by capitalone · Agent Tool · ★ 678
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VulnHunter From pattern-matching to provability. VulnHunter is an open-source, agentic AI security tool that applies proactive, attacker-first analysis directly to source code. Unlike traditional, passive SAST scanners that flag suspicious patterns and often cause false positives, VulnHunter reasons like an adversary. It identifies which defects are actually exploitable, maps prospective attack paths, and proposes targeted, evidence-backed fixes. Modern software supply chains are deeply interconnected. A single vulnerability in a widely-used open-source component can ripple across thousands of enterprises simultaneously. Developed internally at Capital One, VulnHunter is released to the community because no single organization can solve this challenge alone. [!WARNING] Cyber-safeguard disclaimer VulnHunter performs dual-use cybersecurity work (vulnerability discovery and exploitation). If you run it against an Anthropic account that is not enrolled in Anthropic's Cyber Verification Program, real-time cyber safeguards may block requests and your usage may be flagged for cyber abuse.
| Stars | 678 |
| Forks | 92 |
| Language | Python |
| Category | Agent Tool |
| License | Apache-2.0 |
| Quality Score | 68.2297040663987/100 |
| Open Issues | 6 |
| Last Updated | 2026-07-23 |
| Created | 2026-07-07 |
| Platforms | python |
| Est. Tokens | ~16k |
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VulnHunter is Agentic AI security tool that applies proactive, attacker-first analysis directly to source code.. It is categorized as a Agent Tool with 678 GitHub stars.
VulnHunter is primarily written in Python.
You can find installation instructions and usage details in the VulnHunter GitHub repository at github.com/capitalone/VulnHunter. The project has 678 stars and 92 forks, indicating an active community.
VulnHunter is released under the Apache-2.0 license, making it free to use and modify according to the license terms.
The top alternatives to VulnHunter on Agent Skills Hub include raptor, skills, claude-forge. Each offers a different approach to the same problem space — compare them side-by-side by stars, quality score, and community activity.