# Artikel Terkait AI Fraud

Pusat Berita HTX menyediakan artikel terbaru dan analisis mendalam mengenai "AI Fraud", mencakup tren pasar, pembaruan proyek, perkembangan teknologi, dan kebijakan regulasi di industri kripto.

The US estimated damage from cryptocurrency fraud at $80.7 billion

According to a report by the Consumer Federation of America (CFA), U.S. citizens lost an estimated $80.7 billion to cryptocurrency fraud in 2025. This figure is derived from data reported to the FBI's Internet Crime Complaint Center (IC3), which received 181,565 crypto-related complaints with claimed losses of $11.37 billion—a 22% increase from 2024. The CFA applied a 7.1 multiplier to account for significant underreporting. Cryptocurrency fraud accounted for over half of all losses reported to IC3. The largest category of reported damage was investment fraud, totaling $8.6 billion (estimated $61.4 billion after the multiplier). The FBI specifically noted 61,559 crypto investment fraud complaints with losses of $7.23 billion. Individuals over 60 were disproportionately affected, reporting $4.43 billion in losses from 44,555 complaints. Overall, IC3 received over 1 million complaints across all internet crimes in 2025, with reported losses of $20.88 billion. The CFA estimates total losses at $148.2 billion, or $1,009 per U.S. household. For the first time, the FBI separately tracked AI-enabled crimes, logging 22,364 complaints with $893.3 million in reported losses (estimated $6.3 billion). The FBI also highlighted its "Operation Level Up" initiative, launched in 2024, which has prevented over $500 million in potential crypto fraud losses.

cryptonews.ru07/29 18:01

The US estimated damage from cryptocurrency fraud at $80.7 billion

cryptonews.ru07/29 18:01

Hong Kong Crypto Scam Shock: Woman Loses Nearly $1 Million As AI Fraud Surges

Hong Kong Crypto Scam Shock: Woman Loses Nearly $1 Million As AI Fraud Surges A Hong Kong woman lost HK$7.7 million (approximately $982,000) after being lured into a fraudulent cryptocurrency investment platform. The scam began on Telegram, where a person posing as an investment expert promoted an AI-powered trading strategy with guaranteed returns. After making 17 transfers of USDT and Ethereum, the victim was unable to withdraw her funds. Hong Kong Police have reported a significant surge in such online investment fraud, with over 80 cases recorded in a single week, totaling losses of nearly HK$80 million. Authorities warn that scammers are increasingly using sophisticated tactics, including promises of "AI trading" and "guaranteed profits," to appear credible. This follows a similar incident last month where a retiree lost HK$6.6 million in a multi-stage scam. Police urge the public to be cautious of unsolicited investment advice and to verify platforms through the official CyberDefender service before transferring any money. They emphasize that no legitimate investment can guarantee returns. Investigations are ongoing.

bitcoinist04/19 14:01

Interpreting the FBI's '2025 Internet Crime Report': AI Fraud Becomes the Biggest Variable, Individuals Aged 60+ Emerge as Primary Targets for Crypto Scams

FBI's 2025 Internet Crime Report, based on over 1 million complaints, reveals record losses of $20.877 billion, a 26% increase from 2024. Cryptocurrency-related crimes surged to $11.366 billion, with victims over 60 years old being the primary target, suffering $2.76 billion in crypto investment scams alone. This age group was also most affected by recovery scams. Investment fraud was the costliest crime at $8.649 billion, followed by BEC scams ($3.047B) and tech support fraud ($2.135B). Phishing was the most common complaint. Ransomware attacks caused over $32 million in losses, with Akira and Qilin among the top variants. A significant emerging threat is AI-driven fraud, involved in over 22,000 complaints causing $893 million in losses. AI was used to create deepfakes for investment scams ($632M), BEC, and impersonation schemes. The report highlights the industrialization of scams through automation. Despite law enforcement successes, like freezing $679 million, the escalating losses and sophistication of attacks underscore the critical importance of public awareness and enhanced cybersecurity measures.

marsbit04/16 07:18

Interpreting the FBI's '2025 Internet Crime Report': AI Fraud Becomes the Biggest Variable, Individuals Aged 60+ Emerge as Primary Targets for Crypto Scams

marsbit04/16 07:18

Skynet Crypto ATM Fraud Report Highlights Surge in US Crypto ATM Scams

The newly released Skynet Crypto ATM Fraud Report reveals a sharp rise in cryptocurrency kiosk scams across the United States, with losses reaching $333.5 million in 2025. These scams, driven by organized criminal networks, exploit the speed and anonymity of crypto ATMs to defraud victims through social engineering tactics. Scammers often impersonate government or bank officials to manipulate victims—disproportionately seniors over 60—into depositing cash into machines that transfer funds directly to criminal-controlled wallets. The report highlights challenges in tracing transactions due to structural gaps in kiosk systems and the use of sophisticated laundering techniques. While regulators and operators are implementing stricter verification and real-time analytics, public awareness and pre-transaction interventions remain crucial to combating this growing financial crime.

TheNewsCrypto03/13 00:32

Skynet Crypto ATM Fraud Report Highlights Surge in US Crypto ATM Scams

TheNewsCrypto03/13 00:32

Illicit Crypto Flows Hit Record $158 Billion In 2025, TRM Says

According to TRM Labs, illicit crypto flows reached a record $158 billion in 2025, driven by increasingly sophisticated scams using AI tools. Large language models, deepfakes, and voice cloning were employed to create believable messages and fake personas, helping fraudsters build trust before soliciting money through fake investments or false emergencies. These operations often function like small companies, using phishing kits and AI services to scale their efforts. While scam proceeds slightly decreased to $35 billion, the overall volume of criminal activity rose significantly. Despite improvements in scam-detection technology, the use of AI makes scams harder to identify and more convincing.

bitcoinist01/30 06:01