soarsmu/midas
MiDas: Multi-granularity Detector for Vulnerability Fixes (IEEE TSE)
This tool helps software security engineers and quality assurance teams automatically identify code changes that fix security vulnerabilities. It analyzes different parts of a code commit, such as the overall commit message, changed files, specific code blocks (hunks), and individual lines, to determine if the commit addresses a security flaw. The output is a classification of whether a given commit is a vulnerability fix.
No commits in the last 6 months.
Use this if you need to efficiently scan code repositories to pinpoint which commits are specifically resolving security vulnerabilities.
Not ideal if you are looking for a tool to find new vulnerabilities in code rather than identifying existing fixes.
Stars
15
Forks
2
Language
Python
License
—
Category
Last pushed
Dec 05, 2023
Commits (30d)
0
Get this data via API
curl "https://pt-edge.onrender.com/api/v1/quality/llm-tools/soarsmu/midas"
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]