Hi,

sorry for taking so long to come back with the headers, but here they
are finally:

http://pastebin.org/192054

Does this help?

Thanks for your help

Raphaƫl


On Wed, Apr 21, 2010 at 3:28 PM, Bowie Bailey <[email protected]> wrote:
> Raphael Bauduin wrote:
>> Hi,
>>
>> I'm trying to help someone using Exim with the Debian packaged
>> spamassassin 3.2.5-2 and sa-exim 4.2.1-11
>> I've looked for information on how a mail is processed precisely but
>> didn't find any explanation of the following.
>>
>> In the spamd logs, I see that each mail is processed 2 times: one
>> "checking" the mail, one "processing" the mail. (any precise docs on
>> those two steps?)
>> The problem I encountered, according to my understanding, is that the
>> checking step had a score of 3.9 (put in the header to X-Spam_score)
>> with this info in the X-Spam_report header:
>>         0.0 HTML_MESSAGE           BODY: HTML included in message
>>        2.0 HTML_IMAGE_ONLY_04     BODY: HTML: images with 0-400 bytes of 
>> words
>>        -1.1 BAYES_05               BODY: Bayesian spam probability is 1 to 5%
>>        [score: 0.0336]
>>        1.4 MIME_QP_LONG_LINE      RAW: Quoted-printable line longer
>> than 76 chars
>>        0.6 DC_PNG_UNO_LARGO       Message contains a single large inline gif
>>        0.0 DC_IMAGE_SPAM_TEXT     Possible Image-only spam with little text
>>        0.0 DC_IMAGE_SPAM_HTML     Possible Image-only spam
>>        1.0 AWL                    AWL: From: address is in the auto 
>> white-list
>>
>> The chekcing on the other hand generated this:
>>   X-Spam-Status: Yes, score=6.9 required=5.0 tests=AWL,BAYES_95,
>>        
>> DC_IMAGE_SPAM_HTML,DC_IMAGE_SPAM_TEXT,DC_PNG_UNO_LARGO,HTML_IMAGE_ONLY_04,
>>        HTML_MESSAGE,MIME_QP_LONG_LINE autolearn=no version=3.2.5
>>
>> The difference is:
>> * BAYES_95 in place of BAYES_05
>> * score is 6.9 in place of 3.9
>>
>
> Sounds like you are running the message through SA twice.  Possibly once
> at receipt and once at delivery?  The wide differences in Bayes score
> indicates that you are using two different databases, one of which is
> seriously mis-trained.
>
>> What I don't understand is:
>> - If I'm summing up all scores mentioned in X-Spam-Status, I should
>> get 3.9  - BAYES_05 ( -1.1) + BAYES_95 (+3 or +5, I need to check
>> which value is used), giving 8 or 10, which in no case match 6.9
>>
>
> The culprit here is likely AWL.  Unless you get the full report, you
> have no idea what score was assigned by AWL.
>
> Put a message with the complete set of headers in pastebin and give us
> the link to it.  Once we see all of the headers, we may be able to tell
> you more.
>
> --
> Bowie
>
>



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