136,413 domains were born on Monday, October 5, 2026
On Monday, October 5, 2026 the census compared 1,062 zone files holding 77,407,934 domains against the day before. 136,413 names were new (0.176% of the universe), 107,196 were gone, net +29,217. Every new name was probed once over HTTP, honouring robots.txt, to see what was behind it. See the newest day.
New domains per day
What was behind the new names
- Active website13,031 9.6%
- Parked or for sale1,459 1.1%
- Registered, no site yet17,165 12.6%
- Nothing there at all30,037 22.0%
- Couldn't tell74,721 54.8%
What the 13,031 live sites are about
Where the new names landed
| TLD | Born | Gone | Flagged /1k |
|---|---|---|---|
| .xyz | 55,933 | 8,254 | 0.6 |
| .top | 13,224 | 13,684 | 4.2 |
| .online | 7,033 | 5,956 | 2.7 |
| .org | 7,014 | 6,734 | 1.3 |
| .shop | 6,077 | 10,625 | 2.8 |
| .site | 3,895 | 11,011 | 3.6 |
| .store | 3,683 | 4,183 | 4.6 |
| .vip | 3,295 | 2,200 | 0.3 |
| .info | 3,001 | 5,911 | 3.0 |
| .cfd | 1,728 | 942 | 9.3 |
| .cyou | 1,482 | 1,317 | 0.7 |
| .pro | 1,447 | 1,361 | 1.4 |
| .click | 1,267 | 2,053 | 11.8 |
| .lol | 1,176 | 640 | 7.7 |
| .sbs | 1,161 | 1,425 | 17.2 |
| .fun | 1,161 | 771 | 10.3 |
| .live | 1,048 | 855 | 5.7 |
| .tech | 1,017 | 486 | 3.9 |
| .space | 990 | 788 | 1.0 |
| .asia | 913 | 3,746 | 4.4 |
| .cloud | 723 | 561 | 4.1 |
| .homes | 636 | 83 | 6.3 |
| .club | 572 | 587 | 1.7 |
| .website | 562 | 554 | 1.8 |
| .baby | 542 | 52 | 1.8 |
Top 25 of 495 TLDs with a birth or death that day. Full table: /api/zone/census/tlds?day=2026-10-05.
Who is parking them
What the live sites are built with
Writing system of the live sites
How old the departed names were
Risk signals
Every one of the 269,245 births was scored on its name, its nameservers and registrar, and the page it served. 6,686 scored at all; 28 critical, 540 high, 1,233 medium, 4,885 low. The top 300 were screenshotted and shown to a model, which called 117 of them phishing, scam or abuse and 157 benign.
TLDs with the most flagged births per 1,000
Signals that fired most
Brands most often echoed in new names
Registrars of flagged names
Nameserver providers of flagged names
Worth a second look
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.
Model opinion: looks like abuse, confidence 72%. An opinion, not a finding.
Model opinion: looks benign, confidence 72%. An opinion, not a finding.
Model opinion: looks benign, confidence 80%. An opinion, not a finding.
Model opinion: looks like abuse, confidence 80%. An opinion, not a finding.
Model opinion: looks like phishing (target: Starlink), confidence 85%. An opinion, not a finding.
Model opinion: looks like abuse (target: Telegram), confidence 86%. An opinion, not a finding.
Model opinion: looks like abuse (target: Telegram), confidence 86%. An opinion, not a finding.
Model opinion: looks benign, confidence 86%. An opinion, not a finding.
Model opinion: looks benign, confidence 80%. An opinion, not a finding.
Model opinion: looks benign, confidence 75%. An opinion, not a finding.
Model opinion: looks like phishing (target: Adobe), confidence 97%. An opinion, not a finding.
Model opinion: looks like abuse, confidence 93%. An opinion, not a finding.
Model opinion: looks benign, confidence 77%. An opinion, not a finding.
Model opinion: looks like abuse, confidence 66%. An opinion, not a finding.
Model opinion: looks like a scam (target: Roblox), confidence 80%. An opinion, not a finding.
About this data
The census diffs the zone files ICANN's Centralized Zone Data Service publishes for about a thousand gTLDs, plus a sample of .com and .net, against the previous day. A birth is a name present today and absent yesterday; a death is the reverse. Births are probed once over HTTP with an identified user agent, robots.txt honoured, and classified by what came back. Subjects are assigned by a language model reading the page text. The risk scorer is deterministic and additive; its weights and word lists are public in the API's reasons field.
Aggregates and named rows are free as JSON: API docs. Per-domain answers are also on every domain report. Names in .com and .net are counted in every aggregate but not listed by name until the redistribution terms of that zone's access agreement are confirmed.