This is a pretty old issue, but this is an interesting new implementation of an old idea. Using your browser history and by matching your browsing habits the site attempts to guess your gender with a weighting system according to the gender demographics for a list of fairly popular sites.
It’s not super accurate unless you are really stereotypical in your Internet usage habits, and it won’t work if you don’t accept any cookies and flush everything regularly.
One of the problems that’s plagued netizens since the inception of the world wide web that their browsers have a habit of leaking every site they’ve visited in the recent past. A quick stop at Blowupdolls.com, Mysecretbusinessproject.net or any other site is available to any webmaster with rudimentary coding skills.
It’s a pretty neat idea, I like the innovative thoughts involved and I really do wonder how else this could be used.
It could be the next way of harvesting data online, imagine if any of the huge sites like Slashdot, Digg or the likes of Cnet started doing this how much data they could harvest!
It guessed me as 52% male….so does that mean I’m 48% woman? That’s a little scary.
Like it says in the article though, combine this with some geolocation + some other tricks…and that’s a whole lot of information about a passing surfer.
It’s perfectly viable that sites are already doing this, and no-one would even know.
Time for some NoScript?
*EDIT* – I found some code here that does this kind of history checking.
Source: The Register
- GHOST Vulnerability In glibc – Everything You Need To Know
- Flash Zero Day Being Exploited In The Wild
- OpenVAS 7 Released – Open Source Vulnerability Scanner
- Sandboxie – Sandbox Your Browser / Software / Programs In Windows
- Google Safe Browsing Extension for Firefox & Netcraft Toolbar – Anti-Phishing
- KrbGuess – Guess/Enumerate Kerberos User Accounts
Most Read in Exploits/Vulnerabilities:
- Learn to use Metasploit – Tutorials, Docs & Videos - 229,356 views
- AJAX: Is your application secure enough? - 119,383 views
- eEye Launches 0-Day Exploit Tracker - 85,189 views