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VulnClaw

VulnClaw is a skill AI agent for Automate vulnerability discovery, exploitation, and report generation for a target system using natural language instructions. Pricing: Free. As of 2026-10-23, KanonAgent records 64 upvotes. First indexed by KanonAgent on 2026-08-06.
VulnClaw lets security researchers and penetration testers automatically find and exploit vulnerabilities in systems by simply describing the target in plain language, then generating full test reports.
VulnClaw — official preview image
64 upvotes
Tracked by Kanon since Aug 6, 2026
no signal yet
status
50/100
momentum · conf 0.92
62d
tracked since 2026-08-22
10
evidence records

No signal event on file yet — status is unknown, not "quiet".

📈 Timelinewhat changed, and when
🔎 Known / Unknown 11 of 23 fields unknown
Machine-callable— unknown —
Open source1 verified 1 quote(s)
Self-hostable1 inferred 1 quote(s)
Bring your own key1 inferred 1 quote(s)
Autonomy level3 inferred 3 quote(s)
Pricing model— unknown —
Integrationsmcp inferred 1 quote(s)

“Unknown” means we have not verified it — it is not a “no”. Hard filters never treat unknown as false.

🤖 Agent teardown · skill
Job to be doneAutomate vulnerability discovery, exploitation, and report generation for a target system using natural language instructions.
AutonomyL3 · plans autonomously(evidence: "何时调用工具、何时完成/询问/判定无路可走…")
Who it is forSecurity researchers and penetration testing engineers
Prerequisitesopen source · self-hostable · bring your own API key
Integrationsmcp
PricingFree
Traction · why it is risingGained attention on ProductHunt with 69 votes, highlighting growing interest in AI-driven automation for cybersecurity tasks.
Why it matters

It demonstrates a cutting-edge integration of AI agents with MCP toolchains to enable end-to-end automation from natural language input to complete penetration testing workflows.

Evidence quotesverbatim, from the product’s own materials

“public GitHub repository (README fetched)”— structural
“本项目是可独立运行的 AI 渗透测试 Agent。”— readme
“配合 OpenAI / Anthropic / MiniMax / DeepSeek 等兼容模型”— readme
“何时调用工具、何时完成/询问/判定无路可走”— readme
“模型自己决定下一步、何时调用工具、何时完成”— readme
“轻量纠偏层 — 工具调用前后记录重复调用、失”— readme
Python
Signal source: GitHub
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FAQ

What is VulnClaw?

VulnClaw lets security researchers and penetration testers automatically find and exploit vulnerabilities in systems by simply describing the target in plain language, then generating full test reports.

What does VulnClaw do?

Automate vulnerability discovery, exploitation, and report generation for a target system using natural language instructions.

Why does VulnClaw matter?

It demonstrates a cutting-edge integration of AI agents with MCP toolchains to enable end-to-end automation from natural language input to complete penetration testing workflows.

How much does VulnClaw cost?

Free

Is VulnClaw free?

Yes — VulnClaw has a free tier. Pricing as stated on its own page: Free

Is VulnClaw open source?

Yes — VulnClaw is open source.

Can I self-host VulnClaw?

Yes — VulnClaw can be self-hosted.

What does VulnClaw integrate with?

mcp

How popular is VulnClaw?

As tracked by KanonAgent: 64 upvotes (first indexed 2026-08-06).

What are the best VulnClaw alternatives?

Similar AI agents tracked by KanonAgent: Stealth Venture, archify, open-design, deer-flow, ruflo, career-ops.

VulnClaw alternatives — similar AI agents

Stealth Venturearchifyopen-designdeer-flowruflocareer-ops

Where this fits — browse the same shelf

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