Flagged newborn domains, Saturday, September 26, 2026
9,661 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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login form “has_form+login words”
many hyphens “3”TLD with a high abuse rate “sbs”
lure words (login, verify, secure…) “unlock”TLD with a high abuse rate “xyz”
many hyphens “3”TLD with a high abuse rate “top”
lure words (login, verify, secure…) “verified”TLD with a high abuse rate “xyz”
lure words (login, verify, secure…) “login”TLD with a high abuse rate “click”
login form “has_form+login words”
login form “has_form+login words”
many hyphens “3”TLD with a high abuse rate “fun”
lure words (login, verify, secure…) “account”TLD with a high abuse rate “xyz”
TLD with a high abuse rate “sbs”form submits over plain HTTP “https://zety-tunnel.sbs:8443/login”
brand in the name “hulu”
login form “has_form+login words”
login form “has_form+login words”
random-looking name “H=3.62”TLD with a high abuse rate “top”
random-looking name “H=3.77”TLD with a high abuse rate “top”
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 “top”
random-looking name “H=3.66”TLD with a high abuse rate “cfd”
random-looking name “H=3.77”TLD with a high abuse rate “top”
random-looking name “H=3.64”TLD with a high abuse rate “top”
random-looking name “H=3.73”TLD with a high abuse rate “cfd”
random-looking name “H=3.61”TLD with a high abuse rate “cfd”
random-looking name “H=3.64”TLD with a high abuse rate “top”
random-looking name “H=3.91”TLD with a high abuse rate “icu”
random-looking name “H=3.88”TLD with a high abuse rate “top”
random-looking name “H=3.92”TLD with a high abuse rate “cyou”
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 “top”
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 “top”
random-looking name “H=3.64”TLD with a high abuse rate “top”
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=3.88”TLD with a high abuse rate “icu”
random-looking name “H=3.64”TLD with a high abuse rate “top”
random-looking name “H=4.04”TLD with a high abuse rate “cfd”
random-looking name “H=3.72”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=3.77”TLD with a high abuse rate “top”
random-looking name “H=3.64”TLD with a high abuse rate “top”
random-looking name “H=3.73”free DNS provider “dnsowl.com”
random-looking name “H=3.62”TLD with a high abuse rate “cyou”
random-looking name “H=4.22”TLD with a high abuse rate “top”
random-looking name “H=3.64”TLD with a high abuse rate “top”
random-looking name “H=3.88”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=3.66”TLD with a high abuse rate “top”
Same data as JSON: /api/zone/risk?day=2026-09-26&tier=low. Screenshots and the model's reasoning are on each domain's evidence page.