HalluSquatting: How AI's Hallucinations Could Fuel Massive Botnets

The researchers call it HalluSquatting — short for adversarial hallucination squatting — and the reason it matters is that it flips the usual attacker script. Instead of pushing poisoned prompts at one model at a time, attackers sit back and let LLMs come to them. The trick works because language models, given a new enough package, URL, or repository, will confidently invent a plausible-looking identifier that doesn't exist. Register that identifier first, and the next AI agent that "looks it up" walks straight into your trap.

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