The Rise of Slopsquatting: How AI Hallucinations Are Fueling...
Blog post from Socket
Slopsquatting is a new type of software supply chain attack, fueled by AI hallucinations from Large Language Models (LLMs) such as Copilot and ChatGPT, which recommend non-existent package names that attackers can register and weaponize. This phenomenon arises when AI tools hallucinate plausible yet fake package names, leading developers to inadvertently install them. A comprehensive study has shown that a significant percentage of recommended packages by LLMs are hallucinated, with open source models hallucinating more frequently than commercial ones. The study also found that hallucinations are often repeatable, making them valuable for attackers, and that higher temperature settings in models increase hallucination rates. While some models like GPT-4 Turbo can internally detect hallucinated packages with high accuracy, the risk remains significant, especially with the rise of "vibe coding," where developers rely heavily on AI-generated code. This underscores the need for improved security tools that can identify and prevent the installation of suspicious packages in software development workflows.
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