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Posted by Beat Rubischon on Monday November 17, @11:03AM
from the spam-spam-spam dept.
Topic number one is currently spam, also known
as UCE,
Unsolicited Commercial Email. Everytime somone of you meets one of
our team, the first sentence is "I'm getting to much spam". Read on
to get an answer to this question.
Since a long time, we
use Spamassassin to filter out
most of the junk mails directly on our mailserver. Spamassassin uses
several tools to find out what is spam and what is normal mail.
Spamassassin ist quite effecitve - our statistic shows that near 70% of
the incoming mails are not delivered to the users but kept back by the
spamfilter.
One part of Spamassassin are Relay Black Lists like ORDB or SpamCop which contains known sources of
spam. Now the spammer trys to break down this lists - even more, a worm
called W32/Mimail.d@MM
is affecting those services. Read also the discussion about this worm on Symlink.
Another part are the personal whitelists and the collected data of the
baysian filters. They are used by Spamassassin to learn your typical mails
and to identify spam. Experienced users may use the command sa-learn on
our mailserver to teach the baysian filters - users who are connected with
POP or IMAP will see that Spamassassin learns sometimes that spam is a good thing...
You may destroy those files when you think, Spamassassin won't rate spam
right:
- on Linux and MacOS X open a terminal and type rm
~/.spamassassin/bayes_* ~/.spamassassin/auto-whitelist
- on Windows connect to your home, change your explorer settings to show
you all files including system and hidden files and change to the folder
.spamassassin. Remove the files bayes_msgcount, bayes_seen,
bayes_toks and auto-whitelist
We will continue to improve the our filters, but we cannot guarantee that
every spam will be kept in our mailserver.
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The Fine Print: The following comments
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Re: Spam in your mailbox
by dummkopf on Monday November 17, @11:58AM
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howdi,
just a quick note regarding variable setting for spamassassin. after a year of fiddling the combination which works best for me is:
required_hits 2.6
use_bayes 1
auto_learn 1
auto_learn_threshold_spam 6.0
auto_learn_threshold_nonspam -1.0
in addition, i modified some scores:
score MICROSOFT_EXECUTABLE 1.0
score USER_IN_BLACKLIST 150
score IN_REP_TO 0.0
with these combinations about 1 spam per every 2 weeks gets trough and about 1 email per 2 weeks is flagged as spam -- generally stuff from bugtraq.
Another recommendation: cancel other email addresses you might have. I have noticed that older email addresses (especially from the US) get a lot of spam. For example, my UCSC address would get about 30 spam messages per day (!).
Mask your email address on your webpage: For example, in my case, I do not write my email address on the page, but I use HTML character replacements which robots cannot read:
katzgraber@phys.ethz.ch
If you view the source of this page, you will see that you cannot see my email address in the html file.... : )
cheers, h.
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Re: Spam in your mailbox
by Tobias on Tuesday November 18, @09:13AM
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Invalid Format!
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Re: Spam in your mailbox
by Robert Jordens on Wednesday November 19, @12:54PM
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Hi admins!
Is the assertion from https://isg.phys.ethz.ch/static/archive/old_news/1023190621/index.html, that all mail that has been filtered as spam gets read and checked by you, still true?
Thanks!
Robert.
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Re: Spam in your mailbox
by Beat Rubischon on Saturday November 22, @08:07PM
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This is still true - but the check is no longer such careful as it should be. Too much spam will be kept by the filter :-(
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