
The rapid proliferation of autonomous artificial intelligence agents in 2026 has introduced a sophisticated and largely overlooked attack vector known as HalluSquatting, which leverages the inherent tendency of large language models to fabricate non-existent information. This vulnerability emerges when an AI coding assistant, tasked with solving a complex technical problem, generates a plausible but entirely fictitious name for a software










