iSEngLab/LLM4VulFix
[2023 TDSC] Pre-trained Model-based Automated Software Vulnerability Repair: How Far are We?
This project helps software security researchers evaluate and benchmark different pre-trained models designed to automatically fix software vulnerabilities. It takes as input various software vulnerability datasets and pre-trained models, and outputs performance metrics showing how effectively these models can repair code. Security researchers and academics working on automated program repair would use this to understand the current state-of-the-art.
No commits in the last 6 months.
Use this if you are a security researcher or academic interested in replicating or extending research on automated software vulnerability repair using pre-trained models.
Not ideal if you are a software developer looking for a plug-and-play tool to automatically fix vulnerabilities in your production code.
Stars
25
Forks
2
Language
Python
License
—
Category
Last pushed
Jun 02, 2023
Commits (30d)
0
Get this data via API
curl "https://pt-edge.onrender.com/api/v1/quality/llm-tools/iSEngLab/LLM4VulFix"
Open to everyone — 100 requests/day, no key needed. Get a free key for 1,000/day.
Higher-rated alternatives
OWASP/www-project-top-10-for-large-language-model-applications
OWASP Top 10 for Large Language Model Apps (Part of the GenAI Security Project)
esbmc/esbmc-ai
Automated Code Repair suite powered by ESBMC and LLMs.
cla7aye15I4nd/PatchAgent
[USENIX Security 25] PatchAgent is a LLM-based practical program repair agent that mimics human...
iSEngLab/AwesomeLLM4APR
[TOSEM 2026]A Systematic Literature Review on Large Language Models for Automated Program Repair
YerbaPage/MGDebugger
Multi-Granularity LLM Debugger [ICSE2026]