Hi ML,
I use SA 2.55 and have updated some perl modules
(libnet, HTML-Parser ...).
Now SA doesn't check the Bayes database and most
spam gets through. Is there a problem with 2.55 and
newer perl modules ?
Thx
- Michael
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Hi
> RC3 is working great! I have noticed a huge improvement on my production
> server. I'm the same as you are, normally I would not do this in
> production, but the benefit from using 2.6 over 2.55 was enough for me to
> take the plunge.
hmmm .. the SA page only links to RC2 .. is RC3 the curr
Hi,
> Try upgrading to 2.60, it's much better at parsing these messages. That
> spam is using a trick which makes the message body invisible to SA, it's
> fixed in 2.60.
hmpf ... isn't 2.60 only a RC ? I'm a little bit afraid of
upgrading on my production server.
- Michael
--
Hi,
I often receive Spam with a link includes "cid:pic.gif";.
I tested a simple rule:
body CIDPIC
/cid:pic1.gif|cid:pic.gif|cid:picture.gif/
describe CIDPIC Catch them all
score CIDPIC 2.5
When I copy the sourcecode from the html mail and
test it, it works. But when the m
Hi,
the docs at SA site have changed. Is that only a
doc update or is it now for 2.60 ? I'm interested in
the trusted networks feature.
If it's for 2.60, is there a release date planned ?
Thx
- Michael
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Dear ML,
perhaps this is not the right ML but does anybody got
expierence with SA and amavisd-new ? How can I
prevent that a Spammer uses as a Sender an internal
address like:
[EMAIL PROTECTED] -> [EMAIL PROTECTED]
I always get the message "SPAM FROM LOCAL".
Whitelisting is shit cause it's Spam.
From: "Simon Byrnand" <[EMAIL PROTECTED]>:
> > Hi ML,
> >
> > I've set auto_learn_threshold_spam to 14.0.
> > My Q. is, when I got a Spam e.g. from @valodata.com
> > it gets about 10.0, then auto_learn will not learn from this,
> > so I set the domain to manual blacklist that it gets +100.
> > Will
Hi ML,
I've set auto_learn_threshold_spam to 14.0.
My Q. is, when I got a Spam e.g. from @valodata.com
it gets about 10.0, then auto_learn will not learn from this,
so I set the domain to manual blacklist that it gets +100.
Will then SA learn from this Spam ? I think so, but I'd
like to hear a "de
Hi ML,
we use SA on a Mail-GW and works fine ! We only use
auto-learn and don't feed the bayes DB manually. My problem
is that when a spammer sends spam to a postbox which doesn't
exist, the "postmaster" sends the mail back over our relayer
and then the bayes DB learns that mails from this intern
