On 07/02/2014 09:52 AM, motty cruz wrote:
I am using the following RBLs :
reject_rbl_client b.barracudacentral.org
<http://b.barracudacentral.org>,
reject_rbl_client zen.spamhaus.org <http://zen.spamhaus.org>,
reject_rbl_client bl.spamcop.net <http://bl.spamcop.net>,
reject_rbl_client all.spamrats.com <http://all.spamrats.com>
any other suggestions?
I think your best hope is the Bayesian filter. How is it being trained?
I have my own ideas on this, which I am possibly reconsidering. But you
can view the recent recommendations I have gotten on this list. My vote
still goes to having users do ongoing manual training with individual
bayes_* databases. There are a couple of people making pitches for
autolearn and system-wide databases. I don't think more DNSBL's are the
solution. As I mentioned in a previous post, you can't snipe spam with a
bazooka.
-Steve
