There is one important feature of Anti-phishing toolbars has missed :
The time gap between the launch of a phishing attack and it is been
recognized by the toolbars. It is the most profitable period for phisher
and most damage have done during that period. The quicker the toolbar
can respond, the better protection it can provide.

Although it would be hard to calculate the exact time gap, but it would
be possible to discover who generally respond first. This is still hard
to do, but it is feasible. Any body has better ideas of doing this?

It would be also useful to evaluate how the toolbars get updated. It
would also useful to point out whether the toolbar is database driven,
rule based or use other AI techniques. This information can reveal in
principle how well the toolbar can handle known and unknown phishing
attacks.

The last suggestion I would made is add an entry about which platform it
support.

-xun dong.

Abhishek Kumar wrote:
> Hi All,
>
> Recently I carried out an evaluation of some of the popular Anti-phishing
> toolbars. The toolbars were tested on a number of parameters such as,
> accuracy in detecting phishing URLs, alerting mechanism, detailed analysis
> of websites, help information provided to users etc. The results obtained
> from the evaluation can help the users in selecting the right anti-phishing
> toolbar.
>
> You can read the details of the evaluation on my blog on phishing at
> http://phishtrails.blogspot.com/. All flowers, brickbats and suggestions are
> welcome.
>
> Thanks
> Abhishek
>

[ reply ]