Flagged newborn domains, Wednesday, October 7, 2026
9,487 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=3.62”TLD with a high abuse rate “top”
random-looking name “H=3.64”TLD with a high abuse rate “xyz”
random-looking name “H=3.91”TLD with a high abuse rate “sbs”
random-looking name “H=3.64”TLD with a high abuse rate “top”
random-looking name “H=3.88”TLD with a high abuse rate “top”
random-looking name “H=3.66”TLD with a high abuse rate “top”
random-looking name “H=3.75”TLD with a high abuse rate “top”
random-looking name “H=3.75”TLD with a high abuse rate “lol”
random-looking name “H=3.62”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 “icu”
random-looking name “H=3.88”TLD with a high abuse rate “cfd”
random-looking name “H=4.00”TLD with a high abuse rate “top”
random-looking name “H=3.77”TLD with a high abuse rate “sbs”
random-looking name “H=3.86”TLD with a high abuse rate “cyou”
random-looking name “H=3.62”TLD with a high abuse rate “cfd”
random-looking name “H=3.64”TLD with a high abuse rate “top”
random-looking name “H=4.02”TLD with a high abuse rate “top”
random-looking name “H=3.91”TLD with a high abuse rate “xyz”
random-looking name “H=3.75”TLD with a high abuse rate “top”
random-looking name “H=3.66”TLD with a high abuse rate “top”
random-looking name “H=3.82”TLD with a high abuse rate “xyz”
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 “homes”
random-looking name “H=3.88”TLD with a high abuse rate “xyz”
random-looking name “H=3.88”TLD with a high abuse rate “top”
random-looking name “H=3.75”TLD with a high abuse rate “top”
random-looking name “H=3.72”TLD with a high abuse rate “xyz”
random-looking name “H=3.64”TLD with a high abuse rate “top”
random-looking name “H=3.75”TLD with a high abuse rate “top”
random-looking name “H=3.91”TLD with a high abuse rate “xyz”
random-looking name “H=3.62”TLD with a high abuse rate “icu”
random-looking name “H=3.75”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 “xyz”
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 “xyz”
random-looking name “H=3.75”TLD with a high abuse rate “top”
random-looking name “H=3.62”TLD with a high abuse rate “xyz”
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 “icu”
random-looking name “H=3.68”TLD with a high abuse rate “xyz”
random-looking name “H=3.88”TLD with a high abuse rate “top”
random-looking name “H=3.62”TLD with a high abuse rate “cyou”
random-looking name “H=3.69”TLD with a high abuse rate “cfd”
random-looking name “H=3.94”TLD with a high abuse rate “cfd”
random-looking name “H=3.62”TLD with a high abuse rate “xyz”
very long name “31”TLD with a high abuse rate “xyz”
lure words (login, verify, secure…) “bonus”many hyphens “4”
lure words (login, verify, secure…) “bonus”many hyphens “4”
Same data as JSON: /api/zone/risk?day=2026-10-07&tier=low. Screenshots and the model's reasoning are on each domain's evidence page.