On Jul 2, 2007, at 10:26 AM, Justin Mason wrote:
However as you note, you may be able to use the *absence* of a rule
hit as
a ham token. Also, you could add some informational rules matching
common innocent traits of nonspam mail, for the purpose of serving
as good
ham rules in this
On Jun 30, 2007, at 11:55 PM, Loren Wilton wrote:
Unfortunately I'm not on the SpamAssassin Bayes modules -- I wrote
my own Bayes Engine because I wanted to do that and then thought
about including the Rules results from SpamAssassin. I don't
know where this might be going, but it
On Jun 30, 2007, at 1:20 AM, Marc Perkel wrote:
Tom Allison wrote:
For some years now there has been a lot of effective spam
filtering using statistical approaches with variations on Bayesian
theory, some of these are inverse Chi Square modifications to
Niave Bayes or even CRM114
On Jun 30, 2007, at 4:46 AM, John Andersen wrote:
On Friday 29 June 2007, Tom Allison wrote:
It would be the Bayes process that determines the effective number of
points you assign for each HIT based on what it's learned about it
from you. So the tags of: ADVANCE_FEE_1, ADVANCE_FEE_2 would
For configuration options listed in perldoc Mail::SpamAssassin can I
put the settings into local.cf?
Mail::SpamAssassin::Conf says yes, but it doesn't say it applies to
args for Mail::SpamAssassin-new();
And what does 'save_pattern_hits' get me that I otherwise wouldn't have?
On Jun 30, 2007, at 8:07 AM, Loren Wilton wrote:
You have a bit of a chicken and egg problem at the start. Until
some learning takes place in the system.
Two possibilities. The rules exist and have scores. Assume they
are maintained, for whatever reason.
1.Until Bayes has enough
On Jun 30, 2007, at 2:55 PM, Bart Schaefer wrote:
On 6/29/07, Tom Allison [EMAIL PROTECTED] wrote:
The thought I had, and have been working on for a while, is changing
how the scoring is done. Rather than making Bayes a part of the
scoring process, make the scoring process a part
On Jun 30, 2007, at 6:29 PM, Loren Wilton wrote:
And after typing all this I'm thinking you might be right. But
part of this approach is to run all these rules in YES/NO fashion
and see if the probability is significant. For example: If I
tested for SOME_TEST=NO and found it was
OK, thanks.
I'm not using spamassassin or spamd.
I'm using Mail::SpamAssassin in a perl script.
What does '-x' do for Mail::SpamAssassin?
On Jun 28, 2007, at 9:23 PM, Duane Hill wrote:
On Thu, 28 Jun 2007, Tom Allison wrote:
cannot write to /var/www/.spamassassin/user_prefs: No such file
For some years now there has been a lot of effective spam filtering
using statistical approaches with variations on Bayesian theory, some
of these are inverse Chi Square modifications to Niave Bayes or even
CRM114 and other languages have been developed to improve the
scoring of
OliverScott wrote:
Assuming that you have managed to get SA to add headers to messages which is
thinks are spam, and are looking to add a header to ALL messages so you can
see what rules are firing on your HAM, then you can do the following. This
may not be what you are after, but may be of
cannot write to /var/www/.spamassassin/user_prefs: No such file or directory
failed to create default user preference file /var/www/.spamassassin/user_prefs
I never ever ever ever want to try to create a user_prefs file.
How do I make sure I never do this?
On a related note--
I have a mailing list with a single user who randomly bounces spam to
the mailing list because his filters tag it as spam.
His poorly performing spam filter (no clue if it's SA or not) is
affecting 100's or 1000's of users who generally want him hurt.
Additionally, he
Is there a way to put into a header (or something) all the rules that
here HIT in a message?
On Jun 25, 2007, at 7:42 PM, Matt Kettler wrote:
Tom Allison wrote:
Is there a way to put into a header (or something) all the rules that
here HIT in a message?
By default this will be in X-Spam-Status.
If they're not, can you let us know how you're calling spamassassin?
Some tools
I'm not sure how/if this is done.
But I was wondering if anyone has looked into decoding all the
charsets into utf8 for bayesian analysis.
octets is not readily visible to the user the way it's done today.
John Rudd wrote:
Matt wrote:
ExiScan has been part of exim for quite a while now. We reject spam
at SMTP
with exim and SA when it scores above 15. We have not, as of yet, had
a FP
near that high. The spams are logged in such a way it makes it easy to
create a report including the SA report,
CHALLENGE
All filtering software is written to score for results that equal
spam - catch the bad
SOLUTION
Make filtering software score for results that equal ham - uncatch
the good.
Your thoughts?
How can this method spend less time and energy? Aren't you going to build a
mirrored
what's that setting I need to get insanely long headers about what scored what
and with whom and why?
Tom Allison wrote:
I'm trying to initialize a database for Bayes from perl (DIY).
I took the advice of others and removed much of this approach and just decide to
try running Mail::SpamAssassin as is and let it create the database entry for
the specified user.
It simply will not create
I have what I'll refer to as a pre-alpha version of my project which I
originally dubbed Plan9 because I thought it might be a bad idea. ( Plan 9 from
Outer Space)
But it seems to work.
I'm looking for some hints/tips on how to test this stuff for the variety of
errors I will likely
Johnson, S wrote:
Has anyone written a web interface for end users in which they could go
through quarantined spam and release/whitelist on their own?
Not yet.
But that is something I'm actually trying to do.
What I'm working on would fall far short of the available features in
Bob McClure Jr wrote:
On Wed, Jan 24, 2007 at 09:01:58PM -0500, Tom Allison wrote:
Am I correct in understanding that I have to run sa-learn for every user
who is going to have a bayes token store?
If you are running per-user Bayes (nothing else makes much sense,
IMHO), yes, but only
I'm trying to initialize a database for Bayes from perl (DIY).
Using Test::More as a start I tried:
can_ok('Mail::SpamAssassin::BayesStore', ('tie_db_readonly'));
my $to = 'tom';
my $spamtest = Mail::SpamAssassin-new( {username = $to, debug='all'} );
isa_ok($spamtest, 'Mail::SpamAssassin');
I would like to suppress user_prefs and stick with a single site-wide
user_prefs.
I don't think I actually need to do much for this. But I get a lot of warnings.
I also want to be able to switch users for the bayes list (SQL) but continue
using the same prefs for all users.
If I call
[1174] dbg: bayes: using username: tallison
[1174] dbg: bayes: unable to connect to database: missing = after
bayes:192.168.0.100:5432 in connection info string
bayes_store_module Mail::SpamAssassin::BayesStore::PgSQL
bayes_sql_dsn DBI:Pg:bayes:192.168.0.100:5432
bayes_sql_username
NEVER MIND!!
I'm not paying attention to the ruddy docs!
Tom Allison wrote:
[1174] dbg: bayes: using username: tallison
[1174] dbg: bayes: unable to connect to database: missing = after
bayes:192.168.0.100:5432 in connection info string
bayes_store_module Mail::SpamAssassin::BayesStore
I'm actually trying to write a perl script to use Mail::SpamAssassin rather than
the spamassassin or spamc scripts that are already available.
So far, much of the website seems geared towards the end-use of spamassassin.
Besides cpan is there someplace that can help me navigate through
I just did an install of spampd on my debian box and am working my way through
the different configurations...
First, I found that /var/cache/spampd/awl had the wrong permissions so I changed
that and I stopped getting errors. Interestingly, I have AWL disabled. But I
guess it likes to
Tom Allison wrote:
I just did an install of spampd on my debian box and am working my way
through the different configurations...
First, I found that /var/cache/spampd/awl had the wrong permissions so I
changed that and I stopped getting errors. Interestingly, I have AWL
disabled. But I
Matt Kettler wrote:
Tom Allison wrote:
Tom Allison wrote:
I just did an install of spampd on my debian box and am working my
way through the different configurations...
First, I found that /var/cache/spampd/awl had the wrong permissions
so I changed that and I stopped getting errors
When using Mail::SpamAssassin with new( {debug = 'all'} ) or similar
How do you capture the output from the debug to syslog or other logging file?
I can run it via a command line but if I run Mail::SpamAssassin under a
daemon/fork process similar to Net::Server::PreForkSimple I can't seem
Theo Van Dinter wrote:
On Sun, Jan 21, 2007 at 07:17:14PM -0500, Tom Allison wrote:
When using Mail::SpamAssassin with new( {debug = 'all'} ) or similar
How do you capture the output from the debug to syslog or other logging
file?
Take a look at Mail::SpamAssassin::Logger. ie:
Mail
Theo Van Dinter wrote:
(I assume this message was also supposed to goto the users list since there
was nothing private in it, so cc'ing there.)
On Fri, Jan 19, 2007 at 03:33:27PM -0500, [EMAIL PROTECTED] wrote:
The thought I was struggling with is that in the MTA the content_filter
is told who
Nix wrote:
On 20 Nov 2006, Giampaolo Tomassoni spake thusly:
That's not even mentioning the metaprogramming and higher-order
programming techniques that we use extensively in SpamAssassin -- those
are basically *just not possible* in C/C++. ;)
Ops. What's this stuff? Let me know.
eval and
I was reading through the man pages about the use of a database for the storage
of bayesian tokens.
Is this a list that is global to the mail server, or something that is distinct
for each user of that mail server?
In other words -- will I have the exact same bayesian history in my token
Rick Macdougall wrote:
Tom Allison wrote:
I was reading through the man pages about the use of a database for
the storage of bayesian tokens.
Is this a list that is global to the mail server, or something that is
distinct for each user of that mail server?
In other words -- will I have
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