Know their Customers: An Empirical Study of Online Account Enumeration Attacks - Archive ouverte HAL
Article Dans Une Revue ACM Transactions on the Web Année : 2024

Know their Customers: An Empirical Study of Online Account Enumeration Attacks

Résumé

Internet users possess accounts on dozens of online services where they are often identified by one of their e-mail addresses. They often use the same address on multiple services and for communicating with their contacts. In this paper, we investigate attacks that enable an adversary (e.g., company, friend) to determine (stealthily or not) whether an individual, identified by their e-mail address, has an account on certain services (i.e., an account enumeration attack). Such attacks on account privacy have serious implications as information about one’s accounts can be used to (1) profile them and (2) improve the effectiveness of phishing. We take a multifaceted approach and study these attacks through a combination of experiments (63 services), surveys (318 respondents), and focus groups (13 participants). We demonstrate the high vulnerability of popular services (93.7%) and the concerns of users about their account privacy, as well as their increased susceptibility to phishing e-mails that impersonate services on which they have an account. We also provide findings on the challenges in implementing countermeasures for service providers and on users’ ideas for enhancing their account privacy. Finally, our interaction with national data protection authorities led to the inclusion of recommendations in their developers’ guide.
Fichier principal
Vignette du fichier
Maceiras2024TWeb.pdf (3.89 Mo) Télécharger le fichier
Origine Publication financée par une institution
Licence

Dates et versions

hal-04562671 , version 1 (12-05-2024)

Licence

Identifiants

Citer

Maël Maceiras, Kavous Salehzadeh Niksirat, Gaël Bernard, Benoît Garbinato, Mauro Cherubini, et al.. Know their Customers: An Empirical Study of Online Account Enumeration Attacks. ACM Transactions on the Web, 2024, 18 (3), pp.37:1-37:36. ⟨10.1145/3664201⟩. ⟨hal-04562671⟩
30 Consultations
23 Téléchargements

Altmetric

Partager

More