Am 17.09.2014 um 14:43 schrieb RW: > On Wed, 17 Sep 2014 11:50:43 +0200 > Reindl Harald wrote: > >> what i want to achieve is 4 levels of negative score for >> both - FROM and TO just because it makes sense to handle >> some mailing lists different without whitelist them completly >> and the same for different RCPT, one user is living in asia >> and needs complete different settings >> >> there is also a need to handle "securityfocus" ML different >> to "postfix-users" without completly whitelist them > > A lot of people don't put mailing lists through Spamassassin, most of > them have already been spam filtered, and to get the best results you > have to extend your internal network and maintain it. And in my > experience most list related spam is off-list anyway.
that's a mail gateway delivering to different destination servers for a bundle of domains - the problem is not list-related spam, the problem is get a high score for discussions about spam which you don't want to feed as positive into bayes don't get me wrong but i spent really a lot of hours to consider the environment which is nearly perfect and designed around 10 years expierience with the userbase and other solutions just some wishes for extensions i would like to be able to do myself and all about scoring "whitelist_from" is not enough or goes too far SA is only a very small piece of the complete system >> finally offer in the existing webinterface (self-written) a drop-down >> for each listed address/domain as well as define the score for each >> level in the general settings to adjust >> >> as usal the cronjob builds "local.cf" from a template and that >> settings > > If you are going to autogenerate them into local.cf you can generate > header rules just as easily. The chief advantage of what you are > asking for would be for users to set in ~/.spamassassin. running as milter with a milter user and it's global bayes there is no users setting - just a global system maintained centralized >> score USER_IN_MOST_SPAM_FROM -4 >> header USER_IN_MOST_SPAM_FROM >> eval:check_from('USER_IN_MOST_SPAM_FROM') >> >> score USER_IN_ALMOST_ALL_SPAM_FROM -6 >> header USER_IN_ALMOST_ALL_SPAM_FROM >> eval:check_from('USER_IN_ALMOST_ALL_SPAM_FROM') > > The terminology seems a bit defeatist. Would you really let through > almost all spam at a threshold of 11.0? forget the terminology and the score points the point what i am asking for is removed in the quote: * implement several "WL" score levels based on sender * implement several "WL" score levels based on RCPT
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