Flagged newborn domains, Thursday, September 3, 2026
12,129 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=3.70”TLD with a high abuse rate “xyz”
random-looking name “H=3.77”TLD with a high abuse rate “icu”
random-looking name “H=3.70”TLD with a high abuse rate “xyz”
random-looking name “H=3.64”TLD with a high abuse rate “sbs”
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=3.66”TLD with a high abuse rate “xyz”
random-looking name “H=3.66”TLD with a high abuse rate “xyz”
random-looking name “H=3.66”TLD with a high abuse rate “xyz”
random-looking name “H=3.66”TLD with a high abuse rate “xyz”
random-looking name “H=3.66”TLD with a high abuse rate “xyz”
random-looking name “H=3.70”TLD with a high abuse rate “xyz”
random-looking name “H=3.66”TLD with a high abuse rate “xyz”
random-looking name “H=3.72”TLD with a high abuse rate “xyz”
random-looking name “H=3.83”TLD with a high abuse rate “xyz”
random-looking name “H=3.83”TLD with a high abuse rate “xyz”
random-looking name “H=3.83”TLD with a high abuse rate “xyz”
random-looking name “H=3.83”TLD with a high abuse rate “xyz”
random-looking name “H=3.83”TLD with a high abuse rate “xyz”
random-looking name “H=3.83”TLD with a high abuse rate “xyz”
random-looking name “H=3.66”TLD with a high abuse rate “xyz”
random-looking name “H=3.66”TLD with a high abuse rate “xyz”
random-looking name “H=3.66”TLD with a high abuse rate “xyz”
random-looking name “H=3.70”TLD with a high abuse rate “xyz”
random-looking name “H=3.66”TLD with a high abuse rate “xyz”
random-looking name “H=3.70”TLD with a high abuse rate “xyz”
random-looking name “H=3.66”TLD with a high abuse rate “xyz”
random-looking name “H=3.81”TLD with a high abuse rate “xyz”
random-looking name “H=3.66”TLD with a high abuse rate “xyz”
random-looking name “H=3.64”TLD with a high abuse rate “icu”
random-looking name “H=3.66”TLD with a high abuse rate “xyz”
random-looking name “H=3.66”TLD with a high abuse rate “xyz”
random-looking name “H=3.66”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=3.66”TLD with a high abuse rate “xyz”
random-looking name “H=3.66”TLD with a high abuse rate “xyz”
random-looking name “H=3.70”TLD with a high abuse rate “xyz”
random-looking name “H=3.66”TLD with a high abuse rate “xyz”
random-looking name “H=3.77”TLD with a high abuse rate “icu”
random-looking name “H=3.66”TLD with a high abuse rate “xyz”
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=3.66”TLD with a high abuse rate “xyz”
random-looking name “H=3.66”TLD with a high abuse rate “xyz”
random-looking name “H=3.66”TLD with a high abuse rate “xyz”
random-looking name “H=3.77”TLD with a high abuse rate “icu”
random-looking name “H=3.66”TLD with a high abuse rate “xyz”
random-looking name “H=3.81”TLD with a high abuse rate “xyz”
random-looking name “H=3.64”TLD with a high abuse rate “icu”
Same data as JSON: /api/zone/risk?day=2026-09-03&tier=low. Screenshots and the model's reasoning are on each domain's evidence page.