Flagged newborn domains, Saturday, October 24, 2026
12,505 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.
punycode name “캠톡홈 scripts=HANGUL”
punycode name “禧岛xiisland scripts=CJK/LATIN”
punycode name “xổsốđắklắk scripts=LATIN”
punycode name “예쁜온빛 scripts=HANGUL”
punycode name “yapısor scripts=LATIN”
punycode name “焗小福 scripts=CJK”
punycode name “右来了 scripts=CJK”
punycode name “纽约 scripts=CJK”
punycode name “yulianasmithacuña scripts=LATIN”
punycode name “聊聊 scripts=CJK”
punycode name “ᰔ scripts=LEPCHA”
punycode name “건설장터 scripts=HANGUL”
punycode name “유니배관 scripts=HANGUL”
punycode name “아산자이 scripts=HANGUL”
punycode name “özg scripts=LATIN”
punycode name “zigzaï scripts=LATIN”
punycode name “ậ scripts=LATIN”
punycode name “明帝 scripts=CJK”
punycode name “柒點 scripts=CJK”
punycode name “zwiebelnsäcke scripts=LATIN”
many hyphens “3”very long name “32”TLD with a high abuse rate “top”
many hyphens “5”very long name “43”TLD with a high abuse rate “top”
very long name “31”random-looking name “H=4.91”TLD with a high abuse rate “xyz”
very long name “32”random-looking name “H=3.64”TLD with a high abuse rate “xyz”
very long name “34”random-looking name “H=4.37”TLD with a high abuse rate “cfd”
very long name “32”random-looking name “H=4.39”TLD with a high abuse rate “xyz”
very long name “32”random-looking name “H=4.27”TLD with a high abuse rate “xyz”
very long name “32”random-looking name “H=4.27”TLD with a high abuse rate “xyz”
very long name “32”random-looking name “H=4.22”TLD with a high abuse rate “xyz”
very long name “32”random-looking name “H=4.23”TLD with a high abuse rate “xyz”
very long name “32”random-looking name “H=4.35”TLD with a high abuse rate “xyz”
very long name “32”random-looking name “H=4.13”TLD with a high abuse rate “xyz”
very long name “32”random-looking name “H=4.30”TLD with a high abuse rate “xyz”
very long name “32”random-looking name “H=4.27”TLD with a high abuse rate “xyz”
very long name “32”random-looking name “H=4.29”TLD with a high abuse rate “xyz”
very long name “32”random-looking name “H=4.41”TLD with a high abuse rate “xyz”
very long name “32”random-looking name “H=4.35”TLD with a high abuse rate “xyz”
very long name “32”random-looking name “H=4.14”TLD with a high abuse rate “xyz”
very long name “32”random-looking name “H=4.23”TLD with a high abuse rate “xyz”
very long name “32”random-looking name “H=4.16”TLD with a high abuse rate “xyz”
very long name “32”random-looking name “H=4.24”TLD with a high abuse rate “xyz”
very long name “32”random-looking name “H=3.93”TLD with a high abuse rate “xyz”
very long name “32”random-looking name “H=4.23”TLD with a high abuse rate “xyz”
very long name “32”random-looking name “H=4.44”TLD with a high abuse rate “xyz”
very long name “32”random-looking name “H=4.48”TLD with a high abuse rate “xyz”
very long name “32”random-looking name “H=4.38”TLD with a high abuse rate “xyz”
very long name “32”random-looking name “H=4.12”TLD with a high abuse rate “xyz”
very long name “32”random-looking name “H=3.98”TLD with a high abuse rate “xyz”
very long name “32”random-looking name “H=4.50”TLD with a high abuse rate “xyz”
very long name “32”random-looking name “H=3.99”TLD with a high abuse rate “xyz”
Same data as JSON: /api/zone/risk?day=2026-10-24&tier=low. Screenshots and the model's reasoning are on each domain's evidence page.