Flagged newborn domains, Friday, October 16, 2026
16,690 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=3.78”TLD with a high abuse rate “cfd”
random-looking name “H=3.88”TLD with a high abuse rate “cfd”
random-looking name “H=3.88”TLD with a high abuse rate “cfd”
random-looking name “H=3.88”TLD with a high abuse rate “cfd”
random-looking name “H=3.70”TLD with a high abuse rate “xyz”
random-looking name “H=3.85”TLD with a high abuse rate “cfd”
random-looking name “H=3.72”TLD with a high abuse rate “cfd”
random-looking name “H=3.88”TLD with a high abuse rate “icu”
random-looking name “H=3.85”TLD with a high abuse rate “cfd”
random-looking name “H=3.64”TLD with a high abuse rate “icu”
random-looking name “H=4.00”TLD with a high abuse rate “cfd”
random-looking name “H=4.06”TLD with a high abuse rate “cfd”
random-looking name “H=3.65”TLD with a high abuse rate “lol”
random-looking name “H=3.77”TLD with a high abuse rate “icu”
random-looking name “H=3.77”TLD with a high abuse rate “icu”
random-looking name “H=3.72”TLD with a high abuse rate “cfd”
random-looking name “H=3.75”free DNS provider “dnsowl.com”
random-looking name “H=3.85”TLD with a high abuse rate “cfd”
random-looking name “H=4.21”TLD with a high abuse rate “cfd”
random-looking name “H=3.66”TLD with a high abuse rate “top”
random-looking name “H=3.88”TLD with a high abuse rate “xyz”
random-looking name “H=3.66”TLD with a high abuse rate “icu”
random-looking name “H=3.91”TLD with a high abuse rate “icu”
random-looking name “H=3.66”TLD with a high abuse rate “icu”
random-looking name “H=3.62”TLD with a high abuse rate “lol”
random-looking name “H=3.85”TLD with a high abuse rate “lol”
random-looking name “H=3.62”TLD with a high abuse rate “lol”
random-looking name “H=3.98”free DNS provider “dnsowl.com”
random-looking name “H=3.64”TLD with a high abuse rate “lol”
random-looking name “H=4.19”TLD with a high abuse rate “icu”
random-looking name “H=3.70”TLD with a high abuse rate “lol”
random-looking name “H=3.64”TLD with a high abuse rate “lol”
random-looking name “H=3.70”TLD with a high abuse rate “lol”
random-looking name “H=3.70”TLD with a high abuse rate “lol”
very long name “32”TLD with a high abuse rate “click”
very long name “33”TLD with a high abuse rate “lol”
lure words (login, verify, secure…) “service,services”
lure words (login, verify, secure…) “alert,alerts”
lure words (login, verify, secure…) “service,services”
lure words (login, verify, secure…) “recover,recovery”
lure words (login, verify, secure…) “service,services”
very long name “29”TLD with a high abuse rate “lol”
lure words (login, verify, secure…) “recover,recovery”
very long name “38”TLD with a high abuse rate “lol”
very long name “28”TLD with a high abuse rate “lol”
very long name “32”TLD with a high abuse rate “lol”
very long name “32”TLD with a high abuse rate “xyz”
very long name “32”TLD with a high abuse rate “lol”
very long name “34”TLD with a high abuse rate “lol”
very long name “32”TLD with a high abuse rate “lol”
Same data as JSON: /api/zone/risk?day=2026-10-16&tier=low. Screenshots and the model's reasoning are on each domain's evidence page.