How to Detect Fake Account Creation Attacks

Fake account creation is a widespread and dangerous cybersecurity issue with far-reaching implications for individuals, organizations, and digital platforms. Understanding this threat, its mechanisms, and countermeasures is crucial for anyone involved in the digital world.

Detect fake account creation attacks on dating apps can be used to send phishing messages; online gaming accounts can be used to accrue in-game assets and then sold on dark forums; financial services can be used to carry out credit card testing or account takeover attacks; and more. These attacks are often automated and use synthetic identities that pass basic identification checks to perpetrate the fraud. In the case of fraudulent account creation, attackers can create hundreds or even thousands of accounts in a short period of time.

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To detect fake account creation attacks, security teams can look for anomalous behavior such as an inhuman speed (like sending out 100 friend requests or posts a minute) or other suspicious activity patterns like flurry of activities without logical breaks, or the use of uncommon user agent strings, CURL or Python scripts, or headless browsers. They can also look for a high number of password collisions amongst a group of accounts. This is because fake accounts bots are likely to use the same password for all their accounts so large numbers of identical passwords among a group of accounts indicate that they are probably controlled by the same actor.

Lastly, some of the most sophisticated fake account bots employ techniques to obfuscate their activity over time to make it more difficult for businesses to identify them. For example, they may use a range of different email domains to hide the fact that they are using the same email addresses. They might also divide their cohorts into different groups over time to prevent detection through username pattern analysis.