Scam Sweep! Police Grills 665 People in $19m Fraud Op

Scam Sweep! Police Grills 665 People in $19m Fraud Op
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  1. 413 men and 252 women, totalling 665 people, investigated for scamming activities in Singapore.
  2. Scams caused victims to lose over $19 million.
  3. Public warned against helping in scam activities.

Singapore Police Force strikes a big blow against a web of scammers and money mules, uncovering over 3,600 cases.

Scam Sweep Targets Scammers and Money Mules

According to the Singapore Police Force (SPF), a two-week island-wide sweep has resulted in the investigation of 665 people connected to a variety of scams.

Victims reported losing a shocking amount totalling over $19 million due to these fraudsters.

The age range of those investigated is broadly between 15 to 79 years old.

They have taken part in scams including e-commerce and internet love tricks.

Here are some key points to be noted:

  • Commercial Affairs Department and Police Land Divisions carried out the operation.
  • Suspects could face jail or big fines if found guilty.
  • The SPF has stressed a firm stance against scam-related activities.

Understanding the Police Operation

As detailed by the SPF, “The suspects are believed to be involved in more than 3,600 cases of scams, comprising mainly friend impersonation scams, e-commerce scams, internet love scams, investment scams and job scams, where victims reportedly lost over $19 million.”

An island-wide effort sought to find and investigate scammers.

Men and women, young and old, have been pulled into these criminal networks.

The crime range for the suspects includes cheating to money laundering.

Fighting Financial Crimes

Police are checking the suspects for unlicensed payment services too.

Providing unauthorised payment solutions could lead to a fine, jail time, or both.

The public has been asked to stay alert and report odd activities.

It’s vital for everyone to be careful and tell the police about fake schemes.

Your Take: Yes or No? 是或否?


Disclaimer: This article is accurate to the best of our knowledge and due diligence, but we recommend independent verification where needed.以下文章内容由人工智能自动翻译成中文,可能存在翻译错误或不准确之处。我们对此表示抱歉,若发现任何错误,欢迎读者进行反馈。若有疑问,请以英文版文章的数据为准。

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