i noted in a recent thread a suggestion to not feed bayes-poisoning
spam to sa-learn.
that's an interesting thought; and actually makes some initial sense to me.
is this, in fact, widely suggested/recommended?
e.g., if i have a blabby, bayes-poisoning spam that already scores high,
X-Spam-Status: score=11.5/4.0 autolearn=no
X-Spam-Report:
* 2.0 RELAY_FR Relayed through France
* 1.1 EXTRA_MPART_TYPE Header has extraneous Content-type:...type=
entry
* 0.0 DK_POLICY_SIGNSOME Domain Keys: policy says domain signs some
mails
* 0.0 BOTNET_NORDNS IP address has no PTR record
* 0.0 HTML_MESSAGE BODY: HTML included in message
* 1.5 BAYES_50 BODY: Bayesian spam probability is 40 to 60%
* [score: 0.5000]
* 1.2 SARE_GIF_ATTACH FULL: Email has a inline gif
* 0.7 MY_CID_AND_STYLE SARE cid and style
* 5.0 BOTNET The submitting mail server looks like part of a Botnet
should this be submitted to sa-learn? or simply discarded?
thanks.
