Hi, > pretty high mainly due to DCC and BAYES_99.
Are you paying for DCC? I think we're over their limit and they blacklisted us long ago, lol. > I guess I have well trained Bayes. I think you just don't have many one-liner emails as a regular course of business? > 1.2 RCVD_IN_LASHBACK RBL: Received is listed in Lashback > usb.unsubscore.com > [204.29.186.60 listed in ubl.unsubscore.com] I forgot about this. I have it in postscreen (+1) but now also added it in SA. > 2.2 RCVD_IN_SORBS_SPAM RBL: SORBS: sender is a spam source We do have some in SORBS, but only score it 0.5. Do you really recommend scoring it so high? > 0.0 OS_UNKNOWN Relay runs on unknown OS That's an interesting one. Fingerprinting? > 1.2 FREEMAIL_FROM Sender email is commonly abused enduser mail This is also scored *much* lower here - we have many freemail senders. The default score is 0.001, so you must have changed it. > -2.2 RCVD_IN_SENDERSCORE_90_100 Senderscore.org score of 90 to 100 For 90_100, I think we're only subtracting -0.2. > 2.2 ENA_DIGEST_FREEMAIL Freemail account hitting message digest spam > seen by the Internet (DCC, Pyzor, or Razor). The problem I always had with pyzor/dcc was that it works on very small blocks of text, no? Perhaps it works well for small messages, but isn't it problematic for larger messages? > 1.2 ENA_DIGEST_MULTIPLE_MSPIKE_H2 Dcc, Razor, or Pyzor hits from servers > listed in MSPIKE_H2 so add back points. > 0.0 ENA_BAD_SPAM Spam hitting really bad rules. > 2.2 ENA_BAD_SPAM_FREEMAIL Bad spam from freemail (hotmail, gmail, msn, > yahoo). These are interesting, but I suppose privileged...
