Evolution of Virtual Asset Hacking: Surge in Social Engineering Techniques Instead of Large Exchange Attacks in 2026

As of April 27, 2026, the virtual asset industry faces a strange paradox. While the multi-billion dollar 'mega hacks' of 2025 have decreased, the frequency of attacks has surged by 68% year-on-year during the first four months of this year.

The primary attack vector has now shifted from logical flaws in smart contract code to human psychological vulnerabilities. In particular, impersonation scams have emerged as a new threat to the market, recording an explosive 1,400% increase compared to the previous year.

During the first quarter of 2026, a total of $482.6 million was stolen through 44 virtual asset attacks. This is a decrease in the total amount of damage compared to the first quarter of 2025, which saw a $1.46 billion breach of Bybit. However, while the scale of damage has decreased, the frequency of decentralized finance (DeFi) incidents has increased sharply, rising from 28 to 47 incidents compared to the same period last year.

Off-chain attacks now account for 76% of all hacking losses, forcing a shift from code-centric security to operational and human-centric security.

Over the past year, losses from off-chain attacks such as credential theft, social engineering, and supply chain manipulation reached $2.2 billion. Rather than struggling to break through robust smart contract code, hackers now prefer to exploit operational loopholes or administrator negligence. This trend suggests that even protocols that have completed security audits can collapse through human error or psychological manipulation.

Industrialization of Fraud Methods Through AI Technology

The advancement of artificial intelligence (AI) has accelerated the 'industrialization' of fraud methods. AI-powered scams are recording 4.5 times higher profitability than traditional methods, and techniques impersonating authoritative institutions or figures have grown by 1,400%. This specialized fraud ecosystem is deceiving even experienced users by deploying sophisticated deepfakes and automated phishing tools.

• On April 15, 2026, an incident occurred where $100,000 was stolen from the hot wallet of Zerion, a virtual asset wallet service.
• The attack was analyzed as the result of a sustained operation employing AI-based social engineering techniques.
• Security firm CertiK cited this as a representative example of aggressive AI utilization targeting virtual asset platforms.

Interesting changes are also observed in the field of ransomware. While the total payout amount slightly decreased by 8% year-on-year to approximately $820 million, the median ransomware payout surged by 368%. This shows that attackers are maximizing efficiency by precisely targeting entities capable of paying high amounts instead of indiscriminate attacks.

Additionally, as of early 2026, Chinese Money Laundering Networks (CMLN) have emerged as the dominant force in the on-chain illicit ecosystem. They are leading the advancement and diversification of virtual asset crimes by providing various professional criminal services in addition to money laundering. The expansion of these networks is making it more difficult for regulatory authorities to track the flow of funds.

Voices of concern are rising within the industry, defining the current situation as a 'Hacking Epidemic.' DL News reported that threats have become so commonplace that even experienced users cannot shake the suspicion that they are being exposed to social engineering techniques. This is spreading beyond simple technical flaws to a trust issue for the entire market.

Key Security Strategies for the Second Half of 2026

The success or failure of future virtual asset security depends on how human factors are managed in addition to technical defenses. Including operational risks and human vulnerabilities in the scope of protocol audits is emerging as an essential task. Security priorities the industry should focus on for the remainder of 2026 are as follows:

• Preemptive introduction and advancement of AI-based defense tools
• Strengthening real-time monitoring of cross-chain criminal activities
• International regulatory cooperation and response to Chinese Money Laundering Networks (CMLN)
• Expanding the scope of protocol audits beyond technical code to human operational risks