Flagged newborn domains, Sunday, September 20, 2026
6,853 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…) “track”TLD with a high abuse rate “top”
random-looking name “H=3.64”TLD with a high abuse rate “icu”
random-looking name “H=3.68”TLD with a high abuse rate “icu”
random-looking name “H=3.64”TLD with a high abuse rate “icu”
random-looking name “H=3.64”TLD with a high abuse rate “top”
random-looking name “H=3.72”TLD with a high abuse rate “cfd”
random-looking name “H=3.64”TLD with a high abuse rate “icu”
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=3.66”TLD with a high abuse rate “top”
random-looking name “H=3.66”TLD with a high abuse rate “top”
random-looking name “H=3.66”TLD with a high abuse rate “top”
random-looking name “H=3.70”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=3.77”TLD with a high abuse rate “top”
random-looking name “H=3.77”TLD with a high abuse rate “top”
random-looking name “H=3.77”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=3.77”TLD with a high abuse rate “top”
random-looking name “H=3.64”TLD with a high abuse rate “top”
random-looking name “H=3.72”TLD with a high abuse rate “top”
random-looking name “H=3.77”TLD with a high abuse rate “icu”
random-looking name “H=3.64”TLD with a high abuse rate “sbs”
random-looking name “H=3.64”TLD with a high abuse rate “icu”
random-looking name “H=3.77”TLD with a high abuse rate “sbs”
random-looking name “H=3.66”TLD with a high abuse rate “top”
random-looking name “H=3.73”TLD with a high abuse rate “icu”
random-looking name “H=3.91”TLD with a high abuse rate “icu”
random-looking name “H=3.77”TLD with a high abuse rate “icu”
random-looking name “H=4.04”TLD with a high abuse rate “top”
random-looking name “H=4.10”TLD with a high abuse rate “icu”
random-looking name “H=3.64”TLD with a high abuse rate “icu”
random-looking name “H=3.66”free DNS provider “dnsowl.com”
random-looking name “H=3.75”TLD with a high abuse rate “icu”
random-looking name “H=3.70”TLD with a high abuse rate “cfd”
random-looking name “H=3.64”TLD with a high abuse rate “sbs”
random-looking name “H=3.79”TLD with a high abuse rate “top”
random-looking name “H=3.77”TLD with a high abuse rate “sbs”
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 “icu”
random-looking name “H=3.70”TLD with a high abuse rate “buzz”
random-looking name “H=3.64”TLD with a high abuse rate “top”
lure words (login, verify, secure…) “service,services”
lure words (login, verify, secure…) “service,services”
lure words (login, verify, secure…) “service,services”
very long name “30”TLD with a high abuse rate “cfd”
lure words (login, verify, secure…) “service,services”
lure words (login, verify, secure…) “service,services”
Same data as JSON: /api/zone/risk?day=2026-09-20&tier=low. Screenshots and the model's reasoning are on each domain's evidence page.