Password Manager with Multi Factor Authentication based on URL Categorization

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V.Geetha
S.Brithvirajan
S.Pavithra
S. Thiyagarajan
P.Bharath

Abstract

Password managers reduce the difficulties in creating and remembering strong passwords. Password is the
most popular and simplest way in which users can authenticate themselves before accessing computer systems or
websites. Password management is organization and encryption of many personal passwords using a single login. Some
common risk involved in losing password is over the shoulder attack, Brute-force attack, Sniffing attack, Login spoofing
attack. Using Password manager adds another layer of security to our password and data protection. The project ensures
that it provides security from hackers as well as getting rid of remembering passwords. Websites and their services risk
breach attacks as much as we are and phishing attacks that tried to trick us into handing our password over. Even if some
companies are supposed to scramble our password once we enter it known as hashing, not all of them use powerful or
modern algorithms, making it simple for hackers to reverse the hashing and read our password in plain text. Others don't
care at all about hashing. That puts our accounts at risk of stealing passwords or putting our data at risk for identity theft
being used against us. The other problem is the huge number of passwords we have to remember. Banks accounts, social
media, email and other login credentials. It is much easy to use one password across the sites. But that makes credentials
more vulnerable. That’s why hackers take out the password from one breached site and try to log in to our account on
other sites. Using a password manager makes it much easier to create and store stronger passwords that are unique to
each site, that prevent credential stuffing attacks

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How to Cite
V.Geetha, S.Brithvirajan, S.Pavithra, S. Thiyagarajan, & P.Bharath. (2022). Password Manager with Multi Factor Authentication based on URL Categorization. IIRJET, 5(3). https://doi.org/10.32595/iirjet.org/v5i3.2020.113