Webinar Description
Key Takeaways
- Examines over 60 suspected DPRK-linked cyberattacks on the cryptocurrency ecosystem in 2026, with losses exceeding $1 billion.
- Analyzes the Bitget exploit, where $387.5 million was stolen without compromising a private key.
- Covers social engineering, malware injection, and evolving laundering techniques including laundering-as-a-service.
- Designed for crypto compliance professionals, security teams, law enforcement, and regulators.
About the Event
This 45-minute webinar, hosted by Elliptic’s Intelligence Team, provides a detailed analysis of North Korean cyber operations targeting the cryptocurrency sector. The session traces the tactics, techniques, and laundering methods employed by DPRK-linked actors throughout 2026, a year marked by a significant escalation in both the frequency and sophistication of attacks.
Attack Methods and Case Studies
The webinar examines recurring patterns that connect multiple heists, focusing on how DPRK actors combine social engineering with malware injection to compromise targets. A central case study is the Bitget exploit, notable for the theft of $387.5 million without requiring access to a private key. This incident illustrates the technical sophistication of current attack vectors and the challenges they pose for existing security controls.
Laundering Networks and Attribution
Beyond initial theft, the session explores how stolen funds are moved through laundering networks. Topics include the shift toward permissionless services and the emergence of laundering-as-a-service models. The webinar also addresses attribution methodologies, explaining how analysts link incidents to DPRK actors based on observable patterns.
Who Should Attend
This webinar is relevant for crypto compliance professionals, security and risk teams at exchanges and financial institutions, law enforcement personnel, government regulators, and senior management at fintech and digital asset firms seeking to understand nation-state threats and strengthen anti-money laundering controls.