Fake Account Creation – Detect & Prevent

What is creating fake accounts?

Fake account creation is a type of cybercrime in which individuals or organizations create fictitious user profiles on online platforms. These fake accounts are often used for malicious purposes, such as spreading false information, spamming or fraud.
Fake accounts can be created in different ways, including:
Using stolen personal information: Cybercriminals can steal legitimate users' personal information, such as their names, email addresses, and phone numbers, to create fake accounts.
Using fake account generators: There are tools and services available online that make it easy for cybercriminals to create fake accounts with fictitious information.
Using bots: Bots are automated computer programs that can be used to create fake accounts on a large scale.

Detect & Prevent Fake Account Creation with CloudFilt

CloudFilt is a SaaS-based security solution that offers a range of features for protecting online platforms, including fake account detection and prevention.
Here are reasons why you should choose the CloudFilt solution to detect and prevent the creation of fake accounts:


CloudFilt uses a combination of technologies to detect fake accounts, including user behavior analysis, account content analysis, and bot detection. These technologies are used in combination to provide more accurate and efficient fake account detection than solutions that use a single technology.


CloudFilt can be customized to meet the specific needs of online platforms. The solution offers a variety of features that can be configured to meet your specific needs. For example, you can customize detection rules to target the types of fake accounts that are of most concern to your platform.


CloudFilt is designed to be scalable and can be used to protect online platforms of any size. The solution is cloud-based, which means it can be easily scaled to meet the needs of your online platform.
In addition to these benefits, CloudFilt offers a number of other features that can be useful to online platforms, including:
⋅ The ability to automatically block detected fake accounts.
⋅ The ability to generate detailed reports on detected fake accounts.
⋅ Integration with existing systems of online platforms.
If you're looking for an effective, flexible, and scalable fake account detection and prevention solution, CloudFilt is a great option.

Stop Fake Account Creation

Motivations for creating fake accounts

Cybercriminals create fake accounts for a variety of reasons, including:

Dissemination of false information

Fake accounts can be used to spread false or misleading information, which can sow discord and undermine trust in online communities. For example, fake accounts have been used to spread disinformation on social media, which has contributed to the spread of the COVID-19 pandemic.


Fake accounts can be used to send unsolicited emails, messages or posts, which can clutter inboxes and disrupt online communication. For example, fake accounts have been used to send promotional spam or phishing messages.


Fake accounts can be used to commit financial fraud, such as creating multiple accounts to exploit sign-up bonuses or impersonating legitimate users to access sensitive information. For example, fake accounts have been used to steal credit card information or commit investment scams.

Influence of opinions

Fake accounts can be used to create the illusion of broad support for a particular point of view or to manipulate online polls or reviews. For example, fake accounts have been used to promote political candidates or to influence election results.

Detection of fake account creation

Identifying fake accounts can be difficult, as cybercriminals often employ sophisticated techniques to hide their real identities. However, there are several methods that can be used to detect and prevent the creation of fake accounts.
Websites can use a combination of methods to detect the creation of fake accounts. These methods include:

User behavior analysis

This method analyzes how users interact with the website to identify suspicious patterns. For example, an account that posts a large number of messages or comments in a short period of time could be a fake account.

Account content analysis

This method analyzes the content of accounts to identify signs of fraud or malicious intent. For example, an account that posts false information or promotes fraudulent products or services could be a fake account.

Bot detection

This method uses bot detection techniques to identify accounts that are created and controlled by bots. Bots are computer programs designed to imitate human behavior online. They are often used to create fake accounts on a large scale. In addition to these methods, websites may also use user verification techniques. These techniques may include asking for personally identifying information, such as a government-issued ID or telephone number.

How a site can limit the creation of fake accounts

Websites should be vigilant against creating fake accounts, as these accounts can be used for malicious purposes. By using a combination of methods, websites can improve their chances of detecting fake accounts and protecting their users.
Here are some concrete examples of methods websites use to detect the creation of fake accounts:

Providing Personally Identifiable Information

Websites may ask users to provide personally identifiable information, such as a government-issued ID or phone number. This information may be used to verify the identity of users and to prevent the creation of fake accounts.

Analyze user behavior

Websites may use algorithms to analyze user behavior. For example, an algorithm can identify accounts that post a large number of messages in a short period of time, accounts that use similar IP addresses or usernames, or accounts that interact with other accounts that have been identified as being false.

Use bot detection tools

Websites may use bot detection tools to identify accounts that are controlled by computer programs. These tools can analyze user behavior, such as typing speed, consistency of grammar and spelling, or how often users click on links. Stop Fake Account Creation for Free

We stop only bad and malicious Bots

You will have a more global view of your visitors and their behavior. Indeed CloudFilt is the only solution to analyze the front and the back end at the same time.

Bot traffic
Web Scraping
Tor traffic
Spam Submissions
Proxy traffic
Fake Account Creation
IP reputation
Account Takeover
IP Risk Score
Web Fraud
Carding Fraud
Business logic
Inventory Hoarding
Marketing Fraud
Denial of service (DDoS)
Protection from automated threats
Blocking by country and continent(GDPR)

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CloudFilt analyzes the whole behavior of the hacker/bot on the website, application & API from back and front end.