Blockchain Forensics & Emergency Response

Overview

SharkTeam delivers specialist blockchain forensics and emergency incident response services, combining on-chain forensic investigation, fund flow tracing, hacker attribution, and asset recovery support. The service operates 24/7 with a dedicated team of on-chain security experts, supported by the ChainAegis platform's deep graph analysis engine for APT-level threat investigation.

Core Forensic Capabilities

• Fund flow tracing — Detailed tracking of stolen or suspicious assets across wallets, bridges, mixers, and exchanges to map the complete movement of compromised funds
• Hack and exploit investigation — Comprehensive forensic analysis reconstructing how an attack was executed, identifying exploit techniques and attacker methodologies
• Hacker attribution and tracking — Cross-chain tracking and exchange deposit monitoring to attribute and monitor attacker addresses
• Fund recovery — Active engagement with exchanges, law enforcement, and on-chain mechanisms to recover stolen assets where possible
• On-chain analysis reports — Post-incident documentation covering attack vectors, fund movements, and prevention recommendations suitable for legal proceedings and regulatory reporting
• Blacklist address monitoring — Ongoing surveillance of known attacker addresses to prevent further movement of compromised funds

ChainAegis Intelligent Analysis

Powered by SharkTeam's deep graph analysis engine, ChainAegis supports unlimited levels of extended address and transaction analysis with drag-and-drop investigation paths, enabling thorough APT-level forensic investigation. The platform provides data API access to on-chain labels, blacklists, risk addresses, and risk transactions to support investigation workflows.

Incident Types Covered

• Smart contract exploits and flash loan attacks
• Private key compromises
• Rugpulls and exit scams
• Oracle manipulation attacks
• Cross-chain bridge attacks

Response Model

Available 24 hours a day, 7 days a week with systematic emergency response mechanisms developed from real-world incident experience.