> My scores: > > Content analysis details: (10.4 points, 5.0 required) > > pts rule name description > ---- ---------------------- > -------------------------------------------------- > 0.1 FORGED_RCVD_HELO Received: contains a forged HELO > 0.0 DK_POLICY_SIGNSOME Domain Keys: policy says domain > signs some > mails > 1.7 SARE_PROLOSTOCK_SYM3 BODY: Last week's hot stock scam > 0.0 HTML_MESSAGE BODY: HTML included in message > 3.5 BAYES_99 BODY: Bayesian spam probability > is 99 to 100% > [score: 1.0000] > 0.5 RAZOR2_CHECK Listed in Razor2 (http://razor.sf.net/) > 1.5 RAZOR2_CF_RANGE_E4_51_100 Razor2 gives engine 4 confidence level > above 50% > [cf: 100] > 0.5 RAZOR2_CF_RANGE_51_100 Razor2 gives confidence level above 50% > [cf: 100] > 1.0 RCVD_IN_JANET_DUL RBL: Relay in JANET MAPS RBL+ DUL > [60.215.113.19 listed in > rbl-plus.mail-abuse.ja.net] > 1.6 RCVD_IN_BL_SPAMCOP_NET RBL: Received via a relay in > bl.spamcop.net > [Blocked - see > <http://www.spamcop.net/bl.shtml?60.215.113.19>]
How I have to do to get the score for the same message on my platform? > Looking at this my Bayes scores it highly, but so does a > rules from the SARE_STOCKS rule set. There are also a number > of network tests which get this. And so? How do you justify this? What I miss? Thanks, rocsca
