No, I ran the spamassassin -d -t test as root. I'm not sure which user to 
run as. I'm using qmail on plesk. I have about 6 different users with 
the name "qmail" in them, plus a few "mail" related users as well as
"popuser".

Here is what's different between the two sets of headers. I threw the Bayes
part out as well because it's understandable. Does running as a different
user cause this part to be different as well? This message was manually run
through literally 1 minute later. 

Automated:
        *  1.5 URIBL_JP_SURBL Contains an URL listed in the JP SURBL
blocklist
        *      [URIs: opaqbay.com]
        *  1.1 URIBL_RHS_DOB Contains an URI of a new domain (Day Old Bread)
        *      [URIs: wildberyl.com]

Manually run as root:
        *  0.3 DNS_FROM_DOB RBL: Sender from new domain (Day Old Bread)
        *  0.8 RCVD_IN_DOB RBL: Received via relay in new domain (Day Old
Bread)
        *  0.9 URIBL_RHS_DOB Contains an URI of a new domain (Day Old Bread)
        *      [URIs: opaqbay.com]
        *  2.9 URIBL_JP_SURBL Contains an URL listed in the JP SURBL
blocklist
        *      [URIs: opaqbay.com]




Matt Kettler-3 wrote:
> 
> PileOfMush wrote:
>> Can someone help me understand why a message can come through and get
>> one score, then I can scan it again 1 minute later and get a much
>> higher score? Here's the message. http://slexy.org/raw/s2JoVC8OlP The
>> top copy of the message was how it was scanned coming in. Immediately,
>> I rescanned the message with spamassassin -d -t (scroll down to see
>> it). I snipped off the bottom of the long boring stuff. I'm just
>> trying to understand what's going on here so I can maintain my sanity.
>> TIA 
> 
> I see two big differences that jump out at me. As Duane suggested, were
> these run as the same user?
> 
> The first thing that jumps out is that in the first run, URIBL_JP_SURBL
> scores 1.5 (default when bayes is enabled), but the second run it scores
> 2.9 (default when bayes is disabled).
> 
> Also, the first run hit BAYES_00 for -2.6 points, but the second run did
> not hit bayes at all.
> 
> It looks like your second run is as a user that doesn't have a bayes DB,
> but your first run does have one, and that bayes DB strongly thinks the
> message is not spam (less than 1% probability it is spam..).
> 
> You might want to review your bayes training.
> 
> See also: man sa-learn
> 
> 
> 
> 
> 
> 
> 
> 

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