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nealbridges/VulnHunter

Agentic AI security scanner that hunts exploitable vulnerabilities like an adversary, proves them with executable PoCs, and fixes them test-first. A maintained fork of Capital One's VulnHunter, rebuilt for any agent harness.

Latest metrics (snapshot 2026-10-14)

stars725
forks115
issues0
pushed_at2026-10-14T15:55:13Z

History

History chart: 1 daily snapshot so far (archive started 2026-10-14). The line fills in as the daily archive grows; full series via the API.

DateGitHub stars
2026-10-14725

ADC Momentum: 62/100

ADC Momentum 62 Leaderboard

Growth velocity69
Consistency55
Recency99
Agent demand0
Basisbootstrap

ADC Momentum (0-100) = 45% growth velocity (stars/likes gained per day in our daily archive, relative and absolute, percentile-ranked within the category) + 20% consistency (share of recent days with growth) + 20% recency (latest push/update/release, decaying) + 15% agent demand (how often AI agents looked it up via our API/MCP this week). MCP servers use release cadence; LLMs use price cuts, context and recency. Recomputed daily; scores marked "bootstrap" use lifetime rates until the archive has enough days. Method

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Details

descriptionAgentic AI security scanner that hunts exploitable vulnerabilities like an adversary, proves them with executable PoCs, and fixes them test-first. A maintained fork of Capital One's VulnHunter, rebuilt for any agent harness.
urlhttps://github.com/nealbridges/VulnHunter
languagePython
licenseApache-2.0
topicsagent-harness
agentic-ai
appsec
exploit-verification
poc
sast
security
vulnerability-scanner
created_at2026-09-22T23:22:00Z

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