Flagged newborn domains, Wednesday, September 9, 2026
9,947 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 “voilàelle scripts=LATIN”
punycode name “voilhandbagsaïndsuitcases scripts=LATIN”
punycode name “vördag scripts=LATIN”
punycode name “vörparts scripts=LATIN”
punycode name “养殖供销链 scripts=CJK”
punycode name “삼성케이뷰티 scripts=HANGUL”
punycode name “케이뷰티삼성 scripts=HANGUL”
punycode name “移远通信 scripts=CJK”
punycode name “回响 scripts=CJK”
punycode name “凯祥生物 scripts=CJK”
punycode name “难遇 scripts=CJK”
punycode name “weg-klosterjägerhof scripts=LATIN”
punycode name “오늘뭐회 scripts=HANGUL”
punycode name “乡村网 scripts=CJK”
punycode name “wmserviçocomercioselocações scripts=LATI”
punycode name “wındows scripts=LATIN”
punycode name “我要看 scripts=CJK”
punycode name “wooléa scripts=LATIN”
punycode name “ǒ scripts=LATIN”
punycode name “华宇恒通 scripts=CJK”
punycode name “振华航科 scripts=CJK”
punycode name “华贝尔家居 scripts=CJK”
punycode name “โอเอ็ม scripts=THAI”
punycode name “yaré scripts=LATIN”
punycode name “秋金小炒 scripts=CJK”
punycode name “社小智 scripts=CJK”
punycode name “롱숏랩 scripts=HANGUL”
punycode name “yükmarket scripts=LATIN”
punycode name “웨이브온yy77 scripts=HANGUL/LATIN”
punycode name “yyimühendislik scripts=LATIN”
punycode name “顺达 scripts=CJK”
punycode name “건축사순 scripts=HANGUL”
punycode name “슬롯달건 scripts=HANGUL”
punycode name “üzeyirinşaat scripts=LATIN”
punycode name “설악산 scripts=HANGUL”
punycode name “德勤财务 scripts=CJK”
punycode name “zürizimmer scripts=LATIN”
punycode name “주소꾼 scripts=HANGUL”
punycode name “zweiradtechnikmüllerjörg scripts=LATIN”
punycode name “遛娃 scripts=CJK”
many hyphens “6”very long name “34”TLD with a high abuse rate “top”
many hyphens “5”very long name “42”TLD with a high abuse rate “top”
many hyphens “6”very long name “42”TLD with a high abuse rate “top”
lure words (login, verify, secure…) “customer,customers,service”
very long name “32”random-looking name “H=3.73”TLD with a high abuse rate “icu”
very long name “63”random-looking name “H=3.89”TLD with a high abuse rate “click”
very long name “38”random-looking name “H=4.68”TLD with a high abuse rate “top”
lure words (login, verify, secure…) “service,services”random-looking name “H=3.60”
TLD with a high abuse rate “bid”free DNS provider “dnsowl.com”
TLD with a high abuse rate “top”free DNS provider “dnsowl.com”
Same data as JSON: /api/zone/risk?day=2026-09-09&tier=low. Screenshots and the model's reasoning are on each domain's evidence page.