A cryptocurrency scam resulted in charges against a 31-year-old man from Massachusetts. The victim, a 70-year-old resident of Seymour, Connecticut, lost approximately $160,000. The scammers impersonated Coinbase support staff, leading to the victim's loss of around $13.4 million in cryptocurrency. Christopher Abner, the accused, pleaded not guilty to charges related to larceny, identity theft, and money laundering. Legislation has been signed to regulate the cryptocurrency industry in response to similar scams in Connecticut.
During the scam, the victim contacted what they believed was Amazon customer service due to a recurring charge on their bank statement. They were tricked into making deposits at Bitcoin ATMs and setting up a Coinbase account to wire $100,000.
The investigation involved obtaining search warrants for account information and surveillance footage showing Abner withdrawing and laundering the stolen funds.
A victim lost £6,451 in a cryptocurrency scam after buying a cheap camera on eBay, which led to malware infecting the victim's phone. Unauthorised transactions were made to a cryptocurrency exchange, Coinbase, without the victim's knowledge. Despite the victim's efforts, the bank initially denied reimbursement. After 17 months, the victim finally recovered the money. The incident highlights the risks of malware and the importance of robust security measures in the cryptocurrency market.
I have successfully collected 500 news articles related to "coinbase" using the News API and Python script and saved them to a CSV file named 'coinbase_all_articles.csv'. For each article, I extracted its title, text, link, publication date, and checked if it's scam-related based on keywords. Additionally, created two informative visualizations using Matplotlib: a pie chart showing the percentage of scam-related articles and a bar chart illustrating the number of all articles and scam articles by month.
