Gas price anomaly detection identifies abnormal Ethereum fee patterns linked to front-running, sandwich attacks, and post-exploit fund movements.

Exchange deposit addresses show distinctive on-chain patterns: high fan-in transaction volumes, rapid consolidation sweeps, and UTXO clustering. Here is how to identify them.

Five red flags identify fraudulent crypto recovery services: upfront fee demands, recovery guarantees, no verifiable credentials, anonymous teams, and pressure tactics. Here is what to check.

Mempool monitoring detects real-time criminal activity in unconfirmed Bitcoin transactions, enabling investigators to flag fraud before block confirmation.

The Travel Rule requires crypto exchanges to transmit originator and beneficiary data with every transaction above £1,000. Here is the 2026 technical implementation guide.

On-chain co-spending analysis links Bitcoin addresses through common input ownership heuristics to build wallet clusters and support fraud attribution.

Real-time on-chain analysis tracks live transactions as they occur. Historical analysis reconstructs past fund flows. Both serve different investigative purposes with distinct technical requirements.

HD wallet gap analysis identifies hidden addresses by detecting derivation gaps in hierarchical deterministic wallets for recovery and fraud investigation.

On-chain analysis findings must be independently verifiable using raw transaction data, alternative tools, and documented methodology. Here is how to validate blockchain forensics.

NFT provenance tracing uses on-chain transfer records and marketplace events to track stolen digital assets and support recovery and legal proceedings.