Skip to content

The PCAP Analyzer for Splunk includes useful Dashboards to analyze network packet capture files from Wireshark or Network Monitor (.pcap) and network streaming data (Splunk App for Stream). The App includes Dashboards which will show you: - The Top Talker IP's, Protocols, VLANs, Conversations - Detailed overview about IP Conversations, Packet Lo…

License

Notifications You must be signed in to change notification settings

Splunk-App-and-TA-development/SplunkForPCAP

 
 

Folders and files

NameName
Last commit message
Last commit date

Latest commit

 

History

5 Commits
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 

Repository files navigation

SplunkForPCAP



Check out: https://splunkbase.splunk.com/app/2748/
------------------------------------------------
The PCAP Analyzer for Splunk includes useful Dashboards to analyze network packet capture files from Wireshark or Network Monitor (.pcap | .pcapng).

The App includes Dashboards which will show you:

  • The Top Talker IP's, Protocols, VLANs, Conversations
  • Detailed overview about IP Conversations, Packet Loss, TCP Error's, Round Trip Time
  • Conversation Sankey Diagram (by Packets, by Bytes, by Destination Port)
  • Microburst Dashboard (Bit timechart)
  • DNS / NFS / HTTP / Keep Alive Communication Dashboards
  • Hop Calculator between two IP's

ROADMAP

  • Support for more protocols and more use cases
  • Dashboards will change to highlight the most important use cases for troubleshooting.

FAQ https://schwartzdaniel.com/pcap-analyzer-for-splunk-getting-started/

About

The PCAP Analyzer for Splunk includes useful Dashboards to analyze network packet capture files from Wireshark or Network Monitor (.pcap) and network streaming data (Splunk App for Stream). The App includes Dashboards which will show you: - The Top Talker IP's, Protocols, VLANs, Conversations - Detailed overview about IP Conversations, Packet Lo…

Resources

License

Stars

Watchers

Forks

Releases

No releases published

Packages

No packages published

Languages

  • Python 74.5%
  • JavaScript 24.3%
  • CSS 1.1%
  • Ruby 0.1%