etl2pcapng VS termshark

Copy the ETL file to a workstation, then use etl2pcapng converter from Microsoft. (https://github.com/microsoft/etl2pcapng)

etl2pcapng allows you to view ndiscap packet captures with Wireshark, thus overcoming the Windows use of etl files intended for ETW-centric tools like Microsoft Message Analyzer. NotAnExpert2020 explains, it "converts a netsh trace start/stop trace into something wireshark can read."

https://github.com/microsoft/etl2pcapng - etl2pcapng - converts a netsh trace start/stop trace into something wireshark can read.

netsh trace can do this out of the box. With the death of Message Analyzer, the easiest way to get packet data out of the ETL generated is this utility from MS: https://github.com/microsoft/etl2pcapng

Going to say not wireshark. Use the built in native windows packet capture) and convert it to a pcapng for analysis within wireshark with etl2pcapng.

If you have an older version of Windows Server that doesn't have pktmon on it you can also use the netsh method to capture to an ETL file. - Netsh trace start#start) - Now it used to be that I would convert the ETL file to .cap using Message Analyzer, but Microsoft has retired it and you can't download it anymore. In good news it appears that Microsoft has actually released a converter, https://github.com/microsoft/etl2pcapng, to do exactly this.

Ngrep is ok, I just use nethogs, nmap and tcpick, and tcpdump with termshark for most network analysis

Hello command-line colleagues - termshark v2.3 is now up on github. Termshark is a terminal user-interface for tshark that copies the look of Wireshark in 80x32. For this release, I've added configurable columns and a way to transfer the open capture file using magic-wormhole. Termshark can be convenient but for any non-trivial analysis, you need to get the pcap open in Wireshark. If you tend to ssh from within tmux, you can pair termshark with the tmux-wormhole plugin to make things even easier. Here's a demo: https://termshark.io/wormhole-demo. Here's the website: https://termshark.io; and here are the binaries + docs: https://github.com/gcla/termshark. Hope you find it useful :-)