News of the world
New Orleans
Spammers and con-men use the same tools to exploit even the suffering
of others. At the moment there is a small surge of SPAM pushing
all kinds of rumours (like oil shortage) and trying to steal money
of nice souls willing to donate to charities. Be warned.
Bayesian
filtering of SPAMs
For a long time now, I have been advising individual users to protect
themselves with a software based on Bayesian statistical techniques.
My prefered PC-Windows solution for this still goes to K9
from keir.net.
But the program at the origin of K9, POPfile,
now has a specific Windows version. I am going to evaluate it in
order to decide if it should go to my
list of prefered downloads.
Detailed analysis here.
Address theft by whois
whois services usually show the email address of the representatives
of the company registering a domain name. These addresses are systematically
exploited by spammers (mostly, to advertise web hosting services
priced higher than the regular competion).
My advice: always use a specialized junk address when registering
domain names. Technically, you shouldn't. Actually, nobody has been
using these data in years since they are mostly inappropriate, outdated
or plain false. there is no risk to redirect all the email arriving
to this address to dustbin@mydomain.example.com
Thanks to Fabien.
Paul Graham's plan
A (rather long) paper from Paul Graham about why fight against
SPAM will necesarily use content evaluation and preferably Bayesian
techniques.
I say the same thing for quite some time, but Paul is much clearer
and argumented than I could be.
A
plan for SPAM
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