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Google Sues Chinese Network Over Alleged Gemini-Powered Phishing Scheme

Google has sued an alleged Chinese crime network, claiming it used Gemini AI to build phishing sites that stole millions of credit card numbers. The company says the operation also targeted crypto investors.

What happened?

Google has sued an alleged Chinese crime network, claiming it used Gemini AI to build phishing sites that stole millions of credit card numbers. The company says the operation also targeted crypto investors.

Why it matters

Google’s claims center on the alleged weaponization of Gemini to support mass phishing activity. The company says the operation used AI-generated infrastructure to deceive victims and collect sensitive financial information.

Google has filed a lawsuit against an alleged Chinese crime group, accusing the network of using its Gemini AI technology to create phishing websites at scale. According to Google, the sites were used to steal millions of credit card numbers and also targeted people in the crypto sector.

The case matters because it highlights how generative AI tools can be misused to make online scams faster, cheaper, and more convincing. For crypto users, who are already frequent targets of phishing attempts, the allegations point to another layer of risk around fake websites and impersonation campaigns.

Google’s claims center on the alleged weaponization of Gemini to support mass phishing activity. The company says the operation used AI-generated infrastructure to deceive victims and collect sensitive financial information.

The lawsuit also reflects a broader challenge for major technology companies: limiting abuse of AI systems while keeping legitimate access open. As AI tools become more capable, platforms face growing pressure to detect and block criminal use without overstating what the technology itself is responsible for.

For readers in crypto, the practical takeaway is that phishing remains one of the most persistent threats in the ecosystem. The allegations in Google’s suit add to concerns that attackers are adapting quickly and using mainstream AI tools to scale familiar forms of online fraud.

Source: Decrypt