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    network-traffic-forensics

    network-traffic-forensics

    by LocoLoboZ

    Professional network forensics and packet analysis for incident response and security investigations.

    Updated Jun 2026
    Security scanned
    including Claude Code

    $15

    · or 75 credits

    30-day refund guarantee

    Secure checkout via Stripe

    Included in download

    • Reconstruct network events from PCAP evidence during a security incident.
    • Extract and document IoCs from suspicious DNS and HTTP traffic logs.
    • terminal automation included
    • Ready for including Claude Code
    • Instant install

    Sample input

    Analyse this tshark conversation summary and DNS query export from a suspected data exfiltration incident. The capture covers a 6-hour window on 2026-04-14. I need a structured forensic report with an indicator of compromise table, a timeline of suspicious events, and recommended next actions. This is an authorised investigation under case reference IR-2026-041.

    Sample output

    The skill produces a structured forensic report covering scope and evidence basis, capture metadata and integrity notes, key observations from DNS and conversation analysis, a suspicious communications table, an indicator of compromise register with source, timestamp, and confidence rating, a timeline of material events, and recommended validation actions. Evidence gaps such as encrypted traffic, truncated capture windows, or missing corroborating logs are explicitly noted rather than estimated around.

    About This Skill

    What it does

    This skill enables AI agents to perform professional-grade network traffic forensics and incident analysis. It processes packet captures (PCAP), flow records, and tool outputs (like tshark, Zeek, or Wireshark) to reconstruct security incidents, identify suspicious communications, and document findings in a structured forensic report.

    Why use this skill

    Manual network analysis is time-consuming and prone to oversight. This skill provides a structured methodology for forensic investigations, ensuring that indicators of compromise (IoCs), lateral movement, and exfiltration attempts are systematically identified. Unlike generic AI prompting, this skill enforces forensic rigor, maintaining a chain of custody, distinguishing between facts and hypotheses, and highlighting evidence gaps.

    Supported analysis types

    • Traffic Reconstruction: Beaconing detection, lateral movement mapping, and protocol misuse.
    • Metadata Analysis: Deep dives into DNS queries, HTTP headers, TLS SNI, and certificate chains.
    • Forensic Reporting: Generation of executive summaries, IoC tables, and chronological timelines.
    • Validation: Alignment of network evidence with endpoint logs and threat intelligence.

    The Output

    The skill produces a detailed forensic dossier including an evidence inventory, an analyst-grade timeline of events, a categorized list of IoCs, and concrete validation actions for incident response teams.

    Use Cases

    • Reconstruct network events from PCAP evidence during a security incident.
    • Extract and document IoCs from suspicious DNS and HTTP traffic logs.
    • Generate structured forensic reports for executive and technical stakeholders.
    • Identify lateral movement and Command & Control (C2) beaconing patterns.
    • Validate suspected data exfiltration using flow records and packet metadata.

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    Security Scanned

    Passed automated security review

    Permissions

    Terminal / Shell

    Works with any agent that supports the Universal SKILL.md standard, including Claude Code, Codex CLI, Cursor, VS Code Copilot, Gemini CLI, OpenClaw, and 20+ compatible agents.

    Creator

    I design and publish skills built from real professional practice across three areas: cyber security consulting, business operations, and AI workflow engineering. My cyber security skills draw on active advisory work spanning governance, risk, compliance, assurance, and executive reporting. They are built for practitioners who need structured, defensible outputs - not generic templates. My business operations skills cover the day-to-day work of running a consulting practice: bookkeeping, financial tracking, expense reconciliation, and marketing content - designed to reduce repetitive overhead and keep outputs consistent. My AI platform and workflow skills are built for people who want to get more out of Claude and similar platforms - covering prompt engineering, skill architecture, automation pipelines, and agent enhancement. Every skill I publish has been tested in production use before it reaches the marketplace. If it is here, it works.

    Frequently Asked Questions

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