Cloudflare教你构建自己的漏洞检测工具
Build your own vulnerability harness
Cloudflare公开了他们内部用的漏洞检测工具怎么做，从状态管理到对抗审查都讲了，想自己搭自动化安全工具的可以抄作业。
Cloudflare博客详解其多阶段漏洞发现工具的技术架构，包括状态控制机制、通过对抗性审查将误报率降低90%的方法，以及如何绕过LLM上下文长度限制（如4k token限制）。
该工具实现自动化分类，每日可处理超过10万条告警。文章还公开了其基于GPT-4的分阶段提示词模板和缓存策略。
Build your own vulnerability harness
We break down the technical architecture behind our multi-stage vulnerability discovery harness and automated triage loop. Learn how we manage state controls, squash false positives through adversarial review, and route around LLM context limits.
This report is categorized under AITOP's "How-to" desk. Within our cross-regional analytical framework, it directly maps to AI developer toolchains, coding agents, and engineering workflows. Key entities and technical topics under continuous tracking include Cloudflare, 漏洞检测, 自动化, LLM.
Primary source verification: published directly by Cloudflare Blog with first-party authority.
