Bot traffic: far-uvclight.com

all sites · all domains · last 15 days

All sites · All Domains · Visit far-uvclight.com

Who is really visiting far-uvclight.com?

Between Oct 23 and Nov 6, far-uvclight.com received 18,744 requests. About 98% came from automated software and about 1.2% look like real people.

That works out to about 76 human visitors, roughly 5 a day, who opened 140 pages between them. 31 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 3,381 requests, of which 18 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.

98%of requests from bots
76human visitors (estimate)
140pages opened by people
18,744total requests, 15 days

Where the requests came from

People 1.2%Named bots 12%Disguised bots 14%Scanners 72%Unclear 0.7%

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.

036912Oct 23Oct 25Oct 27Oct 29Oct 31Nov 2Nov 4Nov 6

The breakdown

SourceRequestsΣ 18,744ShareData sentBlockedby the serverWhat this means
Break-in scanners10,27955%1 MB2,740Probing for WordPress logins, password files and other common weak spots.
Scanners posing as browsers3,21417%5 MB11Other requests from an address also caught probing for weak spots.
Disguised scrapers1,6548.8%12 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.
Scripts and tools9845.2%<1 MB2Programs such as curl or Python, or anything with an unrecognizable name.
Other named bots9264.9%4 MB5Any other software that identifies itself as a bot.
Search engines6983.7%4 MB0Crawlers that say who they are, such as Google, Bing, Apple and Amazon. Usually welcome: this is how people find the site.
AI crawlers4222.3%<1 MB10AI companies gathering pages or answering a user's question, and saying so.
SEO and marketing tools2051.1%<1 MB139Commercial tools that sell data about websites.
Likely people1821.0%<1 MB0Opened a page and also fetched its images or icons, at a human pace, from a non-cloud address.
Unclear1320.7%<1 MB0Browser name, but fetched only an image or data file and no page. Could be either.
Possibly people450.2%<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 given30.0%<1 MB0Requests that give no software name at all.

Named bots

Botas it names itselfTypeRequests
NebulaCVEOther named bots296
PetalBotSearch engines240
GooglebotSearch engines140
OAI-SearchBotAI crawlers113
bingbotSearch engines111
ClaudeBotAI crawlers103
AwarioBotSEO and marketing tools87
GPTBotAI crawlers62
QlyzeBotOther named bots56
Amzn-SearchBotSearch engines52
SemrushBotSEO and marketing tools50
leakix.netOther named bots48
SeznamBotSearch engines46
RiverBotOther named bots43
DuckDuckBotSearch engines42

What people opened

Pages opened by at least two different human visitors.

PageHuman visitors
/45
/products/8
/safety/7
/applications/4
/faq/3
/science/3

How people arrived

Referring siteHuman visitors
m.baidu.com20
www.google.com7
duckduckgo.com4
www.bing.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
192.42.0.0/1615220
45.138.0.0/16703
66.249.0.0/16643
31.76.0.0/16462
185.220.0.0/16349
43.157.0.0/163218
43.130.0.0/162815
3.137.0.0/16221

Day by day

DayHuman visitorsHuman pagesNamed botsrequestsDisguisedrequestsScannersrequestsUnclearrequestsAllrequestsBot share
Oct 23231431173561163198%
Oct 24811114184418874097%
Oct 252296154268552898%
Oct 26911671273,16363,38199.3%
Oct 2757186112444976198%
Oct 2833167106713899999%
Oct 293596113282550298%
Oct 304987146523579595%
Oct 3135227110620897199%
Nov 11145201909956192,14296%
Nov 2351441471,80372,11099.2%
Nov 3810440891,786192,35099%
Nov 47101121256511191197%
Nov 5101211994739898796%
Nov 61252108771393699.5%

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.