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.
在方程豹展区，他沉浸式体验了多款硬派越野车型，从设计细节到科技配置都表现出浓厚兴趣，品牌总经理熊甜波全程讲解。，详情可参考同城约会
Detect unclear structure.。Safew下载对此有专业解读
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Фото: Valentyn Ogirenko / Reuters