Bot traffic: cybersubdivision.com

all sites · all domains · last 15 days

All sites · All Domains · Visit cybersubdivision.com

Who is really visiting cybersubdivision.com?

Between Oct 23 and Nov 6, cybersubdivision.com received 66,087 requests. About 99.4% came from automated software and about 0.2% look like real people.

That works out to about 51 human visitors, roughly 3 a day, who opened 113 pages between them. 32 of them read more than one page.

The biggest source is scanners hunting for security holes. They try the same list of common weak spots on every site they find.

Bottom line: the hit counts on the All Domains worksheet are almost entirely bots. Use the human visitor figure here to judge this site's real audience.

99.4%of requests from bots
51human visitors (estimate)
113pages opened by people
66,087total requests, 15 days

Where the requests came from

People 0.2%Named bots 5.8%Disguised bots 5.4%Scanners 88%Unclear 0.4%

Requests per day

PeopleNamed botsDisguised botsScannersUnclear
02,0004,0006,0008,000Oct 23Oct 25Oct 27Oct 29Oct 31Nov 2Nov 4Nov 6

Human visitors per day

Same days, people only, on their own scale so they are visible.

02468Oct 23Oct 25Oct 27Oct 29Oct 31Nov 2Nov 4Nov 6

The breakdown

SourceRequestsΣ 66,087ShareData sentBlockedby the serverWhat this means
Break-in scanners51,10177%73 MB30,094Probing for WordPress logins, password files and other common weak spots.
Scanners posing as browsers7,16311%31 MB66Other requests from an address also caught probing for weak spots.
Disguised scrapers2,3323.5%16 MB5Claims to be a normal browser but only downloads pages, never the images or icons a real browser fetches, reads many pages without ever clicking a link, or runs from a cloud provider.
AI crawlers1,4792.2%2 MB84AI companies gathering pages or answering a user's question, and saying so.
Search engines1,1421.7%4 MB7Crawlers that say who they are, such as Google, Bing, Apple and Amazon. Usually welcome: this is how people find the site.
Scripts and tools1,1381.7%4 MB20Programs such as curl or Python, or anything with an unrecognizable name.
Other named bots1,0931.7%3 MB15Any other software that identifies itself as a bot.
Unclear2780.4%<1 MB0Browser name, but fetched only an image or data file and no page. Could be either.
SEO and marketing tools1500.2%<1 MB62Commercial tools that sell data about websites.
Likely people1030.2%1 MB0Opened a page and also fetched its images or icons, at a human pace, from a non-cloud address.
Automated browsers650.1%<1 MB2Loads images like a browser, but too fast for a person or with a faked browser name.
Possibly people420.1%<1 MB0Read 1 to 3 pages, arrived from a search engine or social link, no icons fetched. Referrers can be faked, so treat these as maybe.
No name given10.0%<1 MB0Requests that give no software name at all.

Named bots

Botas it names itselfTypeRequests
PetalBotSearch engines420
ClaudeBotAI crawlers418
GooglebotSearch engines320
bingbotSearch engines106
GPTBotAI crawlers99
OAI-SearchBotAI crawlers92
BytespiderAI crawlers81
ApplebotSearch engines80
MoonshotBotOther named bots79
TraceCharterBotOther named bots77
Meta-ExternalAgentAI crawlers74
QwenbotOther named bots73
Perplexity-UserAI crawlers70
BaiduspiderSearch engines68
QlyzeBotOther named bots68

What people opened

Pages opened by at least two different human visitors.

PageHuman visitors
/31
/social/6
/faq/5
/sources/5
/news/4
/rss-api4
/history/4
/about/4
/resources/3

How people arrived

Referring siteHuman visitors
m.baidu.com21
www.reddit.com1
www.google.com1

Where disguised bots operate from

Address blocks, not individual addresses. A heavily used block with many addresses suggests one operator rotating through them.

Address blockRequestsAddresses used
192.42.0.0/1612831
66.249.0.0/16673
183.207.0.0/16672
158.69.0.0/16651
93.123.0.0/16621
45.156.0.0/165939
43.166.0.0/164118
82.38.0.0/16361

Day by day

DayHuman visitorsHuman pagesNamed botsrequestsDisguisedrequestsScannersrequestsUnclearrequestsAllrequestsBot share
Oct 23232661815,797226,27099.6%
Oct 2424981694,179164,46699.6%
Oct 253112351454,858155,26599.5%
Oct 26691021605,890106,17599.6%
Oct 27352082684,851225,35499.5%
Oct 28591521864,285244,65899.2%
Oct 2924912442,443132,79599.4%
Oct 30676181593,002193,80999.2%
Oct 317161321716,35486,68499.6%
Nov 1696231,1163,998275,77799.3%
Nov 2127251794,321185,24699.6%
Nov 38201391253,547223,85899%
Nov 4231131531,594291,89298%
Nov 545281952,215162,61499.1%
Nov 64681185930171,22498%

How this was measured

Every request in the server log was sorted by what it did, not only what it claimed to be. Bots that name themselves are counted as named. Anything claiming to be a browser had to act like one: open a page, fetch its images or icons, move at human speed, and come from outside the big cloud providers. These are estimates. A careful bot can pass the test, and a person with images blocked or a cached icon can fail it, so read the human figures as a good approximation, not an exact count. One person using two devices counts as two visitors. Google Analytics-style tools would show different numbers because most bots never run their script. Logs are kept for 15 days.

Built 2026-11-06 22:43 UTC from 15 log files.