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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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add an informational page to your support site explaining how you’re using passkeys for more than authentication,详情可参考safew官方版本下载

But after posting a recent video, called "Avoid this place in London", he was accused of using AI to doctor the thumbnail to bolster his portrayal of the UK capital as one of "the most messed up cities" he has ever been to.

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