Flagged newborn domains, Thursday, November 12, 2026
11,793 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=3.64”TLD with a high abuse rate “cfd”
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 “cfd”
random-looking name “H=3.64”TLD with a high abuse rate “cfd”
random-looking name “H=3.64”TLD with a high abuse rate “cfd”
random-looking name “H=3.77”TLD with a high abuse rate “top”
random-looking name “H=3.92”TLD with a high abuse rate “top”
random-looking name “H=3.70”TLD with a high abuse rate “xyz”
random-looking name “H=4.01”TLD with a high abuse rate “cfd”
random-looking name “H=3.77”TLD with a high abuse rate “xyz”
random-looking name “H=3.94”TLD with a high abuse rate “cfd”
random-looking name “H=3.72”TLD with a high abuse rate “cyou”
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 “cyou”
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=4.46”TLD with a high abuse rate “xyz”
random-looking name “H=3.64”TLD with a high abuse rate “icu”
random-looking name “H=4.02”TLD with a high abuse rate “cyou”
random-looking name “H=3.65”TLD with a high abuse rate “xyz”
random-looking name “H=3.64”TLD with a high abuse rate “top”
random-looking name “H=3.64”TLD with a high abuse rate “top”
random-looking name “H=3.64”TLD with a high abuse rate “top”
random-looking name “H=3.79”TLD with a high abuse rate “xyz”
random-looking name “H=3.64”TLD with a high abuse rate “top”
random-looking name “H=3.64”TLD with a high abuse rate “icu”
random-looking name “H=3.66”TLD with a high abuse rate “top”
random-looking name “H=3.99”TLD with a high abuse rate “xyz”
random-looking name “H=3.66”TLD with a high abuse rate “xyz”
random-looking name “H=3.88”TLD with a high abuse rate “xyz”
random-looking name “H=3.77”TLD with a high abuse rate “top”
random-looking name “H=3.89”TLD with a high abuse rate “xyz”
random-looking name “H=3.64”TLD with a high abuse rate “top”
random-looking name “H=3.64”TLD with a high abuse rate “cfd”
random-looking name “H=3.64”TLD with a high abuse rate “cfd”
random-looking name “H=3.64”TLD with a high abuse rate “cfd”
random-looking name “H=3.66”TLD with a high abuse rate “cfd”
random-looking name “H=3.66”TLD with a high abuse rate “cfd”
random-looking name “H=3.66”TLD with a high abuse rate “cfd”
random-looking name “H=3.64”TLD with a high abuse rate “buzz”
random-looking name “H=3.77”TLD with a high abuse rate “top”
random-looking name “H=3.84”TLD with a high abuse rate “xyz”
random-looking name “H=3.77”TLD with a high abuse rate “top”
random-looking name “H=3.89”TLD with a high abuse rate “xyz”
random-looking name “H=3.77”TLD with a high abuse rate “top”
random-looking name “H=3.75”TLD with a high abuse rate “xyz”
random-looking name “H=3.64”TLD with a high abuse rate “top”
random-looking name “H=3.66”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 “xyz”
Same data as JSON: /api/zone/risk?day=2026-11-12&tier=low. Screenshots and the model's reasoning are on each domain's evidence page.