Obfuscation raises the interpretation cost of smart-contract auditing, yet its signals are hard to transfer across chains. We present HOBFNET, a fast surrogate of OBFPROBE, enabling million-scale cross-chain scoring. The model aligns with tool outputs on Ethereum (PCC 0.9158, MAPE 8.20 percent) and achieves 8-9 ms per contract, yielding a 2.3k-5.2k times speedup. Across BSC, Polygon, and Avalanche, we observe systematic score drift, motivating within-chain percentile queues (p99 as the main queue, p99.9 as an emergency queue). The high-score tail is characterized by rare selectors, external-call enrichment, and low signature density, supporting secondary triage. Cross-chain reuse is tail-enriched and directionally biased from smaller to larger ecosystems. On two publicly alignable cross-chain spillover cases, both fall into the p99 queue, indicating real-world hit value. We deliver a two-tier audit queue and a cross-chain linkage workflow for practical security operations.

翻译：混淆增加了智能合约审计的解读成本，但其信号难以跨链传递。我们提出了HOBFNET，作为OBFPROBE的快速替代模型，实现了百万规模的跨链评分。该模型在以太坊上与工具输出结果高度一致（皮尔逊相关系数0.9158，平均绝对百分比误差8.20%），单合约处理时间达8-9毫秒，实现了2.3千至5.2千倍的加速。在BSC、Polygon和Avalanche上的观测显示系统性评分漂移，这促使我们建立链内百分位队列（p99作为主队列，p99.9作为应急队列）。高分尾部的特征表现为罕见选择器、外部调用富集和低签名密度，支持二次分诊机制。跨链复用呈现尾部富集现象，并存在从小型生态向大型生态的定向偏差。在两个可公开对齐的跨链溢出案例中，二者均落入p99队列，表明其具有实际命中价值。我们提出了双层审计队列与跨链关联工作流，以支持实际安全运维。