On 2023-06-22 at 06:29:53 UTC-0400 (Thu, 22 Jun 2023 20:29:53 +1000)
Simon Wilson via users <si...@simonandkate.net>
is rumored to have said:
I find most DMARC reports I receive are flagged as spam by SA.
How do people work around this? I've trained Bayes, and that is
applying a -ve offset as expected, but they still end up at over 7.
The best solution for robot-generated mail to and from predictable
addresses are the welcomelist feature(s). You can use more_spam_to or
all_spam_to for reporting addresses, or welcomelist_auth for senders.
Also, if you get a lot of robotic mail I would recommend that you not
use Pyzor, Razor, or DCC. All of those are engines for detecting
similarities in mail and they do that very well with regularly formatted
mail that looks much the same across many recipients.
X-Spam-Status: Yes, score=7.215 tagged_above=-999 required=6.2
tests=[BASE64_LENGTH_78_79=0.1, BASE64_LENGTH_79_INF=1.502,
BAYES_00=-1.9, DCC_CHECK=1.1, DIGEST_MULTIPLE=0.293,
DKIMWL_WL_MED=-0.001, DKIM_SIGNED=0.1, DKIM_VALID=-0.1,
ENA_SUBJ_LONG_WORD=2.2, HTML_MESSAGE=0.001, LR_DMARC_PASS=-0.1,
MIME_BASE64_TEXT=1.741, MIME_HTML_MOSTLY=0.1, MPART_ALT_DIFF=0.79,
PYZOR_CHECK=1.392, RCVD_IN_DNSWL_NONE=-0.0001,
RCVD_IN_MSPIKE_H2=-0.001, SPF_HELO_PASS=-0.001, SPF_PASS=-0.001,
T_SCC_BODY_TEXT_LINE=-0.01, T_TVD_MIME_NO_HEADERS=0.01]
--
Simon Wilson
M: 0400 121 116
--
Bill Cole
b...@scconsult.com or billc...@apache.org
(AKA @grumpybozo and many *@billmail.scconsult.com addresses)
Not Currently Available For Hire
