The XRP community has been hit by a new kind of threat—and this time, it unfolded in real time during a live event.
At a major XRP conference in Las Vegas, scammers deployed AI-generated personas to infiltrate the community, posing as attractive attendees and messaging victims directly. What made the attack especially convincing was the use of fake images showing these “individuals” seemingly present at the event itself, complete with photos in front of official conference branding. In reality, none of them existed.
The alarm was raised by an XRP Ledger validator after multiple attendees reported being contacted by these accounts across social platforms. The messages appeared casual at first, often friendly or flirtatious, but quickly evolved into deeper conversations designed to build trust.
What followed was a modernized version of the well-known “pig butchering” scam—only far more sophisticated. Victims were gradually persuaded to move conversations onto private messaging apps, where scammers introduced crypto-related opportunities or investment pitches.
The key difference in this case was the use of AI. By creating highly realistic identities that appeared to be physically present at the same event, attackers were able to lower skepticism and accelerate trust-building. Attendees, many of whom had already spent heavily on travel, accommodation, and tickets, became ideal targets—financially committed, emotionally engaged, and far more likely to respond.
A Community Repeatedly Under Attack
This incident is part of a growing pattern. The XRP ecosystem has faced multiple scam waves in recent months, including fake social media accounts impersonating Brad Garlinghouse to promote fraudulent giveaways, as well as deepfake livestreams targeting token holders after major industry events.
Even David Schwartz has publicly warned about the increasing sophistication of these attacks. The size and engagement of the XRP community make it an attractive and recurring target for bad actors.
This type of scam is no longer isolated to a single event or community. Globally, AI-powered fraud operations are scaling rapidly. Authorities in Hong Kong recently dismantled a network that used AI face-swapping during live video calls to impersonate women, stealing tens of millions of dollars from victims.
In the United States alone, crypto-related fraud losses have surged into the billions, with romance scams accounting for a significant share. AI is accelerating both the reach and effectiveness of these schemes, turning what were once manual scams into highly automated and scalable operations.
When Reality Can No Longer Be Trusted
What happened in Las Vegas highlights a deeper shift in the threat landscape. Crypto conferences, once seen as safe spaces for networking and collaboration, are increasingly becoming high-value hunting grounds where scammers can exploit real-time social signals and community trust.
This is no longer just about users making poor decisions. It is about highly engineered deception powered by artificial intelligence, where the line between real and fake is becoming increasingly difficult to detect.
In this new environment, even a message from someone who appears to be at the same event may not be what it seems—and that is exactly what makes this new wave of scams so dangerous.