People ;
I have a spamassassin installation in my box , detail as follows
[star]$ spamassassin -V
SpamAssassin version 3.1.8
running on Perl version 5.8.8
I want to deny the spam mails to the mailing lists running in
this box , how to do that
my MTA is postfix , mailman is the mailing list manager ,
sure so many experts here using their own setups for doing this ,
hope some of you , help with some tips & advice
Thank You
Note : I have procmailrc file and in that I specified for the 3 local
lists in my server box
I have 3 local lists ( in this machine with users email ids such as
[EMAIL PROTECTED], [EMAIL PROTECTED] etc )
Here I am usin postfix MTA , this is the config parameter in
postfix/main.cf
mailbox_command=/usr/local/bin/procmail -a "$EXTENSION"
following is my /usr/local/etc/procmailrc files contents
[star ~]$ cat /usr/local/etc/procmailrc
###############################################
PATH=$HOME/bin:/usr/bin:/bin:/usr/local/bin:.
MAILDIR=$HOME/Maildir/
DEFAULT=$MAILDIR/
:0fw
| /usr/local/bin/spamc -u spamassassin -s 256000
DROPPRIVS=YES
:0
* ^X-Spam-Flag.*YES
$MAILDIR.Junk/
:0
* ^TOlists
!devel,users,release
##########################################
and in /etc/aliases I have lines as follows
lists: spamassassin
// to redirect all mails to lists (local lists ; not the
mailman lists ) to //the
user spamassassin and that I defined in procmailrc above
devel: [EMAIL PROTECTED],[EMAIL PROTECTED]
users: [EMAIL PROTECTED],[EMAIL PROTECTED]
release: [EMAIL PROTECTED],[EMAIL PROTECTED]
###########################################################
Q 1 ) so please tell me How I can use the same setup for blocking
spams to mailman mailing lists (not only local lists such as
devel,users,release as in etc/aliases )
Q 2 ) Here in this box no local user mailboxes , so how to train
spamassassin by using sa-learn ?
hint : by copying spams from those users gmail/yahoo spam folders
as .txt files to a
temporay folder say BadMails in that server box
and do # sa-learn --spam ~/path to/BadMails folder right ?
any hints most appreciated :
Thank you
