Impersonation Fraud Drives Record $17bn in Crypto Losses
Chainalysis estimates $17bn will be lost to crypto scams in 2025 as AI takes hold
Scams use deception to steal money, credentials, or sensitive data, making them a cybersecurity risk for individuals and organizations.
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Background for this topic.
Scams are deceptive schemes intended to make people surrender money, credentials, sensitive information, or access. In information security, they commonly use phishing messages, impersonation, fraudulent websites, business-email compromise, fake technical support, or malicious attachments. Their defining feature is manipulation: the attacker creates a credible pretext and pressures the target to act before verifying the request.
Security teams should treat scams as an attack surface spanning email, messaging, telephone calls, social media, and payment workflows. Material risks include account takeover through stolen credentials, unauthorized payments, disclosure of personal or company data, and malware execution from deceptive content. Useful controls include phishing-resistant authentication, secure payment-change procedures with independent verification, filtering and domain protections, user training focused on reporting, and rapid review of suspicious messages or transactions. Incident handling may require revoking sessions, resetting credentials, contacting financial institutions, preserving evidence, and notifying affected parties where applicable.
Chainalysis estimates $17bn will be lost to crypto scams in 2025 as AI takes hold
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