Peter Lemioux wrote:
>You can modify the scoring of any rule by adding a file to 
>/etc/mail/spamassassin that changes the score for specific rules.  I 
>named mine ZZscores.cf so it will be read after the other files in this

>directory.  For instance,

>score HTML_MESSAGE_BODY                1.0

>That said, I'm not sure you'd want to fiddle with the scores on the
rules 
>this message hits.  From your original posting, we have

>1.7 RCVD_NUMERIC_HELO Received: contains an IP address used for HELO
>3.9 JV_Pharm1r_Drug BODY: partial word hidden in HTML in pill ad
>1.0 BAYES_60 BODY: Bayesian spam probability is 60 to 80%
>0.0 HTML_MESSAGE BODY: HTML included in message
>1.4 HTML_10_20 BODY: Message is 10% to 20% HTML
>0.4 MIME_HTML_ONLY BODY: Message only has text/html MIME parts

>Some other alternatives might be training your Bayes filter with
messages 
>like these so you get a higher score than BAYES_60 or giving a positive

>score to HTML_MESSAGE_BODY, though that can lead to false positives in 
>today's "look at my pretty email" world.

Could you explain how I can train Bayes?  What specifically do I need to
do to accomplish this?

>I also noticed that this was a GIF spam, but it's not scored as such. 
>You might want to look back over this list's archives and read about
the 
>FuzzyOCR and ImageInfo plugins.  Also the newest SARE stock rules might
>help.

I am sorry if I am asking this question and it is answered in the
archives.  I will try to go back and read those past posts but is there
a site where I can download the SARE stock rules and the plugins?  I am
aware of Rules Du Jour but whenever I have attempted to download rules
from there I have serious problems with memory on my system that causes
delivery problems with my email.  Can I just go to a website and click
on the stock rules SARE and copy the .cf file to my server?  Can I do
the same for downloading the plugins you mention?

>Of course, you could also lower your thresholds.  I tag at 4 and 
>quarantine at 8.  I review the decisions on messages in between these 
>values to make sure we're not generating false positives; seems to work

>okay here.

I have wondered about doing this.  I have read several posts about the
concerns about stopping legitimate emails.  We are a small state office
that for the most part does not have a great deal of unsolicited email
come through that is not spam.  Are there any issues I should think
about before I were to lower the threshold?

I appreciate the advice.

Steve

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