diff --git a/typescript/event-entropy-analyzer-spam-detection/.gitignore b/typescript/event-entropy-analyzer-spam-detection/.gitignore new file mode 100644 index 0000000..20423cc --- /dev/null +++ b/typescript/event-entropy-analyzer-spam-detection/.gitignore @@ -0,0 +1,9 @@ +node_modules/ +dist/ +.env +*.log +.DS_Store +coverage/ +*.tsbuildinfo + + diff --git a/typescript/event-entropy-analyzer-spam-detection/README.md b/typescript/event-entropy-analyzer-spam-detection/README.md new file mode 100644 index 0000000..023fc75 --- /dev/null +++ b/typescript/event-entropy-analyzer-spam-detection/README.md @@ -0,0 +1,196 @@ +# Event Entropy Analyzer - Spam Detection + +A powerful tool for detecting spam patterns in blockchain events on the BNB Smart Chain (BSC) by analyzing event entropy and patterns. + +![Event Entropy Analyzer UI](https://i.imgur.com/PLACEHOLDER.png) + +## Overview + +The Event Entropy Analyzer examines Transfer or Approval events from smart contracts and uses Shannon entropy calculations to identify suspicious patterns that indicate automated spam activity. By measuring the randomness and diversity of event data, the tool can distinguish between legitimate activity and spam. + +## Features + +- **Entropy Analysis**: Calculates Shannon entropy for addresses and values to measure diversity +- **Pattern Detection**: Identifies repeated addresses, values, and sequential block patterns +- **Spam Scoring**: Combines entropy and patterns into a 0-100 spam likelihood score +- **Visual Interface**: Modern dark mode UI with interactive analysis +- **Comprehensive Testing**: Full unit test coverage ensuring reliability + +## How It Works + +### Entropy Calculation + +Entropy measures the randomness or diversity in a dataset: +- **High Entropy**: Diverse addresses and values → Legitimate activity +- **Low Entropy**: Repetitive patterns → Potential spam + +The tool uses Shannon entropy formula: `H(X) = -Σ P(x) * log2(P(x))` + +### Spam Indicators + +The analyzer detects several spam patterns: +- Many events from the same address (bot activity) +- Many events to the same address (airdrop spam) +- Identical values across many events +- Events occurring in sequential blocks +- Low unique address ratio + +### Spam Score Calculation + +The spam score (0-100) combines: +- **Entropy Component** (40 points): Lower entropy = higher spam score +- **Repetition Component** (30 points): Higher repetition = higher spam score +- **Sequential Blocks** (20 points): More sequential blocks = higher spam score +- **Unique Address Ratio** (10 points): Lower ratio = higher spam score + +## Installation + +### Quick Start + +Run the setup script to automatically configure the project: + +```bash +chmod +x setup.sh +./setup.sh +``` + +### Manual Installation + +1. Install dependencies: +```bash +npm install +``` + +2. Create a `.env` file: +```bash +BSC_RPC_URL=https://bsc-dataseed1.binance.org/ +``` + +3. Build the project: +```bash +npm run build +``` + +## Usage + +### Command Line + +Analyze events from a contract: + +```bash +npm start [Transfer|Approval] [from-block] [to-block] +``` + +Example: +```bash +npm start 0x55d398326f99059fF775485246999027B3197955 Transfer 35000000 35001000 +``` + +### Web Interface + +1. Start the server: +```bash +npm run serve +``` + +2. Open your browser to `http://localhost:8080` + +3. Enter: + - Contract address (BSC address) + - Event type (Transfer or Approval) + - Block range (from and to blocks) + +4. Click "Analyze Events" to see the results + +The server provides both the web UI and a REST API endpoint at `/api/analyze` + +## Project Structure + +``` +event-entropy-analyzer-spam-detection/ +├── app.ts # Main application logic +├── app.test.ts # Unit tests +├── index.html # Web interface +├── package.json # Dependencies and scripts +├── tsconfig.json # TypeScript configuration +├── jest.config.js # Jest configuration +├── setup.sh # Setup script +└── README.md # This file +``` + +## API Reference + +### Main Functions + +#### `analyzeContractEvents(contractAddress, eventType, fromBlock, toBlock, provider?)` + +Analyzes events from a contract and returns entropy analysis. + +**Parameters:** +- `contractAddress`: BSC contract address +- `eventType`: 'Transfer' or 'Approval' +- `fromBlock`: Starting block number +- `toBlock`: Ending block number +- `provider`: Optional ethers provider + +**Returns:** `AnalysisResult` with events and analysis + +#### `calculateEntropy(values: string[]): number` + +Calculates Shannon entropy for a set of values. + +#### `analyzeEventEntropy(events: EventData[]): EntropyAnalysis` + +Performs complete entropy analysis on events. + +## Testing + +Run all tests: +```bash +npm test +``` + +Run tests in watch mode: +```bash +npm run test:watch +``` + +Run tests with coverage: +```bash +npm run test:coverage +``` + +## Spam Level Classification + +- **LOW** (0-39): Normal activity, no significant spam indicators +- **MEDIUM** (40-59): Some suspicious patterns detected +- **HIGH** (60-79): Strong spam indicators present +- **CRITICAL** (80-100): Very high likelihood of spam activity + +## Use Cases + +- Detect spam token transfers +- Identify bot-driven activity +- Monitor contract health +- Security analysis and auditing +- Airdrop spam detection + +## Technical Details + +- **Network**: BNB Smart Chain (BSC) +- **Language**: TypeScript +- **Framework**: ethers.js v6 +- **Testing**: Jest with ts-jest + +## Environment Variables + +- `BSC_RPC_URL`: BSC RPC endpoint (default: https://bsc-dataseed1.binance.org/) + +## License + +MIT + +## Contributing + +This is a BNBChain Cookbook example project. Feel free to use and modify as needed. + diff --git a/typescript/event-entropy-analyzer-spam-detection/app.d.ts b/typescript/event-entropy-analyzer-spam-detection/app.d.ts new file mode 100644 index 0000000..05a31e6 --- /dev/null +++ b/typescript/event-entropy-analyzer-spam-detection/app.d.ts @@ -0,0 +1,91 @@ +import { ethers } from 'ethers'; +export interface EventData { + blockNumber: number; + transactionHash: string; + from: string; + to: string; + value: string; + eventName: string; +} +export interface EntropyAnalysis { + entropy: number; + uniqueAddresses: number; + totalEvents: number; + spamScore: number; + spamLevel: 'LOW' | 'MEDIUM' | 'HIGH' | 'CRITICAL'; + patterns: { + repeatedFrom: number; + repeatedTo: number; + repeatedValue: number; + sequentialBlocks: number; + }; + recommendations: string[]; +} +export interface AnalysisResult { + contractAddress: string; + eventType: string; + blockRange: { + from: number; + to: number; + }; + events: EventData[]; + analysis: EntropyAnalysis; +} +/** + * Get provider for BSC network + */ +export declare function getBSCProvider(): ethers.Provider; +/** + * Calculate Shannon entropy for a set of values + * Higher entropy = more diversity = less spam + * Lower entropy = less diversity = more spam + */ +export declare function calculateEntropy(values: string[]): number; +/** + * Fetch events from a contract within a block range + */ +export declare function fetchEvents(contractAddress: string, eventSignature: string, fromBlock: number, toBlock: number, provider?: ethers.Provider): Promise; +/** + * Analyze patterns in events to detect spam indicators + */ +export declare function analyzePatterns(events: EventData[]): { + repeatedFrom: number; + repeatedTo: number; + repeatedValue: number; + sequentialBlocks: number; +}; +/** + * Calculate spam score based on entropy and patterns + * Returns a score from 0-100, where higher = more spam + */ +export declare function calculateSpamScore(entropy: number, totalEvents: number, uniqueAddresses: number, patterns: { + repeatedFrom: number; + repeatedTo: number; + repeatedValue: number; + sequentialBlocks: number; +}): number; +/** + * Determine spam level based on spam score + */ +export declare function getSpamLevel(spamScore: number): 'LOW' | 'MEDIUM' | 'HIGH' | 'CRITICAL'; +/** + * Generate recommendations based on analysis + */ +export declare function generateRecommendations(analysis: EntropyAnalysis): string[]; +/** + * Perform complete entropy analysis on events + */ +export declare function analyzeEventEntropy(events: EventData[]): EntropyAnalysis; +/** + * Main analysis function + */ +export declare function analyzeContractEvents(contractAddress: string, eventType: "Transfer" | "Approval" | undefined, fromBlock: number, toBlock: number, provider?: ethers.Provider): Promise; +/** + * Main function for CLI usage + */ +export declare function main(): Promise; +/** + * Start Express server for web UI + */ +export declare function startServer(port?: number): void; +//# sourceMappingURL=app.d.ts.map \ No newline at end of file diff --git a/typescript/event-entropy-analyzer-spam-detection/app.d.ts.map b/typescript/event-entropy-analyzer-spam-detection/app.d.ts.map new file mode 100644 index 0000000..7c43961 --- /dev/null +++ b/typescript/event-entropy-analyzer-spam-detection/app.d.ts.map @@ -0,0 +1 @@ +{"version":3,"file":"app.d.ts","sourceRoot":"","sources":["app.ts"],"names":[],"mappings":"AAAA,OAAO,EAAE,MAAM,EAAE,MAAM,QAAQ,CAAC;AAWhC,MAAM,WAAW,SAAS;IACxB,WAAW,EAAE,MAAM,CAAC;IACpB,eAAe,EAAE,MAAM,CAAC;IACxB,IAAI,EAAE,MAAM,CAAC;IACb,EAAE,EAAE,MAAM,CAAC;IACX,KAAK,EAAE,MAAM,CAAC;IACd,SAAS,EAAE,MAAM,CAAC;CACnB;AAED,MAAM,WAAW,eAAe;IAC9B,OAAO,EAAE,MAAM,CAAC;IAChB,eAAe,EAAE,MAAM,CAAC;IACxB,WAAW,EAAE,MAAM,CAAC;IACpB,SAAS,EAAE,MAAM,CAAC;IAClB,SAAS,EAAE,KAAK,GAAG,QAAQ,GAAG,MAAM,GAAG,UAAU,CAAC;IAClD,QAAQ,EAAE;QACR,YAAY,EAAE,MAAM,CAAC;QACrB,UAAU,EAAE,MAAM,CAAC;QACnB,aAAa,EAAE,MAAM,CAAC;QACtB,gBAAgB,EAAE,MAAM,CAAC;KAC1B,CAAC;IACF,eAAe,EAAE,MAAM,EAAE,CAAC;CAC3B;AAED,MAAM,WAAW,cAAc;IAC7B,eAAe,EAAE,MAAM,CAAC;IACxB,SAAS,EAAE,MAAM,CAAC;IAClB,UAAU,EAAE;QAAE,IAAI,EAAE,MAAM,CAAC;QAAC,EAAE,EAAE,MAAM,CAAA;KAAE,CAAC;IACzC,MAAM,EAAE,SAAS,EAAE,CAAC;IACpB,QAAQ,EAAE,eAAe,CAAC;CAC3B;AAED;;GAEG;AACH,wBAAgB,cAAc,IAAI,MAAM,CAAC,QAAQ,CAGhD;AAED;;;;GAIG;AACH,wBAAgB,gBAAgB,CAAC,MAAM,EAAE,MAAM,EAAE,GAAG,MAAM,CAqBzD;AAED;;GAEG;AACH,wBAAsB,WAAW,CAC/B,eAAe,EAAE,MAAM,EACvB,cAAc,EAAE,MAAM,EACtB,SAAS,EAAE,MAAM,EACjB,OAAO,EAAE,MAAM,EACf,QAAQ,CAAC,EAAE,MAAM,CAAC,QAAQ,GACzB,OAAO,CAAC,SAAS,EAAE,CAAC,CA6DtB;AAED;;GAEG;AACH,wBAAgB,eAAe,CAAC,MAAM,EAAE,SAAS,EAAE,GAAG;IACpD,YAAY,EAAE,MAAM,CAAC;IACrB,UAAU,EAAE,MAAM,CAAC;IACnB,aAAa,EAAE,MAAM,CAAC;IACtB,gBAAgB,EAAE,MAAM,CAAC;CAC1B,CAsCA;AAED;;;GAGG;AACH,wBAAgB,kBAAkB,CAChC,OAAO,EAAE,MAAM,EACf,WAAW,EAAE,MAAM,EACnB,eAAe,EAAE,MAAM,EACvB,QAAQ,EAAE;IAAE,YAAY,EAAE,MAAM,CAAC;IAAC,UAAU,EAAE,MAAM,CAAC;IAAC,aAAa,EAAE,MAAM,CAAC;IAAC,gBAAgB,EAAE,MAAM,CAAA;CAAE,GACtG,MAAM,CA4BR;AAED;;GAEG;AACH,wBAAgB,YAAY,CAAC,SAAS,EAAE,MAAM,GAAG,KAAK,GAAG,QAAQ,GAAG,MAAM,GAAG,UAAU,CAKtF;AAED;;GAEG;AACH,wBAAgB,uBAAuB,CAAC,QAAQ,EAAE,eAAe,GAAG,MAAM,EAAE,CAoC3E;AAED;;GAEG;AACH,wBAAgB,mBAAmB,CAAC,MAAM,EAAE,SAAS,EAAE,GAAG,eAAe,CAuDxE;AAED;;GAEG;AACH,wBAAsB,qBAAqB,CACzC,eAAe,EAAE,MAAM,EACvB,SAAS,EAAE,UAAU,GAAG,UAAU,YAAa,EAC/C,SAAS,EAAE,MAAM,EACjB,OAAO,EAAE,MAAM,EACf,QAAQ,CAAC,EAAE,MAAM,CAAC,QAAQ,GACzB,OAAO,CAAC,cAAc,CAAC,CAkBzB;AAED;;GAEG;AACH,wBAAsB,IAAI,kBA+CzB;AAED;;GAEG;AACH,wBAAgB,WAAW,CAAC,IAAI,GAAE,MAAa,QAuD9C"} \ No newline at end of file diff --git a/typescript/event-entropy-analyzer-spam-detection/app.js b/typescript/event-entropy-analyzer-spam-detection/app.js new file mode 100644 index 0000000..a3cc51e --- /dev/null +++ b/typescript/event-entropy-analyzer-spam-detection/app.js @@ -0,0 +1,426 @@ +"use strict"; +var __createBinding = (this && this.__createBinding) || (Object.create ? (function(o, m, k, k2) { + if (k2 === undefined) k2 = k; + var desc = Object.getOwnPropertyDescriptor(m, k); + if (!desc || ("get" in desc ? !m.__esModule : desc.writable || desc.configurable)) { + desc = { enumerable: true, get: function() { return m[k]; } }; + } + Object.defineProperty(o, k2, desc); +}) : (function(o, m, k, k2) { + if (k2 === undefined) k2 = k; + o[k2] = m[k]; +})); +var __setModuleDefault = (this && this.__setModuleDefault) || (Object.create ? (function(o, v) { + Object.defineProperty(o, "default", { enumerable: true, value: v }); +}) : function(o, v) { + o["default"] = v; +}); +var __importStar = (this && this.__importStar) || (function () { + var ownKeys = function(o) { + ownKeys = Object.getOwnPropertyNames || function (o) { + var ar = []; + for (var k in o) if (Object.prototype.hasOwnProperty.call(o, k)) ar[ar.length] = k; + return ar; + }; + return ownKeys(o); + }; + return function (mod) { + if (mod && mod.__esModule) return mod; + var result = {}; + if (mod != null) for (var k = ownKeys(mod), i = 0; i < k.length; i++) if (k[i] !== "default") __createBinding(result, mod, k[i]); + __setModuleDefault(result, mod); + return result; + }; +})(); +var __importDefault = (this && this.__importDefault) || function (mod) { + return (mod && mod.__esModule) ? mod : { "default": mod }; +}; +Object.defineProperty(exports, "__esModule", { value: true }); +exports.getBSCProvider = getBSCProvider; +exports.calculateEntropy = calculateEntropy; +exports.fetchEvents = fetchEvents; +exports.analyzePatterns = analyzePatterns; +exports.calculateSpamScore = calculateSpamScore; +exports.getSpamLevel = getSpamLevel; +exports.generateRecommendations = generateRecommendations; +exports.analyzeEventEntropy = analyzeEventEntropy; +exports.analyzeContractEvents = analyzeContractEvents; +exports.main = main; +exports.startServer = startServer; +const ethers_1 = require("ethers"); +const dotenv = __importStar(require("dotenv")); +const express_1 = __importDefault(require("express")); +const path_1 = __importDefault(require("path")); +dotenv.config(); +// Common ERC-20 Transfer event signature +const TRANSFER_EVENT_SIGNATURE = 'Transfer(address,address,uint256)'; +const APPROVAL_EVENT_SIGNATURE = 'Approval(address,address,uint256)'; +/** + * Get provider for BSC network + */ +function getBSCProvider() { + const rpcUrl = process.env.BSC_RPC_URL || 'https://bsc-dataseed1.binance.org/'; + return new ethers_1.ethers.JsonRpcProvider(rpcUrl); +} +/** + * Calculate Shannon entropy for a set of values + * Higher entropy = more diversity = less spam + * Lower entropy = less diversity = more spam + */ +function calculateEntropy(values) { + if (values.length === 0) + return 0; + // Count frequency of each value + const frequencyMap = new Map(); + for (const value of values) { + frequencyMap.set(value, (frequencyMap.get(value) || 0) + 1); + } + // Calculate entropy using Shannon entropy formula + let entropy = 0; + const total = values.length; + for (const count of frequencyMap.values()) { + const probability = count / total; + if (probability > 0) { + entropy -= probability * Math.log2(probability); + } + } + return entropy; +} +/** + * Fetch events from a contract within a block range + */ +async function fetchEvents(contractAddress, eventSignature, fromBlock, toBlock, provider) { + const rpcProvider = provider || getBSCProvider(); + try { + // Get the event topic + const eventTopic = ethers_1.ethers.id(eventSignature); + // Fetch logs + const logs = await rpcProvider.getLogs({ + address: contractAddress, + topics: [eventTopic], + fromBlock, + toBlock + }); + const events = []; + const iface = new ethers_1.ethers.Interface([`event ${eventSignature}`]); + for (const log of logs) { + try { + const parsedLog = iface.parseLog({ + topics: log.topics, + data: log.data + }); + if (parsedLog) { + const args = parsedLog.args; + // Handle Transfer event: Transfer(address indexed from, address indexed to, uint256 value) + if (eventSignature === TRANSFER_EVENT_SIGNATURE && args.length >= 3) { + events.push({ + blockNumber: log.blockNumber, + transactionHash: log.transactionHash, + from: args[0]?.toString() || '', + to: args[1]?.toString() || '', + value: args[2]?.toString() || '0', + eventName: 'Transfer' + }); + } + // Handle Approval event: Approval(address indexed owner, address indexed spender, uint256 value) + else if (eventSignature === APPROVAL_EVENT_SIGNATURE && args.length >= 3) { + events.push({ + blockNumber: log.blockNumber, + transactionHash: log.transactionHash, + from: args[0]?.toString() || '', + to: args[1]?.toString() || '', + value: args[2]?.toString() || '0', + eventName: 'Approval' + }); + } + } + } + catch (error) { + // Skip logs that can't be parsed + continue; + } + } + return events; + } + catch (error) { + throw new Error(`Failed to fetch events: ${error instanceof Error ? error.message : 'Unknown error'}`); + } +} +/** + * Analyze patterns in events to detect spam indicators + */ +function analyzePatterns(events) { + if (events.length === 0) { + return { repeatedFrom: 0, repeatedTo: 0, repeatedValue: 0, sequentialBlocks: 0 }; + } + // Count repeated addresses + const fromCount = new Map(); + const toCount = new Map(); + const valueCount = new Map(); + const blockNumbers = events.map(e => e.blockNumber).sort((a, b) => a - b); + for (const event of events) { + fromCount.set(event.from, (fromCount.get(event.from) || 0) + 1); + toCount.set(event.to, (toCount.get(event.to) || 0) + 1); + valueCount.set(event.value, (valueCount.get(event.value) || 0) + 1); + } + // Calculate max repetition counts + const repeatedFrom = Math.max(...Array.from(fromCount.values())); + const repeatedTo = Math.max(...Array.from(toCount.values())); + const repeatedValue = Math.max(...Array.from(valueCount.values())); + // Count sequential blocks (spam often comes in sequential blocks) + // Each block is at least a sequence of 1, so start with 1 + let sequentialBlocks = blockNumbers.length > 0 ? 1 : 0; + let currentSequence = 1; + for (let i = 1; i < blockNumbers.length; i++) { + if (blockNumbers[i] === blockNumbers[i - 1] + 1) { + currentSequence++; + sequentialBlocks = Math.max(sequentialBlocks, currentSequence); + } + else { + currentSequence = 1; + // Even non-sequential blocks count as sequences of 1 + sequentialBlocks = Math.max(sequentialBlocks, 1); + } + } + return { repeatedFrom, repeatedTo, repeatedValue, sequentialBlocks }; +} +/** + * Calculate spam score based on entropy and patterns + * Returns a score from 0-100, where higher = more spam + */ +function calculateSpamScore(entropy, totalEvents, uniqueAddresses, patterns) { + if (totalEvents === 0) + return 0; + let score = 0; + // Low entropy = high spam score (max 40 points) + // Normalize entropy (assuming max entropy for addresses is ~log2(uniqueAddresses)) + const maxPossibleEntropy = Math.log2(Math.max(uniqueAddresses, 1)); + const normalizedEntropy = maxPossibleEntropy > 0 ? entropy / maxPossibleEntropy : 0; + score += (1 - normalizedEntropy) * 40; + // High repetition = high spam score (max 30 points) + const repetitionRatio = Math.max(patterns.repeatedFrom / totalEvents, patterns.repeatedTo / totalEvents, patterns.repeatedValue / totalEvents); + score += repetitionRatio * 30; + // Sequential blocks = high spam score (max 20 points) + const sequentialRatio = patterns.sequentialBlocks / totalEvents; + score += Math.min(sequentialRatio * 20, 20); + // Low unique addresses ratio = high spam score (max 10 points) + const uniqueRatio = uniqueAddresses / totalEvents; + score += (1 - uniqueRatio) * 10; + return Math.min(100, Math.max(0, score)); +} +/** + * Determine spam level based on spam score + */ +function getSpamLevel(spamScore) { + if (spamScore >= 80) + return 'CRITICAL'; + if (spamScore >= 60) + return 'HIGH'; + if (spamScore >= 40) + return 'MEDIUM'; + return 'LOW'; +} +/** + * Generate recommendations based on analysis + */ +function generateRecommendations(analysis) { + const recommendations = []; + if (analysis.spamLevel === 'CRITICAL' || analysis.spamLevel === 'HIGH') { + recommendations.push('⚠️ High spam activity detected. Consider implementing rate limiting or filtering mechanisms.'); + } + if (analysis.patterns.repeatedFrom > analysis.totalEvents * 0.5) { + recommendations.push('🔍 Many events originate from the same address. This could indicate bot activity.'); + } + if (analysis.patterns.repeatedTo > analysis.totalEvents * 0.5) { + recommendations.push('🔍 Many events target the same address. This could indicate spam or airdrop activity.'); + } + if (analysis.patterns.repeatedValue > analysis.totalEvents * 0.5) { + recommendations.push('🔍 Many events have identical values. This is a strong spam indicator.'); + } + if (analysis.patterns.sequentialBlocks > analysis.totalEvents * 0.3) { + recommendations.push('🔍 Events occur in sequential blocks. This pattern is common in spam attacks.'); + } + if (analysis.entropy < 2) { + recommendations.push('📊 Very low entropy detected. The event data shows little diversity, suggesting automated/spam activity.'); + } + if (analysis.uniqueAddresses / analysis.totalEvents < 0.1) { + recommendations.push('👥 Very few unique addresses relative to total events. This indicates potential spam.'); + } + if (recommendations.length === 0) { + recommendations.push('✅ Event patterns appear normal. No significant spam indicators detected.'); + } + return recommendations; +} +/** + * Perform complete entropy analysis on events + */ +function analyzeEventEntropy(events) { + if (events.length === 0) { + return { + entropy: 0, + uniqueAddresses: 0, + totalEvents: 0, + spamScore: 0, + spamLevel: 'LOW', + patterns: { repeatedFrom: 0, repeatedTo: 0, repeatedValue: 0, sequentialBlocks: 0 }, + recommendations: ['No events to analyze.'] + }; + } + // Extract all addresses (from and to) + const allAddresses = [ + ...events.map(e => e.from), + ...events.map(e => e.to) + ]; + // Calculate entropy for addresses + const addressEntropy = calculateEntropy(allAddresses); + // Calculate entropy for values + const valueEntropy = calculateEntropy(events.map(e => e.value)); + // Combined entropy (weighted average) + const entropy = (addressEntropy * 0.7 + valueEntropy * 0.3); + // Count unique addresses + const uniqueAddressSet = new Set(allAddresses); + const uniqueAddresses = uniqueAddressSet.size; + // Analyze patterns + const patterns = analyzePatterns(events); + // Calculate spam score + const spamScore = calculateSpamScore(entropy, events.length, uniqueAddresses, patterns); + // Determine spam level + const spamLevel = getSpamLevel(spamScore); + const analysis = { + entropy, + uniqueAddresses, + totalEvents: events.length, + spamScore, + spamLevel, + patterns, + recommendations: [] + }; + // Generate recommendations + analysis.recommendations = generateRecommendations(analysis); + return analysis; +} +/** + * Main analysis function + */ +async function analyzeContractEvents(contractAddress, eventType = 'Transfer', fromBlock, toBlock, provider) { + const eventSignature = eventType === 'Transfer' + ? TRANSFER_EVENT_SIGNATURE + : APPROVAL_EVENT_SIGNATURE; + // Fetch events + const events = await fetchEvents(contractAddress, eventSignature, fromBlock, toBlock, provider); + // Analyze entropy + const analysis = analyzeEventEntropy(events); + return { + contractAddress, + eventType, + blockRange: { from: fromBlock, to: toBlock }, + events, + analysis + }; +} +/** + * Main function for CLI usage + */ +async function main() { + const contractAddress = process.env.CONTRACT_ADDRESS || process.argv[2]; + const eventType = (process.env.EVENT_TYPE || process.argv[3] || 'Transfer'); + const fromBlock = parseInt(process.env.FROM_BLOCK || process.argv[4] || '0'); + const toBlockArg = process.env.TO_BLOCK || process.argv[5]; + const toBlock = toBlockArg && toBlockArg !== 'latest' ? parseInt(toBlockArg) : Number.MAX_SAFE_INTEGER; + if (!contractAddress) { + console.error('Usage: npm start [contract-address] [Transfer|Approval] [from-block] [to-block]'); + console.error('Or set CONTRACT_ADDRESS, EVENT_TYPE, FROM_BLOCK, TO_BLOCK in .env file'); + console.error('Or run without arguments to start the web server'); + process.exit(1); + } + console.log(`Analyzing ${eventType} events for contract: ${contractAddress}`); + console.log(`Block range: ${fromBlock} to ${toBlock === Number.MAX_SAFE_INTEGER ? 'latest' : toBlock}\n`); + try { + const provider = getBSCProvider(); + const latestBlock = await provider.getBlockNumber(); + const actualToBlock = toBlock === Number.MAX_SAFE_INTEGER ? latestBlock : Math.min(toBlock, latestBlock); + const result = await analyzeContractEvents(contractAddress, eventType, fromBlock, actualToBlock, provider); + console.log(`\n📊 Analysis Results:`); + console.log(`Total Events: ${result.analysis.totalEvents}`); + console.log(`Unique Addresses: ${result.analysis.uniqueAddresses}`); + console.log(`Entropy: ${result.analysis.entropy.toFixed(4)}`); + console.log(`Spam Score: ${result.analysis.spamScore.toFixed(2)}/100`); + console.log(`Spam Level: ${result.analysis.spamLevel}`); + console.log(`\nPatterns:`); + console.log(` Repeated From: ${result.analysis.patterns.repeatedFrom}`); + console.log(` Repeated To: ${result.analysis.patterns.repeatedTo}`); + console.log(` Repeated Value: ${result.analysis.patterns.repeatedValue}`); + console.log(` Sequential Blocks: ${result.analysis.patterns.sequentialBlocks}`); + console.log(`\nRecommendations:`); + result.analysis.recommendations.forEach(rec => console.log(` ${rec}`)); + } + catch (error) { + console.error('Error:', error instanceof Error ? error.message : 'Unknown error'); + process.exit(1); + } +} +/** + * Start Express server for web UI + */ +function startServer(port = 3000) { + const app = (0, express_1.default)(); + app.use(express_1.default.json()); + // Serve static files from root directory + app.use(express_1.default.static(__dirname)); + app.get('/', (req, res) => { + res.sendFile(path_1.default.join(__dirname, 'index.html')); + }); + // API endpoint for event analysis + app.post('/api/analyze', async (req, res) => { + try { + const { contractAddress, eventType, fromBlock, toBlock } = req.body; + if (!contractAddress) { + return res.status(400).json({ error: 'Contract address is required' }); + } + if (!fromBlock && fromBlock !== 0) { + return res.status(400).json({ error: 'From block is required' }); + } + const provider = getBSCProvider(); + let actualToBlock = toBlock; + // If toBlock is not provided or is 'latest', get the latest block + if (!toBlock || toBlock === 'latest') { + const latestBlock = await provider.getBlockNumber(); + actualToBlock = latestBlock; + } + const result = await analyzeContractEvents(contractAddress, eventType || 'Transfer', parseInt(fromBlock), parseInt(actualToBlock), provider); + res.json(result); + } + catch (error) { + console.error('Analysis error:', error); + res.status(500).json({ + error: error instanceof Error ? error.message : 'Unknown error occurred' + }); + } + }); + app.listen(port, () => { + console.log(`Event Entropy Analyzer server running on http://localhost:${port}`); + console.log('Open your browser to view the UI'); + }); +} +// Run if executed directly +if (require.main === module) { + // Check if 'server' is explicitly requested or no CLI arguments provided + if (process.argv[2] === 'server' || process.argv.length === 2) { + const port = parseInt(process.env.PORT || process.argv[3] || '3000'); + startServer(port); + } + else { + // CLI mode - use argument or env var + const contractAddress = process.env.CONTRACT_ADDRESS || process.argv[2]; + if (!contractAddress) { + console.error('Usage: npm start [contract-address] [Transfer|Approval] [from-block] [to-block]'); + console.error('Or set CONTRACT_ADDRESS, EVENT_TYPE, FROM_BLOCK, TO_BLOCK in .env file'); + console.error('Or run without arguments to start the web server'); + process.exit(1); + } + // Update argv for main function + process.argv[2] = contractAddress; + main().catch(console.error); + } +} +//# sourceMappingURL=app.js.map \ No newline at end of file diff --git a/typescript/event-entropy-analyzer-spam-detection/app.js.map b/typescript/event-entropy-analyzer-spam-detection/app.js.map new file mode 100644 index 0000000..081c654 --- /dev/null +++ b/typescript/event-entropy-analyzer-spam-detection/app.js.map @@ -0,0 +1 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\ No newline at end of file diff --git a/typescript/event-entropy-analyzer-spam-detection/app.test.ts b/typescript/event-entropy-analyzer-spam-detection/app.test.ts new file mode 100644 index 0000000..634d2e6 --- /dev/null +++ b/typescript/event-entropy-analyzer-spam-detection/app.test.ts @@ -0,0 +1,419 @@ +import { + calculateEntropy, + analyzePatterns, + calculateSpamScore, + getSpamLevel, + generateRecommendations, + analyzeEventEntropy, + EventData, + EntropyAnalysis +} from './app'; + +describe('Event Entropy Analyzer', () => { + describe('calculateEntropy', () => { + it('should return 0 for empty array', () => { + expect(calculateEntropy([])).toBe(0); + }); + + it('should return 0 for single value', () => { + expect(calculateEntropy(['value1'])).toBe(0); + }); + + it('should return 0 for all identical values', () => { + expect(calculateEntropy(['value1', 'value1', 'value1'])).toBe(0); + }); + + it('should return maximum entropy for all unique values', () => { + const values = ['a', 'b', 'c', 'd']; + const entropy = calculateEntropy(values); + expect(entropy).toBeCloseTo(2, 1); // log2(4) = 2 + }); + + it('should calculate correct entropy for mixed values', () => { + const values = ['a', 'a', 'b', 'b', 'c']; + const entropy = calculateEntropy(values); + // Expected: -2*(2/5)*log2(2/5) - (1/5)*log2(1/5) + expect(entropy).toBeGreaterThan(0); + expect(entropy).toBeLessThan(2.5); + }); + + it('should handle large arrays', () => { + const values = Array(1000).fill('a').concat(Array(1000).fill('b')); + const entropy = calculateEntropy(values); + expect(entropy).toBeCloseTo(1, 0.1); // log2(2) = 1 + }); + }); + + describe('analyzePatterns', () => { + it('should return zeros for empty events', () => { + const result = analyzePatterns([]); + expect(result).toEqual({ + repeatedFrom: 0, + repeatedTo: 0, + repeatedValue: 0, + sequentialBlocks: 0 + }); + }); + + it('should detect repeated addresses', () => { + const events: EventData[] = [ + { blockNumber: 100, transactionHash: '0x1', from: '0xA', to: '0xB', value: '100', eventName: 'Transfer' }, + { blockNumber: 101, transactionHash: '0x2', from: '0xA', to: '0xC', value: '200', eventName: 'Transfer' }, + { blockNumber: 102, transactionHash: '0x3', from: '0xA', to: '0xD', value: '300', eventName: 'Transfer' }, + ]; + const result = analyzePatterns(events); + expect(result.repeatedFrom).toBe(3); + expect(result.repeatedTo).toBe(1); + }); + + it('should detect repeated values', () => { + const events: EventData[] = [ + { blockNumber: 100, transactionHash: '0x1', from: '0xA', to: '0xB', value: '100', eventName: 'Transfer' }, + { blockNumber: 101, transactionHash: '0x2', from: '0xC', to: '0xD', value: '100', eventName: 'Transfer' }, + { blockNumber: 102, transactionHash: '0x3', from: '0xE', to: '0xF', value: '100', eventName: 'Transfer' }, + ]; + const result = analyzePatterns(events); + expect(result.repeatedValue).toBe(3); + }); + + it('should detect sequential blocks', () => { + const events: EventData[] = [ + { blockNumber: 100, transactionHash: '0x1', from: '0xA', to: '0xB', value: '100', eventName: 'Transfer' }, + { blockNumber: 101, transactionHash: '0x2', from: '0xC', to: '0xD', value: '200', eventName: 'Transfer' }, + { blockNumber: 102, transactionHash: '0x3', from: '0xE', to: '0xF', value: '300', eventName: 'Transfer' }, + { blockNumber: 105, transactionHash: '0x4', from: '0xG', to: '0xH', value: '400', eventName: 'Transfer' }, + ]; + const result = analyzePatterns(events); + expect(result.sequentialBlocks).toBe(3); + }); + + it('should handle non-sequential blocks', () => { + const events: EventData[] = [ + { blockNumber: 100, transactionHash: '0x1', from: '0xA', to: '0xB', value: '100', eventName: 'Transfer' }, + { blockNumber: 105, transactionHash: '0x2', from: '0xC', to: '0xD', value: '200', eventName: 'Transfer' }, + { blockNumber: 110, transactionHash: '0x3', from: '0xE', to: '0xF', value: '300', eventName: 'Transfer' }, + ]; + const result = analyzePatterns(events); + expect(result.sequentialBlocks).toBe(1); + }); + }); + + describe('calculateSpamScore', () => { + it('should return 0 for no events', () => { + const score = calculateSpamScore(0, 0, 0, { + repeatedFrom: 0, + repeatedTo: 0, + repeatedValue: 0, + sequentialBlocks: 0 + }); + expect(score).toBe(0); + }); + + it('should return high score for low entropy', () => { + const score = calculateSpamScore(0.5, 100, 2, { + repeatedFrom: 50, + repeatedTo: 50, + repeatedValue: 50, + sequentialBlocks: 30 + }); + expect(score).toBeGreaterThan(50); + }); + + it('should return low score for high entropy', () => { + const score = calculateSpamScore(10, 100, 80, { + repeatedFrom: 2, + repeatedTo: 2, + repeatedValue: 1, + sequentialBlocks: 1 + }); + expect(score).toBeLessThan(30); + }); + + it('should return score between 0 and 100', () => { + const score = calculateSpamScore(5, 100, 50, { + repeatedFrom: 10, + repeatedTo: 10, + repeatedValue: 5, + sequentialBlocks: 10 + }); + expect(score).toBeGreaterThanOrEqual(0); + expect(score).toBeLessThanOrEqual(100); + }); + + it('should increase score with high repetition', () => { + const lowRepetition = calculateSpamScore(5, 100, 50, { + repeatedFrom: 2, + repeatedTo: 2, + repeatedValue: 1, + sequentialBlocks: 1 + }); + + const highRepetition = calculateSpamScore(5, 100, 50, { + repeatedFrom: 80, + repeatedTo: 80, + repeatedValue: 80, + sequentialBlocks: 1 + }); + + expect(highRepetition).toBeGreaterThan(lowRepetition); + }); + }); + + describe('getSpamLevel', () => { + it('should return LOW for score < 40', () => { + expect(getSpamLevel(0)).toBe('LOW'); + expect(getSpamLevel(39)).toBe('LOW'); + }); + + it('should return MEDIUM for score 40-59', () => { + expect(getSpamLevel(40)).toBe('MEDIUM'); + expect(getSpamLevel(59)).toBe('MEDIUM'); + }); + + it('should return HIGH for score 60-79', () => { + expect(getSpamLevel(60)).toBe('HIGH'); + expect(getSpamLevel(79)).toBe('HIGH'); + }); + + it('should return CRITICAL for score >= 80', () => { + expect(getSpamLevel(80)).toBe('CRITICAL'); + expect(getSpamLevel(100)).toBe('CRITICAL'); + }); + }); + + describe('generateRecommendations', () => { + it('should generate recommendations for high spam level', () => { + const analysis: EntropyAnalysis = { + entropy: 1, + uniqueAddresses: 5, + totalEvents: 100, + spamScore: 85, + spamLevel: 'CRITICAL', + patterns: { + repeatedFrom: 60, + repeatedTo: 50, + repeatedValue: 70, + sequentialBlocks: 40 + }, + recommendations: [] + }; + const recommendations = generateRecommendations(analysis); + expect(recommendations.length).toBeGreaterThan(0); + expect(recommendations.some(r => r.includes('High spam'))).toBe(true); + }); + + it('should detect repeated from address pattern', () => { + const analysis: EntropyAnalysis = { + entropy: 5, + uniqueAddresses: 10, + totalEvents: 100, + spamScore: 50, + spamLevel: 'MEDIUM', + patterns: { + repeatedFrom: 60, + repeatedTo: 10, + repeatedValue: 10, + sequentialBlocks: 10 + }, + recommendations: [] + }; + const recommendations = generateRecommendations(analysis); + expect(recommendations.some(r => r.includes('same address'))).toBe(true); + }); + + it('should detect repeated to address pattern', () => { + const analysis: EntropyAnalysis = { + entropy: 5, + uniqueAddresses: 10, + totalEvents: 100, + spamScore: 50, + spamLevel: 'MEDIUM', + patterns: { + repeatedFrom: 10, + repeatedTo: 60, + repeatedValue: 10, + sequentialBlocks: 10 + }, + recommendations: [] + }; + const recommendations = generateRecommendations(analysis); + expect(recommendations.some(r => r.includes('target the same'))).toBe(true); + }); + + it('should detect repeated value pattern', () => { + const analysis: EntropyAnalysis = { + entropy: 5, + uniqueAddresses: 10, + totalEvents: 100, + spamScore: 50, + spamLevel: 'MEDIUM', + patterns: { + repeatedFrom: 10, + repeatedTo: 10, + repeatedValue: 60, + sequentialBlocks: 10 + }, + recommendations: [] + }; + const recommendations = generateRecommendations(analysis); + expect(recommendations.some(r => r.includes('identical values'))).toBe(true); + }); + + it('should detect sequential blocks pattern', () => { + const analysis: EntropyAnalysis = { + entropy: 5, + uniqueAddresses: 10, + totalEvents: 100, + spamScore: 50, + spamLevel: 'MEDIUM', + patterns: { + repeatedFrom: 10, + repeatedTo: 10, + repeatedValue: 10, + sequentialBlocks: 40 + }, + recommendations: [] + }; + const recommendations = generateRecommendations(analysis); + expect(recommendations.some(r => r.includes('sequential blocks'))).toBe(true); + }); + + it('should detect low entropy', () => { + const analysis: EntropyAnalysis = { + entropy: 1, + uniqueAddresses: 10, + totalEvents: 100, + spamScore: 50, + spamLevel: 'MEDIUM', + patterns: { + repeatedFrom: 10, + repeatedTo: 10, + repeatedValue: 10, + sequentialBlocks: 10 + }, + recommendations: [] + }; + const recommendations = generateRecommendations(analysis); + expect(recommendations.some(r => r.includes('low entropy'))).toBe(true); + }); + + it('should detect low unique addresses ratio', () => { + const analysis: EntropyAnalysis = { + entropy: 5, + uniqueAddresses: 5, + totalEvents: 100, + spamScore: 50, + spamLevel: 'MEDIUM', + patterns: { + repeatedFrom: 10, + repeatedTo: 10, + repeatedValue: 10, + sequentialBlocks: 10 + }, + recommendations: [] + }; + const recommendations = generateRecommendations(analysis); + expect(recommendations.some(r => r.includes('few unique addresses'))).toBe(true); + }); + + it('should return positive message for normal patterns', () => { + const analysis: EntropyAnalysis = { + entropy: 8, + uniqueAddresses: 80, + totalEvents: 100, + spamScore: 20, + spamLevel: 'LOW', + patterns: { + repeatedFrom: 2, + repeatedTo: 2, + repeatedValue: 1, + sequentialBlocks: 1 + }, + recommendations: [] + }; + const recommendations = generateRecommendations(analysis); + expect(recommendations.some(r => r.includes('appear normal'))).toBe(true); + }); + }); + + describe('analyzeEventEntropy', () => { + it('should return default analysis for empty events', () => { + const result = analyzeEventEntropy([]); + expect(result.totalEvents).toBe(0); + expect(result.entropy).toBe(0); + expect(result.spamScore).toBe(0); + expect(result.spamLevel).toBe('LOW'); + expect(result.recommendations).toContain('No events to analyze.'); + }); + + it('should analyze events with high diversity', () => { + const events: EventData[] = []; + for (let i = 0; i < 100; i++) { + events.push({ + blockNumber: 1000 + i, + transactionHash: `0x${i}`, + from: `0x${i.toString(16).padStart(40, '0')}`, + to: `0x${(i + 100).toString(16).padStart(40, '0')}`, + value: (i * 1000).toString(), + eventName: 'Transfer' + }); + } + const result = analyzeEventEntropy(events); + expect(result.totalEvents).toBe(100); + expect(result.entropy).toBeGreaterThan(5); + expect(result.spamScore).toBeLessThan(40); + expect(result.spamLevel).toBe('LOW'); + }); + + it('should detect spam in repetitive events', () => { + const events: EventData[] = []; + for (let i = 0; i < 100; i++) { + events.push({ + blockNumber: 1000 + i, + transactionHash: `0x${i}`, + from: '0x' + 'A'.repeat(40), + to: '0x' + 'B'.repeat(40), + value: '1000', + eventName: 'Transfer' + }); + } + const result = analyzeEventEntropy(events); + expect(result.totalEvents).toBe(100); + expect(result.entropy).toBeLessThan(3); + expect(result.spamScore).toBeGreaterThan(50); + expect(['HIGH', 'CRITICAL']).toContain(result.spamLevel); + expect(result.patterns.repeatedFrom).toBe(100); + expect(result.patterns.repeatedTo).toBe(100); + expect(result.patterns.repeatedValue).toBe(100); + }); + + it('should calculate correct unique addresses', () => { + const events: EventData[] = [ + { blockNumber: 100, transactionHash: '0x1', from: '0xA', to: '0xB', value: '100', eventName: 'Transfer' }, + { blockNumber: 101, transactionHash: '0x2', from: '0xA', to: '0xC', value: '200', eventName: 'Transfer' }, + { blockNumber: 102, transactionHash: '0x3', from: '0xD', to: '0xB', value: '300', eventName: 'Transfer' }, + ]; + const result = analyzeEventEntropy(events); + // Unique addresses: A, B, C, D = 4 + expect(result.uniqueAddresses).toBe(4); + }); + + it('should include recommendations in result', () => { + const events: EventData[] = []; + for (let i = 0; i < 50; i++) { + events.push({ + blockNumber: 1000 + i, + transactionHash: `0x${i}`, + from: '0x' + 'A'.repeat(40), + to: '0x' + 'B'.repeat(40), + value: '1000', + eventName: 'Transfer' + }); + } + const result = analyzeEventEntropy(events); + expect(result.recommendations.length).toBeGreaterThan(0); + }); + }); +}); + + diff --git a/typescript/event-entropy-analyzer-spam-detection/app.ts b/typescript/event-entropy-analyzer-spam-detection/app.ts new file mode 100644 index 0000000..67c13dc --- /dev/null +++ b/typescript/event-entropy-analyzer-spam-detection/app.ts @@ -0,0 +1,511 @@ +import { ethers } from 'ethers'; +import * as dotenv from 'dotenv'; +import express from 'express'; +import path from 'path'; + +dotenv.config(); + +// Common ERC-20 Transfer event signature +const TRANSFER_EVENT_SIGNATURE = 'Transfer(address,address,uint256)'; +const APPROVAL_EVENT_SIGNATURE = 'Approval(address,address,uint256)'; + +export interface EventData { + blockNumber: number; + transactionHash: string; + from: string; + to: string; + value: string; + eventName: string; +} + +export interface EntropyAnalysis { + entropy: number; + uniqueAddresses: number; + totalEvents: number; + spamScore: number; + spamLevel: 'LOW' | 'MEDIUM' | 'HIGH' | 'CRITICAL'; + patterns: { + repeatedFrom: number; + repeatedTo: number; + repeatedValue: number; + sequentialBlocks: number; + }; + recommendations: string[]; +} + +export interface AnalysisResult { + contractAddress: string; + eventType: string; + blockRange: { from: number; to: number }; + events: EventData[]; + analysis: EntropyAnalysis; +} + +/** + * Get provider for BSC network + */ +export function getBSCProvider(): ethers.Provider { + const rpcUrl = process.env.BSC_RPC_URL || 'https://bsc-dataseed1.binance.org/'; + return new ethers.JsonRpcProvider(rpcUrl); +} + +/** + * Calculate Shannon entropy for a set of values + * Higher entropy = more diversity = less spam + * Lower entropy = less diversity = more spam + */ +export function calculateEntropy(values: string[]): number { + if (values.length === 0) return 0; + + // Count frequency of each value + const frequencyMap = new Map(); + for (const value of values) { + frequencyMap.set(value, (frequencyMap.get(value) || 0) + 1); + } + + // Calculate entropy using Shannon entropy formula + let entropy = 0; + const total = values.length; + + for (const count of frequencyMap.values()) { + const probability = count / total; + if (probability > 0) { + entropy -= probability * Math.log2(probability); + } + } + + return entropy; +} + +/** + * Fetch events from a contract within a block range + */ +export async function fetchEvents( + contractAddress: string, + eventSignature: string, + fromBlock: number, + toBlock: number, + provider?: ethers.Provider +): Promise { + const rpcProvider = provider || getBSCProvider(); + + try { + // Get the event topic + const eventTopic = ethers.id(eventSignature); + + // Fetch logs + const logs = await rpcProvider.getLogs({ + address: contractAddress, + topics: [eventTopic], + fromBlock, + toBlock + }); + + const events: EventData[] = []; + const iface = new ethers.Interface([`event ${eventSignature}`]); + + for (const log of logs) { + try { + const parsedLog = iface.parseLog({ + topics: log.topics as string[], + data: log.data + }); + + if (parsedLog) { + const args = parsedLog.args as any[]; + + // Handle Transfer event: Transfer(address indexed from, address indexed to, uint256 value) + if (eventSignature === TRANSFER_EVENT_SIGNATURE && args.length >= 3) { + events.push({ + blockNumber: log.blockNumber, + transactionHash: log.transactionHash, + from: args[0]?.toString() || '', + to: args[1]?.toString() || '', + value: args[2]?.toString() || '0', + eventName: 'Transfer' + }); + } + // Handle Approval event: Approval(address indexed owner, address indexed spender, uint256 value) + else if (eventSignature === APPROVAL_EVENT_SIGNATURE && args.length >= 3) { + events.push({ + blockNumber: log.blockNumber, + transactionHash: log.transactionHash, + from: args[0]?.toString() || '', + to: args[1]?.toString() || '', + value: args[2]?.toString() || '0', + eventName: 'Approval' + }); + } + } + } catch (error) { + // Skip logs that can't be parsed + continue; + } + } + + return events; + } catch (error) { + throw new Error(`Failed to fetch events: ${error instanceof Error ? error.message : 'Unknown error'}`); + } +} + +/** + * Analyze patterns in events to detect spam indicators + */ +export function analyzePatterns(events: EventData[]): { + repeatedFrom: number; + repeatedTo: number; + repeatedValue: number; + sequentialBlocks: number; +} { + if (events.length === 0) { + return { repeatedFrom: 0, repeatedTo: 0, repeatedValue: 0, sequentialBlocks: 0 }; + } + + // Count repeated addresses + const fromCount = new Map(); + const toCount = new Map(); + const valueCount = new Map(); + const blockNumbers = events.map(e => e.blockNumber).sort((a, b) => a - b); + + for (const event of events) { + fromCount.set(event.from, (fromCount.get(event.from) || 0) + 1); + toCount.set(event.to, (toCount.get(event.to) || 0) + 1); + valueCount.set(event.value, (valueCount.get(event.value) || 0) + 1); + } + + // Calculate max repetition counts + const repeatedFrom = Math.max(...Array.from(fromCount.values())); + const repeatedTo = Math.max(...Array.from(toCount.values())); + const repeatedValue = Math.max(...Array.from(valueCount.values())); + + // Count sequential blocks (spam often comes in sequential blocks) + // Each block is at least a sequence of 1, so start with 1 + let sequentialBlocks = blockNumbers.length > 0 ? 1 : 0; + let currentSequence = 1; + for (let i = 1; i < blockNumbers.length; i++) { + if (blockNumbers[i] === blockNumbers[i - 1] + 1) { + currentSequence++; + sequentialBlocks = Math.max(sequentialBlocks, currentSequence); + } else { + currentSequence = 1; + // Even non-sequential blocks count as sequences of 1 + sequentialBlocks = Math.max(sequentialBlocks, 1); + } + } + + return { repeatedFrom, repeatedTo, repeatedValue, sequentialBlocks }; +} + +/** + * Calculate spam score based on entropy and patterns + * Returns a score from 0-100, where higher = more spam + */ +export function calculateSpamScore( + entropy: number, + totalEvents: number, + uniqueAddresses: number, + patterns: { repeatedFrom: number; repeatedTo: number; repeatedValue: number; sequentialBlocks: number } +): number { + if (totalEvents === 0) return 0; + + let score = 0; + + // Low entropy = high spam score (max 40 points) + // Normalize entropy (assuming max entropy for addresses is ~log2(uniqueAddresses)) + const maxPossibleEntropy = Math.log2(Math.max(uniqueAddresses, 1)); + const normalizedEntropy = maxPossibleEntropy > 0 ? entropy / maxPossibleEntropy : 0; + score += (1 - normalizedEntropy) * 40; + + // High repetition = high spam score (max 30 points) + const repetitionRatio = Math.max( + patterns.repeatedFrom / totalEvents, + patterns.repeatedTo / totalEvents, + patterns.repeatedValue / totalEvents + ); + score += repetitionRatio * 30; + + // Sequential blocks = high spam score (max 20 points) + const sequentialRatio = patterns.sequentialBlocks / totalEvents; + score += Math.min(sequentialRatio * 20, 20); + + // Low unique addresses ratio = high spam score (max 10 points) + const uniqueRatio = uniqueAddresses / totalEvents; + score += (1 - uniqueRatio) * 10; + + return Math.min(100, Math.max(0, score)); +} + +/** + * Determine spam level based on spam score + */ +export function getSpamLevel(spamScore: number): 'LOW' | 'MEDIUM' | 'HIGH' | 'CRITICAL' { + if (spamScore >= 80) return 'CRITICAL'; + if (spamScore >= 60) return 'HIGH'; + if (spamScore >= 40) return 'MEDIUM'; + return 'LOW'; +} + +/** + * Generate recommendations based on analysis + */ +export function generateRecommendations(analysis: EntropyAnalysis): string[] { + const recommendations: string[] = []; + + if (analysis.spamLevel === 'CRITICAL' || analysis.spamLevel === 'HIGH') { + recommendations.push('⚠️ High spam activity detected. Consider implementing rate limiting or filtering mechanisms.'); + } + + if (analysis.patterns.repeatedFrom > analysis.totalEvents * 0.5) { + recommendations.push('🔍 Many events originate from the same address. This could indicate bot activity.'); + } + + if (analysis.patterns.repeatedTo > analysis.totalEvents * 0.5) { + recommendations.push('🔍 Many events target the same address. This could indicate spam or airdrop activity.'); + } + + if (analysis.patterns.repeatedValue > analysis.totalEvents * 0.5) { + recommendations.push('🔍 Many events have identical values. This is a strong spam indicator.'); + } + + if (analysis.patterns.sequentialBlocks > analysis.totalEvents * 0.3) { + recommendations.push('🔍 Events occur in sequential blocks. This pattern is common in spam attacks.'); + } + + if (analysis.entropy < 2) { + recommendations.push('📊 Very low entropy detected. The event data shows little diversity, suggesting automated/spam activity.'); + } + + if (analysis.uniqueAddresses / analysis.totalEvents < 0.1) { + recommendations.push('👥 Very few unique addresses relative to total events. This indicates potential spam.'); + } + + if (recommendations.length === 0) { + recommendations.push('✅ Event patterns appear normal. No significant spam indicators detected.'); + } + + return recommendations; +} + +/** + * Perform complete entropy analysis on events + */ +export function analyzeEventEntropy(events: EventData[]): EntropyAnalysis { + if (events.length === 0) { + return { + entropy: 0, + uniqueAddresses: 0, + totalEvents: 0, + spamScore: 0, + spamLevel: 'LOW', + patterns: { repeatedFrom: 0, repeatedTo: 0, repeatedValue: 0, sequentialBlocks: 0 }, + recommendations: ['No events to analyze.'] + }; + } + + // Extract all addresses (from and to) + const allAddresses = [ + ...events.map(e => e.from), + ...events.map(e => e.to) + ]; + + // Calculate entropy for addresses + const addressEntropy = calculateEntropy(allAddresses); + + // Calculate entropy for values + const valueEntropy = calculateEntropy(events.map(e => e.value)); + + // Combined entropy (weighted average) + const entropy = (addressEntropy * 0.7 + valueEntropy * 0.3); + + // Count unique addresses + const uniqueAddressSet = new Set(allAddresses); + const uniqueAddresses = uniqueAddressSet.size; + + // Analyze patterns + const patterns = analyzePatterns(events); + + // Calculate spam score + const spamScore = calculateSpamScore(entropy, events.length, uniqueAddresses, patterns); + + // Determine spam level + const spamLevel = getSpamLevel(spamScore); + + const analysis: EntropyAnalysis = { + entropy, + uniqueAddresses, + totalEvents: events.length, + spamScore, + spamLevel, + patterns, + recommendations: [] + }; + + // Generate recommendations + analysis.recommendations = generateRecommendations(analysis); + + return analysis; +} + +/** + * Main analysis function + */ +export async function analyzeContractEvents( + contractAddress: string, + eventType: 'Transfer' | 'Approval' = 'Transfer', + fromBlock: number, + toBlock: number, + provider?: ethers.Provider +): Promise { + const eventSignature = eventType === 'Transfer' + ? TRANSFER_EVENT_SIGNATURE + : APPROVAL_EVENT_SIGNATURE; + + // Fetch events + const events = await fetchEvents(contractAddress, eventSignature, fromBlock, toBlock, provider); + + // Analyze entropy + const analysis = analyzeEventEntropy(events); + + return { + contractAddress, + eventType, + blockRange: { from: fromBlock, to: toBlock }, + events, + analysis + }; +} + +/** + * Main function for CLI usage + */ +export async function main() { + const contractAddress = process.env.CONTRACT_ADDRESS || process.argv[2]; + const eventType = (process.env.EVENT_TYPE || process.argv[3] || 'Transfer') as 'Transfer' | 'Approval'; + const fromBlock = parseInt(process.env.FROM_BLOCK || process.argv[4] || '0'); + const toBlockArg = process.env.TO_BLOCK || process.argv[5]; + const toBlock = toBlockArg && toBlockArg !== 'latest' ? parseInt(toBlockArg) : Number.MAX_SAFE_INTEGER; + + if (!contractAddress) { + console.error('Usage: npm start [contract-address] [Transfer|Approval] [from-block] [to-block]'); + console.error('Or set CONTRACT_ADDRESS, EVENT_TYPE, FROM_BLOCK, TO_BLOCK in .env file'); + console.error('Or run without arguments to start the web server'); + process.exit(1); + } + + console.log(`Analyzing ${eventType} events for contract: ${contractAddress}`); + console.log(`Block range: ${fromBlock} to ${toBlock === Number.MAX_SAFE_INTEGER ? 'latest' : toBlock}\n`); + + try { + const provider = getBSCProvider(); + const latestBlock = await provider.getBlockNumber(); + const actualToBlock = toBlock === Number.MAX_SAFE_INTEGER ? latestBlock : Math.min(toBlock, latestBlock); + + const result = await analyzeContractEvents( + contractAddress, + eventType, + fromBlock, + actualToBlock, + provider + ); + + console.log(`\n📊 Analysis Results:`); + console.log(`Total Events: ${result.analysis.totalEvents}`); + console.log(`Unique Addresses: ${result.analysis.uniqueAddresses}`); + console.log(`Entropy: ${result.analysis.entropy.toFixed(4)}`); + console.log(`Spam Score: ${result.analysis.spamScore.toFixed(2)}/100`); + console.log(`Spam Level: ${result.analysis.spamLevel}`); + console.log(`\nPatterns:`); + console.log(` Repeated From: ${result.analysis.patterns.repeatedFrom}`); + console.log(` Repeated To: ${result.analysis.patterns.repeatedTo}`); + console.log(` Repeated Value: ${result.analysis.patterns.repeatedValue}`); + console.log(` Sequential Blocks: ${result.analysis.patterns.sequentialBlocks}`); + console.log(`\nRecommendations:`); + result.analysis.recommendations.forEach(rec => console.log(` ${rec}`)); + } catch (error) { + console.error('Error:', error instanceof Error ? error.message : 'Unknown error'); + process.exit(1); + } +} + +/** + * Start Express server for web UI + */ +export function startServer(port: number = 3000) { + const app = express(); + + app.use(express.json()); + + // Serve static files from root directory + app.use(express.static(__dirname)); + + app.get('/', (req: express.Request, res: express.Response) => { + res.sendFile(path.join(__dirname, 'index.html')); + }); + + // API endpoint for event analysis + app.post('/api/analyze', async (req: express.Request, res: express.Response) => { + try { + const { contractAddress, eventType, fromBlock, toBlock } = req.body; + + if (!contractAddress) { + return res.status(400).json({ error: 'Contract address is required' }); + } + + if (!fromBlock && fromBlock !== 0) { + return res.status(400).json({ error: 'From block is required' }); + } + + const provider = getBSCProvider(); + let actualToBlock = toBlock; + + // If toBlock is not provided or is 'latest', get the latest block + if (!toBlock || toBlock === 'latest') { + const latestBlock = await provider.getBlockNumber(); + actualToBlock = latestBlock; + } + + const result = await analyzeContractEvents( + contractAddress, + eventType || 'Transfer', + parseInt(fromBlock), + parseInt(actualToBlock), + provider + ); + + res.json(result); + } catch (error) { + console.error('Analysis error:', error); + res.status(500).json({ + error: error instanceof Error ? error.message : 'Unknown error occurred' + }); + } + }); + + app.listen(port, () => { + console.log(`Event Entropy Analyzer server running on http://localhost:${port}`); + console.log('Open your browser to view the UI'); + }); +} + +// Run if executed directly +if (require.main === module) { + // Check if 'server' is explicitly requested or no CLI arguments provided + if (process.argv[2] === 'server' || process.argv.length === 2) { + const port = parseInt(process.env.PORT || process.argv[3] || '3000'); + startServer(port); + } else { + // CLI mode - use argument or env var + const contractAddress = process.env.CONTRACT_ADDRESS || process.argv[2]; + if (!contractAddress) { + console.error('Usage: npm start [contract-address] [Transfer|Approval] [from-block] [to-block]'); + console.error('Or set CONTRACT_ADDRESS, EVENT_TYPE, FROM_BLOCK, TO_BLOCK in .env file'); + console.error('Or run without arguments to start the web server'); + process.exit(1); + } + // Update argv for main function + process.argv[2] = contractAddress; + main().catch(console.error); + } +} + diff --git a/typescript/event-entropy-analyzer-spam-detection/env.template b/typescript/event-entropy-analyzer-spam-detection/env.template new file mode 100644 index 0000000..437530c --- /dev/null +++ b/typescript/event-entropy-analyzer-spam-detection/env.template @@ -0,0 +1,18 @@ +# BSC RPC Endpoint +BSC_RPC_URL=https://bsc-dataseed1.binance.org/ + +# Contract address to analyze (optional - can also be passed as argument) +CONTRACT_ADDRESS= + +# Event type (Transfer or Approval, default: Transfer) +EVENT_TYPE=Transfer + +# From block number (default: 0) +FROM_BLOCK=0 + +# To block number (default: latest) +TO_BLOCK=latest + +# Server port +PORT=3000 + diff --git a/typescript/event-entropy-analyzer-spam-detection/index.html b/typescript/event-entropy-analyzer-spam-detection/index.html new file mode 100644 index 0000000..f12a3b9 --- /dev/null +++ b/typescript/event-entropy-analyzer-spam-detection/index.html @@ -0,0 +1,603 @@ + + + + + + Event Entropy Analyzer - Spam Detection | BNBChain Cookbook + + + +
+

🔍 Event Entropy Analyzer - Spam Detection

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+

About This Tool

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+

+ The Event Entropy Analyzer is a powerful tool for detecting spam patterns in blockchain events + on the BNB Smart Chain (BSC). By analyzing the entropy (randomness/diversity) of event data, + we can identify suspicious patterns that indicate automated spam activity. +

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What is Entropy?

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+ Entropy measures the randomness or diversity in a dataset. In blockchain event analysis: +

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  • High Entropy: Diverse addresses and values → Legitimate activity
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  • Low Entropy: Repetitive patterns → Potential spam
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How It Works

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+ The analyzer examines Transfer or Approval events from a smart contract and calculates: +

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  • Shannon Entropy: Measures diversity in addresses and values
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  • Pattern Detection: Identifies repeated addresses, values, and sequential blocks
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  • Spam Score: Combines entropy and patterns into a 0-100 spam likelihood score
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Spam Indicators

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  • Many events from the same address (bot activity)
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  • Many events to the same address (airdrop spam)
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  • Identical values across many events
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  • Events occurring in sequential blocks
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  • Low unique address ratio
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+ +

Use Cases

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  • Detect spam token transfers
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  • Identify bot-driven activity
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  • Monitor contract health
  • +
  • Security analysis and auditing
  • +
+ +
+ Example:
+ Contract: 0x55d398326f99059fF775485246999027B3197955 (USDT)
+ Event Type: Transfer
+ Block Range: Last 1000 blocks +
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+

Analyze Events

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Analyzing events... This may take a moment.

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📊 Analysis Summary

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+ Total Events + - +
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+ Unique Addresses + - +
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+ Entropy + - +
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+ Spam Score + - +
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+ Spam Level + + - + +
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🔍 Pattern Analysis

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+ Max Repeated From Address + - +
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+ Max Repeated To Address + - +
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+ Max Repeated Value + - +
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+ Sequential Blocks + - +
+
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+ + + + + diff --git a/typescript/event-entropy-analyzer-spam-detection/jest.config.js b/typescript/event-entropy-analyzer-spam-detection/jest.config.js new file mode 100644 index 0000000..c822a6f --- /dev/null +++ b/typescript/event-entropy-analyzer-spam-detection/jest.config.js @@ -0,0 +1,22 @@ +module.exports = { + preset: 'ts-jest', + testEnvironment: 'node', + roots: [''], + testMatch: ['**/*.test.ts'], + collectCoverageFrom: [ + 'app.ts', + '!**/*.test.ts', + '!**/node_modules/**', + '!**/dist/**' + ], + coverageThreshold: { + global: { + branches: 80, + functions: 80, + lines: 80, + statements: 80 + } + } +}; + + diff --git a/typescript/event-entropy-analyzer-spam-detection/package-lock.json b/typescript/event-entropy-analyzer-spam-detection/package-lock.json new file mode 100644 index 0000000..f8d94d3 --- /dev/null +++ b/typescript/event-entropy-analyzer-spam-detection/package-lock.json @@ -0,0 +1,5318 @@ +{ + "name": "event-entropy-analyzer-spam-detection", + "version": 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entropy to detect spam patterns on BSC", + "main": "app.js", + "scripts": { + "build": "tsc", + "start": "node app.js", + "test": "jest", + "test:watch": "jest --watch", + "test:coverage": "jest --coverage", + "dev": "ts-node app.ts", + "server": "ts-node server.ts", + "serve": "npm run server" + }, + "keywords": [ + "bnbchain", + "bsc", + "ethereum", + "entropy", + "spam-detection", + "events", + "security", + "analyzer" + ], + "author": "", + "license": "MIT", + "dependencies": { + "ethers": "^6.9.0", + "dotenv": "^16.3.1", + "express": "^4.18.2" + }, + "devDependencies": { + "@types/express": "^4.17.21", + "@types/jest": "^29.5.11", + "@types/node": "^20.10.6", + "jest": "^29.7.0", + "ts-jest": "^29.1.1", + "ts-node": "^10.9.2", + "typescript": "^5.3.3", + "http-server": "^14.1.1" + } +} + diff --git a/typescript/event-entropy-analyzer-spam-detection/server.d.ts b/typescript/event-entropy-analyzer-spam-detection/server.d.ts new file mode 100644 index 0000000..21e3405 --- /dev/null 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error.message : 'Unknown error occurred' + }); + } +}); + +// Serve index.html for root route +app.get('/', (req, res) => { + res.sendFile(path.join(currentDir, 'index.html')); +}); + +app.listen(PORT, () => { + console.log(`🚀 Event Entropy Analyzer server running on http://localhost:${PORT}`); + console.log(`📊 Open your browser to view the UI`); +}); + diff --git a/typescript/event-entropy-analyzer-spam-detection/setup.sh b/typescript/event-entropy-analyzer-spam-detection/setup.sh new file mode 100644 index 0000000..91bdf81 --- /dev/null +++ b/typescript/event-entropy-analyzer-spam-detection/setup.sh @@ -0,0 +1,76 @@ +#!/bin/bash + +# Event Entropy Analyzer - Spam Detection Setup Script +# This script sets up the project with all necessary dependencies and configuration + +set -e + +echo "🚀 Setting up Event Entropy Analyzer - Spam Detection..." +echo "" + +# Check if Node.js is installed +if ! command -v node &> /dev/null; then + echo "❌ Node.js is not installed. Please install Node.js 18+ and try again." + exit 1 +fi + +# Check Node.js version +NODE_VERSION=$(node -v | cut -d'v' -f2 | cut -d'.' -f1) +if [ "$NODE_VERSION" -lt 18 ]; then + echo "❌ Node.js version 18 or higher is required. Current version: $(node -v)" + exit 1 +fi + +echo "✅ Node.js $(node -v) detected" +echo "" + +# Install dependencies +echo "📦 Installing dependencies..." +npm install + +echo "" + +# Create .env file if it doesn't exist +if [ ! -f .env ]; then + echo "⚙️ Creating .env file..." + cat > .env << EOF +# BSC RPC URL +# You can use the public endpoint or your own BSC node +BSC_RPC_URL=https://bsc-dataseed1.binance.org/ + +# Alternative RPC endpoints (uncomment to use): +# BSC_RPC_URL=https://bsc-dataseed2.binance.org/ +# BSC_RPC_URL=https://bsc-dataseed3.binance.org/ +# BSC_RPC_URL=https://bsc-dataseed4.binance.org/ +# BSC_RPC_URL=https://bsc-dataseed.binance.org/ +EOF + echo "✅ .env file created with default BSC RPC URL" +else + echo "ℹ️ .env file already exists, skipping creation" +fi + +echo "" + +# Build the project +echo "🔨 Building TypeScript project..." +npm run build + +echo "" + +# Run tests +echo "🧪 Running tests..." +npm test + +echo "" +echo "✅ Setup complete!" +echo "" +echo "📝 Next steps:" +echo " 1. Run 'npm start [Transfer|Approval] [from-block] [to-block]' for CLI usage" +echo " 2. Run 'npm run serve' to start the web interface and API server" +echo " 3. Open http://localhost:8080 in your browser" +echo "" +echo "📚 Example usage:" +echo " npm start 0x55d398326f99059fF775485246999027B3197955 Transfer 35000000 35001000" +echo "" +echo "🎉 Happy analyzing!" + diff --git a/typescript/event-entropy-analyzer-spam-detection/tsconfig.json b/typescript/event-entropy-analyzer-spam-detection/tsconfig.json new file mode 100644 index 0000000..c7ed6ef --- /dev/null +++ b/typescript/event-entropy-analyzer-spam-detection/tsconfig.json @@ -0,0 +1,22 @@ +{ + "compilerOptions": { + "target": "ES2020", + "module": "commonjs", + "lib": ["ES2020", "DOM"], + "outDir": "./", + "rootDir": "./", + "strict": true, + "esModuleInterop": true, + "skipLibCheck": true, + "forceConsistentCasingInFileNames": true, + "resolveJsonModule": true, + "moduleResolution": "node", + "declaration": true, + "declarationMap": true, + "sourceMap": true + }, + "include": ["**/*.ts"], + "exclude": ["node_modules", "dist", "**/*.test.ts"] +} + +