Hi
does *not always happen, but sometimes I got this:
*this is a spam in my quarantine folder...
<snip>
*** Qmail-Scanner Quarantine Envelope Details Begin ***
<snip>
spamassassin: 3.1.7. SPAM Found. Processed in 2.719401 secs)
Quarantine-Description: SPAM content refused by this network (5.8/5.0)
*** Qmail-Scanner Envelope Details End **
But, if I run "spamc -R < quarantined_email", spamassin reports only 2.8
hits for the same message...
Content analysis details: (2.8 points, 5.0 required)
pts rule name description
---- ----------------------
--------------------------------------------------
1.1 EXTRA_MPART_TYPE Header has extraneous Content-type:...type=
entry
1.2 HTML_IMAGE_ONLY_20 BODY: HTML: images with 1600-2000 bytes of words
2.1 TVD_FW_GRAPHIC_ID1 BODY: TVD_FW_GRAPHIC_ID1
-2.6 BAYES_00 BODY: Bayesian spam probability is 0 to 1%
[score: 0.0000]
0.0 HTML_MESSAGE BODY: HTML included in message
1.0 PART_CID_STOCK Has a spammy image attachment (by Content-ID)
Why this happens ?? How can I use sa-learn in this cases??
