Hi I have a setup with MimeDefang and Spamassassin.
I reject mail scoring over 10 at SMTP level, then i tag the rest with X-Spam-Level Headers and a Subject header change - via md's action_change_header(), for spam scoring over 4.
So now I have a huge junk mail box (procmail filtered) full of spam.
I'm wondering can I feed this to sa-learn.
My doubt is over whether the changed Subject: headers and the X-Spam-Level header will confuse the bayes system.
for example, a mail in my junk mail box now may have a Subject of: **SPAM (6.50) this is spam ** where as when it arrives the subject would just be "this is spam"
surely this would confuse bayes, no?
any suggestions and help greatly appreciated, thanks.