On Fri, 2005-03-18 at 14:46 +0000, David Woodhouse wrote:
> On Fri, 2005-03-18 at 10:36 -0400, Patrick O'Callaghan wrote:
> > Totally agree (I use SpamAssassin on the server), however Evo
> > currently has no way of controlling it. AFAIK, neither does any other
> > MUA.
> 
> Some MUAs have a way of graphically editing Sieve filters.

But not Evo.

>  Some are
> capable of feeding mails to sa-learn.That shouldn't be hard, and is
> about all you really need, surely?

Meaning you have to send the junk message back to the server, but to a
special "learn spam" address. Ditto for false positives. You don't gain
anything special from Sieve filters in this case; it's still a hack.

> I haven't looked into it much because I'm perfectly happy editing
> filters in a text editor, and because I don't do per-user Bayesian
> filtering.

We do. "One man's spam is another man's ham".

>  It's better to reject mail at SMTP time than to accept it and
> then _later_ decide you don't like it, and be left with the choice of
> either silently binning it or generating a bounce to a potentially
> innocent third party. And if you run SA at SMTP time, the message may
> have multiple recipients at multiple domains, some of which aren't
> local. So it's hard to do anything per-user, unless you play cunning
> tricks with giving 4xx deferrals for any second and subsequent user who
> has different SA settings to the first.

Our filtering is at delivery time, not SMTP time, since it's per-user.

> Running system-wide SA (and other heuristics and greylisting etc) seems
> to be perfectly sufficient without anything but the automatically
> learned Bayesian filtering, so I haven't really looked hard at getting
> feedback from the MUA to SA.

I guess it depends on your environment. I can't tell our community
(we're a university) "OK, I'm going to decide what incoming mail is spam
and you can all take it or leave it".

poc

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