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Under common law, false pretense is defined as a representation of a present or past fact, which the thief knows to be false, and which he intends will and does cause the victim to pass title of his property. That is, false pretense is the acquisition of title from a victim by fraud or misrepresentation of a material past or present fact.
The requisite elements of perhaps the most general form of criminal fraud, theft by false pretense, are the intentional deception of a victim by false representation or pretense with the intent of persuading the victim to part with property and with the victim parting with property in reliance on the representation or pretense and with the ...
In law, fraud is an intentional deception to secure unfair or unlawful gain, or to deprive a victim of a legal right. Fraud can violate civil law or criminal law, or it may cause no loss of money, property, or legal right but still be an element of another civil or criminal wrong. [1]
Catfishing is when a person uses false information and images to create a fake identity online with the intention to trick, harass, or scam another person. It often happens on social media or ...
A romance scam is a confidence trick involving feigning romantic intentions towards a victim, gaining the victim's affection, and then using that goodwill to get the victim to send money to the scammer under false pretenses or to commit fraud against the victim.
That law prohibits "a person" from engaging in "a practice or act" that he "knows or reasonably should know is an unfair practice, deception, fraud, false pretense, or false promise, or the ...
Mail fraud was first defined in the United States in 1872. 18 U.S.C. § 1341 provides: Whoever, having devised or intending to devise any scheme or artifice to defraud, or for obtaining money or property by means of false or fraudulent pretenses, representations, or promises, or to sell, dispose of, loan, exchange, alter, give away, distribute, supply, or furnish or procure for unlawful use ...
Fraud and financial crime patterns have become more digital and faster changing, leveraging the underlying characteristics of the underlying digital payments infrastructures. This caused traditional rule based systems to be ineffective and led the way to machine learning and AI-based fraud detection techniques.