Flagged newborn domains, Tuesday, September 1, 2026
12,278 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.
random-looking name “H=3.88”TLD with a high abuse rate “icu”
random-looking name “H=3.66”TLD with a high abuse rate “icu”
random-looking name “H=4.00”TLD with a high abuse rate “cyou”
random-looking name “H=3.97”TLD with a high abuse rate “lol”
random-looking name “H=4.00”TLD with a high abuse rate “cyou”
random-looking name “H=4.18”TLD with a high abuse rate “lol”
random-looking name “H=4.18”TLD with a high abuse rate “cfd”
random-looking name “H=4.17”TLD with a high abuse rate “cyou”
random-looking name “H=4.00”TLD with a high abuse rate “cyou”
random-looking name “H=4.00”TLD with a high abuse rate “cyou”
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 “icu”
random-looking name “H=3.91”TLD with a high abuse rate “top”
random-looking name “H=3.66”TLD with a high abuse rate “xyz”
random-looking name “H=3.72”free DNS provider “dnsowl.com”
random-looking name “H=3.61”TLD with a high abuse rate “click”
random-looking name “H=3.91”TLD with a high abuse rate “lol”
random-looking name “H=3.62”TLD with a high abuse rate “icu”
random-looking name “H=3.84”TLD with a high abuse rate “xyz”
random-looking name “H=3.61”TLD with a high abuse rate “xyz”
random-looking name “H=3.84”TLD with a high abuse rate “xyz”
random-looking name “H=3.91”TLD with a high abuse rate “icu”
random-looking name “H=4.00”TLD with a high abuse rate “cyou”
random-looking name “H=4.00”TLD with a high abuse rate “cyou”
random-looking name “H=3.66”TLD with a high abuse rate “xyz”
random-looking name “H=3.64”TLD with a high abuse rate “icu”
random-looking name “H=3.62”TLD with a high abuse rate “xyz”
random-looking name “H=4.00”TLD with a high abuse rate “cyou”
random-looking name “H=3.77”TLD with a high abuse rate “icu”
random-looking name “H=3.91”TLD with a high abuse rate “xyz”
random-looking name “H=3.81”TLD with a high abuse rate “cyou”
random-looking name “H=3.88”TLD with a high abuse rate “cfd”
random-looking name “H=3.95”TLD with a high abuse rate “icu”
random-looking name “H=3.97”TLD with a high abuse rate “lol”
random-looking name “H=3.77”TLD with a high abuse rate “xyz”
random-looking name “H=3.77”TLD with a high abuse rate “click”
random-looking name “H=3.81”TLD with a high abuse rate “cyou”
random-looking name “H=3.81”TLD with a high abuse rate “cyou”
random-looking name “H=4.00”TLD with a high abuse rate “cyou”
lure words (login, verify, secure…) “service,services”
lure words (login, verify, secure…) “customer,customers”
very long name “38”TLD with a high abuse rate “icu”
lure words (login, verify, secure…) “service,services”
lure words (login, verify, secure…) “service,services”
very long name “43”TLD with a high abuse rate “cfd”
very long name “32”TLD with a high abuse rate “stream”
very long name “32”TLD with a high abuse rate “icu”
lure words (login, verify, secure…) “reward,rewards”
lure words (login, verify, secure…) “service,services”
lure words (login, verify, secure…) “service,services”
Same data as JSON: /api/zone/risk?day=2026-09-01&tier=low. Screenshots and the model's reasoning are on each domain's evidence page.