Version Latest
Wireshark Portable v4.2.4
Requirements
Windows 10 / Windows 11 / Windows 7 / Windows 8
Size
51.1 MB

Wireshark's amazing features have made this tool the preferred tool for network troubleshooting, protocol development, and education around the world. 

The Wireshark Portable version was created by networking specialists all across the world and exemplifies the potential of open source. Wireshark Portable for PC is used by network experts worldwide for analysis, troubleshooting, software and protocol development, and training. 

The application has all of the conventional capabilities you'd expect from a protocol analyzer, as well as numerous unique features found nowhere else. Its open-source license allows talented networking specialists to contribute modifications. 

Main Features

Packet examination: It collects data packets from a network in real-time or from previously saved capture files for detailed examination. 
Deep Inspection: Users can examine hundreds of protocols, including Ethernet, IP, TCP, HTTP, DNS, and others, to diagnose network problems or investigate security breaches. 
Filtering: With advanced filtering capabilities, users can sift through vast amounts of data to focus on certain packets or protocols. 
Protocol decoding: The program converts packet contents into human-readable formats, which aids in understanding network communication. 
VoIP study: The support for VoIP protocols allows for the study of voice and video conversations. 
Captured data can be exported in a variety of file formats for additional analysis or distribution. 
Extensibility: It includes a robust ecosystem of plugins and scripts for extending functionality. 

PROS 

  • Comprehensive protocol support. 
  • Comprehensive filtering and analytical capabilities. 
  • Open-source, free 
  • Active community and continuous growth 

Cons

  • Cross-platform compatibility. 
  • Beginners face a steep learning curve. 
  • Understanding of networking concepts 
  • Support for decrypting encrypted communication is limited, and acquiring + analyzing big data volumes requires significant resources.