On 19.01.22 16:35, Xavier Humbert wrote:
My Thunderbird's Junk mailbox is full (75%) of spams, recognized by
TB's bayes engine, but not by SA's. They are quite often even scored
as negatives
Despite the monthly use of sa_learn from Junk mailbox, spams keep
being not flagged.
Example a false negative :
X-Spam-Status: No, score=-2.104 tagged_above=-999 required=5.5
tests=[AWL=0.642, BAYES_00=-1.9, DKIM_SIGNED=0.1, DKIM_VALID=-0.1,
DKIM_VALID_AU=-0.1, HEADER_FROM_DIFFERENT_DOMAINS=0.249,
HTML_IMAGE_RATIO_04=0.001, HTML_MESSAGE=0.001, MAILING_LIST_MULTI=-1,
MIME_QP_LONG_LINE=0.001, SPF_FAIL=0.001, SPF_HELO_NONE=0.001]
autolearn=ham autolearn_force=no
you need spamassassin training.
automatic training can easily lead to mistraining.
unfortunately, many mass-mailing providers are welcomelisted through many
DNSWLs and send mail that looks much like spam.
I use SA for more than 10 years, but in a very basic manner.
Is there some doc on how to harden SA ? Some useful plugins ? Bayes is
clearly not sufficient in my case
using razor/pyzor/DCC helps much.
--
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