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Yep it sounds like a great idea.  One problem when you list so many evil 
domains and some code is you get caught as spam.

Douglas



On Sunday 18 January 2004 08:41, PieterB wrote:
> Spam detection software, running on the system "<snip>", has
> identified this incoming email as possible spam.  The original message
> has been attached to this so you can view it (if it isn't spam) or block
> similar future email.  If you have any questions, see
> your admin for details.
> 
> Content preview:  Hi, I have an idea, similar to Scott A Crosby's
>   datamining application. I didn't use a datamining/analysis program, but
>   used the Bayes database. For example if you use: sa-learn --dump all |
>   grep "^0\.999 *[0-9]* *0 [0-9]*" [...] 
> 
> Content analysis details:   (5.3 points, 4.0 required)
> 
>  pts rule name              description
> ---- ---------------------- 
- --------------------------------------------------
> -5.0 FNET_MAILING_LIST      Possibly part of a mailing list
>  3.0 BigEvilList_193        URI: Generated BigEvilList_193
>  3.0 BigEvilList_2          URI: Generated BigEvilList_2
>  3.0 BigEvilList_9          URI: Generated BigEvilList_9
>  0.8 BIZ_TLD                URI: Contains a URL in the BIZ top-level domain
>  0.1 FVGT_TRIPWIRE_PZ       FVGT_TRIPWIRE_PZ
>  0.1 FVGT_TRIPWIRE_BX       FVGT_TRIPWIRE_BX
>  0.1 FVGT_TRIPWIRE_TB       FVGT_TRIPWIRE_TB
>  0.1 FVGT_TRIPWIRE_TZ       FVGT_TRIPWIRE_TZ
>  0.1 FVGT_TRIPWIRE_JL       FVGT_TRIPWIRE_JL
>  0.1 FVGT_TRIPWIRE_OK       FVGT_TRIPWIRE_OK
>  0.1 FVGT_TRIPWIRE_MD       FVGT_TRIPWIRE_MD
> 
> 
> 
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