sa-learn question

[Roman Serbski <me...@gmail.com>]

Dear all,

I have a question regarding sa-learn and SPAM messages that were
passed through SA.

My setup: SA 3.0.2 used with qmail-scanner 1.25.

There are some spam messages being not blocked by SA so as far as I
understood I can teach Bayes to learn them? But is it worth to feed
sa-learn with junk messages that already have headers modified?
For example I received a junk message, SA checked it and passed
through adding the following info to header:

X-Spam-Status: No, hits=3.2 required=3.5
X-Spam-Level: +++
X-Spam-Report: SA TESTS
0.0 HTML_MESSAGE BODY: HTML included in message
0.1 RAZOR2_CF_RANGE_51_100 BODY: Razor2 gives confidence level above
50% [cf: 100]
0.2 HTML_10_20 BODY: Message is 10% to 20% HTML
0.2 MIME_HTML_ONLY BODY: Message only has text/html MIME parts
-2.0 BAYES_20 BODY: Bayesian spam probability is 5 to 20% [score: 0.1392]
1.5 RAZOR2_CHECK Listed in Razor2 (http://razor.sf.net/)
0.1 RCVD_IN_SBL RBL: Received via a relay in Spamhaus SBL
[222.64.182.119 listed in sbl-xbl.spamhaus.org]
3.1 RCVD_IN_XBL RBL: Received via a relay in Spamhaus XBL
[222.64.182.119 listed in sbl-xbl.spamhaus.org]

Can I feed this message to sa-learn identifying it as SPAM?

Thank you for your time.

Roman

Re: sa-learn question

[Matt Kettler <mk...@comcast.net>]

At 01:35 AM 4/3/2005, Roman Serbski wrote:
>There are some spam messages being not blocked by SA so as far as I
>understood I can teach Bayes to learn them? But is it worth to feed
>sa-learn with junk messages that already have headers modified?

Yes, that's fine.. sa-learn is smart enough to undo any changes that the 
spamassassin configuration made.