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Awesome-LLM4Cybersecurity — Curated systematic literature review of 756+ papers on LLM applications in cybersecurity, covering threat intelligence, vulnerability detection, fuzzing, attack/defense, and future research directions. | Kitploit
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GitHubtmylla/awesome-llm4cybersecurity

Awesome-LLM4Cybersecurity

Curated systematic literature review of 756+ papers on LLM applications in cybersecurity, covering threat intelligence, vulnerability detection, fuzzing, attack/defense, and future research directions.

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1.7k1881 month agoReviewed by Kitploit

When LLMs Meet Cybersecurity: A Systematic Literature Review

     

🔍 Explore 756+ Papers Across 11 Research Categories

📊 RQ1: Domain LLMs | 🎯 RQ2: Applications | 🤖 RQ3: Future Directions

Updates

📆[2026-06-15] We have updated the related papers up to 2026/06/15, with 108 new papers added.

📆[2026-02-09] We have updated the related papers up to 2026/01/31, with 80 new papers added (2025.08.31-2026.01.31).

📆[2025-11-17] We have updated the related papers up to 2025/08/31, with 176 new papers added (2025.03.01-2025.08.31).

📆[2025-03-03] We have updated the related papers up to 2025/02/28, with 33 new papers added (2025.01.01-2025.02.28).

📆[2025-01-21] We have updated the related papers up to 2024/12/31, with 74 new papers added (2024.09.01-2024.12.31).

📆[2025-01-08] We have included the publication venues for each paper.

📆[2024-09-21] We have updated the related papers up to 2024/08/31, with 75 new papers added (2024.06.01-2024.08.31).

Brief Introduction

📊 Paper Distribution by Research Question


📜 Literatures

👉 View Full Literature Review →

The complete literature review with 756+ papers has been moved to a separate file for better readability.

Quick Links by Research Question:

  • RQ1: Domain LLMs Construction

    • Cybersecurity Evaluation Benchmarks (67 papers)
    • Fine-tuned Domain LLMs (36 papers)
  • RQ2: LLM Applications in Cybersecurity

    • Threat Intelligence (53 papers)
    • FUZZ (26 papers)
    • Vulnerability Detection (106 papers)
    • Program/Vulnerability Repair (72 papers)
    • Insecure Code Generation (32 papers)
    • LLM Assisted Defense (130 papers)
    • LLM Assisted Attack (110 papers)
    • Others (61 papers)
  • RQ3: Future Research Directions

    • Agent4Cybersecurity (63 papers)

BibTeX

root@kitploit:~
@article{zhang2025llms,
  title={When llms meet cybersecurity: A systematic literature review},
  author={Zhang, Jie and Bu, Haoyu and Wen, Hui and Liu, Yongji and Fei, Haiqiang and Xi, Rongrong and Li, Lun and Yang, Yun and Zhu, Hongsong and Meng, Dan},
  journal={Cybersecurity},
  volume={8},
  number={1},
  pages={1--41},
  year={2025},
  publisher={SpringerOpen}
}

Star History

Star History Chart

Download Tool
RQCategoryPapersPercentageTrend
RQ1📊 Evaluation Benchmarks678.9%📊 Stable
🔧 Fine-tuned LLMs364.8%📊 Stable
RQ2🛡️ LLM Assisted Defense13017.2%📈 Growing
🐛 Vulnerability Detection10614.0%📈 Growing
⚔️ LLM Assisted Attack11014.6%🔥 Hot
🔨 Program/Vulnerability Repair729.5%📊 Stable
📦 Others618.1%📊 Stable
🎯 Threat Intelligence537.0%📊 Stable
🔍 FUZZ263.4%📊 Stable
⚠️ Insecure Code Generation324.2%🚫 Unmaintained
RQ3🤖 Agent4Cybersecurity638.3%🚀 Emerging