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Browsing without being tracked via Fingerprinting

Your browser aggrigates a *lot* of data about your computer, and it won’t hesitate to provide all of this data to a nosy web site. In fact, if a website requests a large dataset of your computer’s configuration, concatinates it together, and passes it through a hash function, the resulting hash can be farily unique.

This procedure can be done (and is done) on seperate websites to track users and their activity across multiple websites. If the same procedure [get data, concatenate, hash()] produces the same hash value when done on 2 seperate websites, the website can be fairly certain that you’re the same user. This technique for tracking users is known as Browser Fingerprinting.

Just to get an idea of how effective this is, here’s an excerpt from the above-linked article:

[The EFF] found that, over their study of around 1 million visits to their study website, 83.6% of the browsers seen had a unique fingerprint; among those with Flash or Java enabled, 94.2%. This does not include cookies!

You can test the uniqueness of your browser’s “fingerprint” using this handy EFF tool.

There is a really great document descirbing techniques that could be used to prevent
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Google Chrome in 64-bit Sabayon Linux

I really should be studying for my stat exam tomorrow, but I was logging into my.ucf to download my lecture notes, and while Blackboard Learning System (the really shitty replacement for WebCT) was stuck in an infinite loading loop (most probably caused by incompetent javascript) I decided to finally get Google Chromium (which apparently has an excellent javascript engine) working on my Sabayon Linux desktop.

Michael Altfield

Hi, I’m Michael Altfield. I write articles about opsec, privacy, and devops ➡

About Michael


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