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Microsoft Dominates Brand Phishing Landscape in Q3 2026

Microsoft Dominates Brand Phishing Landscape in Q3 2026

First seen 19 Oct 2026, 16:49 UTC • •

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ThreatCluster AI
ThreatCluster •October 19, 2026 at 17:50 UTC

In Q3 2026, Microsoft accounted for 33% of all brand phishing attempts, a significant increase from 23% in Q2. Apple and Google followed, each with 8%, while Amazon held 4%. Attackers are increasingly targeting technology brands, social networks, and banking sectors, where users maintain valuable accounts. New tactics include impersonating AI platforms like Claude and Google Antigravity, utilizing fake billing alerts and malicious installation commands. These phishing attempts aim to exploit user trust in widely used services. The trend indicates a shift towards more sophisticated phishing techniques, moving beyond simple credential theft. The report highlights the growing risk for users in the technology sector and emphasizes the need for heightened awareness and security measures.

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Timeline

2026-10-16
Q3 2026 Brand Phishing Report released
Check Point Research published findings showing Microsoft at 33% of brand phishing attempts, up from 23% in Q2.
Blog.Checkpoint
2026-10-19
Phishing tactics evolve
New phishing tactics targeting AI platforms like Claude and Google Antigravity were reported, indicating a shift in attacker strategies.
www.cxoinsightme.com
2026-10-19
Analysis of brand phishing trends
Reports confirm that technology brands remain the most impersonated, with significant increases in phishing attempts against Dropbox and YouTube.
www.itsecuritynews.info

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Common questions

Which brands are most affected by phishing?
Microsoft, Apple, and Google are the most impersonated brands, with Microsoft leading at 33%.
What new tactics are being used in phishing attacks?
Attackers are now impersonating AI platforms and using fake billing alerts and malicious installation commands.
How can organizations protect against these phishing attempts?
Organizations should enhance user awareness and implement security measures to detect and prevent phishing attacks.