by alexdevassy · Agent Tool · ★ 64
Vulnerability impact analyzer that reduces false positives in SCA tools by performing intelligent code analysis. Uses agentic AI with open source models to understand CVEs and verify actual vulnerability impact in your codebase. Keeps your code secure with on-premises execution and human-in-the-loop verification.
| Stars | 64 |
| Forks | 8 |
| Language | Python |
| Category | Agent Tool |
| License | MIT |
| Quality Score | 31.3/100 |
| Last Updated | 2025-02-22 |
| Created | 2025-02-18 |
| Platforms | python |
| Est. Tokens | ~51k |
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AI-Powered-Vulnerability-Impact-Analyzer is Vulnerability impact analyzer that reduces false positives in SCA tools by performing intelligent code analysis. Uses agentic AI with open source models to understand CVEs and verify actual vulnerabil. It is categorized as a Agent Tool with 64 GitHub stars.
AI-Powered-Vulnerability-Impact-Analyzer is primarily written in Python.
You can find installation instructions and usage details in the AI-Powered-Vulnerability-Impact-Analyzer GitHub repository at github.com/alexdevassy/AI-Powered-Vulnerability-Impact-Analyzer. The project has 64 stars and 8 forks, indicating an active community.
AI-Powered-Vulnerability-Impact-Analyzer is released under the MIT license, making it free to use and modify according to the license terms.