On 04/03/2019 3:33 am, Rory Campbell-Lange wrote:
On 02/04/19, Larry Rosenman via Exim-users ([email protected]) wrote:
On 04/02/2019 2:20 am, Rory Campbell-Lange via Exim-users wrote:
> On 01/04/19, Larry Rosenman ([email protected]) wrote:
> > On 04/01/2019 2:01 pm, Rory Campbell-Lange via Exim-users wrote:
> > > It's some years since I've spent time tweaking my exim setup to receive
> > > spam. I've forgotten any skills I might once have had in this area.
> > >
> > > I've gotten sick of getting 30+ spam emails a day and need to do
> > > something about it! I'd be grateful for some pointers to the
> > > state-of-the-art setup.
>
> Glancing at the docs under chapter 35, I guess my local users are
> "authenticated" due to our use of cram_md5. I'm giving your rules a go!
>
> I wonder also if my /etc/spamassasin/local.cf is right
>
> required_score 3.0
> score RP_MATCHES_RCVD -0.01
> bayes_auto_learn 0
> ifplugin Mail::SpamAssassin::Plugin::Shortcircuit
> endif # Mail::SpamAssassin::Plugin::Shortcircuit
>
> Required score seems quite a bit lower than 70 in Exim.
>
> Thanks again
> Rory
Please do *NOT* use the X-LERCTR header (that's my domain)....
Sorry about that Larry -- that was a test using your rules.
Thanks!
Also, to get a nice compact report, I have smmsp's user_prefs set to:
⌂68% [[email protected]:~] # cat user_prefs
clear_report_template
report SpamScore (_SCORE_/_REQD_) _TESTSSCORES(,)_
⌂68% [[email protected]:~] #
(smmsp is the user exim calls spamd as).
note also that $spam_score_int is the score * 10.
Thank you. My scores are improving
However I'm still getting all BAYES_OO scores as -1.9. I assume this is
because I've not yet trained sa-learn with enough spam. (I've trained
it
with several thousand spam messages).
BAYES_00 means it's HAM, you want to see if you are getting any BAYES_9*
hits for SPAM.
--
Larry Rosenman http://www.lerctr.org/~ler
Phone: +1 214-642-9640 E-Mail: [email protected]
US Mail: 5708 Sabbia Dr, Round Rock, TX 78665-2106
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