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To combat the rising incidence of scams, the Singapore authorities had implemented various counter measures to combat scams and reinstating money back to victims. In 2019, the Anti-Scam Centre was formed under Commercial Affairs Department (CAD) in 2019 and was reorganised into the Anti-Scam Division in 2021.
On 15 August 2023, the Singapore Police Force conducted an operation against money laundering. It is the biggest money laundering case in Singapore, and among the biggest in the world, involving assets worth 3 billion Singapore dollars. It led to at least ten foreigners being charged for money laundering related crimes.
v. t. e. The Republic of Singapore is generally perceived as one of the least corrupt countries in the world. Cases are mostly handled by the Singapore Corrupt Practices Investigation Bureau (CPIB), a government agency in Singapore that investigates and prosecutes corruption in the public and private sectors. [1]
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The Protection from Online Falsehoods and Manipulation Act 2019, commonly abbreviated as POFMA and known colloquially as Fake News Law, [2] is a statute of the Parliament of Singapore that enables authorities to tackle the spread of fake news or false information. The law is designed specifically to allow authorities to respond to fake news or ...
The Corrupt Practices Investigation Bureau ( CPIB) is an independent agency of the Government of Singapore responsible for the investigation and prosecution of any possible serious or complex fraud and corruption in Singapore. The CPIB has the mandate to investigate into any acts or forms of corruption in the public and private sectors in ...
e. The 1Malaysia Development Berhad scandal, often referred to as the 1MDB scandal or just 1MDB, is an ongoing corruption, bribery and money laundering conspiracy in which the Malaysian sovereign wealth fund 1Malaysia Development Berhad (1MDB) was systematically embezzled, with assets diverted globally by the perpetrators of the scheme. [1]
Scam baiting (or scambaiting) is a form of internet vigilantism primarily used towards advance-fee fraud, IRS impersonation scams, technical support scams, [1] pension scams, [2] and consumer financial fraud. [1]