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The act of forgery is the act of imitation. This by itself is strictly-speaking legal, as a form of fiction or self-expression. It's only when one attempts to use a forgery as a substitute for the authentic thing that it creates problems. How this plays out in practice depends on the situation, and mainly depends on what authenticity would signify.
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But the automatic scan is just the first layer. When it flags something as suspicious or when a user wants to investigate a page further, Muninn offers a deeper scan that analyzes a screenshot of the page. Where the automatic scan is optimized for precision (keeping false alarms low so it doesn't disrupt your browsing), the deep scan is optimized for coverage. When we ran the full dataset through the deep scan, it caught every single confirmed phishing site with zero false negatives. The tradeoff is that it flagged all 9 of the legitimate sites in our dataset as suspicious, which is worth it when you're actively investigating a link you don't trust. The way to think about it is that the automatic scan is your always-on safety net that stays out of your way, and the deep scan is the cautious second opinion that would rather be wrong about a safe page than let a phishing page through.
В Москве прошла самая снежная зима14:52。关于这个话题，谷歌浏览器【最新下载地址】提供了深入分析