On Fri, Dec 05, 2008 at 12:53:20AM +0100, Jon Essen-Moller wrote: the mail was in HTML, so it's basically unreadable. text please.
I did get out of it: "I wish to check a specific mail address and see if many mails are classified as spam that are sent to that address.<br>" It sounds like you want SA statistics instead of information out of Bayes. SA doesn't keep track of this kind of information. You probably want to take a look at your mail log (or wherever the appropriate location is for however you run SA) to get that kind of information. For example: Nov 30 04:03:08 eclectic postfix/smtpd[617]: EF297AF143: client=p4FCCB2A7.dip.t-dialin.net[79.204.178.167] Nov 30 04:03:09 eclectic postfix/cleanup[608]: EF297AF143: message-id=<[EMAIL PROTECTED]> Nov 30 04:03:09 eclectic postfix/qmgr[12948]: EF297AF143: from=<[EMAIL PROTECTED]>, size=1814, nrcpt=2 (queue active) Nov 30 04:03:10 eclectic postfix/local[32692]: EF297AF143: to=<[EMAIL PROTECTED]>, orig_to=<[EMAIL PROTECTED]>, relay=local, delay=2, status=sent (delivered to command: /usr/bin/procmail -a "$EXTENSION") Nov 30 04:03:17 eclectic postfix/local[917]: EF297AF143: to=<[EMAIL PROTECTED]>, orig_to=<[EMAIL PROTECTED]>, relay=local, delay=9, status=sent (delivered to command: /usr/bin/procmail -a "$EXTENSION") Nov 30 04:03:17 eclectic postfix/qmgr[12948]: EF297AF143: removed So if I was interested in mails to [EMAIL PROTECTED], this would come up, and I see the message-id in there. Then, since I use spamd, I can figure out what the results were: Nov 30 04:03:10 eclectic spamd[336]: spamd: result: Y 17 - BAYES_99,DCC_CHECK,DIGEST_MULTIPLE,DRUGS_MUSCLE,FB_CIALIS_LEO3,FB_GET_MEDS,FR_ALMOST_VIAG2,FUZZY_MEDICATION,FUZZY_PRICES,RAZOR2_CF_RANGE_51_100,RAZOR2_CF_RANGE_E8_51_100,RAZOR2_CHECK,RCVD_IN_PBL,RDNS_DYNAMIC,VIA_GAP_GRA scantime=1.5,size=1964,user=felicity,uid=501,required_score=5.0,rhost=localhost,raddr=127.0.0.1,rport=33858,mid=<[EMAIL PROTECTED]>,bayes=1.000000,autolearn=disabled Your system may vary entirely. -- Randomly Selected Tagline: "The goal of computer science is to build something that will last at least until we're finished building it." - Unknown
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