joewein.de LLC fighting spam and scams on the Internet |
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Victims never receive this non-existent fortune but are tricked into sending their money to the criminals, who remain anonymous. They hide their real identity and location by using fake names and fake postal addresses as well as communicating via anonymous free email accounts and mobile phones.
Read more about such scams here or in our 419 FAQ. Use the Scam-O-Matic to verify suspect emails.
Click here to report a problem with this page.
Some comments by the Scam-O-Matic about the following email:
Fraud email example:
From: Mrs Monica Christopher <f_christopher01@hotmail.com>
Date: Thu, 4 Sep 2008 14:51:04 +0200
Subject: *****SPAM***** From: Mrs. Monica Christopher
Spam detection software, running on the system "mail.tugab.bg", has
identified this incoming email as possible spam. The original message
has been attached to this so you can view it (if it isn't spam) or label
similar future email. If you have any questions, see
The administrator of that system for details.
Content preview: From: Mrs. Monica Christopher Phone : +27-71-943-5955 No.
23, jean Street (JHB) Contact Email Address f_christopher01@hotmail.com South
Africa Good Day, I NEED YOUR HUMBLE ASSISTANCE PLEASE I know how surprise
this letter will mean to you, but I would advice that you consider it as
a request from a family in dire need of assistance. I am Mrs. Monica Christopher
the wife of late Mr. Larry Christopher of Gwanda town in Zimbabwe. Your contact
information came to me from your country's trade journal (Through the Internet)
during my search for a reliable and God fearing person that can assist me
and my only son, and I quite believe on my own that you can be of great help
in this regard even if I am not acquainted to you before. [...]
Content analysis details: (7.6 points, 5.0 required)
pts rule name description
---- ---------------------- --------------------------------------------------
-1.8 ALL_TRUSTED Passed through trusted hosts only via SMTP
1.3 MISSING_HEADERS Missing To: header
1.5 MILLION_USD BODY: Talks about millions of dollars
1.3 NA_DOLLARS BODY: Talks about a million North American dollars
0.6 US_DOLLARS_3 BODY: Mentions millions of $ ($NN,NNN,NNN.NN)
0.0 BAYES_50 BODY: Bayesian spam probability is 40 to 60%
[score: 0.5000]
1.2 ADVANCE_FEE_2 Appears to be advance fee fraud (Nigerian 419)
1.4 ADVANCE_FEE_3 Appears to be advance fee fraud (Nigerian 419)
0.6 ADVANCE_FEE_4 Appears to be advance fee fraud (Nigerian 419)
1.3 AWL AWL: From: address is in the auto white-list
Anti-fraud resources: