Our latest fraud and scams advisory

· Source: The Keyword · Field: Technology & Digital — Cybersecurity & Data Privacy, Emerging Technologies & Innovation · Depth: Intermediate, long

Summary

Google's Trust & Safety teams released their latest advisory on June 8, 2026, detailing current online scam trends and protective measures. Global fraud losses are estimated at nearly \$580 billion for 2025, with one in five adults falling victim. The advisory highlights four key areas: sophisticated Adversary-in-the-Middle (AITM) and "Quishing" attacks that bypass MFA by mirroring login flows and capturing session cookies; AI cryptocurrency investment scams, which caused over \$11 billion in losses for Americans in 2025, using fake giveaways and malicious code; evolving mobile extortion tactics via finance apps that exploit accessibility services post-installation; and police impersonation schemes, particularly in South Asia, Southeast Asia, and GCC countries, involving "digital arrests" and demands for "legal fees." Google employs AI, policy enforcement, and litigation, including Device Bound Session Credentials (DBSC) and the Android Developer Verification Program, to combat these threats.

Key takeaway

For IT professionals and security engineers managing organizational and user safety, this advisory underscores the need for proactive defense against evolving online threats. You should prioritize implementing advanced security measures like Device Bound Session Credentials (DBSC) to counter AITM attacks and educate users on the risks of QR code phishing and unsolicited communications. Additionally, scrutinize app permissions and post-installation behaviors, especially for mobile finance applications, and reinforce skepticism towards "guaranteed" crypto investments or demands from alleged law enforcement via unofficial channels.

Key insights

Online scams are evolving rapidly, employing sophisticated technical bypasses and social engineering to exploit users for financial gain.

Principles

Method

Google's approach combines AI-driven detection, policy enforcement (e.g., Unreliable Claims, Unacceptable Business Practices), technical mitigations like Device Bound Session Credentials (DBSC), and affirmative litigation against malicious actors.

In practice

Topics

Best for: CTO, VP of Engineering/Data, Executive, General Interest, Security Engineer, IT Professional

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Editorial summary, takeaway, and curation by AIssential. Original article published by The Keyword.