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データ・研究 · SKILL.md

performing-network-traffic-analysis-with-tshark

performing-network-traffic-analysis-with-tshark

Automate network traffic analysis using tshark (Wireshark CLI) and pyshark to compute protocol distribution statistics, detect suspicious flows such as port scans and beaconing, extract IOCs (IPs, domains, URLs), and identify DNS tunneling patterns from PCAP files. Use when scripted or repeatable analysis of packet captures is needed rather than interactive…

Independent GitHub snapshot · Automated classification · Original documentation governs

スキルの説明

GitHub

name: performing-network-traffic-analysis-with-tshark description: Automate network traffic analysis using tshark (Wireshark CLI) and pyshark to compute protocol distribution statistics, detect suspicious flows such as port scans and beaconing, extract IOCs (IPs, domains, URLs), and identify DNS tunneling patterns from PCAP files. Use when scripted or repeatable analysis of packet captures is needed rather than interactive inspection. domain: cybersecurity subdomain: network-security tags:

  • tshark
  • pyshark
  • pcap
  • packet-analysis
  • network-forensics
  • wireshark
  • traffic-analysis version: '1.0' author: mahipal license: Apache-2.0 nist_csf:
  • PR.IR-01
  • DE.CM-01
  • ID.AM-03
  • PR.DS-02 mitre_attack:
  • T1046
  • T1040
  • T1557
  • T1071
  • T1005

Performing Network Traffic Analysis with TShark

Overview

This 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 detects DNS tunneling patterns from PCAP files.

When to Use

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

Prerequisites

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

Steps

  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. Detect Suspicious 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 — Detect DNS tunneling via high-entropy subdomain queries and excessive TXT records
  6. Generate Analysis Report — Produce structured report with flow summaries and threat indicators

Expected Output

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