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Old 03-08-2010, 12:46 PM   #1
mgillespie
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Registered: Mar 2010
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Problems with SpamAssassin accuracy


Hi, my Spamassasin use to work very well, however recently, it's been really poor.

For example:

Code:
X-Spam-Checker-Version: SpamAssassin 3.3.0 (2010-01-18) on sheeva.ddddddd.plus.com
X-Spam-Status: No, score=0.3 required=5.0 tests=FORGED_YAHOO_RCVD, FREEMAIL_FROM,RCVD_IN_DNSWL_LOW,TVD_SPACE_RATIO,T_TO_NO_BRKTS_FREEMAIL autolearn=disabled version=3.3.0
X-Spam-Report: * -0.7 RCVD_IN_DNSWL_LOW RBL: Sender listed at http://www.dnswl.org/, low *	  trust *	  [212.159.10.4 listed in list.dnswl.org] *  0.0 FREEMAIL_FROM Sender email is freemail (vicky12[at]yahoo.com) *  1.0 FORGED_YAHOO_RCVD 'From' yahoo.com does not match 'Received' headers *  0.0 TVD_SPACE_RATIO TVD_SPACE_RATIO *  0.0 T_TO_NO_BRKTS_FREEMAIL T_TO_NO_BRKTS_FREEMAIL

Subject: MedicalStore******Percocet_Vicodin!!

http://bestsecmedbb14.com
This is on a Sheevaplug, an embedded system, so I have to keep my rulesets sensible, I don't have the resources to do huge amounts of spamming, however I do have these channels:

Code:
updates.spamassassin.org
khop-bl.sa.khopesh.com
khop-blessed.sa.khopesh.com
khop-general.sa.khopesh.com
khop-sc-neighbors.sa.khopesh.com
sought.rules.yerp.org
90_2tld.cf.sare.sa-update.dostech.net

72_sare_redirect_post3.0.0.cf.sare.sa-update.dostech.net
70_sare_bayes_poison_nxm.cf.sare.sa-update.dostech.net
70_sare_html0.cf.sare.sa-update.dostech.net
70_sare_adult.cf.sare.sa-update.dostech.net
99_sare_fraud_post25x.cf.sare.sa-update.dostech.net
70_sare_oem.cf.sare.sa-update.dostech.net
70_sare_genlsubj0.cf.sare.sa-update.dostech.net
70_sare_unsub.cf.sare.sa-update.dostech.net
70_sare_obfu0.cf.sare.sa-update.dostech.net
70_sare_header0.cf.sare.sa-update.dostech.net
70_sare_specific.cf.sare.sa-update.dostech.net
70_sare_obfu1.cf.sare.sa-update.dostech.net
70_sare_spoof.cf.sare.sa-update.dostech.net
 
Old 03-08-2010, 03:16 PM   #2
unSpawn
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You have autolearn disabled. (To test if autolearning works for you you could load the rule set on another machine and make it handle any spam you've still got.) You should probably submit the message to sa-learn. RCVD_IN_DNSWL_LOW RBL subtracted 0.7 from the final score (should you really use a WL?), you could up the FORGED_YAHOO_RCVD to say 2.0 and maybe the FREEMAIL_FROM. The others I don't know about and I don't know if your Bayes database or rule set is any good.
 
  


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