System vuln scanner: analyze your architecture, find attack chains, estimate time-to-compromise
More than "list the CVEs." It finds how individual weaknesses chain into an attack and estimates how long an AI-augmented attacker would need to break in. A take on the OpenAI Daybreak concept, built for small teams. Feed in a stack description (Next.js + Supabase + Clerk, etc.) and get back critical paths plus a patch-priority order.
Input system description → Output: critical attack paths + AI-assisted risk rating + time-to-compromise + remediation prioritized by exploitability
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Complements gpt-ai-attacker-perspective-audit: that one audits your personal digital footprint, this one audits your stack architecture. Better suited for SaaS founders and solo full-stack developers. Think of it as an open-source version of the OpenAI Daybreak concept, for people without an OpenAI compute budget.
Audit Summary 含 critical paths 數量 + 每個發現的 severity + AI-assisted risk 評等 + attack chain 串連分析 + time-to-compromise 估計 + 分層補丁（quick fix vs structural）
A description of the intended result. Check this entry's testing notes and try the prompt with your own inputs.
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