Flagged newborn domains, Thursday, October 8, 2026
10,103 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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lure words (login, verify, secure…) “official”TLD with a high abuse rate “fun”
login form “has_form+login words”
lure words (login, verify, secure…) “wallet”TLD with a high abuse rate “lol”
login form “has_form+login words”
lure words (login, verify, secure…) “reset”TLD with a high abuse rate “xyz”
login form “has_form+login words”
brand in the name “natwest”
login form “has_form+login words”
lure words (login, verify, secure…) “prize”TLD with a high abuse rate “xyz”
lure words (login, verify, secure…) “taxes”TLD with a high abuse rate “xyz”
login form “has_form+login words”
login form “has_form+login words”
login form “has_form+login words”
page pushes urgent payment “limited time offer”
login form “has_form+login words”
lure words (login, verify, secure…) “winner”TLD with a high abuse rate “xyz”
lure words (login, verify, secure…) “winner”TLD with a high abuse rate “win”
lure words (login, verify, secure…) “reset”TLD with a high abuse rate “xyz”
lure words (login, verify, secure…) “secure”TLD with a high abuse rate “xyz”
many hyphens “3”TLD with a high abuse rate “lol”
brand in the name “outlook”
brand in the name “tiktok”
lure words (login, verify, secure…) “service”TLD with a high abuse rate “icu”
many hyphens “3”TLD with a high abuse rate “monster”
many hyphens “3”TLD with a high abuse rate “cfd”
many hyphens “3”TLD with a high abuse rate “cfd”
many hyphens “3”TLD with a high abuse rate “cfd”
many hyphens “3”TLD with a high abuse rate “cfd”
lure words (login, verify, secure…) “win”TLD with a high abuse rate “lol”
login form “has_form+login words”
login form “has_form+login words”
brand in the name “ebay”
many hyphens “3”TLD with a high abuse rate “xyz”
many hyphens “3”TLD with a high abuse rate “top”
lure words (login, verify, secure…) “reset”TLD with a high abuse rate “xyz”
random-looking name “H=3.64”TLD with a high abuse rate “cfd”
random-looking name “H=3.81”TLD with a high abuse rate “top”
random-looking name “H=4.13”TLD with a high abuse rate “lol”
random-looking name “H=3.72”TLD with a high abuse rate “lol”
random-looking name “H=3.62”TLD with a high abuse rate “lol”
random-looking name “H=3.82”TLD with a high abuse rate “lol”
random-looking name “H=3.62”TLD with a high abuse rate “lol”
random-looking name “H=3.62”TLD with a high abuse rate “lol”
random-looking name “H=3.81”TLD with a high abuse rate “top”
random-looking name “H=4.00”TLD with a high abuse rate “cyou”
random-looking name “H=3.64”TLD with a high abuse rate “sbs”
random-looking name “H=3.81”TLD with a high abuse rate “top”
random-looking name “H=3.62”TLD with a high abuse rate “lol”
random-looking name “H=3.62”TLD with a high abuse rate “lol”
random-looking name “H=3.81”TLD with a high abuse rate “top”
Same data as JSON: /api/zone/risk?day=2026-10-08&tier=low. Screenshots and the model's reasoning are on each domain's evidence page.