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Monitoring for Fake Account Creation automatically
Fake accounts, also known as impostor accounts, are best defined as an online digital identity that uses fabricated, stolen, or misleading information to deceive others, bypass security systems, or conceal the true identity of its creator. These accounts are often manipulated automatically by computer scripts.
Not only does fake account creation lead to deception but they are often a tell-tale sign of imminent fraud or an account take-over attack that is about to happen.
The rise of fake accounts on websites and apps has become a significant concern for businesses. These malicious accounts are often overlooked or seen as harmless nuisance that just mess up the marketing stats. However, in our experience, you ignore fake accounts at your peril!
These dormant accounts often act like sleeper cells, benign and harmless, until activated by attackers for a whole range of cybercrimes.
VerifiedThreat is committed to helping you protect your platform and users from the risks posed by fake account creation. In this comprehensive guide, we will present you with advanced techniques and strategies to detect and prevent fake account creation effectively.
What is a Fake Account?
A fake account is a profile or identity usually created by bots with malicious intent to deceive others. These accounts imitate genuine users, they can pass Captcha fields, and even two-factor authentication, and are used to spread misinformation, engage in fraud, or carry out cybercrimes.
Problems caused by Fake Accounts
Fake account creation can have severe consequences for your platform, affecting user trust, data integrity, and overall reputation. Some common problems associated with fake accounts include:
Identity Theft, Fake Registrations and Fraudulent Activities
Malicious actors use fake accounts to impersonate real users, leading to identity theft and fraudulent activities within your platform
Fake user accounts used to be easy to spot. Automated bots would register for your service, but would leave tell-tale signs they are fake.
For example, they would use free email providers such as gmail or hotmail accounts with numbers, e.g. 223408080@hotmail.com and the registrations often happen in a very short space of time. The hackers are relying on the fact that many sites don’t vet each and every registration, and you can simply hide in the volume of daily registrations.
Increasingly, we are seeing bots are programmed to be much smarter. The volume of registrations is more organic, and the hackers use more natural emails created with GenAI, or even - see below - fake emails from stolen IDs.
Social Media Impostors
One prevalent form of fake accounts are social media impostors. These impostors mimic well-known personalities, celebrities, or public figures to attract followers, spread false information, or scam unsuspecting users. These accounts often use bots to transmit fake messages - e.g. investing in the latest crypto-schemes.
Spam and Phishing Attacks from Fake Emails
Fake email accounts can be used to send spam messages or phishing emails to genuine users, compromising their personal information and data security. These accounts are created to trick recipients into believing that the sender is someone they know or a legitimate organization. They can also be used to create fake accounts, register for a service, and then use bots to take advantage of the registered service. For example, a bot might want to register to scrape data from behind a firewall, steal data about other users, or buy high value tickets and other items for re-sale.
Distorted Analytics and Vanity Metrics
Fake accounts can skew user engagement metrics and analytics, making it challenging to obtain accurate data for decision-making processes. This can be challenging in a corporate setting. For example, if one of the company Key Performance Indicators (KPI)’s is setting marketing goals for registrations, engagement or user growth, removing these fake accounts can negatively impact on reported metrics.
How Fake Accounts Are Created
Many fake accounts are generated through automated scripts. Hackers and cybercriminals use sophisticated scripts to create multiple fake profiles rapidly.
Use of Automated Bots
Bots are programmed to register online for a service. This fake account creation is made to look like a real user. Bots can use captcha farms - outsourced real human captcha solvers, or are programmed to pass the captcha. Many sites use an alternative audio capture for accessibility reasons. Bots can easily use AI voice recognition to listen and complete the audio captcha. They can also be programmed to respond to SMS authentication requests using a range of mobile numbers assigned to fake registrations.
Identity Theft
In some cases, fake accounts are established through identity theft. Stolen personal information is used to create convincing profiles that can be leveraged for nefarious purposes.
How most Companies Identify Fake Accounts and why these old methods aren’t effective.
Email Verification and Validation
Implement a robust email verification process during account registration to ensure that users provide valid and active email addresses.
❌ FAIL - the account is FAKE.
Phone Number Verification
Utilize phone number verification through OTP (One-Time Password) to add an extra layer of security and prevent automated fake account creation.
❌ FAIL - the account is FAKE.
CAPTCHA Challenges
Integrate CAPTCHA challenges at critical junctures to deter bots and automated scripts from registering fake accounts.
❌ FAIL - the bots pass CAPTCHA.
✅ Authenticator Two-Factor- Authentication
Using a robust authenticator is probably the most effective way of managing and authenticating users.
❌ FAIL - Forcing authenticator registration of all users may be a real issue for access. User acceptance may be strong for banking, financial services, and security use cases, but user resistance for general e-commerce and associated conversions may well be severely affected. Don’t forget, Bots can also be programmed to pass the authenticators! Setting up fake authenticated accounts with multiple emails is
✅ Manually Inspecting Logs and User Profiles
It’s true that fake accounts may have incomplete or inconsistent profile information, raising suspicions about their authenticity, but manual inspection isn’t the best way to spend your time.
❌ FAIL:
However, inspecting these manually if you have more than a few thousands registrations is a herculean task. Humans don’t enjoy registering for services, and will likely have all sorts of inconsistencies with their profile.
IP Address Monitoring
Manually monitoring IP addresses for suspicious activities, such as multiple account registrations from the same IP, which could indicate potential bot involvement is possible.
❌ FAIL. However, doing this manually with many thousands of accounts is very hard, and most sophisticated bots rotate IPs constantly.
Unusual Behaviour
✅ Accounts that exhibit unusual patterns of activity is a good tell-tale sign that the account is fake. However, this is again very difficult to spot, unless the account is massively abusing your service.
❌ FAIL: Account usage genuinely does vary enormously across our human population. Without bot management tools, this is a really complex problem to solve manually.
Rate Limiting
Enforce rate limiting for account registration attempts to prevent bots from overwhelming your system with numerous requests.
❌❌ Total Fail. Punishing all users because you can’t identify the bots is a total fail.
Verification Checks and Registration Audits
✅ Auditing and verifying the identity of individuals manually, or performing spot audits on a sample of your registration can definitely help.
The manual audit may reveal that fake accounts do exist in the sample, and from there, it’s possible to size and scope the extent of the issue based on the total registrations and sample size.
However, manual methods to verify each and every account is a lot of work. It will only make sense if you have a small amount of high-value accounts.
A manual check may reveal that the registration mobile credentials are real, but the customer never picks up the phone. In all likelihood you suspect the mobile is just a burner phone used for fake account creation. The problem is many legitimate customers don’t respond to mobile messages either.
The good news is Audits really should pick up some fakes. Positively identifying a ‘genuine’ fake is very helpful, as you can then understand more about the fake account creation process, to uncover a pattern that may identify other accounts. Manual verification can absolutely make business sense according to the context.
Fake Accounts With Advanced AI Techniques
We’ve seen how most of the traditional methods fail. How can VerifiedThreat help to prevent fake accounts?
RedTeam Emulation
VerifiedThreat uses red team automated bots to effectively test the platform’s defences. You can then see how effective your strategy is at preventing the fake accounts.
Behavioral Analysis
Conduct behavioral analysis of user interactions to distinguish genuine users from bots based on their browsing patterns and responses to certain triggers.
Preventive Measures Against Fake Account Creation
✅ Two-Factor Authentication (2FA)
Mandate the use of Two-Factor Authentication for all user accounts to add an additional security layer and thwart unauthorized access.
IP Address Monitoring
User Identity Verification
✅ Implement a user identity verification process for sensitive transactions or activities that require higher security measures.
Regular Security Audits
✅ Conduct regular security audits to identify vulnerabilities and potential weaknesses in your platform's security measures.
Educate Users on Cybersecurity
✅ Educate your users about the importance of strong passwords, avoiding suspicious links, and being cautious while sharing personal information online.
Collaborate with Cybersecurity Experts
✅ Partner with cybersecurity experts to stay updated on the latest security trends and technologies, ensuring your platform is well-equipped to handle emerging threats. VerifiedThreat’s continual attack surface management tools allow you to do this automatically.
By following these comprehensive strategies and implementing advanced security measures, you can effectively detect and prevent fake account creation on your websites and apps. Safeguarding your users' data and maintaining their trust will help you establish a solid reputation, leading to better rankings and increased visibility on search engines like Google. Protecting your platform from fake accounts is not just about adhering to best practices but also about fostering a secure digital environment for all your users. Stay proactive, stay vigilant, and stay ahead of the curve in the battle against fake account creation.
Conclusion
Fake accounts are more than a nuisance. They are the crucial tell-tale sign of an impending account take over attack or more serious fraud.
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