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Human Risk Management Blog

Warning: ARToken Phishing Kit Automates BEC Attacks The New Face of AI Risk Trust Nothing: Tips to Secure AI Tools and Agents CyberheistNews Vol 16 #29 ClickFix Social Engineering is Now the Leading Malware Delivery Method Beyond the Checkbox: How a Proactive Partnership Led to Turnkey Hazing Compliance Trust, Verify, Protect: Modernizing Email Security for the Cloud Report: Social Engineering Remains a Central Part of AI-assisted Attacks ClickFix Social Engineering is Now the Leading Malware Delivery Method CyberheistNews Vol 16 #28 Your 2026 Phishing by Industry Benchmarks: The Findings on Human Risk Scammers Can Use AI Tools to Pinpoint Your Location Based on a Photo Report: Attackers Are Using AI to Automate Social Engineering Your KnowBe4 Fresh Compliance Plus Content Updates from June 2026 From Awareness to Digital Workforce Security Your KnowBe4 Fresh Content Updates from June 2026 Threat Actor Uses Phishing to Breach Orgs for Ransomware Gangs Invoice Phishing Attacks Are Abusing the Shop App Phishing Campaign Impersonates Interpol to Deliver Ransomware Prompt Injection and the Rise of Agentic Risk Hyper-Targeted Social Engineering Needs Real-Time Video Response Your Email is Protected. 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Attackers Exploit AI Hallucinations to Send Users to Phishing Sites
KnowBe4 Team · 2026-07-23 · via Human Risk Management Blog

Threat actors are using a new technique called “phantom squatting” to trick AI tools into directing users to phishing sites, according to researchers at Palo Alto Networks’ Unit 42.

Since AI models frequently hallucinate phony information, they sometimes point users to websites that don’t exist. Threat actors are now registering these AI-hallucinated domains and using them to host phishing sites.

“To detect the risk posed by phantom squatting, we analyzed 913 global brands and executed 685,339 URL queries across multiple configurations of two distinct LLM models,” Unit 42 says. “This generated 2.1 million URLs and revealed over 13,229 confirmed malicious URLs. Furthermore, we discovered approximately 250,000 hallucinated domains that remain unregistered, presenting a significant opportunity for adversaries to exploit the software supply chain through preemptive registration.”

This technique exploits users’ trust in AI tools to generate accurate information. Users are more likely to trust a link provided by an AI chatbot than one sent in an unsolicited email or text message.

“Any user or autonomous AI agent that issues a query triggering the hallucinated URL receives an authoritative, high-confidence recommendation to navigate directly to attacker-controlled infrastructure,” the researchers write. “This represents a defining characteristic of the phantom squatting threat. The delivery vector bypasses traditional phishing emails, malvertising or watering hole attacks. Instead, the delivery mechanism is the trusted AI assistant already integrated into the user’s workflow.”

Attackers are quickly adopting this technique, and in at least one case have already incorporated it into a phishing kit called “Montana Empire.”

“Armed with a prioritized inventory of phantom domains, adversaries proceed to preemptively register those most valuable for attacks,” the researchers write. “For generic top-level domains (TLDs), the barriers to entry are negligible. Registration is both economical and nearly instantaneous. Our analysis confirms that threat actors operate with significant speed, often well within the window of any feasible defensive response. In observed real-world telemetry, these domains transitioned from initial registration to active malicious content deployment within hours. In the case of Montana Empire, the adversary had even staged the server-side phishing kit prior to the domain’s registration, demonstrating a highly optimized zero-reputation bypass strategy.”

Unit 42 has the story: Phantom Squatting: AI-Hallucinated Domains as a Software Supply Chain Vector