Phantom Squatting: Exploiting LLM Hallucinations for Phishing and Supply Chain Attacks
Phantom squatting is a novel attack vector that exploits the deterministic nature of Large Language Model (LLM) hallucinations. Unlike traditional typosquatting, attackers identify non-existent but plausible domains and package names generated by LLMs and pre-register them. This enables two primary exploitation paths: directing users to malicious phishing landing pages via hallucinated URLs and compromising developer environments through the installation of rogue software packages on repositories like npm and PyPI. Because these domains lack a legitimate predecessor, they effectively evade conventional brand-protection and lookalike-domain monitoring tools, leveraging the inherent authority bias users place in AI-generated technical guidance.