Flagged newborn domains, Friday, November 6, 2026
12,218 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 “lol”
random-looking name “H=3.75”TLD with a high abuse rate “lol”
random-looking name “H=3.68”TLD with a high abuse rate “xyz”
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 “xyz”
random-looking name “H=3.66”TLD with a high abuse rate “cfd”
random-looking name “H=3.61”TLD with a high abuse rate “lol”
random-looking name “H=3.62”TLD with a high abuse rate “lol”
random-looking name “H=3.69”TLD with a high abuse rate “lol”
random-looking name “H=3.80”TLD with a high abuse rate “lol”
random-looking name “H=3.68”TLD with a high abuse rate “lol”
random-looking name “H=3.72”TLD with a high abuse rate “lol”
random-looking name “H=3.72”TLD with a high abuse rate “lol”
random-looking name “H=3.82”TLD with a high abuse rate “lol”
random-looking name “H=3.78”TLD with a high abuse rate “lol”
random-looking name “H=3.75”TLD with a high abuse rate “cfd”
random-looking name “H=3.75”TLD with a high abuse rate “lol”
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 “icu”
random-looking name “H=4.31”TLD with a high abuse rate “cyou”
random-looking name “H=3.64”TLD with a high abuse rate “top”
random-looking name “H=3.64”TLD with a high abuse rate “icu”
random-looking name “H=3.62”TLD with a high abuse rate “xyz”
random-looking name “H=4.02”free DNS provider “dnsowl.com”
random-looking name “H=4.00”TLD with a high abuse rate “xyz”
random-looking name “H=3.62”TLD with a high abuse rate “cyou”
random-looking name “H=3.85”TLD with a high abuse rate “icu”
random-looking name “H=3.85”TLD with a high abuse rate “lol”
random-looking name “H=3.73”TLD with a high abuse rate “click”
random-looking name “H=3.79”TLD with a high abuse rate “cfd”
random-looking name “H=3.64”TLD with a high abuse rate “lol”
random-looking name “H=4.00”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 “xyz”
random-looking name “H=3.70”TLD with a high abuse rate “cfd”
random-looking name “H=3.84”TLD with a high abuse rate “xyz”
random-looking name “H=3.73”TLD with a high abuse rate “xyz”
random-looking name “H=3.62”TLD with a high abuse rate “xyz”
random-looking name “H=3.73”TLD with a high abuse rate “xyz”
random-looking name “H=3.68”TLD with a high abuse rate “xyz”
random-looking name “H=3.73”TLD with a high abuse rate “xyz”
random-looking name “H=3.78”TLD with a high abuse rate “xyz”
random-looking name “H=3.88”TLD with a high abuse rate “xyz”
random-looking name “H=3.88”TLD with a high abuse rate “xyz”
random-looking name “H=3.88”TLD with a high abuse rate “xyz”
random-looking name “H=3.88”TLD with a high abuse rate “xyz”
random-looking name “H=3.78”TLD with a high abuse rate “xyz”
random-looking name “H=3.88”TLD with a high abuse rate “xyz”
random-looking name “H=3.68”TLD with a high abuse rate “xyz”
random-looking name “H=3.65”TLD with a high abuse rate “xyz”
Same data as JSON: /api/zone/risk?day=2026-11-06&tier=low. Screenshots and the model's reasoning are on each domain's evidence page.