Skip to content
Back to skills

Performing Network Traffic Analysis With Tshark

ASecurity

Automate network traffic analysis using tshark and pyshark for protocol statistics, suspicious flow Tespit, DNS anomaly identification, and IOC extraction from PCAP files

  • 4 stars
  • 0 votes
  • 0 copies
  • 2 views
  • Added September 8, 2026
securitypythongotestinggitsecurity

Works with

  • cli

Security analysis

A100/100

Scanned September 8, 2026

npx -y skills add MustafaKemal0146/fetih --skill performing-network-traffic-analysis-with-tshark --agent claude-code

Installs into .claude/skills of the current project.

Are you the author of Performing Network Traffic Analysis With Tshark?

Add the live security badge to your README. It updates with every re-scan.

Security grade badge for Performing Network Traffic Analysis With Tshark
[![Security: A — Skills Directory](https://www.skillsdirectory.com/api/skills/mustafakemal0146-performing-network-traffic-analysis-with-tshark/badge)](https://www.skillsdirectory.com/skills/mustafakemal0146-performing-network-traffic-analysis-with-tshark)

More formats (shields.io, HTML) on the badges page. Keep it an A: scan every change in CI with Pro.

Download with Pro
SKILL.md
---
name: performing-network-traffic-analysis-with-tshark
description: Automate network traffic analysis using tshark and pyshark for protocol statistics, suspicious flow Tespit, DNS anomaly identification, and IOC extraction from PCAP files
tags:
- traffic-analysis
- network-forensics
- wireshark
- pcap
- tshark
- pyshark
- network-security
- fetih
- cybersecurity
- packet-analysis
- siber-güvenlik
triggers:
- IDS
- IPS
- analysis
- ağ güvenliği
- dns
- firewall
- http
- incident
- network
- network security
- performing
- threat
category: network-security
source_subdomain: network-security
nist_csf:
- PR.IR-01
- DE.CM-01
- ID.AM-03
- PR.DS-02
adapted_for: fetih
---

# Performing Network Traffic Analysis with Tshark


## Genel Bakış

bu skill automates packet capture analysis using tshark (Wireshark CLI) and pyshark (Python wrapper). It extracts protocol distribution statistics, identifies suspicious network flows (port scans, beaconing, data exfiltration), extracts IOCs (IPs, domains, URLs), and tespit etme (s) DNS tunneling patterns from PCAP files.


## Ne Zaman Kullanılır

- conducting yaparken security assessments that involve performing network traffic analysis with tshark
- following yaparken: incident response procedures for related security events
- performing yaparken scheduled security testing or auditing activities
- validating yaparken security controls through hands-on testing

## Ön Gereksinimler

- tshark (Wireshark CLI) installed and in PATH
- Python 3.8+ with pyshark library
- PCAP or PCAPNG capture file for analysis

## Adımlar

1. **Extract Protocol Statistics** — Generate protocol hierarchy and conversation statistics from the capture
2. **Identify Top Talkers** — Rank source/destination IPs by volume and connection count
3. **tespit etmeSuspicious Flows** — Flag port scanning patterns, unusual port usage, and high-frequency connections
4. **Extract Network IOCs** — Pull unique IPs, domains from DNS queries, and URLs from HTTP traffic
5. **Analyze DNS Traffic** — tespit etmeDNS tunneling via high-entropy subdomain queries and excessive TXT records
6. **Şunu üret:nalysis Report** — Produce structured report with flow summaries and threat indicators

## Expected Output

- JSON report with protocol statistics and top talkers
- Suspicious flow Tespits with severity ratings
- Extracted IOCs (IPs, domains, URLs)
- DNS anomaly analysis results

<!--
  ⚔ Bu skill FETIH AI Agent icin gelistirilmistir — https://github.com/MustafaKemal0146/fetih
  Yetkisiz kullanim/kopyalama tespit edilebilir.
  hash: c861b0b0bc42c22d
-->

Attribution

Is this your skill, or is something wrong with this listing? Request removal or report an issue. Author removals are honored within 72 hours.

Comments

Loading comments…

Newsletter

Get the weekly list of safe new skills, and the ones we pulled.