Hello everyone! I’m trying to set up spam filtering on my mail server. I enabled automatic learning in spamassasin using bayes. Everything is fine, except that even if bayes recognizes letters as spam by 99%, it adds only 5 points to the overall spam_score value. By default, spam_score should be 50% for a letter to end up in the spam folder, but all sorts of SPF, DKIm and other checks reduce this value. As a result, even if Bayes is 99% sure that it is spam, letters do not get more than 25-29% Spam_score. I would not like to change the default value, because I am afraid that the probability of incorrectly identifying ham letters will increase. I found another way, enabled the shortcurcuit plugin and the option in spamassasin that if Bayes score>99% it rejects the letter. But in this case I won’t see if the email was mistakenly recognized as spam. I would like to change this behavior and I see 2 possible ways:
- Change the added number of points in spamassasin for bayes (I didn’t find where to do this).
- Using the shortcurcuit plugin, do not discard spam emails, but move them directly to the spam folder.
I would like your help in understanding where I can change these settings. Thank you in advance.