I just want to clarify this fact. I have seen contradictory statements posted. I am going to have users forward received spam and ham to respective accounts.
Don't, unless they can forward the entire original message, complete with original headers, as an attachment.
Do I need to separate the original message from the forwarded message?
The message must be _exactly_ the same as it originally was, headers and all. Even very subtle changes can cause the bayes engine to learn things you might not expect. You want it to learn about ham and spam, not about forwarded message formats.
I can understand not having to separate a message flagged as spam that is actual ham, because sa-learn knows what to do with it.
You don't need to strip any of SA's own modifications, no.. but you do need to strip anything added when your user re-forwarded the message. It must be either in the same format as when it entered SA, or the same format as when it exited SA.
But, when a message was not flagged as spam, but is spam and a user forwards it to an account to for sa-learn to learn from, does sa-learn think that the user that forwarded the message is a spammer? How does this work?
Well, it doesn't learn the user.. rather it learns "any forwarded message is spam". "any message with message headers similar to the ones generated by this users mail client is spam". You get the picture.
You cannot forward email and have learning work just by forwarding.. period.
When you pass the message to sa-learn, the headers, including the Recieved: headers, must be the same.
SpamAssassin's bayes engine does not just examine bodies, it examines headers too. The message must be a verbatim duplicate of the original. Neither it's body, nor headers may be modified in any way.
This is also covered in the FAQ: http://spamassassin.taint.org/faq/index.cgi?req=show&file=faq05.003.htp
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