Flagged newborn domains, Thursday, October 15, 2026
10,773 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 “圣翔 scripts=CJK”
punycode name “小桦 scripts=CJK”
punycode name “加工 scripts=CJK”
punycode name “水暖 scripts=CJK”
punycode name “男装 scripts=CJK”
punycode name “yêu scripts=LATIN”
punycode name “yucatán scripts=LATIN”
punycode name “奶龙编程 scripts=CJK”
punycode name “奶龙 scripts=CJK”
punycode name “奶龙 scripts=CJK”
punycode name “奶龙 scripts=CJK”
punycode name “奶蛙 scripts=CJK”
punycode name “奶龙师范 scripts=CJK”
punycode name “奶龙研究院 scripts=CJK”
punycode name “野生狗奶 scripts=CJK”
punycode name “奶龙奶蛙 scripts=CJK”
punycode name “奶龙职院 scripts=CJK”
punycode name “奶娃 scripts=CJK”
punycode name “泰山奶龙学院 scripts=CJK”
punycode name “奶龙邮电学院 scripts=CJK”
punycode name “奶蛙学院 scripts=CJK”
punycode name “福建奶龙学院 scripts=CJK”
punycode name “奶龙小学 scripts=CJK”
punycode name “奶龙艺术学院 scripts=CJK”
punycode name “福元 scripts=CJK”
punycode name “禄冉 scripts=CJK”
punycode name “自由猫 scripts=CJK”
punycode name “zakazanemyšlenky scripts=LATIN”
punycode name “zakazanemyšlenky scripts=LATIN”
punycode name “zéca scripts=LATIN”
punycode name “服务 scripts=CJK”
punycode name “özköseotomotivhasar scripts=LATIN”
punycode name “zöldsziget scripts=LATIN”
punycode name “özmir scripts=LATIN”
punycode name “标杆 scripts=CJK”
many hyphens “4”very long name “57”TLD with a high abuse rate “click”
many hyphens “3”very long name “57”TLD with a high abuse rate “click”
very long name “29”random-looking name “H=4.21”TLD with a high abuse rate “sbs”
lure words (login, verify, secure…) “payment,payments”random-looking name “H=3.70”
very long name “44”random-looking name “H=4.71”TLD with a high abuse rate “fun”
very long name “35”random-looking name “H=4.06”TLD with a high abuse rate “click”
very long name “57”random-looking name “H=3.83”TLD with a high abuse rate “click”
very long name “35”random-looking name “H=4.31”TLD with a high abuse rate “cyou”
very long name “44”random-looking name “H=4.56”TLD with a high abuse rate “fun”
lure words (login, verify, secure…) “track,tracking”random-looking name “H=3.95”
very long name “32”random-looking name “H=3.90”TLD with a high abuse rate “cyou”
very long name “44”random-looking name “H=4.35”TLD with a high abuse rate “fun”
very long name “57”random-looking name “H=3.89”TLD with a high abuse rate “click”
very long name “44”random-looking name “H=4.42”TLD with a high abuse rate “fun”
very long name “57”random-looking name “H=3.71”TLD with a high abuse rate “click”
Same data as JSON: /api/zone/risk?day=2026-10-15&tier=low. Screenshots and the model's reasoning are on each domain's evidence page.