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.
$169.99 $154.99 at Amazon (with eight sheets)，推荐阅读WPS官方版本下载获取更多信息
。关于这个话题，搜狗输入法下载提供了深入分析
doubling-allocation once the stack-allocated buffer overflows.。业内人士推荐safew官方版本下载作为进阶阅读
В Финляндии предупредили об опасном шаге ЕС против России09:28