Hi,
One thing I do not understand regarding AWL and BAYES. When a message is
reported to me as spam and was not marked as spam, I test is using debug
before and after sa-learn. Each time I do this, BAYES_99 does hit, but
they will also include AWL.
1. Does anyone understand why this happens?
2. I also noticed that when using "spamassassin -D" on a message, I
sometimes see a nice report like below (2nd example) but other times it
doesn't show report formatted. Any ideas on this one?
Here are an example of two spam report headers for the same message.
Before sa-learn:
X-Spam-Status: No, score=3.982 tagged_above=-9999 required=5
tests=[ADVANCE_FEE_1=0, BAYES_60=1, SUB_HELLO=2.141, UNDISC_RECIPS=0.841]
X-Spam-Score: 3.982
X-Spam-Level: ***
After sa-learn:
Content analysis details: (5.2 points, 5.0 required)
pts rule name description
---- ----------------------
--------------------------------------------------
2.1 SUB_HELLO Subject starts with "Hello"
0.8 UNDISC_RECIPS Valid-looking To "undisclosed-recipients"
3.5 BAYES_99 BODY: Bayesian spam probability is 99 to 100%
[score: 1.0000]
0.0 ADVANCE_FEE_1 Appears to be advance fee fraud (Nigerian 419)
-1.2 AWL AWL: From: address is in the auto white-list
Thanks,
Randy Ramsdell
