Learning from learning: detecting account takeovers by identifying forgetful users
یادگیری از یادگیری: شناسایی حساب های حساب با شناسایی کاربران فراموش شده-2021
Credential-stuffing attacks are increasing in frequency, allowing threat actors to use data breaches from one source to perpetrate another. While multi-factor authentication remains a crucial preventative measure to protect against credential stuffing, the availability of credential data sets with contact information and the correlation with demographic data can allow threat actors to overcome it through interactive social engineering. Concurrently, alternative defence mechanisms such as network source profiling and device fingerprinting lose effectiveness as privacy-protecting technologies reduce the observable variability between legitimate and fraudulent user sessions.