Financial Services & Fintech brands remain one of the most consistently targeted sectors for impersonation and fraud, but Doppel telemetry from late 2025 through early 2026 highlights a meaningful shift, not just in volume, but in how attacks are executed. What were once fragmented phishing attempts have evolved into coordinated, multi-channel social engineering campaigns designed for scale, persistence, and higher conversion rates.
From December through January, activity settled into a holiday baseline, reflecting a more distributed threat landscape across industries. That baseline did not hold for long. Beginning in February, and accelerating sharply into March, attacker activity surged. By March, indexed activity had increased nearly fourfold compared to January, signaling a rapid escalation in both campaign volume and operational sophistication.
This increase is not simply a matter of more activity. It reflects more effective attack strategies. Adversaries are leveraging platforms like social media, paid advertising, messaging applications, and email in tandem, creating layered engagement funnels that guide victims from initial exposure to final compromise. The result is a threat environment where campaigns can scale quickly, adapt in real time, and sustain pressure over extended periods.
Early April data indicates that this momentum is continuing rather than peaking. Even as a partial month, activity is tracking above March levels, reinforcing that this is not a short-lived spike tied solely to seasonal factors. While tax season remains a key driver for financial targeting, the data points to a broader evolution in attacker behavior, one that prioritizes reach, automation, and cross-channel coordination.
Taken together, these trends underscore a critical reality: the threat landscape for Financial Services is not only growing, but becoming more structured and efficient. Understanding this shift is essential for anticipating where attackers will move next and how to effectively disrupt them.

Total activity by month (indexed)









