最近因为一些原因,开始接触Golang逆向。不得不说,对Golang进行逆向分析,还是比想象中的简单很多的。感谢@Ch1p酱在这个过程中对我不厌其烦的指导。

这篇文章主要用来记录Golang逆向中的一些 语言/Golang编译器 相关的特性,会根据我自己遇到的特性情况持续更新。因为示例中用来分析的程序是我自己写的一个暂不公开的小项目,所以抱歉,本文暂时加密了~

以下内容被密码保护

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