Updated Custom Rules Documentation

Today we've released an update to our API Documentation page which fully explains how to use the new condition groups feature we introduced recently to the customer dashboard with new screenshots and instructions.

We also took this oppertunity to rename some of the option dropdowns within the Custom Rules feature so it's more intuitive. Gone are Condition Targets, Types and Values and in their place we now have API Provided Values, Comparison Types and Your Values.

That's all for today, we hope everyone is having a great week!

November Newsletter

Today we sent out the second newsletter of this year to users who have the "New features and improvements" email toggle enabled within their dashboard. This has again been the widest distributed newsletter so far as the service continues to enjoy rapid growth.

If you didn't receive the newsletter but would like to read it you can do so here on our website.

We've made quite a lot of changes since April 2019 when we sent our last newsletter. We only publish two per year so you can expect our next one around April-May next year.

Thanks for reading and have a great week!

Adding support for Google Pay!

This is just a quick update for you. On November 7th we will be supporting Google Pay on our checkout system where you can setup a monthly or yearly subscription. This works exactly the same as when using a bank card or Apple Pay except you'll now see a Google Pay button if you've setup a Google Pay account. This is how it looks:

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Very similar to our Apple Pay button. Over time we are adding more and more payment options such as Microsoft Pay, iDEAL and Sepa so stay tuned for more updates!

Custom Rules Update: Condition Groups

Today we're introducing our second major post-launch update to the custom rules feature found within your customer dashboard and it's quite a substantial update, but before we get to that we would just like to tell you about the customer response to the custom rules feature.

Since we released the custom rules feature on July 17th we have received an enormous amount of feedback from customers. Infact it has become the most discussed feature within the conversations we hold with customers. This is why soon after launch we added more conditions and early in August in our first major update to the feature we added output variables.

Todays update focuses again on rule conditions. Previously every condition you added to a rule all had to be true for that rule to be acted upon. This meant you may have had to create more rules than you wanted simply due to your need to account for every possible situation.

Sometimes you just want to create a rule that only applies to a few different IP Addresses, Countries or Cities and you don't want to create individual rules for each scenario. While from the start we supported the supply of multiple values for a single condition (and this is still supported) it was not a great experience to fill such a small box with so much data and it also limited you to one specific condition type for all the values you supplied.

With this new addition of condition groups you can create as the name suggests a group of conditions where only a single condition within that group needs to be true for the entire group to be satisfied. This allows you to easily create rules which apply to a whole bunch of countries or addresses or any of our condition types allowing very powerful rule targeting.

Below is a screenshot where we're creating a rule that only applies to a specific internet service provider in the United Kingdom. But we only want that rule to apply to three cities that they operate in and not the entire country. As you can see we've cleverly colour coded different conditions, pink conditions are required to be true while conditions wrapped inside a blue background only need a single condition within its group to be true.

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Now this rule will only be activated if the ISP and Country matches the entries in pink and also when any one of the three Cities in the condition group are seen. And as you can see on the left within the condition group there is a dropdown. You don't need all the conditions within the group to be the same type. We could substitute one of the Cities for something else like an ASN number or an address range.

Like previously there are no limits on the amount of conditions you can specify for each rule and this extends to condition groups. You could if you wanted create your own whitelist or blacklist inside the rule feature using a single rule simply by creating a condition group and filling it with the Addresses, ASN's or IP Ranges you wish to whitelist or blacklist.

This update extends the foundation that the custom rules feature is built on. No functionality has been lost, you don't need to re-save your rules and the import/export features still work as you would expect. You can even import rules created with the previous version of the custom rules feature without issue.

This feature update has taken a lot of work but we know it's worth it. Customer response to Custom Rules as noted above has been phenomenal and it's our intention to keep adding new functionality over time with backwards compatible updates like this one so you can retain complete control of how our API interacts with your properties.

Thanks for reading and we hope everyone is having a great week.

Lots of Dashboard improvements

Probably the feature that our customers interact with the most is our customer dashboard. Which is why we spend a lot of development time making it better. Over the past month we've added a lot of small enhancements which we would like to tell you about.

  • Icons and Buttons around the Dashboard were updated, we also added icons to buttons that previously didn't have any.
  • Greatly improved the speed at which your query statistics and positive detection log now appear (Avg 1 Minute).
  • Made the Queries Today and Queries Total show the most accurate and up to date volume of queries you've performed.
  • Added back support for customers to update their card details for a currently active subscription.
  • Improved the appearance of the account information table at the very top of your dashboard and moved the copy API Key button.
  • Added more text labels to paragraph blocks so it's easier to quickly read and summarise what a section is for.
  • Added support for custom rule plans so we can offer our largest customers custom rule plans separate to query plans.
  • Added a new custom rule output modifier to the rules feature which allows you to remove an output from the API by name.

These sorts of changes are always available to be read by hovering your mouse over the "Last Update" feature which is present at the bottom right of all our web pages.

Keeping you informed about the development progress of proxycheck.io is very important to us and while we usually wouldn't make a blog post for each of these changes on their own taken together there's a lot of improvements that warranted this blog post.

One thing we wanted to talk a little more about is the re-adding of support for customers to update their card information for a currently active subscription. When the European SCA (Secure Card Authentication) regulations came in we updated our integration to be compliant and during that time there was no way for us to do what's known as capture a customers card information for later use.

Due to that we had to remove the card updating feature from our website until our payment processor (Stripe) was able to provide such an integration which we could use, they were able to do that just ahead of the September 14th SCA deadline and we moved quickly to add that feature back within a few hours of Stripe launching it.

We're aware that some of you were inconvenienced when this feature was removed which is why we made every effort to add it back as soon as we could. As of now we're fully SCA compliant and as a result of that compliancy we now also accept Apple Pay which we spoke about in a previous blog post.

That's all for now, thanks for reading and have a great weekend.

New Dashboard API: Tag Stat Exporting!

When we added the new tag statistics section to the customer dashboard a week ago we instantly received requests from customers for an export API containing this data. We agreed with you that this feature was important and so today we've added it.

If you just want to see the documentation for this new API you can read that right here within our API documentation page.

This API is a bit different from the others, it has some more advanced features like being able to specify start and end unix timestamps to create a viewable time frame. This allows you to really look at tag use between any time period you specify. But we've also kept some more basic time controls like an easy to use days flag for our users who prefer that.

Below is an example of this new API endpoint showing how it can give you some great insight into your tag usage and the IP's triggering those tags.

    "www.example.com\/board\/ucp.php?mode=login": {
        "types": {
            "total": 10845,
            "rule": 468,
            "proxy": 10377
        "addresses": {
            "": 4263,
            "": 3615,
            "": 2967

With this new API Endpoint we've also updated our own dashboard implementation to use the same API and that brings with it enhanced performance, especially for users with a lot of tagged queries and we've also added the ability to click on entries to view the associated IP Addresses and a button to copy the addresses to your clipboard.

Thanks for reading and have a great weekend!

Dashboard updates: Rule Import/Export & Tag Statistics

Today we made two changes to the customer dashboard the first enables you to download your custom rules for backup, editing or to take to another IP processing company. We've also enabled the ability to upload your own rules in JSON format which makes it possible to create your own rule generator or easily move your rules from the different accounts you may have with us.

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You'll find two new buttons within the global control interface on the custom rules tab of the dashboard just like in the screenshot above.

The second change we've made is to do with the stats tab where we've added a new section to view tag statistics as shown in the screenshot below.

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This feature has often been requested and we're happy to be able to add it to the dashboard today. It essentially allows you to see how often your tags result in a positive detection with a breakdown showing the types of detections that it triggered.

So that's it for this update, we hope everyone is having a great weekend!

Post-Processing Inference Improvements

Today we've released a significant update to our post-processing inference engine which should greatly increase its detection time of bad addresses. The post-processing inference engine is the part of our service that stores addresses we don't think are proxies in a temporary cache so that more data can be accumulated and more processing power can be used to determine if the addresses are in-fact bad.

The new changes today allow the engine to be a lot more aggressive on when it starts making determinations. Prior to today we would convert IP Addresses into one-way hashes (similar to how we hash passwords) and then only make a determination on whether those hashes are proxies or not after we had gathered 8 hours worth of data.

This meant that if an IP was going on a rampage, such as registering on lots of websites, brute forcing passwords and so forth it's likely we would not detect it as a bad address until its 8th hour in operation. For some IP's you really do need this amount of time to get a full picture of its intent as we do not have a complete overview of the entire internet, we only see a small slice.

But for other addresses it becomes obvious in mere seconds that they are bad. And so that is why we've re-engineered our post-processing engine to be a lot more aggressive in when it begins to make determinations. Now it will constantly re-evaluate them based on the actions it's seeing them perform in near real-time allowing us to go from first sight to determination in seconds instead of hours.

Already we're seeing an uplift in detection rate for the worst addresses attacking our customers and honeypots. As our customer base continues to grow, the speed at which attacks are correlated will increase resulting in even faster determinations. Essentially the more our customers and honeypots receive attacks the faster we can identify those bad addresses causing those attacks and share our determinations through our API.

In addition to these changes we've also updated our machine learning model and the inference engine can now hold hashed addresses for a much longer period of time if it feels that's warranted which allows for more data accumulation. This should increase the overall detection rate over our previous model due to it now being able to gather much more evidence.

Thanks for reading this update and we hope everyone is having a great week.