無害に見えて有害:エージェントスキルにおけるステルスな幻覚誘導のためのニュートラルプロンプト攻撃
Harmless Yet Harmful: Neutral Prompting Attacks for Stealthy Hallucination Steering in Agent Skills
LLM駆動のコーディングエージェントが幻覚で存在しないパッケージ名を生成する際、攻撃者がその名前を登録して悪用するサプライチェーンリスクを新たに提案し、無害な指示文が幻覚を増加させる攻撃手法を実証した論文。
著者: Chia-Yi Hsu, Chia-Mu Yu, Chun-Ying Huang, Jun Sakuma
分類: cs.CR, cs.LG
原文アブストラクト
LLM-powered coding agents increasingly participate in software development workflows by generating code, selecting dependencies, and producing package installation commands. This creates a new software supply chain risk: when an agent hallucinates a non-existent package, an attacker may register the hallucinated name and later compromise users who install it. Existing package hallucination attacks and defenses primarily focus on naturally occurring hallucinations, targeted dependency steering, or post-hoc package validation. In this paper, we introduce \emph{Neutral Prompting Attack} (NPA), a highly stealthy attack paradigm in which semantically benign instructions, such as encouraging imagination and exhaustiveness, increase package hallucination propensity without containing explicit malicious intent. Unlike targeted dependency steering, NPA does not specify an attacker-chosen package. Instead, it shifts the model's dependency generation behavior toward more speculative package names. We evaluate NPA across multiple coding-oriented LLMs and package hallucination benchmarks. Our results show that NPA increases both \emph{Hallucination ASR} and \emph{Pip Install ASR}, changes the distribution of hallucinated package names, and evades existing static-analysis, LLM-based, and agent-based Skill defenses. These findings reveal that harmless-looking prompts can covertly manipulate hallucination behavior and create downstream software supply chain risks.