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Homework 3: Chrome extension for detecting Tabnabbing Attacks
Project due on November 19th in Blackboard
Tabnabbing is a form of phishing where malicious websites exploit the lack of
focus of their website to completely change their look and feel to imitate the
log-in page of a benign site. The key idea of tabnabbing is that users are trained
to carefully inspect a website when they first open it, but once it's open, it is
lost in a "sea of tabs". When users come back to the open site (that now may
look like the login page of Paypal or GMail) they do not inspect the browser
URL but assume that Gmail/Paypal has logged them out and proceed to log-in
again, thereby leaking their credentials to the attacker.
You can see a video of the attack here and read more about it here (at the time
of this writing, this link tries to demonstrate the attack when you lose focus but
fails because of a non-existing image. You can read the entire thing as long as
you don't switch tabs/windows while you are doing it.)
In this project, you are called to create a Chrome extension which will alert
users when a tabnabbing attack has taken place by detecting that the tab that the
user is looking at is different than it was before it "lost" focus.
High-level Description of steps:
1. While a user is browsing a webpage, take screenshots on regular
intervals, always keeping the last one.
2. Detect the change to a new tab (loss of focus).
3. When a user returns to the tab, take a fresh screenshot and compare the
two.
4. Highlight the changes on the page and provide a color coding in the task
bar to alert the user of potential changes
Notes
• There is a 2013 paper proposing the exact same system which is
available here. Even though I encourage you to read through it to
understand the system, I am encouraging you NOT to look at the source
code linked from that paper. If you do, you may end up developing
something very similar which will be flagged by our plagiarismdetecting
systems.
• The comparison algorithm that you use should do the comparison locally
via JavaScript. You are allowed to use existing libraries, such
as, Resemble.js
• You should be able to identify the parts of the page that have changed
versus the ones have remained the same and highlight the relevant
changes on the page. (simple approach: Split the page in squares,
compare each square with its previous version, color the modified
squares.)
• You should only give minimum permissions to the Chrome extension.
Homework 3: Chrome extension for detecting Tabnabbing Attacks
Project due on November 19th in Blackboard
Tabnabbing is a form of phishing where malicious websites exploit the lack of
focus of their website to completely change their look and feel to imitate the
log-in page of a benign site. The key idea of tabnabbing is that users are trained
to carefully inspect a website when they first open it, but once it's open, it is
lost in a "sea of tabs". When users come back to the open site (that now may
look like the login page of Paypal or GMail) they do not inspect the browser
URL but assume that Gmail/Paypal has logged them out and proceed to log-in
again, thereby leaking their credentials to the attacker.
You can see a video of the attack here and read more about it here (at the time
of this writing, this link tries to demonstrate the attack when you lose focus but
fails because of a non-existing image. You can read the entire thing as long as
you don't switch tabs/windows while you are doing it.)
In this project, you are called to create a Chrome extension which will alert
users when a tabnabbing attack has taken place by detecting that the tab that the
user is looking at is different than it was before it "lost" focus.
High-level Description of steps:
1. While a user is browsing a webpage, take screenshots on regular
intervals, always keeping the last one.
2. Detect the change to a new tab (loss of focus).
3. When a user returns to the tab, take a fresh screenshot and compare the
two.
4. Highlight the changes on the page and provide a color coding in the task
bar to alert the user of potential changes
Notes
• There is a 2013 paper proposing the exact same system which is
available here. Even though I encourage you to read through it to
understand the system, I am encouraging you NOT to look at the source
code linked from that paper. If you do, you may end up developing
something very similar which will be flagged by our plagiarismdetecting
systems.
• The comparison algorithm that you use should do the comparison locally
via JavaScript. You are allowed to use existing libraries, such
as, Resemble.js
• You should be able to identify the parts of the page that have changed
versus the ones have remained the same and highlight the relevant
changes on the page. (simple approach: Split the page in squares,
compare each square with its previous version, color the modified
squares.)
• You should only give minimum permissions to the Chrome extension.