2月27日消息，区块链安全机构TRM Labs发布报告称，过去一年AI加密货币诈骗活动激增约500%。生成式人工智能与大型语言模型（LLM）的普及，使网络钓鱼、身份冒充与洗钱流程实现高度自动化，攻击规模与速度显著提升。
报告指出，黑客利用AI批量生成钓鱼邮件、虚假投资网站及高仿聊天机器人，通过个性化话术提升互动率，并借助翻译工具实现跨语言扩散。深度伪造音视频技术则被用于冒充企业高管或公众人物，加速“杀猪盘”和情感诈骗的信任建立过程。机器学习模型还能自动测试被盗账号、扫描助记词和私钥，甚至识别智能合约漏洞，在短时间内完成资金窃取。
近期案例凸显风险升级。一名加密巨鲸因社交工程攻击损失1459枚Bitcoin及205万枚Litecoin，总额高达2.82亿美元。美国执法部门亦在北卡罗来纳州查获逾6100万美元的Tether，资金来源涉及跨境洗钱。
数据显示，2025年非法加密交易规模达1580亿美元，同比增长约145%，其中约300亿美元与诈骗相关。Chainalysis指出，AI驱动的诈骗单次行动收入为传统诈骗的4.5倍，日均交易次数高出9倍。Vectra AI则披露，AI诈骗案件增长1210%。
安全机构强调，面对AI加密货币诈骗升级，防御端同样需要部署自动化监测与链上分析工具。随着攻击生命周期被全面加速，数字资产安全体系正面临新一轮技术对抗。
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