Bot traffic: cheerleader96.com

all sites · all domains · last 15 days

All sites · All Domains · Visit cheerleader96.com

Who is really visiting cheerleader96.com?

Between Oct 23 and Nov 6, cheerleader96.com received 5,771 requests. About 97% came from automated software and about 1.1% look like real people.

That works out to about 30 human visitors, roughly 2 a day, who opened 34 pages between them. 4 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.

97%of requests from bots
30human visitors (estimate)
34pages opened by people
5,771total requests, 15 days

Where the requests came from

People 1.1%Named bots 15%Disguised bots 16%Scanners 66%Unclear 1.5%

Requests per day

PeopleNamed botsDisguised botsScannersUnclear
0200400600800Oct 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 5,771ShareData sentBlockedby the serverWhat this means
Break-in scanners2,43242%<1 MB0Probing for WordPress logins, password files and other common weak spots.
Scanners posing as browsers1,39824%1 MB4Other requests from an address also caught probing for weak spots.
Disguised scrapers82614%5 MB1Claims 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 crawlers3676.4%<1 MB0AI companies gathering pages or answering a user's question, and saying so.
Other named bots2574.5%<1 MB2Any other software that identifies itself as a bot.
Search engines2344.1%<1 MB0Crawlers that say who they are, such as Google, Bing, Apple and Amazon. Usually welcome: this is how people find the site.
Unclear871.5%<1 MB0Browser name, but fetched only an image or data file and no page. Could be either.
Scripts and tools831.4%<1 MB0Programs such as curl or Python, or anything with an unrecognizable name.
Likely people611.1%<1 MB0Opened a page and also fetched its images or icons, at a human pace, from a non-cloud address.
SEO and marketing tools170.3%<1 MB7Commercial tools that sell data about websites.
No name given50.1%<1 MB0Requests that give no software name at all.
Possibly people40.1%<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.

Named bots

Botas it names itselfTypeRequests
ClaudeBotAI crawlers270
PetalBotSearch engines82
OAI-SearchBotAI crawlers48
leakix.netOther named bots48
GooglebotSearch engines48
DuckDuckBotSearch engines47
bingbotSearch engines43
User-Agent:MozillaOther named bots26
GPTBotAI crawlers25
CensysInspectOther named bots21
RiverBotOther named bots18
DomainIntelligenceOther named bots10
ibou-searchOther named bots8
SEOJuice-SearchBotOther named bots8
MozillaOther named bots8

What people opened

Pages opened by at least two different human visitors.

PageHuman visitors
/29

How people arrived

Referring siteHuman visitors
www.google.com2
m.baidu.com1
duckduckgo.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
192.42.0.0/163713
43.130.0.0/162216
223.106.0.0/162020
43.166.0.0/161812
43.153.0.0/161611
185.220.0.0/16167
170.106.0.0/161413
112.45.0.0/161414

Day by day

DayHuman visitorsHuman pagesNamed botsrequestsDisguisedrequestsScannersrequestsUnclearrequestsAllrequestsBot share
Oct 23127749102423697%
Oct 24331962469455998%
Oct 25113943130521997%
Oct 26556361646878798%
Oct 27006066522565399.2%
Oct 28226475291318591%
Oct 290011267138131899.7%
Oct 30225856540366199%
Oct 31114057139324198%
Nov 1337447136326697%
Nov 266561602961653995%
Nov 3236951369550297%
Nov 422584497821095%
Nov 5335547159527296%
Nov 611312958412396%

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 22:41 UTC from 15 log files.