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.
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Friedmann’s response was cryptic: “It’s all the stuff I’ve already done.”
For implementers, BYOB adds significant complexity. The stream must track pending BYOB requests, handle partial fills, manage buffer detachment correctly, and coordinate between the BYOB reader and the underlying source. The Web Platform Tests for readable byte streams include dedicated test files just for BYOB edge cases: detached buffers, bad views, response-after-enqueue ordering, and more.，更多细节参见PDF资料
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To see the exit code of the program:。体育直播对此有专业解读