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ALIBI: Adversarial Legitimacy Injection in Binary Input against LLM Malware Analyzers
Large language models are being integrated into malware triage workflows as reasoning components that summarize static evidence and produce analyst-facing verdicts. This paper shows that the same reasoning capability introduces a new attack surface. We present ALIBI, a semantic cover story attack ag
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