joewein.net   joewein.de LLC
fighting spam and scams on the Internet
Try our spam filter!
Free trial for 30 days
  jwSpamSpy

Home
About Us
Spam
419/Nigeria
Fraud
Contact

"419" Scam – Advance Fee / Fake Lottery Scam

The so-called "419" scam is a type of fraud dominated by criminals from Nigeria and other countries in Africa. Victims of the scam are promised a large amount of money, such as a lottery prize, inheritance, money sitting in some bank account, etc.

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.

Keep in mind that scammers DO NOT use their real names when defrauding people.
The criminals either abuse names of real people or companies or invent names or addresses.
Any real people or companies mentioned below have NO CONNECTION to the scammers!

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: claimsdept109@hotmail.com
Date: Thu, 07 Feb 2008 14:37:38 +1300
Subject: ref # : UKL/K5998/U4.

THE BRITISH NEW YEAR LOTTERY ANNOUCMENT / 2008

We are pleased to inform you of the result of UK NATIONAL LOTTERY 2008,

which was held on February 6th, 2008. Your e-mail address attached TICKET NUMBER: 74454774, SERIAL NUMBER:
144-66584,with DREW LUCKY NUMBERS: 5-21-23-34-61-72 that drewn a prize of 516,778.00 GREAT
BRITISH POUNDS

REQUIRED INFORMATION NEEDED
FULL NAME
ADDRESS
TEL
SEX
AGE
MARITAL STATUS
OCCUPATION
COUNTRY

CLAIMS AGENTS
Mr.Peter Taylor
Email: claimsdept104@live.com

YOUR SECURITY FILE REFERENCE NUMBER IS UKL/K5998/U4. (keep personal).Remember, your winning must be claimed not later
than (ONE MONTH OFNOTIFICATION).

Yours Sincerely,
Mrs.Lucy Baines
LOTTERY CO ORDINATOR

Anti-fraud resources: