The confidence on this message is 0.0000000.  Provided that is less than
baysConf, the normal score for bayesian spam is cut in half (And apparently
rounded up to the next whole number)


On Fri, Apr 29, 2016 at 1:48 PM, Jay <h...@herodata.com> wrote:

> Good day.
> I just wanted to thank everyone for their input with my questions for
> ASSP. I appreciate the help and so far the changes I have made made a
> positive impact. Not seeing as many of the spam emails get through now. So
> thank you.
>
> I do have one last thing that is bugging me and hopefully someone can
> answer. Looking through the log file today on a spam that did get through I
> noticed this in the log and for the life of me I can't seem to figure out
> where this number is coming from:
>
> Apr-29-16 11:49:32 m1-44971-12565 [Worker_5] [TLS-in] 65.55.90.176 <
> sen...@somewhere.com> to: recipi...@somemail.com Bayesian Check [scoring]
> - Prob: 1.00000 - Confidence: 0.00000 => doubtful.spam - answer/query
> relation: 100% of 199
> Apr-29-16 11:49:32 m1-44971-12565 [Worker_5] [TLS-in] 65.55.90.176 <
> sen...@somewhere.com> to: recipi...@somemail.com Message-Score: added 25
> for Bayesian Probability: 1.00000, total score for this message is now -5
>
> The part that is bugging me is the score of 25. I checked the
> baysValencePB and the scoring is set to 49. Could the score of 25 be
> because of (baysConfidenceHalfScore) is turned on? It is on by default.
> Otherwise I am at a loss where ASSP thinks the baysValencePB, if that's
> what is in play here, is 25. Any ideas on this?
>
> // <javascript:void(0);>
>
> On 4/28/2016 2:40 PM, Jay wrote:
>
>> So I changed the settings in the PB per the suggestions you made.
>>
>> X-Assp-Message-Score:25 (Bayesian Probability: 1.00000)
>>> X-Assp-IP-Score:25 (Bayesian Probability: 1.00000)
>>>
>>      why not sticking with the default (49)? any good reason?
>>
>> I checked the section for Bayesian in the PB and baysValencePB was set to
>> 50. I changed it back to the default number of 49. I am assuming this is
>> what you were referring to correct?
>>
>>
>>
>> On 4/28/2016 1:46 PM, Jay wrote:
>>
>>> Thank you for the suggestions. I will implement the changes you
>>> suggested. I appreciate it.
>>>
>>>
>>> On 4/28/2016 5:04 AM, aquilinux wrote:
>>>
>>>> Hi Jay, you really need to adjust your scores because they seem way too
>>>> permissive...
>>>>
>>>> X-Assp-Message-Score:-10 (SSL-TLS-connection-OK)
>>>>> X-Assp-IP-Score:-10 (SSL-TLS-connection-OK)
>>>>>
>>>> this is nonsense imho.
>>>> everyone now uses ssl/tls to connect so giving a -10 bonus here means
>>>> lowering a lot the assp effectiveness.
>>>> set *tlsValencePB* to *0*
>>>>
>>>> X-Assp-Message-Score:-15 (In Penalty White Box)
>>>>>
>>>> it happens... some new spammers manage to get to the White Box. not a
>>>> big
>>>> problem, just teach assp this is spam. you can even add the ip to PB
>>>> Black
>>>> if you find out that it is crap (whois is your friend).
>>>> Fool me once, shame on you... fool me twice, shame on me.
>>>>
>>>> X-Assp-Message-Score:25 (Bayesian Probability: 1.00000)
>>>>> X-Assp-IP-Score:25 (Bayesian Probability: 1.00000)
>>>>>
>>>> why not sticking with the default (49)? any good reason?
>>>>
>>>> PenaltyMessageLow set to 40 and the PenaltyMessageLimit set to 65.
>>>>>
>>>> again, why not sticking with the default (50)? any good reason?
>>>> i had to admit that, over many years, default scoring values turned out
>>>> to
>>>> be the best choice except.
>>>> same considerations for tlsValencePB apply for *spfpValencePB*. Set it
>>>> to *0
>>>> *since most of the spam/ube nowadays comes from very well configured
>>>> servers (SPF, DKIM).
>>>>
>>>> Regards,
>>>> aqx
>>>>
>>>>
>>>>
>>>>
>>>> On Wed, Apr 27, 2016 at 8:31 PM, Jay <h...@herodata.com> wrote:
>>>>
>>>> Good day.
>>>>>
>>>>> I have a question that I am hoping isn't too complicated to answer.
>>>>> When
>>>>> an email hits ASSP, what is the procedure ASSP follows in the process
>>>>> of
>>>>> determining if an email should be allowed or not? More specifically,
>>>>> does the email get scored by the Penalty Box, then passed along to the
>>>>> Bayesian and HMM database? I am still trying to figure out why some of
>>>>> the emails we are seeing get through ASSP shouldn't be allowed through.
>>>>> For example, I submit a analyze report to ASSP for a particular email
>>>>> that continues to get through, Bayesian and HMM analysis label the
>>>>> email
>>>>> as confident spam but emails like this still get through. I have the
>>>>> PenaltyMessageLow set to 40 and the PenaltyMessageLimit set to 65. Is
>>>>> the PenaltyMessageLimit set too high? I saw that 50 is the default.
>>>>>
>>>>> Here's an example of what is in the header information in case you
>>>>> needed to see this:
>>>>>
>>>>> X-Assp-Version:2.5.1(16100) on mail.somemailserver.com
>>>>> X-Assp-ID:mail.somemailserver.com
>>>>> X-Assp-Session:3DD721F0 (mail 1)
>>>>> X-Assp-Detected-RIP:223.176.172.29
>>>>> X-Assp-Source-IP:223.176.172.29
>>>>> X-Assp-Envelope-From:sen...@gmail.com
>>>>> X-Assp-Intended-For:recipi...@somewhere.com
>>>>> X-Assp-Client-TLS:yes
>>>>> X-Assp-Message-Score:-10 (SSL-TLS-connection-OK)
>>>>> X-Assp-IP-Score:-10 (SSL-TLS-connection-OK)
>>>>> X-Assp-Delay:not delayed (209.85.192.193 in whitebox (PBWhite)); 27 Apr
>>>>> 2016 10:34:39 -0400
>>>>> X-Assp-Message-Score:-15 (In Penalty White Box)
>>>>> X-Assp-Message-Score:49 (HMM Probability: 1.00000)
>>>>> X-Assp-IP-Score:49 (HMM Probability: 1.00000)
>>>>> X-Assp-Message-Score:25 (Bayesian Probability: 1.00000)
>>>>> X-Assp-IP-Score:25 (Bayesian Probability: 1.00000)
>>>>> X-Assp-Tag:MessageLimit
>>>>> X-Assp-Spam:YES (Probably)
>>>>> X-Spam-Status:yes
>>>>> X-Assp-Spam-Reason:MessageScore passed low limit
>>>>> X-Assp-Message-Totalscore:49
>>>>> X-Assp-Spam-Level:**********
>>>>> X-Assp-DKIM:not verified
>>>>>
>>>>>
>>>>>
>>>>>
>>>>>
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>>
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>
>
>
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> your business applications. It resolves application problems quickly and
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