--
Charles Sprickman
NetEng/SysAdmin
Bway.net - New York's Best Internet www.bway.net
sp...@bway.net - 212.982.9800



> On Mar 15, 2016, at 12:28 PM, Reindl Harald <h.rei...@thelounge.net> wrote:
> 
> 
> 
> Am 15.03.2016 um 17:07 schrieb Robert Boyl:
>> Hi, everyone
>> 
>> Please check http://pastebin.com/GUBqpyZ8
>> 
>> Interesting how some spams that abuse some legit account such as this
>> one are hard to detect, how Spamassassin scores almost nothing although
>> there are spammy works, etc. System caught DCC_CHECK 1.10.
>> 
>> Some other systems such as isnotspam.com <http://isnotspam.com> caught
>> some SA rule which doesnt exist anymore in latest SA...
>> AXB_X_FF_SEZ_S=3.10.
>> 
>> Any ways to report such spams to spamassassin devels so they can try to
>> create new rules?
>> 
>> Any tips how to mark such mails as spam?
> 
> easy to detect and no way to slip through our filters
> Barracuda Networks *lol* we where victims of that noobs too...
> 
> X-Barracuda-Envelope-From: williams.1...@osu.edu
> X-Barracuda-Apparent-Source-IP: 157.56.111.246
> X-Barracuda-Envelope-To: XXX
> 
> /var/www/uploadtemp/7f4da2b4dac87498e3828802c5b22fc098e963be.eml: 
> Sanesecurity.Spear.williams_dot_1727_at_osu_dot_edu.UNOFFICIAL FOUND
> /var/www/uploadtemp/7f4da2b4dac87498e3828802c5b22fc098e963be.eml: 
> ScamNailer.Phish.williams.1727_AT_osu.edu.UNOFFICIAL FOUND
> /var/www/uploadtemp/7f4da2b4dac87498e3828802c5b22fc098e963be.eml: 
> Sanesecurity.Spear.williams_dot_1727_at_osu_dot_edu.UNOFFICIAL FOUND
> /var/www/uploadtemp/7f4da2b4dac87498e3828802c5b22fc098e963be.eml: 
> Sanesecurity.Spear.williams_dot_1727_at_osu_dot_edu.UNOFFICIAL FOUND
> /var/www/uploadtemp/7f4da2b4dac87498e3828802c5b22fc098e963be.eml: 
> ScamNailer.Phish.williams.1727_AT_osu.edu.UNOFFICIAL FOUND
> /var/www/uploadtemp/7f4da2b4dac87498e3828802c5b22fc098e963be.eml: 
> Sanesecurity.Spear.williams_dot_1727_at_osu_dot_edu.UNOFFICIAL FOUND
> 
> ----------- VIRUS-SCAN SUMMARY -----------
> Infected files: 1
> Time: 0.024 sec (0 m 0 s)
> Content analysis details:   (18.4 points, 5.5 required)
> 
> pts rule name              description
> ---- ---------------------- --------------------------------------------------
> -0.2 CUST_DNSWL_8           RBL: dnswl-aggregate.thelounge.net (No Trust)
>                      [157.56.111.246 listed in dnswl-aggregate.thelounge.net]
> 0.1 CUST_DNSBL_33          RBL: dnsbl-backscatterer.thelounge.net
>                            (ips.backscatterer.org)
>                  [157.56.111.246 listed in dnsbl-backscatterer.thelounge.net]
> 7.5 BAYES_99               BODY: Bayes spam probability is 99 to 100%
>                            [score: 0.9995]
> 3.1 AXB_X_FF_SEZ_S         Forefront sez this is spam
> -0.1 CUST_DNSWL_5           RBL: list.dnswl.org (No Trust)
>                            [157.56.111.246 listed in list.dnswl.org]
> 0.5 CUST_DNSBL_31          RBL: bl.nszones.com
>                            [157.56.111.246 listed in bl.nszones.com]
> 1.0 CUST_DNSBL_23          RBL: bl.spamcannibal.org
>                            [157.56.111.246 listed in bl.spamcannibal.org]
> -0.1 RCVD_IN_MSPIKE_H2      RBL: Average reputation (+2)
>                            [157.56.111.246 listed in wl.mailspike.net]
> 1.5 CUST_DNSBL_21          RBL: score.senderscore.com (senderscore.com High)
>                            [157.56.111.246 listed in score.senderscore.com]
> 1.0 CUST_DNSBL_25          RBL: score.senderscore.com (senderscore.com Medium)
> 0.4 BAYES_999              BODY: Bayes spam probability is 99.9 to 100%
>                            [score: 0.9995]
> 0.0 HTML_MESSAGE           BODY: HTML included in message
> 0.7 LOTS_OF_MONEY          Huge... sums of money
> 0.5 CUST_SUBJ_6            Begins Very Low
> 2.5 MONEY_FROM_41          Lots of money from Africa
> 0.0 T_FILL_THIS_FORM_SHORT Fill in a short form with personal information
> 

I thought I was doing an OK job of training Bayes, but in my case Bayes went 
hammy on this one:

Content analysis details:   (7.3 points, 5.0 required)

 pts rule name              description
---- ---------------------- --------------------------------------------------
 3.1 AXB_X_FF_SEZ_S         Forefront sez this is spam
-0.0 RCVD_IN_DNSWL_NONE     RBL: Sender listed at http://www.dnswl.org/, no
                            trust
                            [157.56.111.246 listed in list.dnswl.org]
-0.0 RCVD_IN_MSPIKE_H2      RBL: Average reputation (+2)
                            [157.56.111.246 listed in wl.mailspike.net]
-0.0 SPF_HELO_PASS          SPF: HELO matches SPF record
 0.0 HTML_MESSAGE           BODY: HTML included in message
-1.9 BAYES_00               BODY: Bayes spam probability is 0 to 1%
                            [score: 0.0000]
 2.8 DCC_CHECK              Detected as bulk mail by DCC (dcc-servers.net)
 0.0 LOTS_OF_MONEY          Huge... sums of money
 2.0 MONEY_FROM_41          Lots of money from Africa
 0.0 T_FILL_THIS_FORM_SHORT Fill in a short form with personal information
 1.3 TXREP                  TXREP: Score normalizing based on sender's 
reputation

Sometimes I wish there was a paid “Bayes in the Cloud” service that aggregated 
a bunch of well-fed bayesian dbs.

Charles



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