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.
尹 계엄 직후보다 낮은 국힘 지지율… 중도층서 9%로 역대 최저，推荐阅读同城约会获取更多信息
“我做的品牌，目标是全球最高端、最顶级的。”。业内人士推荐WPS下载最新地址作为进阶阅读
document.body.appendChild(a);。下载安装 谷歌浏览器 开启极速安全的 上网之旅。对此有专业解读
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