Bot traffic: muskmile.com

all sites · all domains · last 15 days

All sites · All Domains · Visit muskmile.com

Who is really visiting muskmile.com?

Between Oct 23 and Nov 6, muskmile.com received 10,791 requests. About 97% came from automated software and about 1.6% look like real people.

That works out to about 119 human visitors, roughly 8 a day, who opened 129 pages between them. 5 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.

The busiest day was Oct 26, with 3,222 requests, of which 13 came from people.

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
119human visitors (estimate)
129pages opened by people
10,791total requests, 15 days

Where the requests came from

People 1.6%Named bots 12%Disguised bots 24%Scanners 61%Unclear 1.2%

Requests per day

PeopleNamed botsDisguised botsScannersUnclear
01,0002,0003,0004,000Oct 23Oct 25Oct 27Oct 29Oct 31Nov 2Nov 4Nov 6

Human visitors per day

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

05101520Oct 23Oct 25Oct 27Oct 29Oct 31Nov 2Nov 4Nov 6

The breakdown

SourceRequestsΣ 10,791ShareData sentBlockedby the serverWhat this means
Break-in scanners4,74844%<1 MB17Probing for WordPress logins, password files and other common weak spots.
Scanners posing as browsers1,84017%3 MB15Other requests from an address also caught probing for weak spots.
Disguised scrapers1,39013%12 MB0Claims 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.
Scripts and tools1,23011%<1 MB0Programs such as curl or Python, or anything with an unrecognizable name.
Other named bots4914.6%2 MB3Any other software that identifies itself as a bot.
Search engines3943.7%2 MB0Crawlers that say who they are, such as Google, Bing, Apple and Amazon. Usually welcome: this is how people find the site.
AI crawlers3022.8%1 MB5AI companies gathering pages or answering a user's question, and saying so.
Unclear1291.2%<1 MB0Browser name, but fetched only an image or data file and no page. Could be either.
Possibly people960.9%<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.
SEO and marketing tools870.8%<1 MB53Commercial tools that sell data about websites.
Likely people760.7%1 MB0Opened a page and also fetched its images or icons, at a human pace, from a non-cloud address.
App link sweepers50.0%<1 MB0Touches only login, app or embed links and no actual content.
No name given30.0%<1 MB0Requests that give no software name at all.

Named bots

Botas it names itselfTypeRequests
PetalBotSearch engines176
OAI-SearchBotAI crawlers90
GooglebotSearch engines81
ClaudeBotAI crawlers71
bingbotSearch engines51
leakix.netOther named bots48
SemrushBotSEO and marketing tools40
GPTBotAI crawlers34
Amzn-SearchBotSearch engines29
ElevenlabsCrawlerOther named bots27
Dataprovider.comOther named bots25
ibou-searchOther named bots23
CensysInspectOther named bots23
ApplebotSearch engines19
BarkrowlerSEO and marketing tools19

What people opened

Pages opened by at least two different human visitors.

PageHuman visitors
/112
/faq/2
/news/2026-dark-texas-charles-petrie/2

How people arrived

Referring siteHuman visitors
bastropbeat.com68
m.baidu.com18
www.google.com7

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
192.42.0.0/167218
185.220.0.0/16486
5.102.0.0/16453
158.69.0.0/16361
43.157.0.0/162919
43.130.0.0/162520
43.166.0.0/162414
43.153.0.0/162216

Day by day

DayHuman visitorsHuman pagesNamed botsrequestsDisguisedrequestsScannersrequestsUnclearrequestsAllrequestsBot share
Oct 235918078414869397%
Oct 2415154411240421691%
Oct 25666511283827595%
Oct 26111152753,07843,22299.5%
Oct 271414166127312562896%
Oct 281313801109722090%
Oct 291818691099922085%
Oct 30995597521623188%
Oct 31448280101419091%
Nov 144671132901048597%
Nov 21163112133431498%
Nov 38974111596880098%
Nov 45682133194442197%
Nov 56915283326581,28397%
Nov 611434261,103201,59399%

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 22:42 UTC from 15 log files.