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数据与研究 · SKILL.md

wireshark-analysis

wireshark-analysis

【数据与研究】Execute comprehensive network traffic analysis using Wireshark to capture, filter, and examine network packets for security investigations, performance optimization, and troubleshooting.

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技能说明

GitHub

name: wireshark-analysis description: "Execute comprehensive network traffic analysis using Wireshark to capture, filter, and examine network packets for security investigations, performance optimization, and troubleshooting." risk: critical source: community author: zebbern date_added: "2026-02-27"

Wireshark Network Traffic Analysis

Detailed Guide

Read the detailed guide before executing this skill. It retains the complete procedure and reference material. Treat its safety, prerequisites, and validation requirements as mandatory. For focused work, load the relevant sections; for end-to-end work, read the guide completely.

Constraints and Guardrails

Operational Boundaries

  • Capture only authorized network traffic
  • Handle captured data according to privacy policies
  • Avoid capturing sensitive credentials unnecessarily
  • Properly secure PCAP files containing sensitive data

Technical Limitations

  • Large captures consume significant memory
  • Encrypted traffic content not visible without keys
  • High-speed networks may drop packets
  • Some protocols require plugins for full decoding

Best Practices

  • Use capture filters to limit data collection
  • Save captures regularly during long sessions
  • Use display filters rather than deleting packets
  • Document analysis findings and methodology

Examples

Example 1: HTTP Credential Analysis

Scenario: Investigate potential plaintext credential transmission

1. Filter: http.request.method == "POST"
2. Look for login forms
3. Follow HTTP Stream
4. Search for username/password parameters

Finding: Credentials transmitted in cleartext form data.

Example 2: Malware C2 Detection

Scenario: Identify command and control traffic

1. Filter: dns
2. Look for unusual query patterns
3. Check for high-frequency beaconing
4. Identify domains with random-looking names
5. Filter: ip.dst == SUSPICIOUS_IP
6. Analyze traffic patterns

Indicators:

  • Regular timing intervals
  • Encoded/encrypted payloads
  • Unusual ports or protocols

Example 3: Network Troubleshooting

Scenario: Diagnose slow web application

1. Filter: ip.addr == WEB_SERVER
2. Check Statistics > Service Response Time
3. Filter: tcp.analysis.retransmission
4. Review I/O Graph for patterns
5. Check for high latency or packet loss

Finding: TCP retransmissions indicating network congestion.

When to Use

This skill is applicable to execute the workflow or actions described in the overview.

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