
| Current Path : /proc/thread-self/root/home/ift/mails/16/ |
Linux ift1.ift-informatik.de 5.4.0-216-generic #236-Ubuntu SMP Fri Apr 11 19:53:21 UTC 2025 x86_64 |
| Current File : //proc/thread-self/root/home/ift/mails/16/1481668381.zrspam.165386_2016_12_13 |
From Sarah.9@jasondavidson.net Tue Dec 13 23:33:01 2016
Return-Path: <Sarah.9@jasondavidson.net>
X-Original-To: cgabriel@ift-informatik.de
Delivered-To: cgabriel@ift-informatik.de
Received: by ift-informatik.de (Postfix, from userid 5555)
id 1566E37525637; Tue, 13 Dec 2016 23:33:01 +0100 (CET)
Received: from localhost by h2486555.stratoserver.net
with SpamAssassin (version 3.4.0);
Tue, 13 Dec 2016 23:33:01 +0100
From: Sarah <Sarah.9@jasondavidson.net>
To: cgabriel <cgabriel@ift-informatik.de>
Subject: *****SPAM***** a photo for you
Date: Wed, 14 Dec 2016 05:32:47 +0700
Message-Id: <20161214053247.76580.72866@ift-informatik.de>
X-Spam-Checker-Version: SpamAssassin 3.4.0 (2014-02-07) on
h2486555.stratoserver.net
X-Spam-Flag: YES
X-Spam-Level: ***********
X-Spam-Status: Yes, score=11.7 required=5.0 tests=BAYES_50,
RCVD_IN_BL_SPAMCOP_NET,RCVD_IN_MSPIKE_BL,RCVD_IN_MSPIKE_L5,RCVD_IN_PBL,
RCVD_IN_PSBL,RCVD_IN_XBL,RDNS_NONE autolearn=no autolearn_force=no
version=3.4.0
MIME-Version: 1.0
Content-Type: multipart/mixed; boundary="----------=_5850771D.DBF0133B"
This is a multi-part message in MIME format.
------------=_5850771D.DBF0133B
Content-Type: text/plain; charset=iso-8859-1
Content-Disposition: inline
Content-Transfer-Encoding: 8bit
Spam detection software, running on the system "h2486555.stratoserver.net",
has identified this incoming email as possible spam. The original
message has been attached to this so you can view it or label
similar future email. If you have any questions, see
@@CONTACT_ADDRESS@@ for details.
Content preview: resized [...]
Content analysis details: (11.7 points, 5.0 required)
pts rule name description
---- ---------------------- --------------------------------------------------
0.4 RCVD_IN_XBL RBL: Received via a relay in Spamhaus XBL
[14.173.72.231 listed in zen.spamhaus.org]
3.3 RCVD_IN_PBL RBL: Received via a relay in Spamhaus PBL
2.7 RCVD_IN_PSBL RBL: Received via a relay in PSBL
[14.173.72.231 listed in psbl.surriel.com]
2.4 RCVD_IN_MSPIKE_L5 RBL: Very bad reputation (-5)
[14.173.72.231 listed in bl.mailspike.net]
1.3 RCVD_IN_BL_SPAMCOP_NET RBL: Received via a relay in bl.spamcop.net
[Blocked - see <http://www.spamcop.net/bl.shtml?14.173.72.231>]
0.8 BAYES_50 BODY: Bayes spam probability is 40 to 60%
[score: 0.4974]
0.0 RCVD_IN_MSPIKE_BL Mailspike blacklisted
0.8 RDNS_NONE Delivered to internal network by a host with no rDNS
The original message was not completely plain text, and may be unsafe to
open with some email clients; in particular, it may contain a virus,
or confirm that your address can receive spam. If you wish to view
it, it may be safer to save it to a file and open it with an editor.
------------=_5850771D.DBF0133B
Content-Type: message/rfc822; x-spam-type=original
Content-Description: original message before SpamAssassin
Content-Disposition: attachment
Content-Transfer-Encoding: 8bit
Received: from static.vnpt.vn (unknown [14.173.72.231])
by ift-informatik.de (Postfix) with ESMTP id A323A37525633
for <cgabriel@ift-informatik.de>; Tue, 13 Dec 2016 23:32:57 +0100 (CET)
MIME-Version: 1.0
Date: Wed, 14 Dec 2016 05:32:47 +0700
Message-ID: <20161214053247.76580.72866@ift-informatik.de>
Subject: a photo for you
From: Sarah <Sarah.9@jasondavidson.net>
To: cgabriel <cgabriel@ift-informatik.de>
Content-Type: multipart/mixed; boundary=0c897386c11c0dbeaa8a2656ccb3
X-Original-To: cgabriel@ift-informatik.de
X-Virus-Scanned: ClamAV using ClamSMTP
--0c897386c11c0dbeaa8a2656ccb3
Content-Type: text/plain; charset=ISO-8859-1
resized
--0c897386c11c0dbeaa8a2656ccb3
Content-Type: application/zip; name="2016-12-71092.zip"
Content-Disposition: attachment; filename="2016-12-71092.zip"
Content-Transfer-Encoding: base64
X-Attachment-Id: file0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--0c897386c11c0dbeaa8a2656ccb3--
------------=_5850771D.DBF0133B--