Spamassassin always scores 0.

[Matt Kettler]

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Milton R. Calnek wrote:
>>spamassassin --lint
>>(should run, and exit quietly)
> 
> It does.

Good.
> spamassassin < /usr/share/doc/spamassassin-3.0.2/sample-nonspam.txt
> 
> Surprises on output:
> 
> X-Spam-Checker-Version: SpamAssassin 3.0.2 (2004-11-16) on
> wilma.pcplace.ca
> X-Spam-Level: 
> X-Spam-Status: No, score=0.0 required=4.0 tests=none
> autolearn=unavailable 
>         version=3.0.2

That's normal, no surprises there. Unless you've got bayes running, there should
be no rules that hit.

> 
> spamassassin < /usr/share/doc/spamassassin-3.0.2/sample-spam.txt
> 
> 
> X-Spam-Flag: YES
> X-Spam-Checker-Version: SpamAssassin 3.0.2 (2004-11-16) on
> wilma.pcplace.ca
> X-Spam-Level: **************************************************
> X-Spam-Status: Yes, score=997.2 required=4.0 tests=ALL_TRUSTED,
>         DNS_FROM_AHBL_RHSBL,GTUBE autolearn=unavailable version=3.0.2
> 

That's normal.

> 
>>spamassassin --lint -D
>>
> 
> 
> debug: diag: module installed: URI, version 1.21
> debug: ignore: using a test message to lint rules
> debug: using "/etc/mail/spamassassin/init.pre" for site rules init.pre
> debug: config: read file /etc/mail/spamassassin/init.pre
> debug: using "/usr/share/spamassassin" for default rules dir
> debug: config: read file /usr/share/spamassassin/10_misc.cf

That's good.

> 
> 
> Not sure if what I've got is correct and if not, how do I correct it.


Well, your setup looks OK so far.

Are you using network tests? (if you don't know, run a message through
spamassassin -D and see what "score set" it chooses.)


SA with both bayes and network tests disabled has a pretty low hitrate without a
lot of add-on rules. I'd strongly consider enabling network checks if you can
afford the load.

If you're load sensitive, and can't run network or bayes, you might want to
consider adding a few rulesets from www.rulesemporium.com.

I like random, adult, specific, fraud_post25x, and obfu0.

I use the above in my setup, as well as several custom rules. And I also use
bayes and network checks (dnsbls, uribls, razor, and dcc) on top of that.

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