Antifraud in general

[Man]

Let's get started. What is antifraud and how does it work?

Antifraud systems are software designed to prevent fraud and fraudulent activities in e-commerce. They use various methods to detect suspicious activities, such as:

• Analysis of user behavior on the site, such as time on pages, clicks, scrolling, and other actions.
• Analysis of IP address and location, including IP address persistence, its geographic location, VPN and Tor use, and proxy server analysis.
• Analysis of the device used to access the site, such as the browser, operating system, screen resolution, JavaScript support, and other technologies.
• Analysis of purchase history, including purchase frequency, purchase amount, payment methods used, shipping addresses used, and other data.
• Analysis of cookies and other storage data, including browsing history, user preferences, settings, and other data.

Anti-fraud system triggers:
Triggers are events that cause the anti-fraud system to operate. Fraud points are awarded for each suspicious action. If the amount of points exceeds the threshold set by the anti-fraud system (usually each shop is configured differently), the account is frozen or the order is cancelled. Suspicious actions include:

• Multiple orders from the same IP address or device within a short period of time
• Multiple orders with the same customer data, such as name, address, phone number, email address and other data. In other words, dirty drops
• Unusual behavior on the site, such as too fast navigation, too many clicks, too much input and other actions
• Unusual payments, such as unusually large amounts, use of unusual payment methods, use of unusual shipping addresses and other payment data
• Unusual GEO IP addresses, such as IP addresses from countries not associated with the information that is about the cardholder
• Unusual cookies and other storage data, such as too many cookies, cookies from unusual sites, cookies from sites associated with fraud, and other storage data. That is, antifraud collects and checks your cookies

Anti-fraud systems typically collect various types of user data to identify and prevent fraud. Below is a list of some of this data:

1. Personal information: Name, email address, residential address, telephone number and other contact details.
2. Purchase history: Records of previous purchases, including date, time, cost, and other transaction details.
3. Login history: Time, date and IP address of each login.
4. Devices and browsers: Information about the device and browser you are using, such as model, version, screen resolution, language and other settings.
5. Cookies and Local Storage: Data stored in the user's browser, such as cookies and local storage data.
6. Operating System: Information about the operating system you are using, including the version and other details.
7. Geolocation data: Information about the user's geographic location obtained from IP address or GPS data (on mobile devices).
8. Browser events: Data about user actions in the browser, such as mouse clicks, scrolling, and mouse pointer movements.
9. Device fingerprints: Unique device identifiers such as User Agent, Device ID, Device Fingerprint, and more.

A device fingerprint (also known as a unique device identifier) is a set of data used to identify and differentiate devices from each other. It may include a combination of various device attributes and properties, such as:

• User Agent: Information about the browser and operating system provided by the user's browser.
• Browser Plugins: Information about browser plugins and extensions installed on the user's device.
• Screen Resolution: The screen resolution of the user's device.
• Color Depth: The number of bits used to represent color on the user's device screen.
• JavaScript: Information collected using JavaScript, such as the list of fonts supported by the user's browser or data about when scripts are executed.
• System data: Information about system uptime, time in zone and other system parameters.

All this data is collected and analyzed by anti-fraud systems to identify potential fraudsters and prevent fraud.

Data that antifraud collects according to Wikipedia:

• Personal information: This includes information about our name, address, phone number, email and other details that can identify us. This information can be used to verify our identity and make sure that we are who we say we are.
• Transaction data: Anti-fraud systems may collect data about our financial transactions, including the amount of money involved in the transaction, the date and time of the transaction, and the parties involved. This information can be used to detect patterns of fraudulent activity and prevent future fraudulent activity.
• Device information: Anti-fraud systems may collect information about the devices we use to access online services, including the device type, operating system and browser. This information can be used to detect suspicious activity, such as attempts to access our accounts from unfamiliar devices.
• Location data: Anti-fraud systems may collect data about our location, including our IP address and GPS data. This information can be used to confirm that we are in a location that matches our claims and to detect fraudulent activity.
• Behavior data: Anti-fraud systems can collect data about our online behavior, including the sites we visit, the links we click, and the time spent on each page. This information can be used to detect patterns of fraudulent activity and prevent future fraudulent activity.
• In reality, there is much more to this data. From email to open applications.

Based on this, you can ask a logical question - what actions and tools are more trustworthy for anti-fraud systems, how to whiten your user profile?
To bypass anti-fraud systems, it is recommended to use clean IP addresses, devices and browsers, as well as use different drops for each order. In addition, one of the most fundamental recommendations for working with AF is to use anti-detect browsers that allow you to imitate real users and avoid detection by anti-fraud systems.

How does an antidetect browser help in work?
Antidetect browsers allow you to imitate real users and hide real system and browser data, thus reducing the likelihood of antifraud systems being triggered. They allow you to:

• Use different IP addresses for each profile. In other words, fine-tune to your needs.
• Use different devices in each session. Fine-tune each system parameter.
• Save settings for each account - multithreading.
• Simulate real users, such as mouse clicks, scrolling, data entry and other actions. Up to page warm-up.

Personally, I use what I consider to be one of the best products on the market at the moment - the new generation of Linken Sphere. After the update, it has become well adapted to work.
It allows:

• Use 100+ IP addresses in one browser
• Save settings for each account
• Customize every little detail
• Supports running multiple instances simultaneously
• Supports automatic IP address change

And much more

I'll tell you briefly about warming up. There will be another article on this topic later. Before starting the work itself, it is necessary to warm up the store. If we are talking about working with carding. To do this, you need to:

• Slowly compare products, competing stores, check reviews and guides on the Internet.
• Register social networks under CH
• Completely break through CH so that in case you can give verification
• Communication with support, clarification of details such as: that all notifications about orders arrive at the right time
• Make sure that all orders are delivered at the right time (communication with support)
• Make sure that all returns and exchanges are correct (communication with support)
• Also about mail - I recommend using mails that were registered a long time ago. For example, you can buy a Google that was registered a year or two ago.

What services should you spend time on besides the store?
To reduce the likelihood of the anti-fraud system being triggered, it is recommended to spend time on other sites not associated with fraud, such as state news sites, social networks, YouTube and other sites. This will help to avoid suspicious flags of the anti-fraud system, in addition, we fill cookies and ultimately this can increase the likelihood of a successful purchase.