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.
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Still, Ackerman said he was interested in learning more about the search terms that can trigger an alert, and whether the list accounts for common words and phrases teens use to avoid algorithmic detection of suicide discussion.，详情可参考safew官方下载
all these optimizations right. If you think that one of these
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