How ZachXBT Uncovered a Canadian Scammer Stealing $2M via Coinbase Impersonation

Published 12/30/2025

How ZachXBT Uncovered a Canadian Scammer Stealing $2M via Coinbase Impersonation

How ZachXBT Uncovered a Canadian Scammer Stealing $2M via Coinbase Impersonation

Crypto investigator ZachXBT exposed a Canadian scammer who allegedly defrauded victims of approximately $2 million by impersonating Coinbase support. The case underscores a growing trend in Web3 security where social engineering, rather than technical breaches, is becoming the primary vector for fraud, raising significant challenges for user protection and law enforcement.

What happened

ZachXBT identified a scam operation originating from Canada that targeted crypto users by impersonating Coinbase’s official support channels. The scammer employed social engineering tactics, including the use of fake Coinbase phone numbers and counterfeit websites, to deceive victims into revealing sensitive personal information and authorizing transfers of funds. This approach exploited victims’ trust and a lack of awareness regarding Coinbase’s official communication policies.

Unlike traditional hacks involving technical exploits or breaches of security infrastructure, this scam relied entirely on manipulating human behavior. Victims were led to believe they were interacting with legitimate Coinbase representatives, which facilitated the unauthorized transfer of roughly $2 million in cryptocurrency assets.

Coinbase has publicly stated that it does not request sensitive information such as passwords or private keys via phone or email, urging users to be vigilant against phishing attempts. Law enforcement agencies have been notified of the scam, but the investigation faces difficulties due to the cross-border nature of the crime and the inherent anonymity of crypto transactions.

Why this matters

The ZachXBT case highlights a pivotal shift in the security landscape of Web3 and cryptocurrency ecosystems. While early concerns in crypto security focused heavily on technical vulnerabilities—such as smart contract bugs or exchange hacks—this incident demonstrates that social engineering attacks exploiting human psychology are now a dominant threat vector.

This shift carries broader implications for the crypto industry and regulators alike. Traditional cybersecurity defenses, including firewalls and encryption, are insufficient against scams that target users directly. Consequently, user education emerges as a critical component of any comprehensive security strategy, emphasizing the importance of clear, consistent communication from exchanges and community-driven awareness campaigns.

From a regulatory and law enforcement perspective, the case exposes ongoing challenges in addressing crypto fraud. The decentralized and borderless nature of cryptocurrency transactions complicates efforts to track perpetrators and prosecute offenders. This necessitates enhanced international cooperation and adaptation of investigative techniques to the unique characteristics of crypto crime.

What remains unclear

Several aspects of the case remain undisclosed or unresolved. There is no publicly available detailed report from law enforcement regarding any arrests, prosecutions, or the dismantling of the scammer’s infrastructure. It is also unclear whether victims have received any form of compensation or restitution.

Moreover, specifics on how exchanges like Coinbase are evolving their detection and prevention mechanisms beyond issuing security advisories have not been detailed. The effectiveness of current law enforcement collaborations in apprehending cross-jurisdictional scammers is also not documented, leaving questions about the practical enforcement capabilities against such fraud.

Finally, while emerging technologies such as AI-based fraud detection tools are often discussed as potential solutions, there is no concrete evidence or case study demonstrating their implementation or success in mitigating social engineering scams in real-time without compromising user privacy.

What to watch next

  • Announcements or disclosures from Coinbase or other exchanges regarding enhanced measures to detect and prevent social engineering scams beyond user advisories.
  • Updates from law enforcement agencies or judicial bodies on investigations, arrests, or prosecutions related to the Canadian scammer or similar cases.
  • Development and deployment of automated or AI-driven tools aimed at identifying and blocking social engineering attempts within crypto platforms.
  • Introduction of metrics or studies measuring the impact of user education programs on reducing social engineering fraud in the crypto space.
  • Regulatory or policy initiatives aimed at improving international collaboration and legal frameworks to address cross-border crypto fraud.

The ZachXBT case exemplifies the evolving nature of crypto security threats, where human factors increasingly undermine technical safeguards. While it confirms the urgency of bolstering user education and international law enforcement cooperation, significant gaps remain in understanding how these challenges will be addressed effectively. Ongoing transparency and innovation will be essential to mitigate the risks posed by social engineering scams in the rapidly expanding crypto ecosystem.

Source: https://beincrypto.com/zachxbt-exposes-canadian-scammer/. This article is based on verified research material available at the time of writing. Where information is limited or unavailable, this is stated explicitly.