Chris 'Xenon' Hanson wrote:
>   I run an Ubuntu machine with qmail, qmail-scanner and SpamAssassin.
> Yes, I know this isn't the qmail or qmail-scanner list, but I
> genuinely think this is an SA issue. Well, a user issue with SA,
> really. 
> 
>   Normally, the system runs great, rejecting heaps of spam. But after
> a reboot (our power failed for a long time this weekend, longer than
> the UPS could keep up), SA has really poor filtering for a while. It
> _is_ running, here are the X-Spam headers from typical flagged spam:
> 
> X-Spam-Status: Yes, hits=5.4 required=4.0
> X-Spam-Level: +++++
> X-Spam-Report: SA TESTS
>   1.1 EXTRA_MPART_TYPE       Header has extraneous
> Content-type:...type= entry 
>   0.0 HTML_MESSAGE           BODY: HTML included in message
>   3.1 HTML_IMAGE_ONLY_08     BODY: HTML: images with 400-800 bytes of
> words 
>   0.0 BAYES_50               BODY: Bayesian spam probability is 40 to
>                              60% [score: 0.5445]
>   0.2 HTML_FONT_LOW_CONTRAST BODY: HTML font color similar to
> background 
>   0.9 HTML_SHORT_LINK_IMG_1  HTML is very short with a linked image
> 
> 
> X-Spam-Report: SA TESTS
>   0.1 HTML_90_100            BODY: Message is 90% to 100% HTML
>   1.1 MIME_HTML_MOSTLY       BODY: Multipart message mostly text/html
> MIME 
>   0.0 HTML_MESSAGE           BODY: HTML included in message
>   3.1 HTML_IMAGE_ONLY_08     BODY: HTML: images with 400-800 bytes of
> words 
>   0.0 BAYES_50               BODY: Bayesian spam probability is 40 to
>                              60% [score: 0.5008]
>   0.9 HTML_SHORT_LINK_IMG_1  HTML is very short with a linked image
> 
> 
>   I have Qmail-scanner set to flag at 4 and silently delete at 6.
> Normally, most genuine spam disappears silently because it has SUCH a
> high score, and I get a few "flagged" false negatives. I almost never
> get a false positive flagged. 
> 
> 
>   I have a Bayes database that I hand-fed a huge number of ham and
> spam a few months ago, and it has worked really well. I also have
> bayes autolearn on. I did a sa-learn dump, and while I didn't really
> understand all the data it listed, it seemed to have a large dataset. 
> 
>   Where would I begin to investigate this? Normally, SA is such a
> "utility" program, it just works, and works great without fuss. I
> have it set to fetch new rules frequently, and am using the JMason
> sought.cf ruleset as well. 

I don't see any network tests here.  Do you have them enabled?

-- 
Bowie

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