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Overview#
The Blockchain Threat Actor Tracking module delivers identification, monitoring, and attribution of malicious actors operating across blockchain networks. By maintaining a continuously updated database of wallet addresses linked to known threat actors and integrating threat intelligence from law enforcement, cybersecurity, and open-source intelligence sources, the system identifies criminal activity with confidence-scored attribution while tracking transactions across 47+ blockchain networks in real time.
Key Features#
- Known Threat Actor Wallet Database -- Continuously updated database covering APT groups, ransomware families, exploit campaigns, darknet markets, money laundering operations, sanctioned entities, and scam operations with confidence-scored attribution
- Real-Time Transaction Monitoring -- Observes mempool activity and confirmed transactions across all supported networks, instantly flagging any transaction involving tracked threat actor wallets with pattern recognition for suspicious behaviors
- Attribution Confidence Analysis -- Machine learning models assess confidence levels by combining on-chain behavior, transaction patterns, temporal analysis, and intelligence source credibility for probabilistic attribution scoring at five tiers from speculative to definitive
- APT Group Tracking -- Monitors nation-state and sophisticated criminal organizations conducting long-term blockchain operations with wallet portfolios, operational tempo analysis, and targeting pattern identification
- Ransomware Tracking -- Specialized monitoring of ransomware operator wallets covering hundreds of ransomware families with payment pattern analysis, victim intelligence, and Ransomware-as-a-Service affiliate tracking
- Exploit Wallet Monitoring -- Tracks addresses associated with DeFi exploits, exchange hacks, bridge compromises, and other technical cryptocurrency theft with post-exploit behavior analysis and fund recovery intelligence
- Darknet Market Intelligence -- Vendor wallet identification, marketplace escrow tracking, payment processor monitoring, and scam operation detection including phishing, Ponzi schemes, and investment fraud
- Behavioral Pattern Recognition -- Identifies money laundering indicators including rapid dispersion, mixer sequences, cross-chain hopping, exchange deposit patterns, time-delayed fund movement, peel chains, and dusting attacks
Supported Networks#
- Major Blockchains: Bitcoin, Ethereum, Tron, BNB Chain, Solana, Cardano, Polkadot, Avalanche
- Layer 2 Solutions: Polygon, Arbitrum, Optimism, Base, zkSync Era, Starknet, Linea
- EVM-Compatible Chains: Cronos, Moonbeam, Fantom, Gnosis Chain, Aurora, Celo, and more
- Additional Networks: Ripple, Stellar, Algorand, Cosmos, Near, Tezos, Aptos, Sui
Use Cases#
- Screening incoming cryptocurrency deposits at exchanges against known threat actor wallets in real time, flagging high-risk deposits for compliance review, and generating audit-ready documentation for regulatory examination
- Supporting law enforcement investigations with transaction tracing, attribution confidence scoring, evidence package generation, historical network analysis, and asset seizure intelligence for criminal prosecutions
- Enriching cybersecurity threat intelligence with blockchain attribution data to connect incidents across organizations through shared cryptocurrency wallets and detect emerging campaigns through wallet activity patterns
- Monitoring DeFi protocols for exploit wallet interactions in real time with rapid response alerts when known attackers target smart contracts, informing security auditing and vulnerability response
- Enforcing sanctions compliance by screening counterparties against sanctioned entity wallet lists from OFAC, UN, and international sources with complete audit documentation
Integration#
The module connects with exchange compliance systems, law enforcement investigation platforms, cybersecurity threat intelligence feeds, DeFi protocol security tools, and sanctions screening services. It supports role-based access control with comprehensive audit logging and meets SOC 2 Type II and ISO 27001 standards.
Last Reviewed: 2026-02-23