Cyber fraud victims increasingly report suspect cryptocurrency wallet addresses used by fraudsters for collection of funds in cases involving: • investment scams, • task-based frauds, • sextortion, • ransomware, • phishing, • darknet transactions, • and organized cyber-enabled financial crimes. During investigations, the reported wallet addresses are often: • non-custodial wallets, • temporary burner wallets, • or intermediary wallets used for layering and laundering. The inability to quickly id
The proposed solution envisages a Real-Time Crypto Fraud Attribution System that can automatically analyzing victim-reported wallet addresses and identifying the nearest exchange or VASP receiving direct deposits.
Cyber fraud victims increasingly report suspect cryptocurrency wallet addresses used by fraudsters for collection of funds in cases involving: investment scams task-based frauds
The proposed solution envisages a Real-Time Crypto Fraud Attribution System that can automatically analyzing victim-reported wallet addresses and identifying the nearest exchange or VASP receiving direct deposits. The system should: • ingest wallet addresses reported through cybercrime complaint systems, • automatically perform blockchain tracing, • identify associated exchanges or VASPs, • detect fund movement patterns, • and generate actionable intelligence for investigators. Key features may include: • blockchain transaction graph analysis, • clustering of exchange wallets, • detection of intermediary laundering wallets, • identification of cross-chain fund movement, • integration with SAHYOG and NCRP systems, • automated alert generation, • and risk categorization of wallets. The s