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.
wget https://gitcode.com/anqicms/anqicms/releases/download/v3.5.7/anqicms-android-termux-v3.5.7.zip
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Жители Санкт-Петербурга устроили «крысогон»17:52。爱思助手下载最新版本对此有专业解读
Цены на нефть взлетели до максимума за полгода17:55,更多细节参见heLLoword翻译官方下载
他同时透露,已有 43 个主流大模型基于昇腾进行预训练,超过 200 个开源模型完成适配,推动 6000 余个解决方案落地。