好的，我现在需要帮用户总结一篇文章的内容，控制在100个字以内。用户的要求很明确，不需要以“文章内容总结”或“这篇文章”开头，直接写描述即可。 首先，我仔细阅读了用户提供的文章。文章主要讲的是自动化漏洞监控工具n8n的使用。作者提到NVD发布了47个新的CVE，但其中大部分与用户的基础设施无关，导致信息过载。作者厌倦了手动筛选，于是创建了一个自动化工作流，每天扫描6个安全源，根据用户的堆栈关键词过滤CVE，并将结果发送到Discord。 接下来，我需要提炼出关键点：自动化监控、过滤与用户堆栈相关的漏洞、节省时间、提高效率。同时，要确保语言简洁明了，不超过100字。 可能会遇到的问题是如何在有限的字数内涵盖所有重要信息。我需要找到最核心的要点：自动化工具、过滤机制、节省时间、如何实现。这样可以确保总结既全面又简洁。 最后，检查字数是否符合要求，并确保表达清晰。这样用户就能快速了解文章的主要内容和价值。 </think> 文章介绍了一种基于n8n的自动化漏洞监控工具，能够根据用户的基础设施自动过滤相关CVE信息，并将结果发送到Discord。该工具每天扫描6个安全源，匹配用户的堆栈关键词，并提供实时CVSS评分和威胁排名。 2026-4-26 03:1:30 Author: infosecwriteups.com(查看原文) 阅读量:4 收藏
Automated, stack‑aware vulnerability monitoring powered by n8n
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Last Tuesday, the NVD published 47 new CVEs.
You need to care about maybe 3 of them.
The other 44? Irrelevant to your stack. Noise. Time you’ll never get back if you read them all.
This is the actual problem with CVE monitoring, not that there’s too much information, but that nobody filters it to your infrastructure before it reaches you. Generic CVE feeds treat a WordPress developer and a Wazuh SOC engineer as the same person. They’re not. Your PostgreSQL database doesn’t care about a Cisco IOS vulnerability. Your n8n instance doesn’t care about a VMware ESXi exploit.
But most tools make you figure that out yourself, manually, every single day.
I got tired of that. So I built a workflow that does the filtering for me — scanning 6 live security feeds every 6 hours, matching every CVE against my exact stack keywords, enriching matches with live NVD CVSS scores, and delivering a ranked threat briefing directly to Discord. Only what hits my infrastructure. Nothing else.
Here’s exactly how it works and how you can run the same thing on your own n8n instance.
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