The Advanced Blockchain Analytics module provides comprehensive cryptocurrency investigation capabilities for Bitcoin, Ethereum, Litecoin, and other blockchain networks. This module enables investigators to analyze wallet addresses, track transaction flows, identify risk factors, and detect money laundering patterns.

• Bitcoin: Complete transaction analysis and wallet clustering
• Ethereum: Smart contract interaction analysis and token tracking
• Litecoin: Transaction flow and address attribution
• Other Networks: Extensible support for additional blockchains

• Transaction Flow Analysis: Multi-hop transaction tracking
• Wallet Clustering: Identity resolution across related addresses
• Exchange Attribution: Identification of major exchange wallets
• Risk Scoring: ML-based risk assessment algorithms
• Sanctions Checking: OFAC and other sanctions list verification

• Money Laundering Detection: Pattern recognition for suspicious flows
• Dark Web Marketplace Integration: Known criminal address identification
• Cross-Chain Analysis: Multi-blockchain correlation
• Temporal Analysis: Time-based transaction pattern detection

[blockchain_analytics]
blockcypher_api_key = your_blockcypher_key
etherscan_api_key = your_etherscan_key

# Transaction analysis depth
transaction_depth = 3

# Risk assessment threshold (0.0-1.0)
risk_threshold = 0.6

# Enable sanctions checking
sanctions_check_enabled = True

# Enable wallet clustering
wallet_clustering_enabled = True

# API requests per second
api_rate_limit_per_second = 3

# Maximum concurrent requests
max_concurrent_requests = 5

• BITCOIN_ADDRESS
• ETHEREUM_ADDRESS
• CRYPTOCURRENCY_ADDRESS
• BLOCKCHAIN_TRANSACTION

• BLOCKCHAIN_ADDRESS_ANALYSIS
• CRYPTOCURRENCY_TRANSACTION
• BLOCKCHAIN_RISK_ASSESSMENT
• CRYPTOCURRENCY_EXCHANGE
• SANCTIONS_MATCH
• MONEY_LAUNDERING_INDICATOR

python sf.py -s 1A1zP1eP5QGefi2DMPTfTL5SLmv7DivfNa -t BITCOIN_ADDRESS -m sfp_blockchain_analytics

python sf.py -s 0x742d35Cc6634C0532925a3b8D400000abBAd2f3d -t ETHEREUM_ADDRESS -m sfp_blockchain_analytics

python sf.py -s crypto_addresses.txt -t FILE -m sfp_blockchain_analytics,sfp_advanced_correlation

• Sanctions List Matches: OFAC, EU, UN sanctions
• Dark Web Associations: Known criminal marketplace addresses
• Mixing Services: Tumbler and privacy coin usage
• High-Risk Exchanges: Exchanges with poor compliance
• Suspicious Patterns: Rapid fund movement, layering

• 0.0-0.3: Low risk (normal usage patterns)
• 0.3-0.6: Medium risk (some suspicious indicators)
• 0.6-0.8: High risk (multiple risk factors)
• 0.8-1.0: Critical risk (strong criminal indicators)

# Complete cryptocurrency investigation
-m sfp_blockchain_analytics,sfp_advanced_correlation

# Performance-optimized investigation
-m sfp_blockchain_analytics,sfp_performance_optimizer

# Multi-platform correlation
-m sfp_blockchain_analytics,sfp_tiktok_osint,sfp_advanced_correlation

• BlockCypher: Bitcoin, Litecoin, Dogecoin
• Etherscan: Ethereum, ERC-20 tokens
• BlockStream: Bitcoin block explorer
• Infura: Ethereum node access

• Free tier limitations apply to most APIs
• Premium plans recommended for intensive investigations
• Built-in rate limiting prevents API quota exhaustion

• No private keys or sensitive data stored
• Query logs can be disabled for sensitive investigations
• Supports proxy configuration for anonymity

• GDPR-compliant data processing
• Configurable data retention policies
• Audit logging for compliance requirements

1. API Key Errors: Verify API keys in module configuration
2. Rate Limiting: Adjust rate limit settings or upgrade API plans
3. Network Timeouts: Check network connectivity and proxy settings
4. Invalid Addresses: Ensure proper address format validation

• Enable caching for repeated address queries
• Use batch processing for multiple addresses
• Configure appropriate rate limits for your API plan

• Transaction pattern recognition
• Anomaly detection algorithms
• Risk score calibration
• Behavioral analysis

• User-defined risk patterns
• Custom sanctions lists
• Proprietary threat intelligence feeds
• Industry-specific risk factors

For more information on blockchain investigation techniques, see the Advanced User Guide.