On 4/18/19 9:05 PM, @lbutlr wrote:
> On 18 Apr 2019, at 12:32, Sam wrote:
>> I guess I’ll have to raise some scores to make it learn.
> Reconsider. The message was clearly marked as spam with a score more than 6
> times the threshold. There is nothing here to train, SA did it
On 4/18/19 8:19 PM, @lbutlr wrote:
> On 18 Apr 2019, at 11:56, Sam wrote:
>> However, even with heavy spam, autolearn does not seem to engage in spam
>> mode.
> Why do you think it should?
>
> Did you check the message with spamassassin -D?
>
> You might
ney if you fill out a short form 1.0
FORM_FRAUD Fill a form and a fraud phrase 2.0 ADVANCE_FEE_2_NEW_MONEY
Advance Fee fraud and lots of money -0.1 TXREP TXREP: Score normalizing
based on sender's reputation |
What did I do wrong? What (probably trivial) bit did I miss?
Thanks in advance.
Sam
Debian.
Sam.
Le 20/03/2011 20:26, Sam a écrit :
Hi,
Some email on this list is crashing my spamassin daemon :
My server went down and I saw it was when spamd is starting to scan
for exemple the email from Matt Elson a few minutes ago.
When I start a debug with spamassassin -D , it freeze
Hi,
I run spamassassin quite fine on a debian-lenny system.
But I'm having a problem with sa-learn --spam and 1 message :
http://www.pastebin.org/48668
lenny:/home/samuel# sa-learn --dump magic
0.000 0 3 0 non-token data: bayes db version
0.000 0 112507
RW a écrit :
On Tue, 27 Oct 2009 13:33:14 +0100
Sam liste-spamassas...@ingescom.com wrote:
Hi,
I run spamassassin quite fine on a debian-lenny system.
But I'm having a problem with sa-learn --spam and 1 message :
...
But Bayes still show BAYES_50 :
If you find it surprising
Matus UHLAR - fantomas a écrit :
On Tue, 27 Oct 2009 13:33:14 +0100
Sam liste-spamassas...@ingescom.com wrote:
I run spamassassin quite fine on a debian-lenny system.
But I'm having a problem with sa-learn --spam and 1 message :
...
But Bayes still show BAYES_50 :
RW
John Hardin a écrit :
On Tue, 27 Oct 2009, Sam wrote:
Oct 27 00:28:24 lenny spamd[20399]: spamd: clean message (0.0/5.0)
for samueldu...@ingescom.com:102 in 4.8 seconds, 9803 bytes.
Oct 27 00:28:24 lenny spamd[20399]: spamd: result: . 0 -
BAYES_50,HTML_IMAGE_RATIO_08,HTML_MESSAGE,MISSING_MID
RW a écrit :
On Tue, 27 Oct 2009 15:01:39 +0100
Sam liste-spamassas...@ingescom.com wrote:
RW a écrit :
On Tue, 27 Oct 2009 13:33:14 +0100
If you find it surprising that that can happen, you don't understand
how Bayes works. It's a leaning system that's intended
Adam Katz a écrit :
Sam wrote:
I run spamassassin quite fine on a debian-lenny system.
But I'm having a problem with sa-learn --spam and 1 message :
But Bayes still show BAYES_50 :
The Bayesian algorithm adds tokens from messages it is taught. These
tokens are then added
John Hardin a écrit :
On Tue, 27 Oct 2009, Sam wrote:
John Hardin a écrit :
On Tue, 27 Oct 2009, Sam wrote:
And after learning with sa-learn, it is still saying bayes_50
whereas sa-learn told it has learned it.
Okay, basic Bayes troubleshooting questions:
(1) Are you running sa
hi all
our current setup.
primary mx for all out email domains installation: qmail,spamassasin,clamav
all email is inline scanned and then relayed to the internal server
for delivery to users mailbox
question.
is it possible to use sa-learn in this situtation ?
we still get a lot of spam and i'd
people on the blog are posting issues witht his --channel
On Fri, Nov 14, 2008 at 7:18 PM, Matus UHLAR - fantomas
[EMAIL PROTECTED] wrote:
On 14.11.08 16:44, Sam Ami wrote:
is there a definitive RELIABLE sa-update channel i can use to auto
update our rules ?
what do you mean reliable
hi all
is there a definitive RELIABLE sa-update channel i can use to auto
update our rules ?
using HTML which
ordinarily we'd match if the rendered HTML text was in plain-text.
Cheers,
Sam
--
Samuel Gundry
Messaging Administrator/Developer
Information Technology Services, Monash University
Michael Parker a écrit :
Sam Przyswa wrote:
Hi,
Is it possible to export a Bayes DB from a server and then append (not
restore) it to others servers ?
No, you generally can't combine two bayes databases that way. Best bet
is to pick the most complete one and use it.
For more
Hi,
Is it possible to export a Bayes DB from a server and then append (not
restore) it to others servers ?
Sam.
--
Ce message a été vérifié par MailScanner
pour des virus ou des polluriels et rien de
suspect n'a été trouvé.
the header checked mail, the score is only 1.2 for a learned spam
mail !?
What's wrong ?
Sam.
--
Ce message a été vérifié par MailScanner
pour des virus ou des polluriels et rien de
suspect n'a été trouvé.
Steve [Spamassasin] wrote:
I'm familiar with razor-report, for example - but it is a real pain to
mess about with this command line tool when all my mail is managed
remotely over IMAP
I haven't been using spamassassin for a while, but last I check,
spamassassin -r will report spam to
as such ;-).
- Sam Nilsson
can soft-blacklist,
blacklist, and soft-whitelist based on *envelope senders*, while SA's
black and whitelists work on message headers. SA also has the trainable
bayes engine. It all depends on what kind of features, performance,
flexibility, accuracy, etc. etc. etc. that you need.
- Sam
Sam Nilsson wrote:
SA still looks to its own config file (typically named local.cf) to run
and score all of its tests, it just doesn't get to rewrite the original
message.
More info here:
-- http://www.ijs.si/software/amavisd/
Sorry! More info here:
-- http://www.ijs.si/software/amavisd
as well
as all kinds of other scoring statistics.
- Sam Nilsson
as the 'vscan' user.
Take Care
- Sam
Hi Johan,
Johan Barelds wrote:
Op maandag 13 december 2004 21:08, schreef Sam Nilsson:
SpamAssassin version 3 is amazing when combined with network tests.
These are my top tests. This shows percentage of spam that each test
correctly marked as such:
98.21 % 275 : BAYES_99
96.43 % 270
this tagline as well. I'm pretty new to SA
and would appreciate hearing how your SA servers are blocking this one.
again v3.0.1
Thanks for the help!
- Sam Nilsson
Original Message
Date: 10 Nov 2004 18:43:48 -
Message-ID: [EMAIL PROTECTED]
Subject: *SPAM* Sincere Help Needed
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