The annual security report of Slow Fog indicates that the total loss from security incidents throughout the year is approximately $2.935 billion

According to the incomplete statistics from Slow Fog Blockchain, there were a total of 200 security incidents throughout the year, resulting in losses of approximately $2.935 billion. Compared to 2024 (410 incidents, losses of about $2.013 billion), although the number of incidents has significantly decreased, the amount of losses has increased by about 46% year-on-year.

From an ecological distribution perspective, Ethereum remains the most frequently attacked and severely affected ecosystem, with annual losses of approximately $254 million, significantly leading in proportion; BSC follows closely, with related losses of about $21.93 million; Solana ranks third, with annual losses of about $17.45 million. By project track classification, DeFi projects are the most commonly attacked area: in 2025, there were a total of 126 security incidents, accounting for about 63% of the total for the year, resulting in losses of approximately $649 million, a decrease of about 37% compared to 2024 (339 incidents, losses of $1.029 billion). There were only 12 incidents on trading platforms, yet they caused losses as high as $1.809 billion, with Bybit suffering a single loss of about $1.46 billion, marking the most severe incident of the year.

In terms of the reasons for the incidents, contract vulnerabilities were the main cause, totaling 61 incidents; X account hacks followed closely, with a total of 48 incidents. The report points out that with the accelerated popularization of generative AI over the past two years, attackers have also begun to incorporate it into their fraud and attack chains. Compared to traditional tools, AI's capabilities in text, voice synthesis, image, and video generation have significantly reduced the cost of fraud, making attacks no longer reliant on crude scripts or obviously abnormal behaviors, but rather through highly realistic content, coherent interactions, and precise target selection, making it psychologically more difficult for victims to detect risks.