Flagged newborn domains, Tuesday, October 20, 2026
12,582 names at tier low or above, highest score first.
Signals, not verdicts. A domain appears here because heuristics matched its name, its infrastructure or the page it served on its first day. Where a model has looked at it, that is shown as an opinion with a confidence, not as a finding. Nothing on this page says a site is malicious. Read the evidence and decide for yourself.
Own one of these names and think the listing is wrong? Tell us and a person will look.
punycode name “청진영 scripts=HANGUL”
punycode name “초대 scripts=HANGUL”
punycode name “亦小鹿 scripts=CJK”
punycode name “变奏时空 scripts=CJK”
punycode name “véqynebeauty scripts=LATIN”
punycode name “vstättvo scripts=LATIN”
punycode name “안쌤뷰티스쿨 scripts=HANGUL”
punycode name “信得过品牌 scripts=CJK”
punycode name “长城立信 scripts=CJK”
punycode name “跨女 scripts=CJK”
punycode name “하시온 scripts=HANGUL”
punycode name “써포트 scripts=HANGUL”
punycode name “腾讯录 scripts=CJK”
punycode name “삼성목재 scripts=HANGUL”
punycode name “äwa scripts=LATIN”
punycode name “wir-gestalten-gärten scripts=LATIN”
punycode name “槽我雪 scripts=CJK”
punycode name “wohnungsräumer scripts=LATIN”
punycode name “肉便 scripts=CJK”
punycode name “华佗网 scripts=CJK”
punycode name “符它淘 scripts=CJK”
punycode name “yapımerkezi scripts=LATIN”
punycode name “小琳 scripts=CJK”
punycode name “清禾小说馆 scripts=CJK”
punycode name “小白编程 scripts=CJK”
punycode name “澜科 scripts=CJK”
punycode name “yj요양원 scripts=HANGUL/LATIN”
punycode name “케어랩클린 scripts=HANGUL”
punycode name “林子大了 scripts=CJK”
punycode name “건양주차대행 scripts=HANGUL”
punycode name “zaļaistrīsstūris scripts=LATIN”
punycode name “케이엔씨산업 scripts=HANGUL”
punycode name “죽산 scripts=HANGUL”
punycode name “해피밭 scripts=HANGUL”
punycode name “zinabeauté scripts=LATIN”
punycode name “zoneprotéine scripts=LATIN”
punycode name “zooplus-vânzare scripts=LATIN”
punycode name “zorèvelle scripts=LATIN”
punycode name “신천지 scripts=HANGUL”
punycode name “重庆汽配 scripts=CJK”
lure words (login, verify, secure…) “customer”many hyphens “3”random-looking name “H=3.77”
very long name “32”random-looking name “H=4.35”TLD with a high abuse rate “xyz”
very long name “32”random-looking name “H=4.38”TLD with a high abuse rate “xyz”
very long name “32”random-looking name “H=4.35”TLD with a high abuse rate “xyz”
very long name “32”random-looking name “H=4.29”TLD with a high abuse rate “xyz”
very long name “32”random-looking name “H=4.15”TLD with a high abuse rate “xyz”
very long name “32”random-looking name “H=4.25”TLD with a high abuse rate “xyz”
very long name “32”random-looking name “H=4.41”TLD with a high abuse rate “xyz”
very long name “32”random-looking name “H=4.31”TLD with a high abuse rate “xyz”
very long name “32”random-looking name “H=4.33”TLD with a high abuse rate “xyz”
Same data as JSON: /api/zone/risk?day=2026-10-20&tier=low. Screenshots and the model's reasoning are on each domain's evidence page.