For what it's worth, on the system here I have a special directory on
the server set up, and when the users get a spam message they do a
'save as ascii text file' to that directory. sa-learn runs thru that
directory every half hour.  Just a thought.

Mike-


On Fri, 24 Nov 2006 15:39:35 +0000, you wrote:

>Matt,
>
>Thank you, that makes things a lot clearer, is there any way to utilise
>forwarded messages or is it a lost cause?
>
>Thanks
>Andrew
>
>On Fri, 2006-11-24 at 10:22 -0500, Matt Kettler wrote:
>> Andrew Sykes wrote:
>> > Hi,
>> >
>> > I'm writing some code to integrate SpamAssassin with Apache JAMES.
>> >
>> > I want to setup an address to allow me to pipe spam into sa-learn. I
>> > have a prototype of this working fine, but would like to allow various
>> > webmail client users to be able to forward spam messages to this
>> > address.
>> >
>> > As I have very limited understanding of how SA works, I don't want to
>> > end up blocking the forwarding addresses.
>> >
>> > If I whitelist the forwarding addresses, can I then simply pipe a
>> > forwarded spam from that address into sa-learn or is there more to it?
>> >   
>> 
>> There's MUCH more to it.. In fact, whitelisting won't really affect what
>> sa-learn does at all.
>> 
>> Generally speaking, forwarded messages are mostly useless to sa-learn.
>> Exactly how useless depends a bit on the mail client..
>> 
>> SA tokenizes MANY mail headers, including Received:, not just From: and
>> To. All the headers in a forwarded message are completely new, thus the
>> sa-learn process will be learning the headers generated by forwarding,
>> and not spam.
>> 
>> SA also tokenizes the body of the message. However, most mail clients
>> substantially modify the body of the message when you forward. 
>> Generally speaking they only preserve one of the mime sections in a
>> multipart/alternative message. Spammers FREQUENTLY have text/plain
>> sections which are dissimilar from the text/html. By forwarding you're
>> loosing all but one mime section (generally text/html is kept).
>> 
>> On top of this, most mail clients also insert "Forwarded message:" type
>> text into the body, and add Fwd: to the subject.
>> 
>> SA also tokenizes the in-body mime headers describing how the message
>> was encoded. However, when you forward, the mail client doing the
>> forward re-encodes things its own way. What might have been base64
>> encoded may now be quoted-printable, 8 bit, or 7 bit.
>> 
>> So, fundamentally, as far as bayes is concerned the forwarded message is
>> a completely different message than the original spam.
>> 
>> You can try this sometime by taking an original spam, and a forwarded
>> version of it and feed them both to spamassassin or sa-learn with "-D
>> bayes" added. This will cause the debug output to list all the tokens
>> used. Take a look at the tokens. .some are the same, but many are different.
>> 
>> 
>> 
>> 
>> 
>> 
>> 
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