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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