check your Bayesian config

'DoBayesian' seems to be configured to 'block'
'BayesWL' and/or 'BayesNP is switched on

Thomas






Von:    Jay <h...@herodata.com>
An:     For Users of ASSP <assp-user@lists.sourceforge.net>
Datum:  27.08.2015 21:23
Betreff:        [Assp-user] Whitelisted Users rejected as Spam?



The current build we are on is 2.4.5(15162). So my problem just keeps 
getting weirder and weirder. This all seems to be traveling it's way 
back to the fear that my ASSP database is definitely poisoned and needs 
to be addressed. I got a call today from one of my users that does 
business with a long term client. The client has been getting blocked by 
the spam filter even though they are already on the white list and have 
been for years. It was my understanding that once a user is white listed 
in ASSP that they are no longer subjected to Bayesian matching and are 
allowed through. This does not make any sense.

Here's a snippet of my log file from ASSP for one of the blocked 
messages. (I masked the IP and actual email addresses)

Aug-27-15 11:59:58 [Worker_3] Connected: session:2AFB631C 
XX.XX.XXX.XXX:60528 > XX.XXX.XXX.XXX:25 > 127.0.0.1:26
Aug-27-15 11:59:59 m1-91199-20883 [Worker_3] XX.XX.XXX.XXX 
<sen...@user.com> info: found message size announcement: 1.92 MByte
Aug-27-15 11:59:59 m1-91199-20883 [Worker_3] XX.XX.XXX.XXX 
<sen...@user.com> message proxied without processing - message size 
(2008713) is above 500000 (npSize).
Aug-27-15 11:59:59 m1-91199-20883 [Worker_3] XX.XX.XXX.XXX 
<sen...@user.com> to: recipi...@company.com info: detected IP's on the 
mail routing way: 50.56.144.247, 50.56.144.22
Aug-27-15 11:59:59 m1-91199-20883 [Worker_3] XX.XX.XXX.XXX 
<sen...@user.com> to: recipi...@company.com info: detected source IP: 
XX.XX.XXX.XXX
Aug-27-15 12:00:00 m1-91199-20883 [Worker_3] XX.XX.XXX.XXX 
<sen...@user.com> to: recipi...@company.com Message-Score: added -15 
(pbwValencePB) for In Penalty White Box, total score for this message is 
now -15
Aug-27-15 12:00:00 m1-91199-20883 [Worker_3] XX.XX.XXX.XXX 
<sen...@user.com> to: recipi...@company.com Message-Score: added -15 
(pbwValencePB) for (OIP: XX.XX.XXX.XXX) In Penalty White Box, total 
score for this message is now -30
Aug-27-15 12:00:00 m1-91199-20883 [Worker_3] XX.XX.XXX.XXX 
<sen...@user.com> to: recipi...@company.com Message-Score: added -15 
(pbwValencePB) for (OIP: XX.XX.XXX.XX) In Penalty White Box, total score 
for this message is now -45
Aug-27-15 12:00:00 m1-91199-20883 [Worker_3] XX.XX.XXX.XXX 
<sen...@user.com> to: recipi...@company.com Bayesian Check  - Prob: 
1.00000 => spam
Aug-27-15 12:00:00 m1-91199-20883 [Worker_3] XX.XX.XXX.XXX 
<sen...@user.com> to: recipi...@company.com Message-Score: added 39 for 
Bayesian Probability: 1.00000, total score for this message is now -6
Aug-27-15 12:00:00 m1-91199-20883 [Worker_3] [Bayesian] XX.XX.XXX.XXX 
<sen...@user.com> to: recipi...@company.com [spam found] (Bayesian) [Lot 
1 CWF Work Order Documents] -> c:/assp/discarded/20883--4453557.eml;
Aug-27-15 12:00:02 m1-91199-20883 [Worker_3] XX.XX.XXX.XXX 
<sen...@user.com> to: recipi...@company.com [SMTP Error] 554 Mail 
appears to be unsolicited SPAM--

So the client is sen...@user.com and has been on the white list for a 
long time. This situation seems to have cropped up since we updated ASSP 
about 3 weeks ago. Here's what I got back from the white list report:

sen...@user.com: already on whitelist   <------ This is what puzzles me, 
why did the user get their message rejected but they are on the white 
list?

Two things concern me here, 1. Why are white listed users still being 
subjected to Bayesian matching? and 2. How do I go about fixing the 
issue with Bayesian? I submitting the email to the mail analyzer and 
here's the output:

Feature Matching: All green dots and every check here, Whitelisted 
Domains, On Global Whitelist, SPF-Check, URIBL, Known Good HELO, valid 
MX record, valid A record, RBLCheck, etc.

Here's the Bayesian Analysis:

Bad Words    Bad Prob
randnumber randnumber    1
blines blines    0.9991
font family    0.9985
mso style    0.9975
font size    0.9949
font face    0.9932
face font    0.9932
style priority    0.9902
if you    0.9848
randnumber 0pt    0.9848
size randnumber    0.9848
0in 0in    0.9737
com sender    0.9737
margin bottom    0.9737
randnumber font    0.9737
family calibri    0.9737
priority randnumber    0.9737
you have    0.9737
sans serif    0.9737
ssub ssub    0.9737
panose randnumber    0.9737
0pt font    0.9737
div wordsection1    0.9444
blue text    0.9444
wordsection1 size    0.9444
export only    0.9444
panose font    0.9444
thank you    0.9444
emailstylerandnumber mso    0.9444
color blue    0.9444
com rcpt    0.9444
msohyperlink mso    0.9444
style definitions    0.9444
msohyperlinkfollowed mso    0.9444
visited span    0.9444
type export    0.9444
calibri panose    0.9444
li msonormal    0.9444
fax randnumber    0.9444
0in margin    0.9444
text decoration    0.9444
serif color    0.9444
wordsection1 page    0.9444

Good Words    Good Prob
work order    0.0002
lot ssub    0.0002
ssub lot    0.0002
questions thank    0.0012
homes randnumber    0.0021
color windowtext    0.016
shiloh il    0.0196
wordsection1 attachment    0.02
randnumber office    0.0274
randnumber mobile    0.0316
windowtext msochpdefault    0.0435
compose font    0.0463
com style    0.0497
always please    0.0556
ssub documents    0.0556
blines andrea    0.0556

combined probability:    1.00000000 - got 137 - used 60 most significant 
results

Sorry for the massive post but this is really concerning me and in the 
years I have been using ASSP I have never seen this type of situation 
happen where a white listed user got email rejected due to ASSP thinking 
it's spam. We just upgraded ASSP from version 2.4.1(14085) to version 
2.4.5(15162) on 8/7/2015. All I did was drop in the update files ASSP.pl 
and ASSP_pop3.pl. I had to update 2 modules that were out of date 
ASSP_FC from version 1.04 to 1.05 and ASSP_SVC 1.02 to version 1.03. I 
have not changed anything in my config file and it's the same as it has 
been.

Any suggestions or advice is greatly appreciated.



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