wireshark-network-traffic-analysis
Analyze Network Traffic with Wireshark
Network captures can be difficult to interpret during outages and investigations. This skill guides authorized Wireshark filtering, stream review, statistics, and evidence-focused analysis.
Stop for confirmation before installing.
Review the plan and obtain explicit user consent before changing files.
Install with my Agent
Copy this request to your Agent. It includes the canonical Skill page and manifest.
Review the Skillstore skill "wireshark-network-traffic-analysis" from https://skillstore.io/skills/sickn33-wireshark-network-traffic-analysis.md and its manifest at https://skillstore.io/api/skills/sickn33-wireshark-network-traffic-analysis/manifest. Verify the artifact. Stop and obtain explicit user consent before installing or changing files.Your Agent should still show its plan and request any confirmation required by the security policy.
Agent-readable resources
Use these links when an AI agent, crawler, or script needs clean context instead of reading the full page.
Test it
Using "wireshark-network-traffic-analysis". A user asks how to investigate slow access to an internal web application.
Expected outcome:
- Check conversations and service response time for the web server.
- Filter for retransmissions, duplicate acknowledgements, resets, and zero-window events.
- Compare I/O graph spikes with user-reported time ranges.
Using "wireshark-network-traffic-analysis". A user asks how to triage a suspicious PCAP from an endpoint alert.
Expected outcome:
- Start with protocol hierarchy, endpoints, DNS queries, and conversation summaries.
- Look for regular beaconing, random-looking domains, unusual ports, and large outbound transfers.
- Document any indicators with packet numbers, timestamps, and related streams.
Using "wireshark-network-traffic-analysis". A user asks how to review plaintext credential exposure.
Expected outcome:
- Limit analysis to authorized captures and approved systems.
- Review HTTP form submissions and stream contents for exposed usernames, passwords, or tokens.
- Redact sensitive values before sharing findings or reports.
Security Audit
High RiskMost static findings are false positives caused by Markdown code fences and Wireshark filter examples. One high-confidence issue remains: the TLS troubleshooting section directs users to obtain a server private key, which requires stronger handling guidance.
Confirmed security concerns (1)
Risk Factors
⚙️ External commands (49)
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<iframe src="https://skillstore.io/embed/skills/sickn33-wireshark-network-traffic-analysis.html" title="Skillstore Security Assessment" sandbox="allow-popups allow-popups-to-escape-sandbox" loading="lazy" referrerpolicy="no-referrer" width="420" height="180"></iframe>Academic citations (APA · BibTeX · CFF)
APA citation
sickn33. (2026). wireshark-network-traffic-analysis security audit report (audit version 5) [Author version 1.1]. Skillstore. https://skillstore.io/skills/sickn33-wireshark-network-traffic-analysis/audits/5BibTeX citation
@techreport{sickn33-sickn33-wireshark-network-traffic-analysis-2026,
author = {sickn33},
title = {wireshark-network-traffic-analysis security audit report (audit version 5)},
institution = {Skillstore},
year = {2026},
number = {5},
url = {https://skillstore.io/skills/sickn33-wireshark-network-traffic-analysis/audits/5},
note = {Author version 1.1}
}CITATION.cff
cff-version: 1.2.0
message: "If you use this Skill, cite its author and this versioned security audit report."
title: "wireshark-network-traffic-analysis security audit report (audit version 5)"
version: "1.1"
type: report
authors:
- name: "sickn33"
date-released: "2026-07-07"
url: "https://skillstore.io/skills/sickn33-wireshark-network-traffic-analysis/audits/5"
identifiers:
- type: other
value: "skillstore:sickn33-wireshark-network-traffic-analysis:audit:5"
description: "Skillstore immutable audit report identifier"
Skillstore Score
Why this score Evidence Confidence: MediumWhat You Can Build
Diagnose Network Outages
Review packet loss, retransmissions, connection resets, and traffic timing to isolate service or path problems.
Investigate Suspicious Traffic
Filter PCAP files for unusual DNS, port scanning, beaconing, plaintext credentials, and unexpected external connections.
Document Incident Evidence
Use streams, statistics, endpoints, and exported dissections to create clear evidence for incident timelines.
Try These Prompts
Help me review this PCAP in Wireshark. List the first filters and statistics I should check for basic triage.
Guide me through Wireshark analysis for a slow web application. Focus on retransmissions, response times, resets, and traffic volume.
Help me analyze suspected malware traffic in Wireshark. Prioritize DNS patterns, beaconing intervals, unusual ports, and endpoint summaries.
Create a Wireshark workflow for preserving evidence from an authorized capture. Include filters, streams, exported views, and validation checks.
Best Practices
- Capture only traffic you are authorized to inspect.
- Use capture filters to reduce sensitive data collection.
- Store PCAP files securely and redact secrets before sharing results.
Avoid
- Do not capture third-party traffic without approval.
- Do not paste credentials, tokens, private keys, or raw PCAP secrets into AI tools.
- Do not treat a single packet pattern as proof without corroborating context.