performing-network-traffic-analysis-with-tshark

Analyze PCAP files with tshark to extract protocol statistics, top talkers, DNS queries, HTTP URLs, and IOCs.

Updated Apr 23, 2026
One-click install
npx skills add https://github.com/YukiIto1999/ctf-sleuth --skill performing-network-traffic-analysis-with-tshark
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: performing-network-traffic-analysis-with-tshark
Source: https://github.com/YukiIto1999/ctf-sleuth/tree/main/.claude/skills/performing-network-traffic-analysis-with-tshark
Command: npx skills add https://github.com/YukiIto1999/ctf-sleuth --skill performing-network-traffic-analysis-with-tshark

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill requires pyshark, and includes scripts (resource) and references (resource) components.

What problem does it solve?

Analyze PCAP captures to automatically extract protocol statistics, identify top talkers, detect suspicious flows, and surface DNS/I hypothesis like DNS tunneling, plus collect HTTP URLs and IOCs for rapid investigation.

Core Features & Use Cases

  • Protocol statistics via tshark
  • Top talkers and conversations extraction
  • Detection of port scans and suspicious flows
  • DNS queries and DNS tunneling indicators
  • HTTP URL extraction and IOC summarization
  • Structured report generation for incident response

Quick Start

Analyze a PCAP file to generate a comprehensive analysis report in JSON.

Frequently Asked Questions about performing-network-traffic-analysis-with-tshark

High-intent search queries and answers about installing and using this skill.

FAQPage Schema
How do I automate PCAP analysis to extract protocol statistics and top talkers?

Automate PCAP analysis by using tshark and pyshark to deterministically parse network captures, extracting protocol statistics, identifying top talkers, and outputting structured JSON reports for incident response.

Can I detect DNS tunneling and extract IOCs from network traffic captures?

Extract IOCs and detect DNS tunneling from network traffic captures by parsing DNS queries and HTTP URLs with tshark, surfacing suspicious flows and indicators for rapid security investigation.

What is the best way to generate structured incident response reports from packet captures?

Generate structured incident response reports from packet captures by leveraging pyshark to extract top talkers, port scans, and DNS queries, outputting both human-readable summaries and structured JSON data.

Does this network forensics workflow require installing pyshark to parse captures?

Network forensics workflow requires installing the pyshark dependency to interface with tshark, enabling the automated extraction of HTTP URLs, protocol statistics, and IOC summaries from PCAP files.

How do I identify suspicious flows and port scans during a network audit?

Identify suspicious flows and port scans during a network audit by running tshark against PCAP data to deterministically extract conversation metrics and flag anomalous traffic patterns.

What are the limitations of using tshark for routine network traffic analysis?

Limitations of using tshark for routine network traffic analysis include relying on deterministic parsing of pre-captured PCAP files rather than providing real-time live network monitoring capabilities.