armpwn - Repository to train/learn memory corruption on the

项目说明

ARMPwn

Repository to train/learn memory corruption exploitation on the ARM platform.
This is the material of a workshop I prepared for my CTF Team.

Quick Setup

Either upload the binary to some ARM device (I used a Raspberry Pi) or use qemu locally as described here.
Also copy the webroot/ folder and the led script to the device. The binary expects both to be in the current working directory.

The binary needs to be run as root or (preferably) ha enabled (sudo setcap 'cap_net_bind_service=+ep' websrv).

How to use this Repository

In general the goal is to get code execution on the target system.
There are 4 different ways to benefit from this repository:

Total Pwn

Deploy the binary and go pwn it _without_ re the binary first. Assume no prior knowlege of the binary.

Full Pwn

You're gi to the binary as well (in bin/).

Medium Pwn

You're gi to the binary and it's source code in src/. You'll miss out on some re fun though.

Lesser Pwn

Refer to the exploit and explanations in exploit/ as you go along.

RPI Configuration

The RPI used during the workshop was configured as follows:

Using these, we de our exploits by connecting a serial cable to the Pi and getting the crash dumps this way. No gdb or similar.

Feedback is always welcome! Enjoy :)

@5aelo

项目信息

开发语言：Python

Star 数：356

技术要点

该项目属于CTF思路方向的开源资源，代码结构清晰，适合安全研究人员学习参考。项目围绕Repository to train/learn memory corruption on the ARM platform.展开，提供了可运行的实现，对理解相关安全机制、工具原理与攻防技术具有较高的研究价值。

从技术实现角度看，此类项目的核心在于对底层原理的深入理解与工程化落地。开发者在研究过程中可以结合官方文档与社区讨论，梳理项目的初始化流程、核心模块职责与数据流转，逐步掌握其中的技术细节与设计思路。

使用与学习建议

1. 下载源码压缩包，解压到本地环境。

2. 根据项目类型准备对应的运行环境与依赖。

3. 按照 README 中的步骤完成配置与部署。

4. 在隔离的测试环境中运行验证，避免影响生产系统。

免责声明

本资源来源于开源社区，仅供安全研究、技术学习与合法授权范围内的攻防演练使用，请勿用于任何非法或侵害他人权益的用途。使用本项目产生的一切后果由使用者自行承担。