Flagged newborn domains, Wednesday, November 11, 2026
10,091 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.
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punycode name “yapıkredı scripts=LATIN”
punycode name “yeşilbursatekstilsanayi scripts=LATIN”
punycode name “闲小鱼 scripts=CJK”
punycode name “yılcaroto scripts=LATIN”
punycode name “奶蛙 scripts=CJK”
punycode name “ν scripts=GREEK”
punycode name “囧次元 scripts=CJK”
punycode name “囧次元 scripts=CJK”
punycode name “元拓 scripts=CJK”
punycode name “椰浆饭 scripts=CJK”
punycode name “힐튼 scripts=HANGUL”
punycode name “스테이건설 scripts=HANGUL”
punycode name “보건복지상조 scripts=HANGUL”
punycode name “zahnärzte scripts=LATIN”
punycode name “özakltc scripts=LATIN”
punycode name “배관의신 scripts=HANGUL”
punycode name “スマスロ scripts=KATAKANA”
punycode name “神券 scripts=CJK”
punycode name “zeroretencão scripts=LATIN”
punycode name “평생산타 scripts=HANGUL”
punycode name “산타평생 scripts=HANGUL”
punycode name “산타 scripts=HANGUL”
punycode name “산타주소 scripts=HANGUL”
punycode name “ziraatkatılim scripts=LATIN”
punycode name “öznurözgen scripts=LATIN”
punycode name “zıraatbanka scripts=LATIN”
punycode name “최정은 scripts=HANGUL”
punycode name “zöstere scripts=LATIN”
punycode name “重庆 scripts=CJK”
punycode name “重庆 scripts=CJK”
many hyphens “3”very long name “57”TLD with a high abuse rate “click”
lure words (login, verify, secure…) “auth”many hyphens “3”random-looking name “H=3.65”
very long name “32”random-looking name “H=3.68”TLD with a high abuse rate “xyz”
very long name “32”random-looking name “H=3.85”TLD with a high abuse rate “sbs”
very long name “33”random-looking name “H=3.77”TLD with a high abuse rate “sbs”
very long name “61”random-looking name “H=3.61”TLD with a high abuse rate “click”
very long name “29”random-looking name “H=4.35”TLD with a high abuse rate “cfd”
very long name “57”random-looking name “H=3.70”TLD with a high abuse rate “click”
TLD with a high abuse rate “top”free DNS provider “dnsowl.com”
TLD with a high abuse rate “top”free DNS provider “dnsowl.com”
TLD with a high abuse rate “xyz”free DNS provider “dnsowl.com”
TLD with a high abuse rate “top”free DNS provider “dnsowl.com”
TLD with a high abuse rate “xyz”free DNS provider “dnsowl.com”
TLD with a high abuse rate “top”free DNS provider “dnsowl.com”
TLD with a high abuse rate “xyz”free DNS provider “dnsowl.com”
TLD with a high abuse rate “top”free DNS provider “dnsowl.com”
TLD with a high abuse rate “top”free DNS provider “dnsowl.com”
TLD with a high abuse rate “top”free DNS provider “dnsowl.com”
TLD with a high abuse rate “xyz”free DNS provider “dnsowl.com”
TLD with a high abuse rate “xyz”free DNS provider “dnsowl.com”
Same data as JSON: /api/zone/risk?day=2026-11-11&tier=low. Screenshots and the model's reasoning are on each domain's evidence page.