pASSWORD tYPOS and How to Correct Them Securely
Rahul Chatterjee, Anish Athayle, Devdatta Akhawe, Ari Juels, Thomas Ristenpart
Abstract
We provide the first treatment of typo-tolerant password authentication for arbitrary user-selected passwords. Such a system, rather than simply rejecting a login attempt with an incorrect password, tries to correct common typographical errors on behalf of the user. Limited forms of typo-tolerance have been used in some industry settings, but to date there has been no analysis of the utility and security of such schemes. We quantify the kinds and rates of typos made by users via studies conducted on Amazon Mechanical Turk and via instrumentation of the production login infrastructure at Dropbox. The instrumentation at Dropbox did not record user passwords or otherwise change authentication policy, but recorded only the frequency of observed typos. Our experiments reveal that almost 10% of failed login attempts fail due to a handful of simple, easily correctable typos, such as capitalization errors. We show that correcting just a few of these typos would reduce login delays for a significant fraction of users as well as enable an additional 3% of users to achieve successful login. We introduce a framework for reasoning about typo-tolerance, and investigate the seemingly inherent tension here between security and usability of passwords. We use our framework to show that there exist typo-tolerant authentication schemes that can get corrections for "free": we prove they are as secure as schemes that always reject mistyped passwords. Building off this theory, we detail a variety of practical strategies for securely implementing typo-tolerance.
Ask about this paper
Your agent reads all of it.
Lune indexed this paper to the last equation, along with the top-tier papers that cite it. Ask a question and the answer quotes them.
Your agent calls
Luneget_paper_fulltext
Free to start. No credit card required.
Terminal
Install the CLIlune papers fulltext f2d24e8d-db91-4c82-81cc-b3ad92c447f7Cited by top-tier papers10
- Beyond Credential Stuffing: Password Similarity Models Using Neural NetworksBijeeta Pal, Tal Daniel, Rahul Chatterjee, Thomas RistenpartS&P 2019 · 100 citations
- How to Attack and Generate HoneywordsDing Wang, Yunkai Zou, Qiying Dong, Yuanming Song et al.S&P 2022 · 45 citations
- The TypTop System: Personalized Typo-Tolerant Password CheckingRahul Chatterjee, Joanne Woodage, Yuval Pnueli, Anusha Chowdhury et al.CCS 2017 · 25 citations
- Using Amnesia to Detect Credential Database BreachesKe Coby Wang, Michael K. ReiterUSENIX Security 2021 · 18 citations
- Distinguishing Attacks from Legitimate Authentication Traffic at ScaleCormac Herley, Stuart E. SchechterNDSS 2019 · 15 citations
Related papers
- Don't Forget the Stuffing! Revisiting the Security Impact of Typo-Tolerant Password AuthenticationSena Sahin, Frank LiCCS 2021 · 13 citations
- A Large-Scale Measurement of Website Login PoliciesSuood Abdulaziz Al-Roomi, Frank LiUSENIX Security 2023
- PhraseFlow: Designs and Empirical Studies of Phrase-Level InputMingrui Ray Zhang, Shumin ZhaiCHI 2021 · 12 citations
- Exploring the Effect of Music on User Typing and Identification through Keystroke DynamicsLukas Mecke, Assem Mahmoud, Simon Marat, Florian AltCHI 2025 · 1 citation
- Measuring Website Password Creation Policies At ScaleSuood Alroomi, Frank LiCCS 2023 · 15 citations
