Meta Sues Scammers Using AI Deepfakes to Hijack Celebrity Images

"Longchamp has a zero tolerance policy and invests a fair amount of resources in combating illicit activities - such as counterfeiting or fraud using our brand - offline and online," a Longchamp representative told Meta's newsroom. "For this fight to be efficient, we need to rely on active cooperation between all stakeholders, including intermediaries. We're happy that Meta takes action and demonstrates such cooperation."

To combat cloaking, Meta's built new AI-powered tools that analyze suspicious ads and compare what review systems see versus what gets served to users. The technology helps Meta reject fraudulent ads faster and respond more quickly when users flag suspected scams. The company now protects images of more than 500,000 celebrities and public figures worldwide through automated systems designed to catch unauthorized use in ads.

The enforcement extends to Meta's own partner ecosystem. The company recently sent cease-and-desist letters to eight former Meta Business Partners who allegedly offered "un-ban" services and rented access to trusted accounts that helped other scammers evade enforcement. Meta says it'll consider additional litigation if these partners don't comply, and it's now reviewing its entire Business Partner vetting process.

The legal actions arrive as tech platforms face mounting pressure over scam content. Unlike pure content moderation, which Meta handles through automated systems and policy enforcement, these lawsuits seek to impose real financial and legal consequences on scammers. It's a playbook Meta's used before - the company has filed similar suits against data scrapers and spam operations - but the focus on AI-powered impersonation and cloaking reflects how scammer tactics are evolving.

Meta's multi-layered anti-fraud approach combines automated defenses, partnerships with law enforcement across multiple countries, and cross-industry information sharing. When the company blocks a scammer's domain or payment method, it shares that intelligence with other platforms so bad actors can't simply move their operations elsewhere. The company also maintains a Scam Prevention Hub with user education resources.

Still, the scale of the problem is massive. Celeb-bait scams work precisely because they're designed to look legitimate, making them tough for both users and automated systems to catch. The fact that Meta's now protecting half a million celebrity images suggests these impersonation schemes are widespread enough to require industrial-scale defenses.

The lawsuits don't specify damages Meta is seeking, but they represent a clear message that the company's willing to pursue scammers across borders. Whether legal action proves more effective than technical enforcement remains to be seen, but it adds another layer of risk for fraudsters calculating whether Meta's platforms are worth the effort.

Meta's decision to pursue legal action against international scam operations marks an escalation in how platforms police fraudulent activity. The combination of AI detection tools, law enforcement partnerships, and civil litigation creates multiple pressure points for scammers. But the sophistication of cloaking techniques and deepfake technology means this is an arms race, not a one-time cleanup. As AI makes it easier to generate convincing fake celebrity endorsements and bypass automated review systems, expect platforms to lean harder on legal remedies to complement their technical defenses. For users, the takeaway is simple: if a celebrity is hawking miracle products or investment opportunities through social media ads, it's almost certainly a scam.