当前位置:网站首页>软件逆向破解入门系列(1)—xdbg32/64的常见配置及功能窗口
软件逆向破解入门系列(1)—xdbg32/64的常见配置及功能窗口
2022-07-03 15:20:00 【宇龍_】
前言
软件逆向破解分为动态调试和静态分析,就如同内功与外功,以后我都会讲,这里先讲动态调试。
常用的动态调试工具有ollydbg和xdbg32/64
ollydbg不支持调试64位程序,虽经典但年代较久远,而xdbg是开源且免费的,并支持调试64位程序,我也相信这个工具会越来越好用的,本文讲的也正是xdbg!
俗话说,工欲善其事必先利其器,连用都不会用谈其他的都是枉然!
常用配置项修改
1、关闭事件断点:选项-选项
把这些事件断点都设置为空,防止调试时产生干扰:

2、忽略异常

3、反汇编窗口配置

常用子窗口
以下我用xdbg32随便加载了一
边栏推荐
- Introduction, use and principle of synchronized
- 求字符串函数和长度不受限制的字符串函数的详解
- GCC cannot find the library file after specifying the link library path
- Puppet automatic operation and maintenance troubleshooting cases
- 【Transform】【NLP】首次提出Transformer,Google Brain团队2017年论文《Attention is all you need》
- [pytorch learning notes] datasets and dataloaders
- Popular understanding of random forest
- 视觉上位系统设计开发(halcon-winform)-3.图像控件
- Tensorflow realizes verification code recognition (I)
- 什么是one-hot encoding?Pytorch中,将label变成one hot编码的两种方式
猜你喜欢

C语言刷题~Leetcode与牛客网简单题

高并发下之redis锁优化实战

视觉上位系统设计开发(halcon-winform)

Concurrency-02-visibility, atomicity, orderliness, volatile, CAS, atomic class, unsafe

什么是embedding(把物体编码为一个低维稠密向量),pytorch中nn.Embedding原理及使用

GCC cannot find the library file after specifying the link library path

Chapter 04_ Logical architecture

Digital image processing -- popular understanding of corrosion and expansion
![[transform] [NLP] first proposed transformer. The 2017 paper](/img/33/f639ab527d5adedfdc39f8d8117c3e.png)
[transform] [NLP] first proposed transformer. The 2017 paper "attention is all you need" by Google brain team

Functional modules and application scenarios covered by the productization of user portraits
随机推荐
Jvm-05-object, direct memory, string constant pool
Can‘t connect to MySQL server on ‘localhost‘
Leetcode the smallest number of the rotation array of the offer of the sword (11)
mysql innodb 存储引擎的特性—行锁剖析
Introduction, use and principle of synchronized
GCC cannot find the library file after specifying the link library path
Puppet automatic operation and maintenance troubleshooting cases
What is label encoding? How to distinguish and use one hot encoding and label encoding?
Popular understanding of linear regression (I)
What is machine reading comprehension? What are the applications? Finally someone made it clear
【pytorch学习笔记】Datasets and Dataloaders
自定义注解
PyTorch crop images differentiablly
Leetcode sword offer find the number I (nine) in the sorted array
The first character of leetcode sword offer that only appears once (12)
Jvm-04-runtime data area heap, method area
Apache ant extension tutorial
【Transform】【NLP】首次提出Transformer,Google Brain团队2017年论文《Attention is all you need》
redis缓存穿透,缓存击穿,缓存雪崩解决方案
QT common sentence notes