{
  "added_at": "2026-11-06",
  "arxiv_id": "2404.19715",
  "arxiv_version_reviewed": "v1",
  "authors": [
    "Constantinos Patsakis",
    "Fran Casino",
    "Nikolaos Lykousas"
  ],
  "bibtex_url": "https://awesomerea.org/papers/citations/paper-llm-malware-deobfuscation.bib",
  "code_url": null,
  "date_basis": "First arXiv submission date.",
  "date_basis_zh": "arXiv 首次提交日期。",
  "date_precision": "day",
  "description_en": "The paper evaluates four LLMs on deobfuscating real-world malicious scripts from the Emotet malware campaign and examines their use in reverse engineering.",
  "description_zh": "论文使用 Emotet 恶意软件活动中的真实恶意脚本，评估四种大语言模型的去混淆能力及其在逆向工程中的应用。",
  "doi": null,
  "entry_url": "https://awesomerea.org/papers/paper-llm-malware-deobfuscation/",
  "entry_url_zh": "https://awesomerea.org/zh/papers/paper-llm-malware-deobfuscation/",
  "evidence_urls": [
    "https://arxiv.org/abs/2404.19715"
  ],
  "first_arxiv_date": "2024-04-30",
  "id": "paper-llm-malware-deobfuscation",
  "json_url": "https://awesomerea.org/papers/paper-llm-malware-deobfuscation/record.json",
  "kind": "research",
  "markdown_url": "https://awesomerea.org/papers/paper-llm-malware-deobfuscation/index.md",
  "markdown_url_zh": "https://awesomerea.org/zh/papers/paper-llm-malware-deobfuscation/index.md",
  "metadata_notes": "The date and venue come from the arXiv record.",
  "metadata_notes_zh": "日期和发表场所来自 arXiv 记录。",
  "pdf_url": "https://arxiv.org/pdf/2404.19715",
  "project_url": null,
  "publication_date": "2024-04-30",
  "publication_status": "preprint",
  "record_type": "paper",
  "runtime_tested": false,
  "scope_limitations_en": "The evaluation covers four LLMs and malicious scripts from the Emotet campaign.",
  "scope_limitations_zh": "评估范围为四种大语言模型和 Emotet 活动中的恶意脚本。",
  "targets": [
    "binary"
  ],
  "title": "Assessing LLMs in Malicious Code Deobfuscation of Real-world Malware Campaigns",
  "title_zh": "评估大语言模型对真实恶意软件活动中恶意代码的去混淆能力",
  "url": "https://arxiv.org/abs/2404.19715",
  "venue": "arXiv",
  "verification": "source-reviewed",
  "verified_at": "2026-11-06",
  "why_fits_en": "Deobfuscating malicious scripts helps researchers understand code behavior during malware reverse engineering.",
  "why_fits_zh": "对恶意脚本去混淆有助于研究人员在恶意软件逆向工程中理解代码行为。",
  "year": 2024
}