wireshark-analysis
Teaches your AI agent to protect apps against attacks.
What it does
This tool analyzes your computer's network traffic. It captures data packets to help find security issues, optimize performance, or troubleshoot problems.
When to use it
- ✓Investigate if passwords are being sent unprotected.
- ✓Discover if your computer is communicating with malicious sites.
- ✓Identify why a website or application is slow.
Example of what to ask your AI
“Analyze network traffic to find passwords sent without encryption.”
Want more? Open the sections below.
How to use
The easiest way: copy the message below and paste it into Claude, ChatGPT, Cursor or any AI. It reads the skill and follows the instructions.
Skill link
Ready-to-paste message
How it works
The tool captures the data traveling on your network. Then, it allows you to filter and examine this data to find specific information, like in the examples of passwords or suspicious communications.
Installation
Easiest way: copy the skill link and paste it into Claude, ChatGPT or Cursor asking it to follow the instructions.
In the terminal (Claude Code, Codex, Cursor), in your project folder:
npx skills add sickn33/agentic-awesome-skills --skill wireshark-analysisOr download just the file:
curl -L https://raw.githubusercontent.com/sickn33/agentic-awesome-skills/main/plugins/agentic-awesome-skills-claude/skills/wireshark-analysis/SKILL.md -o SKILL.mdTechnical content (original SKILL.md)
Original text by the author, straight from GitHub.
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.
FAQ
Can I see the content of secure websites (HTTPS)?
No, the content of secure connections (HTTPS) is generally not visible without encryption keys.
What if the network is very fast?
On very fast networks, some data packets might be lost and not captured.
How do I avoid capturing unnecessary data?
Use filters to capture only the traffic you actually need to analyze.
Details
Original description by the author
Execute comprehensive network traffic analysis using Wireshark to capture, filter, and examine network packets for security investigations, performance optimization, and troubleshooting.
Popularity
- GitHub stars
- 48k
- Ranking position
- #4576
- License
- MIT
- Updated
- 10/15/2026
Comments
- …
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