ALIBI: Adversarial Legitimacy Injection in Binary Input against LLM Malware Analyzers

arXiv:2609.19722 · cs.CR, cs.LG · Submitted 2026-09-17 · Read on arXiv

cs.CR, cs.LG

Submitted: 2026-09-17

Updated: 2026-09-17

Comments: 12 pages, 4 figures, 4 tables

License: http://arxiv.org/licenses/nonexclusive-distrib/1.0/

Terminology

• Analyzer — 40× in this paper · explained in 1 episode
• Verification — 20× in this paper · explained in 2 episodes
• Provenance — 10× in this paper · explained in 4 episodes
• Benchmark — 6× in this paper · explained in 2 episodes
• Alignment — 5× in this paper · explained in 1 episode
• Commentary — 5× in this paper · explained in 2 episodes
• Abstention — 4× in this paper · explained in 1 episode
• Abstraction — 4× in this paper · explained in 1 episode
• Trace — 4× in this paper · explained in 2 episodes
• Ablation — 3× in this paper · explained in 1 episode
• Adversarial Legitimacy Injection in Binary Input — 3× in this paper
• Robustness — 3× in this paper · explained in 5 episodes
• Benchmarking — 2× in this paper · explained in 4 episodes
• Failure Modes — 2× in this paper · explained in 3 episodes
• Accuracy — 1× in this paper · explained in 1 episode
• Adaptation — 1× in this paper · explained in 1 episode
• Adversarial Examples — 1× in this paper · explained in 2 episodes
• Generalization — 1× in this paper · explained in 13 episodes
• Generative AI — 1× in this paper · explained in 2 episodes
• Interpretability — 1× in this paper · explained in 15 episodes
• Introspection — 1× in this paper · explained in 2 episodes
• Iterative Refinement — 1× in this paper · explained in 3 episodes
• Large Language Model (LLM) — 1× in this paper · explained in 3 episodes
• Structured Reasoning — 1× in this paper · explained in 3 episodes
• Thinking mode — 1× in this paper · explained in 2 episodes

Sources

• Semantic Preprocessing for LLM-based Malware Analysis
• Prompt Injection attack against LLM-integrated Applications
• EMBER: An Open Dataset for Training Static PE Malware Machine Learning Models
• Malware Detection by Eating a Whole EXE

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