Christopher M. Iarocci wrote on Fri, 20 Jun 2003 12:55:26 -0400:

> Auto White list shows up as AWL in the report.  I had this
> happen to me because I stupidly put my own domain in the whitelist by
> specifying [EMAIL PROTECTED]  Of course, every spammer that spoofed an address
> at my domain got a -100 score.
>

This is just expected, but I think that the auto-learn option should be 
changed to not learn any whitelist or blacklist or all_spam_to mails at all. 
After all, the whitelist doesn't necessarily indicate that the message in 
question is ham, it just means that I want to get all mail from it (or 
appearing to be from it). Also, the whitelist entry already is good enough 
in detecting the message as one to let thru/not tag, so why should I feed 
the Bayes learner with redundant material?
I wasn't aware about this problem until now. Consider the situation that you 
have a site-wide Bayes database (as needed by spamd) and only one user is on 
the all_spam_to (we don't have a machine where not at least one user is on 
it). Each spam he gets is automatically fed to Bayes as ham for all users. 
This is a horrible scenario! F.i., many people will have whitelisted this 
mailing list, because many mails contain spam examples. Every spam sent to 
it (which is twice a week or so) will get learned as ham.
I'm just lucky that our milter already bypasses spamd for white/blacklisted 
addresses, so it doesn't get a chance to auto-learn them. Others are 
possibly not so lucky. I think this function needs a rewrite in this area.


Kai

-- 

Kai Schätzl, Berlin, Germany
Get your web at Conactive Internet Services: http://www.conactive.com
IE-Center: http://ie5.de & http://msie.winware.org





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