Flagged newborn domains, Thursday, October 1, 2026
10,743 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.
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lure words (login, verify, secure…) “prize”TLD with a high abuse rate “xyz”
lure words (login, verify, secure…) “prize”free DNS provider “dnsowl.com”
lure words (login, verify, secure…) “portal”TLD with a high abuse rate “xyz”
login form “has_form+login words”
lure words (login, verify, secure…) “winner”TLD with a high abuse rate “top”
lure words (login, verify, secure…) “verify”TLD with a high abuse rate “top”
many hyphens “3”TLD with a high abuse rate “fun”
many hyphens “3”TLD with a high abuse rate “rest”
login form “has_form+login words”
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 “icu”
random-looking name “H=3.85”TLD with a high abuse rate “top”
random-looking name “H=3.64”TLD with a high abuse rate “top”
random-looking name “H=3.66”TLD with a high abuse rate “top”
random-looking name “H=3.77”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 “icu”
random-looking name “H=3.84”TLD with a high abuse rate “cyou”
random-looking name “H=3.66”TLD with a high abuse rate “top”
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=3.81”TLD with a high abuse rate “cyou”
random-looking name “H=3.70”TLD with a high abuse rate “lol”
random-looking name “H=3.62”TLD with a high abuse rate “cfd”
random-looking name “H=3.78”TLD with a high abuse rate “lol”
random-looking name “H=4.02”TLD with a high abuse rate “top”
random-looking name “H=3.81”TLD with a high abuse rate “cyou”
random-looking name “H=3.68”TLD with a high abuse rate “click”
random-looking name “H=3.64”TLD with a high abuse rate “cfd”
random-looking name “H=3.91”TLD with a high abuse rate “cfd”
random-looking name “H=3.81”TLD with a high abuse rate “cyou”
random-looking name “H=3.64”TLD with a high abuse rate “icu”
random-looking name “H=3.65”TLD with a high abuse rate “top”
random-looking name “H=3.64”TLD with a high abuse rate “icu”
random-looking name “H=3.81”TLD with a high abuse rate “cyou”
random-looking name “H=3.64”TLD with a high abuse rate “icu”
random-looking name “H=3.70”TLD with a high abuse rate “top”
random-looking name “H=3.62”TLD with a high abuse rate “lol”
random-looking name “H=3.64”TLD with a high abuse rate “icu”
random-looking name “H=3.81”TLD with a high abuse rate “cyou”
random-looking name “H=3.65”TLD with a high abuse rate “top”
random-looking name “H=3.82”TLD with a high abuse rate “top”
random-looking name “H=3.81”TLD with a high abuse rate “cyou”
random-looking name “H=3.64”TLD with a high abuse rate “xyz”
random-looking name “H=3.70”TLD with a high abuse rate “xyz”
random-looking name “H=3.81”TLD with a high abuse rate “icu”
random-looking name “H=3.81”TLD with a high abuse rate “cyou”
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=3.65”TLD with a high abuse rate “top”
Same data as JSON: /api/zone/risk?day=2026-10-01&tier=low. Screenshots and the model's reasoning are on each domain's evidence page.