Flagged newborn domains, Sunday, October 4, 2026
7,244 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…) “update”TLD with a high abuse rate “xyz”
lure words (login, verify, secure…) “winner”TLD with a high abuse rate “xyz”
lure words (login, verify, secure…) “official”TLD with a high abuse rate “xyz”
many hyphens “3”TLD with a high abuse rate “sbs”
many hyphens “3”TLD with a high abuse rate “sbs”
many hyphens “3”TLD with a high abuse rate “sbs”
many hyphens “3”TLD with a high abuse rate “sbs”
many hyphens “3”TLD with a high abuse rate “sbs”
many hyphens “3”TLD with a high abuse rate “homes”
random-looking name “H=3.66”TLD with a high abuse rate “top”
random-looking name “H=3.85”TLD with a high abuse rate “click”
random-looking name “H=3.95”TLD with a high abuse rate “cfd”
random-looking name “H=3.92”TLD with a high abuse rate “cfd”
random-looking name “H=3.77”TLD with a high abuse rate “top”
random-looking name “H=3.66”TLD with a high abuse rate “lol”
random-looking name “H=3.88”TLD with a high abuse rate “lol”
random-looking name “H=3.75”TLD with a high abuse rate “cfd”
random-looking name “H=3.64”TLD with a high abuse rate “xyz”
random-looking name “H=3.77”TLD with a high abuse rate “top”
random-looking name “H=3.77”TLD with a high abuse rate “top”
random-looking name “H=3.64”TLD with a high abuse rate “top”
random-looking name “H=3.64”TLD with a high abuse rate “top”
random-looking name “H=3.66”TLD with a high abuse rate “top”
random-looking name “H=3.84”TLD with a high abuse rate “click”
random-looking name “H=3.64”TLD with a high abuse rate “top”
random-looking name “H=3.77”TLD with a high abuse rate “top”
random-looking name “H=3.77”TLD with a high abuse rate “top”
random-looking name “H=3.64”TLD with a high abuse rate “top”
random-looking name “H=3.64”TLD with a high abuse rate “click”
random-looking name “H=3.75”TLD with a high abuse rate “click”
random-looking name “H=3.64”TLD with a high abuse rate “top”
random-looking name “H=3.62”TLD with a high abuse rate “lol”
random-looking name “H=3.77”TLD with a high abuse rate “top”
random-looking name “H=3.66”TLD with a high abuse rate “top”
random-looking name “H=3.66”TLD with a high abuse rate “top”
random-looking name “H=3.79”TLD with a high abuse rate “cyou”
random-looking name “H=3.92”TLD with a high abuse rate “lol”
random-looking name “H=3.77”TLD with a high abuse rate “top”
random-looking name “H=3.64”TLD with a high abuse rate “top”
random-looking name “H=3.64”TLD with a high abuse rate “top”
random-looking name “H=3.64”TLD with a high abuse rate “top”
random-looking name “H=3.64”TLD with a high abuse rate “top”
random-looking name “H=3.91”TLD with a high abuse rate “top”
random-looking name “H=3.64”TLD with a high abuse rate “top”
random-looking name “H=3.77”TLD with a high abuse rate “top”
random-looking name “H=3.91”TLD with a high abuse rate “top”
random-looking name “H=3.64”TLD with a high abuse rate “cfd”
random-looking name “H=3.62”TLD with a high abuse rate “lol”
random-looking name “H=3.66”TLD with a high abuse rate “top”
random-looking name “H=3.62”TLD with a high abuse rate “lol”
Same data as JSON: /api/zone/risk?day=2026-10-04&tier=low. Screenshots and the model's reasoning are on each domain's evidence page.