Flagged newborn domains, Saturday, September 12, 2026
9,643 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 “wegstück scripts=LATIN”
punycode name “wellpressedjūc scripts=LATIN”
punycode name “파워볼 scripts=HANGUL”
punycode name “중식의왕 scripts=HANGUL”
punycode name “铵諫嗄 scripts=CJK”
punycode name “xabierjareñoabogados scripts=LATIN”
punycode name “新东 scripts=CJK”
punycode name “山东漫咖 scripts=CJK”
punycode name “华迪 scripts=CJK”
punycode name “纪华淘 scripts=CJK”
punycode name “介浩淘 scripts=CJK”
punycode name “金猪 scripts=CJK”
punycode name “yawáywinga scripts=LATIN”
punycode name “メンズジャパン scripts=KATAKANA”
punycode name “飘圣 scripts=CJK”
punycode name “yeşilrüyacennetçamuru scripts=LATIN”
punycode name “小敏 scripts=CJK”
punycode name “小碰 scripts=CJK”
punycode name “盘丝洞 scripts=CJK”
punycode name “yohnpcsolucionestecnología scripts=LATIN”
punycode name “ys인테리어 scripts=HANGUL/LATIN”
punycode name “词元电网 scripts=CJK”
punycode name “이한종합건재 scripts=HANGUL”
punycode name “태산건설 scripts=HANGUL”
punycode name “zahnärztin-herford scripts=LATIN”
punycode name “リリタス scripts=KATAKANA”
punycode name “ラボ scripts=KATAKANA”
punycode name “zeıss scripts=LATIN”
punycode name “服务器 scripts=CJK”
punycode name “özilyönetim scripts=LATIN”
punycode name “炒菜 scripts=CJK”
punycode name “捷士通 scripts=CJK”
punycode name “zxc주소 scripts=HANGUL/LATIN”
punycode name “zxc벳 scripts=HANGUL/LATIN”
punycode name “zxc벳주소 scripts=HANGUL/LATIN”
many hyphens “4”very long name “28”TLD with a high abuse rate “rest”
many hyphens “5”very long name “36”TLD with a high abuse rate “rest”
very long name “32”random-looking name “H=3.75”TLD with a high abuse rate “icu”
very long name “38”random-looking name “H=4.42”TLD with a high abuse rate “top”
lure words (login, verify, secure…) “auth”many hyphens “3”random-looking name “H=3.65”
very long name “33”random-looking name “H=4.35”TLD with a high abuse rate “xyz”
lure words (login, verify, secure…) “auth”many hyphens “3”random-looking name “H=3.68”
very long name “28”random-looking name “H=4.18”TLD with a high abuse rate “cfd”
lure words (login, verify, secure…) “portal,update”random-looking name “H=3.84”
very long name “38”random-looking name “H=4.43”TLD with a high abuse rate “top”
very long name “38”random-looking name “H=4.36”TLD with a high abuse rate “top”
very long name “31”random-looking name “H=4.50”TLD with a high abuse rate “xyz”
very long name “28”random-looking name “H=4.07”TLD with a high abuse rate “cyou”
very long name “33”random-looking name “H=4.39”TLD with a high abuse rate “xyz”
TLD with a high abuse rate “sbs”free DNS provider “dnsowl.com”
Same data as JSON: /api/zone/risk?day=2026-09-12&tier=low. Screenshots and the model's reasoning are on each domain's evidence page.