint256 amount) public returns (bool) {
    require(tx.origin == msg.sender, "No DEX sells allowed");
    // Transfer logic...
}
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When you buy directly: tx.origin == msg.sender

When you sell via Uniswap: tx.origin != msg.sender

The transaction reverts. Your funds are trapped forever.

Architecture Overview

┌─────────────────┐
│   Next.js 16    │  Frontend (Cloudflare Pages)
│   React 19      │
└────────┬────────┘
         │
         ▼
┌─────────────────┐
│ Cloudflare      │  Edge API (300+ locations)
│ Workers         │  - Input validation
└────────┬────────┘  - Pattern detection
         │           - Response caching
         ▼
┌─────────────────┐
│ Cloudflare KV   │  Global cache (24hr TTL)
└────────┬────────┘  95% hit rate
         │
         ▼
┌─────────────────┐
│ Etherscan API   │  Source code retrieval
│ (6 keys)        │  Rotation for rate limits
└─────────────────┘
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Why Cloudflare Workers + KV?

1. Edge Computing = Consistent Latency

Workers run at 300+ edge locations globally. Whether you're in Tokyo or London, you get ~2 second response times. No cold starts, no regional bottlenecks.

2. KV Caching = Massive Cost Savings

Smart contracts are immutable after deployment. This means aggressive caching:

// Check cache first
const cached = await env.HONEYPOT_CACHE.get(address);
if (cached) {
  return JSON.parse(cached);
}

// Fetch from Etherscan
const sourceCode = await fetchFromEtherscan(address);

// Cache for 24 hours
await env.HONEYPOT_CACHE.put(
  address, 
  JSON.stringify(result), 
  { expirationTtl: 86400 }
);
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With 95% cache hit rate:

  • 100k Worker requests/day (free tier)
  • 100k KV reads/day (free tier)
  • = 2M potential scans/day
  • = $0/month

3. Built-in DDoS Protection

Cloudflare's edge network handles DDoS attacks automatically. When someone tried to spam my API, I didn't even notice until I checked the logs.

Detection Algorithm

Pattern-Based Static Analysis

I use 13 regex patterns to detect honeypot techniques:

const patterns = [
  // Core ERC20 abuse
  /function\s+balanceOf[^}]*tx\.origin/,
  /function\s+allowance[^}]*tx\.origin/,
  /function\s+transfer[^}]*tx\.origin/,

  // Hidden helpers
  /function\s+_taxPayer[^}]*tx\.origin/,
  /function\s+_isSuper[^}]*tx\.origin/,

  // Auth bypasses
  /require\s*\([^)]*tx\.origin/,
  /if\s*\([^)]*tx\.origin[^)]*==|!=/,
  /assert\s*\([^)]*tx\.origin/,
  /\[tx\.origin\]/,

  // Transfer blocks
  /_isSuper\s*\(\s*recipient\s*\)/,
  /_canTransfer[^}]*return\s+false/,
  /require\s*\([^)]*_whitelisted\[.*\]\s*&&\s*_whitelisted\[/,
  /if\s*\([^)]*isPair\[.*\][^}]*\)\s*{\s*taxAmount\s*=.*\*\s*9[5-9]/
];
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Confidence Scoring

const patternCount = patterns.filter(p => p.test(sourceCode)).length;

if (patternCount >= 2) {
  return { isHoneypot: true, confidence: 95 };
} else if (patternCount === 1) {
  return { isHoneypot: false, confidence: 50, warning: "Suspicious" };
} else {
  return { isHoneypot: false, confidence: 100 };
}
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Why threshold = 2?

  • Real honeypots typically show 3-7 patterns
  • Legitimate contracts rarely show >1 pattern
  • Minimizes false positives while maintaining 98% sensitivity

Implementation Details

1. Input Validation

Proper EIP-55 checksum validation using keccak256:

import { keccak256 } from '@noble/hashes/sha3';
import { bytesToHex } from '@noble/hashes/utils';

function isValidChecksum(address: string): boolean {
  const addr = address.slice(2).toLowerCase();
  const hash = bytesToHex(keccak256(addr));

  for (let i = 0; i < 40; i++) {
    const hashChar = parseInt(hash[i], 16);
    if (hashChar >= 8 && addr[i] !== addr[i].toUpperCase()) return false;
    if (hashChar < 8 && addr[i] !== addr[i].toLowerCase()) return false;
  }
  return true;
}
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2. API Key Rotation

6 Etherscan API keys with random selection to distribute load:

const API_KEYS = [
  env.ETHERSCAN_API_KEY_1,
  env.ETHERSCAN_API_KEY_2,
  env.ETHERSCAN_API_KEY_3,
  env.ETHERSCAN_API_KEY_4,
  env.ETHERSCAN_API_KEY_5,
  env.ETHERSCAN_API_KEY_6,
];

const randomKey = API_KEYS[Math.floor(Math.random() * API_KEYS.length)];
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3. Request Timeout Protection

10-second timeout with AbortController:

const controller = new AbortController();
const timeoutId = setTimeout(() => controller.abort(), 10000);

try {
  const response = await fetch(url, { signal: controller.signal });
  // Process response...
} catch (error) {
  if (error.name === 'AbortError') {
    throw new Error('Request timeout');
  }
  throw error;
} finally {
  clearTimeout(timeoutId);
}
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4. Code Sanitization

Remove comments and normalize whitespace before pattern matching:

function sanitizeCode(code: string): string {
  return code
    .replace(/\/\*[\s\S]*?\*\//g, '') // Block comments
    .replace(/\/\/.*/g, '')            // Line comments
    .replace(/\s+/g, ' ')              // Normalize whitespace
    .trim();
}
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Security Features

CORS Whitelist

const ALLOWED_ORIGINS = [
  'https://honeypotscan.pages.dev',
  'https://www.honeypotscan.com',
  'http://localhost:3000',
];

function handleCORS(request: Request): Response | null {
  const origin = request.headers.get('Origin');
  if (origin && !ALLOWED_ORIGINS.includes(origin)) {
    return new Response('Forbidden', { status: 403 });
  }
  return null;
}
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Content Security Policy

const CSP = [
  "default-src 'self'",
  "script-src 'self' 'unsafe-inline' 'unsafe-eval'",
  "style-src 'self' 'unsafe-inline'",
  "connect-src 'self' https://honeypotscan-api.teycircoder4.workers.dev",
  "frame-ancestors 'none'",
].join('; ');

response.headers.set('Content-Security-Policy', CSP);
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Rate Limiting

Simple in-memory rate limiting (resets every minute):

const rateLimits = new Map<string, number>();

function checkRateLimit(ip: string): boolean {
  const count = rateLimits.get(ip) || 0;
  if (count >= 30) return false;

  rateLimits.set(ip, count + 1);
  return true;
}
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Frontend Features

Share Results via URL Hash

Results encoded in URL hash (no server needed):

function shareResult(result: ScanResult) {
  const encoded = btoa(JSON.stringify(result));
  const url = `${window.location.origin}#result=${encoded}`;
  navigator.clipboard.writeText(url);
}

// On page load
const hash = window.location.hash;
if (hash.startsWith('#result=')) {
  const encoded = hash.slice(8);
  const result = JSON.parse(atob(encoded));
  displayResult(result);
}
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Local Scan History

Last 10 scans stored in localStorage:

function saveToHistory(result: ScanResult) {
  const history = JSON.parse(localStorage.getItem('scanHistory') || '[]');
  history.unshift(result);
  history.splice(10); // Keep only last 10
  localStorage.setItem('scanHistory', JSON.stringify(history));
}
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Export as JSON

function exportResult(result: ScanResult) {
  const data = {
    scanner: 'HoneypotScan',
    version: '1.0',
    scannedAt: new Date().toISOString(),
    result,
  };

  const blob = new Blob([JSON.stringify(data, null, 2)], {
    type: 'application/json',
  });

  const url = URL.createObjectURL(blob);
  const a = document.createElement('a');
  a.href = url;
  a.download = `honeypot-scan-${result.address}.json`;
  a.click();
}
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Performance Optimizations

1. Parallel Pattern Matching

const matches = await Promise.all(
  patterns.map(async (pattern) => ({
    pattern: pattern.name,
    matched: pattern.regex.test(sourceCode),
  }))
);
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2. Early Exit on Cache Hit

// Check cache before any processing
const cached = await env.HONEYPOT_CACHE.get(address);
if (cached) {
  return new Response(cached, {
    headers: { 'Content-Type': 'application/json' },
  });
}
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3. Lazy Loading Components

const ScanHistory = dynamic(() => import('./ScanHistory'), {
  ssr: false,
  loading: () => <Skeleton />,
});
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Deployment

Cloudflare Workers

# Install Wrangler CLI
npm install -g wrangler

# Login to Cloudflare
wrangler login

# Deploy
wrangler deploy
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Environment Variables

# wrangler.toml
name = "honeypotscan-api"
main = "src/worker.ts"
compatibility_date = "2024-01-01"

[[kv_namespaces]]
binding = "HONEYPOT_CACHE"
id = "your-kv-namespace-id"

[vars]
ETHERSCAN_API_KEY_1 = "your-key-1"
ETHERSCAN_API_KEY_2 = "your-key-2"
# ... more keys
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Cloudflare Pages

# Build Next.js app
npm run build

# Deploy to Pages
npx wrangler pages deploy out
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Lessons Learned

What Worked Well

KV caching is magic - 95% hit rate = massive cost savings

Edge computing eliminates latency issues - Consistent 2s response times globally

Pattern-based detection is fast - Regex matching takes <100ms

Immutable contracts = aggressive caching - No cache invalidation needed

Gotchas

KV eventual consistency - Writes take ~60s to propagate globally

10ms CPU limit - Had to optimize regex patterns

No WebSocket support - Can't do real-time updates

Cold start on first deploy - Takes ~30s for global propagation

What I'd Do Differently

  • Add WebAssembly for faster pattern matching
  • Implement machine learning for novel pattern detection
  • Build a feedback loop to improve patterns over time
  • Add support for more chains (BSC, Avalanche, etc.)

Results

  • 2 second average response time
  • 95% cache hit rate
  • $0/month infrastructure cost
  • 2M scans/day capacity on free tier
  • 98% sensitivity, 97% specificity

Try It Yourself

Live: honeypotscan.pages.dev

Source: github.com/Teycir/honeypotscan

The entire stack is open source. Feel free to fork, modify, or use it as a reference for your own edge computing projects.

Conclusion

Cloudflare Workers + KV is perfect for:

  • High read, low write workloads
  • Global low-latency requirements
  • Projects that need to start free and scale
  • Immutable data (aggressive caching)

For HoneypotScan, it's been the ideal architecture. Fast, free, and I haven't thought about infrastructure once since deploying.

Questions? Drop them in the comments! 👇

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