因为以前做APP的时候不知道怎么接口地址就被泄露了,是通过路由器的日志分析吗
回复内容:
因为以前做APP的时候不知道怎么接口地址就被泄露了,是通过路由器的日志分析吗
腾讯出品的livepool不错,抓取HTTP协议的数据。http://rehorn.github.io/livepool/
fiddler 用的人多,也是HTTP协议的。http://www.telerik.com/fiddler
wireshark 功能强大,https://www.wireshark.org/
有nodejs环境的话,推荐livepool。
http代理就行,比如fiddler
使用fiddler
在笔记本上开wifi 热点,手机连这个热点上网。wireshark 选中这个热点start 完事。
我一直都在用fiddler,强烈推荐使用
Win下Fiddler
Mac下就Charles
Linux下也有Fiddler的Mono版本,估计体验不是很好。或者直接tcpdump
还有Wireshark,Mac和Win版本都有
抓包软件楼上已经介绍差不多了,livepool不错!
我来谈谈如何让APP的流量进入抓包软件。
- 虚拟机/模拟器。在PC上开Android虚拟机或者iOS模拟器,在PC上的抓包软件便可以抓到APP的流量。
- PC开WIFI。有个软件叫connectify:http://www.connectify.me/
- PC做路由。启用DHCP服务,在iptables里设置NAT地址转换,同时在手机上设置网关地址为你PC的IP,便可以让同在一个局域网的手机路由到你的PC。挺好玩的可以试试,你还可以劫持当前局域网的网络数据O(∩_∩)O~。
PC做路由的过程我曾经记录下来了,参考:
http://harttle.github.io/2014/10/08/linux-route.html

What’s still popular is the ease of use, flexibility and a strong ecosystem. 1) Ease of use and simple syntax make it the first choice for beginners. 2) Closely integrated with web development, excellent interaction with HTTP requests and database. 3) The huge ecosystem provides a wealth of tools and libraries. 4) Active community and open source nature adapts them to new needs and technology trends.

PHP and Python are both high-level programming languages that are widely used in web development, data processing and automation tasks. 1.PHP is often used to build dynamic websites and content management systems, while Python is often used to build web frameworks and data science. 2.PHP uses echo to output content, Python uses print. 3. Both support object-oriented programming, but the syntax and keywords are different. 4. PHP supports weak type conversion, while Python is more stringent. 5. PHP performance optimization includes using OPcache and asynchronous programming, while Python uses cProfile and asynchronous programming.

PHP is mainly procedural programming, but also supports object-oriented programming (OOP); Python supports a variety of paradigms, including OOP, functional and procedural programming. PHP is suitable for web development, and Python is suitable for a variety of applications such as data analysis and machine learning.

PHP originated in 1994 and was developed by RasmusLerdorf. It was originally used to track website visitors and gradually evolved into a server-side scripting language and was widely used in web development. Python was developed by Guidovan Rossum in the late 1980s and was first released in 1991. It emphasizes code readability and simplicity, and is suitable for scientific computing, data analysis and other fields.

PHP is suitable for web development and rapid prototyping, and Python is suitable for data science and machine learning. 1.PHP is used for dynamic web development, with simple syntax and suitable for rapid development. 2. Python has concise syntax, is suitable for multiple fields, and has a strong library ecosystem.

PHP remains important in the modernization process because it supports a large number of websites and applications and adapts to development needs through frameworks. 1.PHP7 improves performance and introduces new features. 2. Modern frameworks such as Laravel, Symfony and CodeIgniter simplify development and improve code quality. 3. Performance optimization and best practices further improve application efficiency.

PHPhassignificantlyimpactedwebdevelopmentandextendsbeyondit.1)ItpowersmajorplatformslikeWordPressandexcelsindatabaseinteractions.2)PHP'sadaptabilityallowsittoscaleforlargeapplicationsusingframeworkslikeLaravel.3)Beyondweb,PHPisusedincommand-linescrip

PHP type prompts to improve code quality and readability. 1) Scalar type tips: Since PHP7.0, basic data types are allowed to be specified in function parameters, such as int, float, etc. 2) Return type prompt: Ensure the consistency of the function return value type. 3) Union type prompt: Since PHP8.0, multiple types are allowed to be specified in function parameters or return values. 4) Nullable type prompt: Allows to include null values and handle functions that may return null values.


Hot AI Tools

Undresser.AI Undress
AI-powered app for creating realistic nude photos

AI Clothes Remover
Online AI tool for removing clothes from photos.

Undress AI Tool
Undress images for free

Clothoff.io
AI clothes remover

Video Face Swap
Swap faces in any video effortlessly with our completely free AI face swap tool!

Hot Article

Hot Tools

SublimeText3 Linux new version
SublimeText3 Linux latest version

Dreamweaver Mac version
Visual web development tools

ZendStudio 13.5.1 Mac
Powerful PHP integrated development environment

SecLists
SecLists is the ultimate security tester's companion. It is a collection of various types of lists that are frequently used during security assessments, all in one place. SecLists helps make security testing more efficient and productive by conveniently providing all the lists a security tester might need. List types include usernames, passwords, URLs, fuzzing payloads, sensitive data patterns, web shells, and more. The tester can simply pull this repository onto a new test machine and he will have access to every type of list he needs.

SublimeText3 Mac version
God-level code editing software (SublimeText3)