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2026 Phishing Trends Report

Download The Full 2026 Phishing Trends Report

The industry benchmark for phishing attacks that bypass filters and trigger malicious clicks.

Based on 50+ million data points from over 4 million users worldwide, this report reveals how phishing evolved across 2025 and into 2026 — including a 14X surge in AI-generated phishing attacks, the rise of callback phishing, growing mobile risk, malicious calendar invites, and fast-emerging attachment tactics.

What you’ll learn:

  • Why AI phishing surged from 4% to 56% of reported threats in December 2025
  • Which phishing tactics are rising fastest, including links, attachments, open redirects, and callback lures
  • Why users are 3X more likely to click on mobile
  • How adaptive training can drive a 6X improvement in reporting and reduce malicious clicks by 86%

Download the report to benchmark your phishing risk and see what actually improves human resilience.

Why This Matters

Most phishing reports focus either on threat trends or training outcomes. What makes this analysis different is the ability to connect the two.

Hoxhunt’s platform unifies real phishing threats and simulated phishing exercises, allowing researchers to observe emerging attack techniques and immediately measure how users respond in practice. This creates a continuous feedback loop between threat intelligence, human behavior, and measurable risk reduction.

For example, when Hoxhunt analysts detected a surge in malicious .ics calendar invite attacks, the tactic was quickly incorporated into phishing simulations. The results revealed a significant gap: 24% of users failed the simulation, compared with the typical 4–6% failure rate for users with similar training levels.

Insights like these show not only which attack techniques are rising, but also which ones are most likely to succeed against real employees—helping security leaders prioritize defenses, tailor training, and reduce human cyber risk faster.

AI phishing surged by 14x in December 2025: what does it mean, and what can you do about it?
See which lures, brands, and workflows are most abused in the current threat landscape, and how you can defend against these attacks.
Learn how to use threat intelligence to prioritize defensive measures and design training that matches real attacks, not lab scenarios.
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