How to Efficiently Deal with the Spam in Google Analytics
- This guide will help you stop and remove with any type of spam, whether it is a referral, keyword, page, language
- These solutions will work independently of the platform you use (WordPress, Weebly, Shopify, Wix, Squarespace, etc)
- This article has been regularly updated for over 2 years to deal with the new spam types.
List of latest spam
| Recent Referrer List | ||
|---|---|---|
| motherboard.vice.com / referral with page tiltle google-liar.ru | ||
| piulatte.cz / referral | foxweber.com | |
| track-rankings.online | free-fb-traffic.com | election.interferencer.ru |
| share-buttons-for-free.com | amazon-seo-service.com | ecommerce-seo.org |
| petitions.whitehouse.gov | vc.ru referral | e-commerce-seo1.com |
| ####-1.insider.pro page title / referral | mail.allnews24.in | website-analytics.online |
| speedup-my.site | Fake cookie compliance scanner sites | site-auditor.online |
| uptimerobot.com / referral | timer4web.com referral | e-commerce-seo.com |
| Recent Keyword, Page and now Language Spam List | ||
|---|---|---|
| Language spam: "Congratulations to Trump and all americans" the spammer just run out of ideas | ||
| Language: Secret.Google.com-Trump | Language: "o-o-8-o-o.com search shell" | Page title: "Vitaly rules google" |
| Page: /sharebutton.to | Page: /www1.free-share-buttons.top | Keyword: cdn front.to |
| Page title: MULTIPLE page titles showing full URLs of articles talking about one of the spammers. | ||
| Keyword: MULTIPLE (30+) combinations ending with sharebutton.to | ||
The spam in Google Analytics has become a headache for many users that rely on it to track the performance of their sites. Unfortunately, all the junk traffic makes it hard to do, especially for small/medium sites where the spam can account for a big part of their data.
The most annoying part is that spammers keep changing names and using different methods like referrals, keywords, and even languages, so using traditional solutions based on the name of the spam is essentially useless and a waste of time.
Luckily there is a much better way of preventing all this spam nonsense. In this guide I will show you not only how to get rid it, but also how to do it (1) safely so you don't risk your real data, and (2) efficiently, so you don't waste your time constantly updating filters every time new spammer shows up.
Want me to take care of this and review other essential settings? I can help you configure your Analytics to make sure you are receiving clean and meaningful data.
Myths about the spam in Analytics
There are many myths and partial solutions out there. Some will only waste your time, while others may complicate things even more, so if you've made any of the mistakes below, undo the changes if possible.
- Don't create simple exclude filters for each spammer. This is extremely inefficient.
- Don't use the referral exclusion list for spam; it will just complicate the issue even more!
- Don't use server-side solutions like WordPress plugins or the .htaccess for Ghosts spam.
- Don't worry about the spam harming your SEO or Rankings.
The Right Way of dealing with the spam
These solutions have been proven to work for over two years regardless of the tactics used by spammers.
The following screenshot shows some examples:
- Data in blue: Segment of data showing only the spam.
- Orange line: Represents the moment when the filters from this guide were applied to that property.
And I will show you how to get these results for your Analytics.
How to Efficiently Block and Clean All the #Spam and Other Junk in #GoogleAnalyticsClick To TweetHere is what you will accomplish by the time you've implemented the instructions in this guide:
- Protect your data by configuring your views to protect your data from possible misconfigurations.
- Stop the spam and other irrelevant traffic using efficient filters that don't need to be constantly updated.
- Clean your historical data with an advanced segment to remove the spam from your historical data.
You can use the Quick Navigation on the right side of your screen to quickly jump between sections.
1. Protecting your Data from Misconfigurations
This step is not strictly required to clean your analytics, but it is still important to protect it from possible misconfigurations. Every Google Analytics account should have at least the following views:
- Master - View where you will apply filters. Used for analysis
- Unfiltered - Your backup view, which, shouldn't have any filter or any setting that alters the incoming data.
- Test (Optional) - if you want to be extra cautious you can create a test view that you can use to try the filters.
If you are already following these best practices, go to the next step. If you haven't and need help, here you can find the instructions on how to create an unfiltered and a test view
2. Stopping Google Analytics Spam and Other Irrelevant traffic
Once your views are correctly configured, the next step is blocking all of that dirty traffic that inflates your reports and don't let you see the real performance of your site. Here is what you will do:
- Filter for Ghost Spam (will stop any form referral, organic, page, language)
- Filter for Crawler Spam
- Filter for Fake Languages and Other Less Common Spam
- Extra: Filter for Internal traffic
- Extra: Enable the built-in feature Bot Filtering (to exclude known bots)
General notes about the filters
- While most of the time filters start working in minutes, officially it may take up to 24 hours before the filter effects become visible in your data, so be patient!
- You will apply the filters either in the master view (the view(s) to be used for analysis) or the test view if you want to try them first.
Don't have the time or the technical knowledge to do configure your Analytics? I can do it for you.
a. Creating a Valid Hostname Filter for Ghost Spam
This is the single most effective solution against the spam. This filter will permanently stop all traffic from common spammers like sharebutton, fake compliance cookie sites, site-auditor, spammers impersonating legit sites, and most of the language junk "vitaly rules google" and "secret.Google.com"
The difference between this solution and other commonly shared is that this filter is based on something that you control and can by counted with your hands, your hostnames.
What is a hostname? click here to expand
There is one thing I want to make clear because it sometimes causes a bit of confusion. Some people mistake the hostname with the source.
The Source is where your visit comes from and there can be any number of them, for example, Facebook, Google, Twitter, Youtube, links from other sites to your site, etc.
The hostname, on the other hand, is the site where the visitor arrives. Your main hostname will be your domain and, and depending on the configuration of your site, there may be others.
So as long as you add all of them you don't have to worry, you won't exclude any real traffic.
The main characteristic of ghost spam is that it never visits your site. Instead, it uses the measurement protocol to reach your GA directly. For that reason, this type of spam always leave a fake hostname or leaves an "undefined" hostname which will appear as (not set) in your reports.
If we use this to create a filter that will only let pass traffic with valid hostnames, all ghost traffic will be automatically excluded. This solution is much more efficient than the one commonly used, which is to create a filter with the name of spam. Plus this technique will work for any type referral, keyword, page, language, etc.
1. Find and make a list of your Hostnames: At least you should have one main hostname which will be your domain and depending on your site configuration you may find others. To see a list of all your active hostnames you should go to the Network report in your Analytics and select the blue text "Hostnames" at the top of the report. Make a list of all the valid ones.Not sure which are your valid hostnames? click here to expand the instructions
How to find your hostname report
The most important part of this method is getting a list of all your valid hostnames to avoid excluding any legitimate traffic. For that, you will need to find your network report then select hostname at the top of the report.
- On the reporting section, select a wide time frame on the calendar, go to the Audience reports in the sidebar.
- Expand Technology and select Network
- Make sure you select Hostname at the top of the report (by default Service Provider is selected), you will see a report with all your hostnames (real and fake).
- Make a list of all relevant host names you find. At least you should see one that will be your primary domain. The rest depends on the configuration of your site and all the services that have added tracking code (UA-000000-1). Here are some examples:
Your main domain: ohow.co Subdomains: blog.ohow.co Translate services: Bing translate Shopping Carts: Shopify CDNs: CloudFlare Video Services: Youtube Cache Services: Google cache IP's: 1.23.45.678 Payment Services: Paypal An invalid hostname is essentially any other that you do not know or control. For example:
- Hostnames with URLs pointing to the spammer website. - Known sites that may no look spammy but you don't control like cnn.com, foxnews.com, google.com or apple.com (spammers use them to mislead people) - The most common hostname for spam (not set), this happens when the spammer doesn't even bother to set a fake hostname. The following screenshot is an example of a hostname report:
Green: Valid | Red: Spam
These are just examples of hostnames, don't add hostnames that are not on your list From the report above we get the following valid hostnames. Remember we are looking for real valid hostnames to include, not to exclude.
www.ohow.co ohow.co translate.service.com www.videoservice.com webcache.service.com mail-list-manage.com www.ohow.co.googleweblight.com
2. Build your Hostname Expression: Once you have the list of all your hostnames, you have to create a regular expression (REGEX) that contains all of them.Need help to build your hostname expression? click here to expand the instructions
How to build your valid hostname filter expression
Once you gather all of your valid hostnames, you should create Regular Expression (REGEX) that matches all of them. Here are some tips to help you build your expression:
- To separate each hostname, you should use a bar or pipe character |, this works as OR, if you can´t find it, hold Alt + 124(Numeric pad)
- The dot . and the hyphen - are considered special characters in REGEX so you should add a backslash \ before them.
- Try to find a good way to match as many hostnames as you can, for example, if you want to match blog.ohow.co, es.ohow.co, www.ohow.co, you don't need to add all of them to the expression entering ohow, will be enough to match all of them (just avoid using common names).
- Don't leave any spaces.
- The REGEX has a limit of 255 characters if your expression exceeds this limit try to optimize it to keep everything under one expression because you can only have 1 Include hostname filter
- Don't add a pipe/bar |, at the beginning or the end of the expression.
- More about Regular Expressions
Following the recommendations above and using our list of Valid hostnames:
| List of hostnames found in the report | |
| www.ohow.co | ohow.co |
| translate.service.com | www.videoservice.com |
| webcache.service.com | mail-list-manage.com |
| www.ohow.co.googleweblight.com | |
We can build the expression that will match all of them:
ohow\.co|translate\.service\.com|videoservice\.com|webcache\.service\.com|mail\-list\-manage\.com
It is important that you add all your relevant hostnames, or you will lose valid data. If you want to be extra sure that you are not missing any, you can test your expression using a quick segment or by testing your filter for a few days in a test view.
Do you need help finding your hostnames and configuring the filters? I can personally review your Analytics settings to ensure everything is OK.
3. Create the valid hostname filter: Once you are sure the expression is correct, create an include hostname filter to get rid of all that nasty ghost spam once and for all.
How to Create a Valid Hostname Filter to Stop Ghost Spam
To block all ghost spam in Google Analytics, you need to create an include hostname filter:
- Go to the Admin tab, and select the view where you want to apply the filter. If you follow the naming above, this will be the Master view or Test view.
- Select Filters under the View column, and select + Add Filter
- Enter as a name for the filter Valid Hostnames.
- In Filter Type, select Custom
- IMPORTANT: Make sure you choose Include (you may need to scroll down a little) and select Hostname from the dropdown.
- Copy and paste the hostname expression that you built into the Filter Pattern box. If you click on Verify this filter, you will get a quick glance of how the filter will work. You should only see spam or irrelevant hostnames on the left side of the preview table.
If you get the message below, is probably because of the limited data used by this feature
This filter would not have changed your data. Either the filter configuration is incorrect, or the set of sampled data is too small
Try verifying it with a quick segment (if you haven't done it yet).
- After making sure your filter is ok, Save the filter.
IMPORTANT: This filter will stop most of the spam and doesn't require updates for new ghost spam, but it's essential to update the expression whenever you add the tracking ID to new service or domain.
b. Creating a filter for Crawler Spam
To save you some time, I've created an optimized REGEX for crawler spam that you'll find below in the instructions, or If you prefer, it can be built the same way as the valid hostname expression. This time, you will use the source (referral) name.
How to Stop Crawler Referrer Spam in Google Analytics
To stop referral spam you will need to create an exclude filter using the campaign source:
- Go to the Admin tab.
- Under the last column "VIEW", select Filters and then click + Add Filter
- Enter "Crawler Spam" as a name.
- Filter Type > Custom > Exclude
- Filter Field > Campaign Source
- Filter Pattern > Paste the following crawler spam expression.
The expressions have been completely rewriten to include more crawlers in less characters. If you created this filters before May 10th, 2017, just replace your expression with the following ones.
Create 1 filter for each expression
Crawler Expression 1
uptime(robot|bot|check|\-alpha|\.com)|vitaly|sharebutton|semalt|ranksonic|share\-button|anticrawler|timer4web|free\-video\-tool|responsive\-test|dogsrun|fix\-website\-er|dailyrank|sitevaluation|seo\-2\-0\.|99seo|top10\-wayCrawler Expression 2
(videos|buttons)\-for\-your|best\-seo\-(solution|offer)|buttons\-for\-website|profit\.xyz|dbutton|keywords\-monitoring|platezhka|7makemoney|forum69|kings\-analytics|checkpagerank|pr\-cy\.ru|\-\-(production|website|sale)\.comCrawler Expression 3
(audit|dollars|success|top1|amazon|commerce)\-seo|free\-video\-tool|datract|hacĸer|ɢoogl|slifty\.github|\-liar.ru|3\-letter\-|rencer\.ruGet notified whenever I detect new crawlers. You will receive the updated expression directly to your email.
You can click on Verify this filter to have a quick glance of how the filter will work. You should only see referral spam on the left side of the preview table.
Due the small sample data used by this feature to test the filter, it is very likely that you will get the following message:
This filter would not have changed your data. Either the filter configuration is incorrect, or the set of sampled data is too small
If you followed the instructions carefully, don't worry; the filter will work. Alternatively, you can verify the filter with a quick segment.
- After everything is set Save.
Note: You may find other referrals that may not be spam, but neither relevant for you. For example, mobile test sites or cache sites. You can create a similar filter with the same configuration and add all the irrelevant referrals there to keep your data pristine and reliable.
c. Creating a Filter for Fake Languages and Other Spam Types
This is the latest form of spam in Analytics, the hostname filter will prevent most of it, however, there are a few hits that may sneak in, a kind of mix of crawler and ghost spam.
I've also added a language that doesn't come from spam but it comes from bots which is also irrelevant for your data. You may see it as language c
I prepared the following expression to prevent any language that doesn't have a proper format like en-us, en-uk, es, etc. and added at the end the bot language represented by the letter "c"
- To create a language filter follow the same steps as the crawler filter above and change
- In Filter field to Language Settings
- In Filter pattern box enter the following expression as it is:
\s[^\s]*\s|.{15,}|\.|,|^c$
-
Click "verify this filter" to check if everything is ok. You should see only fake languages on the left side of the preview table.
Page Title Spam
-
Update (Feb 25, 2017): A few sites are getting a combination of ghost and crawler spam. If you are still getting motherboard.vice.com and other fake referrals, after adding the previous filters do the following.
- In Filter field to Page title
- In Filter pattern box copy the following expression as it is:
google-liar|whitehouse\.gov|life\.ru|vice\.com|vc\.ru
d. Extra: Excluding Internal Traffic
Although this type of traffic is not spam, it can be as dangerous to your analytics. If you don't apply filters for the traffic generated by you or other people of your team, this data will get mixed up with your real visits data, and a difference with the spam, this is much harder to identify later.
To create this filter, you will need the public IP of the network/wifi you want to exclude. You can find it here. You will see something like this 12.345.678.90 or the longer version IPv6
If you need help building this filter and other methods you will find full instructions for internal traffic filters in this post.
e. Extra: Enabling "Exclude all hits from known bots and spiders"
There are many other crawlers around that are not spam but neither useful for your reports. For example, the ones crawling your site for indexing. This bots will leave a record in your reports if not excluded.
In this case, is a bit easier because Google Analytics has a built-in feature to exclude this traffic.
How to enable bot filtering
Repeat the following steps for all your views
- Again in the Admin Tab, select one of your views under the VIEW column in the admin section.
- Click View Settings
- Near the bottom check the box Exclude all hits from known bots and spiders (Bot Filtering)
- Save and repeat the process with all your Views
You can see the more details about Google Analytics Bots and Spider Filtering here.
3. Cleaning up the Spam in Google Analytics (Historical Data)
The spam that is already stored in your Analytics (or any data for that matter) can't be permanently deleted. That is why it is important to create the filters to stop receiving junk traffic.
However, you can still clean your past data affected by spam by using the valid hostname expression you built previously and an advanced segment.
How to Remove the Spam from Google Analytics Historical Data
To eliminate the spam from your Google Analytics historical data you will have to create an advanced segment:
- In the Reporting section, click the box that says All Users (at the top of the graph). Next click the red button +NEW SEGMENT
- In the segment window, almost to the bottom click Conditions
- First condition:
- Filter > Sessions > Include
- Dropdown 1> Hostname
- Dropdown 2 > matches regex
- Textbox > Paste the Hostname Expression that you previously used for the filter.
- Click +Add Filter at the bottom to add a new condition.
- Second Condition:
- Filter >Sessions >Exclude
- Dropdown 1 > Source
- Dropdown 2 > matches regex
- Textbox > Paste the Crawler Spam expression
The following expression is optimized to clean all crawler spam detected over the last couple of years.
(brateg|budilneg|buketeg|bezlimitko|biteg|boltalko|begalka|alfabot|arendovalka|bank\-rot|abcdefh|aptechko|bukleteg|abc)\.xyz|(magnet\-to\-torrent|torrent\-to\-magnet)\.com|(baixar|descargar)\-musica|wordpress(\-start|\-crew)|uptime(robot|bot|check|\-alpha|\.com)|vitaly|sharebutton|semalt|ranksonic|share\-button|anticrawler|timer4web|free\-video\-tool|responsive\-test|dogsrun|fix\-website\-er|dailyrank|sitevaluation|seo\-2\-0\.|99seo|top10\-way|(videos|buttons)\-for\-your|best\-seo\-(solution|offer)|buttons\-for\-website|profit\.xyz|dbutton|keywords\-monitoring|platezhka|7makemoney|forum69|kings\-analytics|checkpagerank|pr\-cy\.ru|\-\-(production|website|sale)\.com|(audit|dollars|success|top1|amazon|commerce)\-seo|free\-video\-tool|datract|hacĸer|ɢoogl|slifty\.github|\-liar.ru|3\-letter\-|rencer\.ruGet notified whenever I detect new types of spam. You will receive the updated expression directly to your email.
- Click the button Or to the left of the condition you just configured
- Third Condition
- Dropdown 1 > Language
- Dropdown 2 > matches regex
- Textbox > Paste the following expression
\s[^\s]*\s|.{15,}|\.|,|^c$ -
Update (Feb 25, 2017): A few sites are getting a combination of ghost and crawler spam. If you still see motherboard.vice.com and other fake referrals, after adding the previous conditions do the following.
Click +Add Filter at the bottom to add a new condition.
Fourth Condition:
- Dropdown 1 > Page Title
- Dropdown 2 > matches regex
- Textbox > Paste the following expression
google-liar|whitehouse\.gov|life\.ru|vice\.com|vc\.ru - Enter All Users - clean" as a name for the segment and Save.
After saving the segment, you will be able to see spam-free reports, as long as the segment is selected. Eventually, the filters will do their work, and you won't need to use the segment anymore.
Prevent any Form of Spam in Google Analytics With the Right Filters.Click To TweetSecurity, SEO, Rankings and other Concerns
Because the article was getting too long, I divided the theoretical from the practical part. If you have more questions or concerns, you can also check the FAQ I made about the spam in Google Analytics. Things like:
- Does the spam harm my SEO-Rankings?
- Is Google doing something to handle this threat?
- How does it get in your reports?
These and many other answers and demonstrations.
Other ways of improving your Analytics
Cleaning up your analytics is an important part of getting reliable data. To ensure you get even better insights, I recommend you to follow these best practices.
Conclusion
Google Analytics is a powerful tool that will help you understand your traffic but it will take some work if you want to ensure you receive clean and trustworthy data. Otherwise, you might be pointed to the wrong direction.
"Even on high volume websites were data spamming would be marginal, you still have to explain why there's such a discrepancy. As an analyst you can't dismiss it simply by saying "nah... we're not too sure what it is, but I heard about that spamming thing..."
By applying these solutions, you ensure that you will receive accurate data. These solutions have been proven to work for over two years regardless of the tactics used by spammers as the following screenshot shows.
- Data in blue segment of data showing only the spam in the property
- Orange line represents the moment when the filters from this guide were applied to that property.
Do you have any Questions/Feedback?
I've tried to cover every important detail in this article, however, if there is any part of the guide where you got stuck, let me know in the comments section below and I'll try to clarify it for you.
Do you want me to review your Analytics and apply these solutions?
Spam hits thousands of Google Analytics users. If this article helped you, please consider sharing it or leaving a comment with your experience. It may help other people! :)
How to Efficiently Deal with the Spam in Google AnalyticsClick To TweetHistorical Spam List (Crawler and Ghost).
I will keep updated this list. You can keep it as a reference in case you find any suspicious traffic in your Analytics.
| Crawler Spam List | ||
|---|---|---|
| foxweber.com | ||
| amazon-seo-service.com | share-buttons-for-free.com | uptimerobot.com / referral |
| google-liar.ru | top10-way.com | datract.com |
| bukleteg.xyz | abc.xyz | lifehacĸer.com |
| brateg.xyz | budilneg.xyz | buketeg.xyz |
| bezlimitko.xyz referral | biteg.xyz | boltalko.xyz |
| begalka.xyz / referral | alfabot.xyz | arendovalka.xyz |
| bank-rot.xyz | abcdefh.xyz | aptechko.xyz |
| uptime-alpha.net | 3-letter-domains.net / referral | uptime.com |
| 1-free-share-buttons.com | timer4web.com | success-seo.com |
| 1-99seo.com | platezhka.net | semaltmedia.com |
| seo-2-0.com | videos-for-your-business.com | dailyrank.net |
| fix-website-errors.com | free-video-tool.com | magnet-to-torrent.com |
| keywords-monitoring-your-success.com | torrent-to-magnet.com | uptimebot.net |
| sitevaluation.org | dogsrun.net | ###.responsive-test.net |
| 100dollars-seo.com | partner.semalt.com | best-seo-solution.com |
| uptimechecker.com | best-seo-offer.com | semalt.com |
| top1-seo-service.com | semalt.semalt.com | 7makemoneyonline.com |
| fast-wordpress-start.com | dbutton.net | justprofit.xyz |
| wordpress-crew.net | video--production.com | buttons-for-website.com |
| anticrawler.org | baixar-musicas-gratis.com | forum69.info |
| descargar-musica-gratis.net | buttons-for-your-website.com | |
| LIST LEGITIMATE SITES TARGETD BY SPAM | ||
|---|---|---|
| thenextweb.com | addons.mozilla.org / page title | washingtonpost.com / referral |
| motherboard.vice.com / referral | reddit.com / referral | lifehacker.com / referral |
| LIST OF LATEST GHOTS SPAM | ||
|---|---|---|
| free-fb-traffic.com | piulatte.cz / referral | |
| ecommerce-seo.org | e-commerce-seo.com | track-rankings.online |
| e-commerce-seo1.com | amazon-seo-service.com | share-buttons-for-free.com |
| 12345678.com | buy2daydietpills.com | mztpills.com |
| slimming800.com | 0-0-8-0-0.com search shell | timer4web.com referral |
| eaplay.ru/a00af605 | ####-1.insider.pro page title / referral | mail.allnews24.in |
| Advertise.ru | okout.ru/a00af605 | analytics-ads.xyz |
| secret.ɢoogle.com | motherboard.vice.com / referral | website-analytics.online |
| bukleteg.xyz | abc.xyz | eyeserp.com / referral |
| brateg.xyz | budilneg.xyz | buketeg.xyz |
| bezlimitko.xyz | biteg.xyz | boltalko.xyz |
| begalka.xyz | alfabot.xyz | bank-rot.xyz |
| arendovalka.xyz / referral | abcdefh.xyz | aptechko.xyz |
| abcdefgi.xyz | speedup-my.site | addons.mozilla.org / referral |
| ##-1.website-speed-check.site | ##-1.website-speed-checker.site | ##-1.website-speed-up.top |
| ##-1.website-speed-up.site | ##-1.site-speed-check.site | ##-site-speed-up.site |
| ##-1.site-speed-checker.site | ##-1.site-speed-up.top | 24x7-server-support.site |
| golden-catalog.pro / referral | californianews.cf | www1.free-share-buttons.top |
| cdn front.to | pinkduck.ga | fashionindeed.ml |
| scanner-[name].top | homemade.gq | eyes-on-you.ga |
| compliance-checker.info | cookielawblog.wordpress.com | gq-catalog.gq |
| familyholiday.ml / referral | compliance-***.top | executehosting.com |
| bugof.gq | www1.cookie-law.xyz | fashionindeed.ml |
| wowas31.ucoz.ru | expdom.com | nyfinance.ml |
| globalscam.ga | spin2016.cf | popup-jdh.xyz |
| turkeyreport.tk | alert-jdh.xyz | |
| motherboard.vice.com / referral with page tiltle google-liar.ru | ||
| MULTIPLE combinations (30+) of fake keywords with sharebutton.to at the end | petitions.whitehouse.gov | |
| addons.mozilla.org/en-US/firefox/addon/ilovevitaly/ | ||
| Check full historical list of ghost spam (300+) | ||
Update: The spammer behind the language spam "Secret.ɢoogle.com", "Trump" and "Vitaly rules google" is using legit sites as spam like twitter.com, blackhatworld.com, reddit.com, a fake lifehacĸer.com, and many others. This guide will help you prevent them without risking your real traffic.
| LIST LANGUAGE SPAM | ||
|---|---|---|
| Secret.ɢoogle.com You are invited! Enter only with this ticket URL. Copy it. Vote for Trump! | ||
| "Vitaly rules google ☆*:｡゜ﾟ･*ヽ(^ᴗ^)ﾉ*･゜ﾟ｡:*☆ ¯\_(ツ)_/¯(ಠ益ಠ)(ಥ‿ಥ)(ʘ‿ʘ)ლ(ಠ_ಠლ)( ͡° ͜ʖ ͡°)ヽ(ﾟДﾟ)ﾉʕ•̫͡•ʔᶘ ᵒᴥᵒᶅ(=^ ^=)oO" | ||
| o-o-8-o-o.com search shell is much better than google! | ||
| Google officially recommends o-o-8-o-o.com search shell! | ||
| Language spam: "Congratulations to Trump and all americans" another message supporting Trump | ||
| youtu.be/7TD18I0wyEY - youtu.be/BiblCyS8A5I - youtu.be/mMCG3YYacz8 - All World Watching These Videos |
| Recent Referrer List | ||
|---|---|---|
| motherboard.vice.com / referral with page tiltle google-liar.ru | ||
| piulatte.cz / referral | foxweber.com | |
| track-rankings.online | free-fb-traffic.com | election.interferencer.ru |
| share-buttons-for-free.com | amazon-seo-service.com | ecommerce-seo.org |
| petitions.whitehouse.gov | vc.ru referral | e-commerce-seo1.com |
| ####-1.insider.pro page title / referral | mail.allnews24.in | website-analytics.online |
| speedup-my.site | Fake cookie compliance scanner sites | site-auditor.online |
| uptimerobot.com / referral | timer4web.com referral | e-commerce-seo.com |
| Recent Keyword, Page and now Language Spam List | ||
|---|---|---|
| Language spam: "Congratulations to Trump and all americans" the spammer just run out of ideas | ||
| Language: Secret.Google.com-Trump | Language: "o-o-8-o-o.com search shell" | Page title: "Vitaly rules google" |
| Page: /sharebutton.to | Page: /www1.free-share-buttons.top | Keyword: cdn front.to |
| Page title: MULTIPLE page titles showing full URLs of articles talking about one of the spammers. | ||
| Keyword: MULTIPLE (30+) combinations ending with sharebutton.to | ||
