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fraud

6 Sevilla players involved in the Shirtum cryptocurrency project fraud case have been prosecuted, with investor losses potentially exceeding 24 million euros

According to Cryptopolitan, a court in Barcelona is investigating six former Sevilla FC players for their alleged involvement in a fraud case related to the Shirtum crypto project.Newly submitted criminal complaints indicate that the project is accused of selling fake NFTs and manipulated tokens to investors, resulting in losses of over 24 million euros, approximately 28 million dollars. The players named in the complaint include Papu Gómez, Lucas Ocampos, Ivan Rakitić, Nico Pareja, Alberto Moreno, and Javier Saviola. Additionally, El Correo de Andalucía reports that Diego Perotti and Marcelo Guedes were also involved in promoting the project. Thirteen Spanish investors have filed a lawsuit with the Barcelona Investigative Court No. 5, claiming they lost all their funds.It is reported that Shirtum was promoted as a digital collectibles trading platform for football and sold "cinematic NFTs" containing player photos and recordings, priced at around 450 euros each. However, the complainants claim that these NFTs were never minted on any blockchain and cannot be transferred or resold. Furthermore, Shirtum's promoters previously obtained about 3 million euros in BNB from investors for the development of iOS and Android mobile applications, but the app was never launched, and the related funds were neither refunded nor accounted for.

SUNX issues a solemn statement, reminding to be vigilant against fraud involving funds impersonating "Sun Kexi" and others

The derivatives trading platform SUNX officially announced that there has been a surge of counterfeit platforms impersonating SUNX in the market recently. Some criminals are using unofficial Chinese translations such as "孙克斯" and "森克斯" to carry out fraudulent activities like "contract trading" and other financial scams.In response to the above phenomenon, SUNX makes the following core clarifications and statements:Official Name: SUNX officially only uses the unique English name "SUNX" and has never adopted any Chinese name. Any platform that lures users into high-yield rebate schemes using names like "孙克斯" is counterfeit and has no connection to SUNX.Compliance Qualifications: SUNX was established in 2018 and has legally obtained compliance qualifications in multiple countries. This includes the US MSB license, registration numbers 31000276306668 and 31000307329308. Officially registered with the US SEC, SUNX LTD. (CIK: 0002106288).Inclusion in Authoritative Platforms: Currently, SUNX has been included in several authoritative data platforms, ranking 19th globally on MyToken and 33rd globally on Nonce, and has been officially listed on CoinMarketCap.SUNX reminds users to access trading only through the official unique channels and to stay away from any fraudulent activities claiming "contract trading" or using unofficial Chinese names. The company has initiated evidence collection procedures and will pursue legal responsibility against the infringing parties according to the law.

The United States sanctions Cambodian senator, the crackdown on cryptocurrency fraud continues to escalate

The U.S. Department of the Treasury's Office of Foreign Assets Control (OFAC) announced sanctions against Cambodian Senator Kok An, accusing him of controlling "fraud parks" across the country, defrauding American victims through cryptocurrency investment scams.According to a statement released by OFAC on Thursday, in addition to Kok An, 28 other individuals and entities have been added to the sanctions list, all believed to be connected to his fraud network. This network is accused of luring victims into sending cryptocurrency assets under the guise of "high return investments." This action follows a raid by Cambodian police on two scam centers in the border city of Poipet. Previously, Kok An had been accused of operating scam bases in the area. OFAC stated that scammers typically gain victims' trust by establishing "friendships" or "romantic relationships," then guide them to participate in so-called cryptocurrency investment platforms, thereby defrauding them of funds, with the total amount involved reaching millions of dollars.It is noteworthy that some individuals involved in the scam activities are themselves victims of human trafficking, forced to engage in illegal activities under threats of violence. OFAC pointed out that these scam centers are often located in casinos or repurposed office parks, used not only for money laundering but also as bases for defrauding American citizens and committing human rights violations. Additionally, regulators have simultaneously shut down over 500 fraudulent website domains used for cryptocurrency investment scams, indicating that the U.S. crackdown on related criminal activities is intensifying.

Coinbase upgrades its anti-fraud system, integrating machine learning with a rules engine, reducing response time to a few hours

Coinbase stated that it is optimizing the rule creation process in its anti-fraud system by integrating machine learning models with a rules engine, achieving more efficient risk management. It also proposed a dual-track strategy of "models responsible for long-term defense, rules responsible for rapid response," and built a unified framework to create a feedback loop between the two: rules are used to capture new types of fraud and train the model in reverse, thereby continuously enhancing overall defense capabilities.In terms of specific optimizations, Coinbase has transformed the previously manual rule creation process into a data-driven and automated recommendation system by restructuring data, automating schema evolution, and introducing notebook-based analytical tools, significantly improving efficiency. Among these improvements, the performance of rule backtesting has increased by more than 10 times, and the overall response time has been reduced from several days to a few hours. Additionally, the new system uses machine learning to recommend parameters, helping to reduce false positive rates while combating fraud and minimizing the impact on normal users. Coinbase indicated that the next step will be to advance event-driven automatic rule generation and explore the "one-click conversion" of efficient rules into model features, further moving towards an automated risk management system.
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