Analyze the various fields in the data package

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What is data Data package analysis refers to the process of capturing data packets in network transmission, and then decomposing and analyzing them according to their protocol format to obtain useful information. What is it, I want to know where this package came from. Why do you need data package analysis? Network fault analysis: By analyzing data packets, you can quickly locate the cause of network failure and improve network stability. Network security analysis: Detect network attacks, viruses, etc. security threats, protect network security. Network performance optimization: Understand the composition and distribution of network traffic, optimize network configuration. Protocol Analysis: Study the implementation details of network protocols, develop new network applications. Data analysis tool Wireshark: The most popular network protocol analyzer, powerful function, friendly interface.


tcpdump : command line tool, has a powerful  Phone Number filter function. Fiddler: Mainly used for HTTP protocol analysis. Charles Proxy: Functions similar to Fiddler, supports HTTPS packet capture. The process of data analysis Data packet capture: Use network capture package tools to capture data packets in the network. Data packet filtering : Filter the captured data packets according to demand, and only display the data packets you are interested in. Data package display: The data package is displayed in readable form, including source address, destination address, protocol type, data content, etc. Data package analysis: understand their meaning. An example of data package analysis using HTTP protocol as an example, we can get the following information through parsing HTTP data package: Request method: GET, POST etc. Request URL: Visit website address. HTTP protocol version: HTTP/1.1, HTTP/2 etc. Request: Contains Cookie , User -Agent, etc. information. Response status code: 200 (successful), 404 (not found) etc. Response content: HTML code of the webpage. The difficulty of data analysis Protocols are complex and diverse: Different network protocols have different data package formats, requiring a lot of protocol knowledge. The amount of data is huge: the network traffic is huge, requiring efficient analysis tools and methods. Encrypted data package: Encrypted data package requires analysis. How to learn data package analysis Understand basic network knowledge: Understand TCP/IP protocol stack, OSI model etc. Use tools such as Wireshark. Learn protocol specifications: Read the RFC document, understand the detailed specifications of various protocols. Practice: through practical operation, continuous accumulation of experience.



HTTP protocol version: HTTP/1.1, HTTP/2 etc. Request: Contains Cookie , User -Agent, etc. information. Response status code: 200 (successful), 404 (not found) etc. Response content: HTML code of the webpage . The difficulty of data analysis Protocols are complex and diverse: Different network protocols have different data package formats, requiring a lot of protocol knowledge. The amount of data is huge: the network traffic is huge, requiring efficient analysis tools and methods. Encrypted data package: Encrypted data package requires analysis. How to learn data package analysis Understand basic network knowledge: Understand TCP/IP protocol stack, OSI model etc. Use tools such as Wireshark. Learn protocol specifications: Read the RFC document, understand the detailed specifications of various protocols. Practice: through practical operation, continuous accumulation of experience.