So I just got an email from my VISA company (
chase.com). Rspamd flagged it due (primarily) to FUZZY_DENIED (which got a score of 7.5). I learned it as ham, but it is still flagged because the number was so high. Here learn_ham score:
Results for file: 1460049752.M618792P7992.mailserver,S=9771,W=9990:2,S (0.326 seconds)
[Metric: default]
Spam: true
Score: 10.50 / 15.00
Action: add header
Symbol: BAYES_HAM (-2.99)[99.99%]
Symbol: DMARC_POLICY_REJECT (2.00)[
alertsp.chase.com]
Symbol: FUZZY_DENIED (7.50)[1:76b441a91d:0.62]
Symbol: HFILTER_HELO_UNKNOWN (2.00)
Symbol: MIME_HTML_ONLY (1.00)
Symbol: R_DKIM_REJECT (1.00)[
alertsp.chase.com]
Symbol: URIBL_BLOCKED (0.00)[
chase.com.multi.uribl.com]
Message-ID:
1959231193.15198025.1460...@cigp02b4a009.svr.us.jpmchase.netSorry, the original scrolled off the screen. What is the best way to handle this? Reduce the scoring for fuzzy matches? Whitelist these senders instead? If the second, I have a relatively small number of senders I'd like to whitelist. Is the best way to have a multimap rule that sets a large negative score? Set 'want_spam = yes' or whatever? Thanks...