huhusmang/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
- Stars
- 1.5k
- Forks
- 154
- Open issues
- 2
- Last push
- 1d ago
About Awesome-LLMs-for-Vulnerability-Detection
Awesome-LLMs-for-Vulnerability-Detection is a free, open-source AI resource list by huhusmang, written mainly in Python. 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. It has 1.5k GitHub stars and 154 forks, and was last updated 1d ago. It's released under the MIT license, a standard open-source license.
- License
- MIT
- Language
- Python
- Stars
- 1,493
- Last update
- 1d ago
- Runs on Mac
- Not stated
- GPU
- Not stated
- Paid API key
- Not stated
- Self-hostable
- Not stated
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Awesome-LLMs-for-Vulnerability-Detection FAQ
Is Awesome-LLMs-for-Vulnerability-Detection free?
Yes. Awesome-LLMs-for-Vulnerability-Detection is open source and free to use. It's released under the MIT license, a standard open-source license.
Does Awesome-LLMs-for-Vulnerability-Detection run on a Mac?
The project doesn't say. Check its installation guide before you start.
Does Awesome-LLMs-for-Vulnerability-Detection need a GPU?
The project doesn't state hardware needs. AI models generally run much faster with a GPU.
Is Awesome-LLMs-for-Vulnerability-Detection still maintained?
Yes. It was last updated 1d ago and has 2 open issues on GitHub.
What are alternatives to Awesome-LLMs-for-Vulnerability-Detection?
Similar free, open-source tools include h4cker, anomaly-detection-resources, KG-LLM-Papers, tiny-llm.