This does not mean confusables.txt is wrong. It means confusables.txt is a visual-similarity claim that has never been empirically validated at scale. Many entries map characters to the same abstract target under NFKC decomposition (mathematical bold A to A, for instance), and the mapping is semantically correct even if the glyphs look nothing alike. But if you treat every confusables.txt entry as equally dangerous for UI security, you are generating massive false positive rates for 96.5% of the dataset.
（六）其他由省级以上公安机关会同电信、广播电视等主管部门认定的，专门用于实施网络违法犯罪或者具有规避监管制度功能的设备、软件、工具、服务。，详情可参考雷电模拟器官方版本下载
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const concat = (...arrays) = {