好的，我现在要帮用户总结一下这篇文章的内容。用户的要求是用中文，控制在100字以内，而且不需要以“文章内容总结”或“这篇文章”这样的开头，直接写描述即可。 首先，我需要通读整篇文章，理解其主要内容。文章的作者分享了Crow-Eye Correlation Engine的官方用户指南，并介绍了这个工具的目标和功能。这个工具旨在简化Windows取证过程，自动连接数据中的各个点，帮助用户找到隐藏的故事。 接下来，文章提到了视频指南中的四个主要部分：羽毛创建、翅膀创建、执行管理器和结果查看器。每个部分都有具体的时间点说明。此外，作者还提供了GitHub和官方网站的链接，供用户下载和了解更多信息，并邀请用户提供反馈和建议。 现在，我需要将这些信息浓缩到100字以内。重点包括：工具名称、目标（简化取证）、功能（自动连接数据点）、视频指南中的四个部分以及资源链接。同时，要保持语言简洁明了。 可能的结构是：介绍工具及其目标，然后简要提到视频中的四个部分和资源链接。这样既涵盖了主要内容，又符合字数限制。 最后，检查一下是否符合用户的所有要求：中文、100字以内、直接描述内容、没有特定开头。确保没有遗漏关键信息，并且表达清晰。 </think> 本文介绍了Crow-Eye Correlation Engine的官方用户指南，旨在通过自动化连接数据点简化Windows取证流程，并通过视频演示 Feather Creation、Wings Creation、Execution Manager 和 Result Viewer 四个功能模块的操作方法。提供 GitHub 和官网链接供下载使用，并邀请用户反馈意见。 2026-3-5 12:50:1 Author: www.reddit.com(查看原文) 阅读量:10 收藏
I’m really excited to finally share the official user guide for the Crow-Eye Correlation Engine.
My goal with this project was to build something that makes Windows forensics a little less about the tedious manual linking of artifacts and more about
finding the actual "story" hidden in the data. The Correlation Engine is designed to be a high-performance system that connects the dots across your entire investigation automatically.
I’ve put together this video to walk you through the whole process, from setting up your data to visualizing the final results.
🕒 What’s in the guide:
* 02:40 - Feather Creation: Setting up your artifacts for high-speed analysis.
* 04:37 - Wings Creation: How to build the "logic" that finds connections for you.
* 09:51 - The Execution Manager: Running your automated forensic pipeline.
* 13:39 - The Result Viewer: A tour of the UI and how to navigate your findings.
Watch the Guide here: https://youtu.be/NxuoFrZvVHE (https://youtu.be/NxuoFrZvVHE)
You can check out the project here:
📂 GitHub (Open Source): https://github.com/Ghassan-elsman/Crow-Eye (https://github.com/Ghassan-elsman/Crow-Eye)
🌐 Official Site: https://crow-eye.com/download (https://crow-eye.com/download)
I would love to hear your thoughts or any feedback you have on the workflow. If this helps save you some time in your next investigation, that’s a huge win
for me!
If you find it useful, a ⭐️ on GitHub would be greatly appreciated.
Happy investigating!
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