These days my bayesian engine is giving me a lots of false positive, although i keep on having a periodic expiry of my bayes database, still my bayes_seen is growing large (about which i read in Matt's post in th forum some time back). However now i am trying to investigate whether my Bayes is really poisoned or not. I did a sa-learn --dump data and got an output of the following kind. Can any one please help me understand the output.

0.000          0        108 1103190407  N:H*i:sk:NNfNNNc
0.978          2          0 1103188668  UNLIKE
0.009          0          6 1102997003  U*sambalpur
0.958          1          0 1103003309  H*M:OEBfa62
0.958          1          0 1103171817  Tins
0.049          0          1 1102985500  D*ms52.hinet.net
0.013        219      25539 1103193138  H*r:Unix
0.027         31       1717 1103192325  N:HX-Qmail-Scanner:N.NNNNNN
0.467        123        219 1103186329  PERSONAL
0.013          0          4 1103027319  HTo:U*Jesrine
0.985          3          0 1103099578  backfiring
0.017          0          3 1103031379  YÒk
0.049          0          1 1102972766  Wspecial
0.958          1          0 1102981540  sk:QHKBAZC

Also if my Bayes is poisoned can i safely replace the existing bayes db of this server with one of my another server as right now spams over there are being properly trapped.

--
Regards, Rakesh B. Pal
Emergic CleanMail Team.
Netcore Solutions Pvt. Ltd.


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