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. > 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). -- ## List details at https://lists.exim.org/mailman/listinfo/exim-users ## Exim details at http://www.exim.org/ ## Please use the Wiki with this list - http://wiki.exim.org/
