As always, as your site gets busier to real people, so does it to bots and this is going to result in increased SPAM.
Well, with a flick of a switch today, we have done our best to help you combat those nuisance emails. Based on SPAM scoring trained daily by our growing Bayesian database, emails are rated on their probability of being SPAM.
We have three levels of spam subject tagging.
- **Possible SPAM** // Spam score of 2.0 – 6.5
- **Medium SPAM** // Spam score of 6.5 – 15.0
- **Definite SPAM** // Spam score of 15+
Making use of the filter tool provided in webmail, you can dictate filters to manipulate future tagged email in which ever manner you desire.
If you want greater control, you can take advantage of the more detailed headers added to likely SPAM emails, so you can filter emails to whatever level you desire.
X-Spam-Flag: YES X-Spam-Score: 22.153 X-Spam-Level: ********************** X-Spam-Status: Yes, score=22.153 tagged_above=2 required=8.5 tests=[BAYES_50=0.001, HTML_IMAGE_ONLY_04=2.041, HTML_MESSAGE=0.001, HTML_SHORT_LINK_IMG_1=0.001, MIME_HTML_ONLY=1.457, RCVD_IN_BL_SPAMCOP_NET=1.96, RCVD_IN_PBL=0.905, RCVD_IN_SORBS_WEB=0.619, RCVD_IN_XBL=3.033, RDNS_NONE=0.1, SPF_HELO_FAIL=0.001, TVD_SPACE_RATIO=2.219, URIBL_AB_SURBL=1.86, URIBL_BLACK=1.955, URIBL_JP_SURBL=1.501, URIBL_OB_SURBL=1.5, URIBL_SBL=1.499, URIBL_WS_SURBL=1.5]
In the coming days, we will publish a screen cast in the knowledge-base outlining how you can apply your very own filters easily.