Adryana Hutchinson (The George Washington University), Jinwei Tang (Clark University), Adam Aviv (The George Washington University), Peter Story (Clark University)

To protect their security, users are instructed to use unique passwords for all their accounts. Password managers make this possible, as they can generate, store, and autofill passwords within a user’s browser. Unfortunately, prior work has identified usability issues which may deter users from using password managers. In this paper, we measure the prevalence of usability issues affecting four popular password managers (Chrome, Safari, Bitwarden, and Keeper). We tested these password managers with their out-of-the-box settings on 60 randomly sampled websites. We show that users are likely to encounter issues using password managers during account registration and authentication. We found that usability issues were widespread, but varied by password manager. Common issues included password managers not prompting the user to generate passwords, autofilling web forms incorrectly or not at all, and generating passwords that were incompatible with websites’ password policies. We found that Chrome and Safari had fewer interaction issues than the other password managers we tested. We conclude by suggesting ways that websites and password managers can improve their compatibility with each other. For example, we recommend that password managers tailor their passwords to websites’ requirements (like Chrome and Safari), or adopt alphanumeric-only password generation by default (like Bitwarden).

View More Papers

On the Feasibility of CubeSats Application Sandboxing for Space...

Gabriele Marra (CISPA Helmholtz Center for Information Security), Ulysse Planta (CISPA Helmholtz Center for Information Security and Saarbrücken Graduate School of Computer Science), Philipp Wüstenberg (Chair of Space Technology, Technische Universität Berlin), Ali Abbasi (CISPA Helmholtz Center for Information Security)

Read More

A Preliminary Study on Using Large Language Models in...

Kumar Shashwat, Francis Hahn, Xinming Ou, Dmitry Goldgof, Jay Ligatti, Larrence Hall (University of South Florida), S. Raj Rajagoppalan (Resideo), Armin Ziaie Tabari (CipherArmor)

Read More

Heterogeneous Graph Pre-training Based Model for Secure and Efficient...

Xurui Li (Fudan University), Xin Shan (Bank of Shanghai), Wenhao Yin (Shanghai Saic Finance Co., Ltd)

Read More

LibAFL QEMU: A Library for Fuzzing-oriented Emulation

Romain Malmain (EURECOM), Andrea Fioraldi (EURECOM), Aurelien Francillon (EURECOM)

Read More