Awesome LLMS For Vulnerability Detection

The community's most comprehensive, continuously-updated index of research on Large Language Models for software vulnerability detection — papers across function-level, repository-level, agentic, and smart-contract detection, plus datasets, benchmarks, and surveys.

What you get

Awesome LLMS For Vulnerability Detection is a free, open-source learning resource published on GitHub by huhusmang. The community's most comprehensive, continuously-updated index of research on Large Language Models for software vulnerability detection — papers across function-level, repository-level, agentic, and smart-contract detection, plus datasets, benchmarks, and surveys. GitHub stars: 1,503 License: MIT (free to use) Language: Python Topics: awesome-list, code-security, large-language-models, llm, security, static-analysis, vulnerability-detection Last updated: 2026-11-03 How to get it: open the repository on GitHub, read the README and follow the setup steps. HEEEXY lists it in the Lab because it is popular, actively maintained and openly licensed.

More for learn ai

  • The Art Of Hacking H4cker: This repository is maintained by Omar Santos (@santosomar) and includes thousands of resources related to ethical hacking, bug bounties, digital forensics and incident response (DFIR), AI security, vulnerability research, exploit development, reverse engineering, and more.
  • Awesome Generative AI: A curated list of modern Generative Artificial Intelligence projects and services
  • Awesome Free LLM Apis: List of Permanent Free LLM API (API Keys)