I have created a newsletter that will be sent tomorrow for one of our clients but I am having an issue where it is being caught in the spam filter. The Bayesian spam is being listed as 99%! How do I fix this? I do not understand what needs to be done to fix this issue of the Bayesian Spam.
I am using PHPList for my opt-in, opt-out and most of the email is in html format.
Can someone explain how to fix these issues below?
pts rule name description
---- ---------------------- --------------------------
3.5 BAYES_99 BODY: Bayesian spam probability is 99 to 100%
[score: 0.9999]
1.0 EXTRA_MPART_TYPE Header has extraneous Content-type:...type= entry
0.1 RDNS_NONE Delivered to trusted network by a host with no rDNS
2.6 HTML_OBFUSCATE_10_20 BODY: Message is 10% to 20% HTML obfuscation
0.0 HTML_MESSAGE BODY: HTML included in message
-1.8 AWL AWL: From: address is in the auto white-list
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These are the scores that hit for the html message :-
score=3.603 required 5
BAYES_50 0.00
EXTRA_MPART_TYPE 1.00
HTML_MESSAGE 0.00
HTML_OBFUSCATE_10_20 2.60
You have lots of stuff like this :-
<td align="left" width="155"><img style="BORDER-RIGHT: #000000 1px solid; BORDER-TOP: #000000 1px solid; BORDER-LEFT: #000000 1px solid; BORDER-BOTTOM: #000000 1px solid" height="95" alt="" width="125" border="0" name="img1" src="http://www.badruttspa
If you can reduce the amount of html code then you should be able to get the obfuscation down from the 10-20% to the 5%-10% which will reduce the score to about 0.6.
Received: from poodle.mypuredata.com (poodle.mypuredata.com [198.173.64.41])
This looks fine.
I would go to http://www.dnswl.org and register yourself on that free dns whitelist.
If anything its a bit worse. The backhair and chickenpox rules try to match text which should never appear next to each other. When you have almost random looking parts to unsubscribe links the odd one of these rules matching is almost unevitable.
score=4.701, required 5
BAYES_00 -0.50,
EXTRA_MPART_TYPE 1.00,
HTML_MESSAGE 0.00,
HTML_OBFUSCATE_10_20 2.60,
J_BACKHAIR_22 1.00,
J_CHICKENPOX_32 0.60)
Bayes does not automatically learn something as spam unless the spam score is over 20. Bayes on my system was 50% sure the first time and 0% the second time so it does not look like bayes will be a problem for you.
I think your major problem is the large amount of html code you are using in order to do the fancy layout.
I take it you have applied to DNSWL and that will help when it takes effect in a couple of days.
You can also get paid for services such as Habeas. Full details on my website at http://www.gbnetwork.co.uk
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by: grbladesPosted on 2007-10-25 at 01:08:48ID: 20145812
Bayes is an auto training system so if it thinks it is spam on your system it might not on another.
Bayes works by keeping a record of tokens (typically words and other characteristics) and the number of spams and non-spams they occur in. The more words you have which mostly occur in spam the higher the bayes score will be.