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Malware Network Traffic Analysis

Guides an agent through analyzing malware PCAP captures to find C2, exfiltration and beaconing

Source Download skill
Repository
mukul975/Anthropic-Cybersecurity-Skills
Stars
35,430
Licence
Apache-2.0
Files
3 files

What it does

When installed, this skill gives an AI agent a structured playbook for examining network captures (PCAP files) recorded while malware ran in a sandbox or during an incident. The agent works through steps such as summarising traffic, checking DNS for suspicious or algorithmically generated domains, inspecting HTTP and TLS for command-and-control and downloads, spotting periodic beaconing, and drafting Suricata/Snort detection rules. A bundled Python helper computes entropy and extracts TCP payload streams with dpkt or scapy.

Great for

  • Security analysts and incident responders reviewing a PCAP from a malware sandbox
  • Detection engineers who need to turn observed C2 patterns into Suricata or Snort rules
  • Students learning how malware network behaviour is investigated with Wireshark, tshark and Zeek

Skip it if

  • Host-based malware analysis such as process behaviour or memory forensics; the skill itself says to use sandbox reports or Volatility instead
  • Analysing live malware on a production network without isolation, since the commands and rules assume a controlled setup and could expose systems
  • Anyone expecting a turnkey automated verdict; the output depends on the analyst interpreting results

Try asking

  • “Analyze this malware.pcap from our sandbox run and identify any C2 domains or beaconing”
  • “Check the DNS queries in this capture for DGA-style domain names”
  • “Write Suricata rules to detect the HTTP POST C2 pattern seen in this traffic”
  • “Summarise the protocols and top talkers in this PCAP file”
Step-by-step guide: how to use Malware Network Traffic AnalysisInstall, first run, examples, tips and FAQs

Install in 3 steps

  1. 1

    Download the skill

    The ZIP contains the 3 original files, the Apache-2.0 licence and an attribution note.

    analyzing-network-traffic-of-malware.zip
  2. 2

    Add it to your agent

    Claude Code (all projects)

    mkdir -p ~/.claude/skills && unzip analyzing-network-traffic-of-malware.zip -d ~/.claude/skills/

    Claude Code / Agent SDK (this project only)

    mkdir -p .claude/skills && unzip analyzing-network-traffic-of-malware.zip -d .claude/skills/

    Claude apps (web/desktop): Settings → Capabilities → Skills → Upload skill, and choose the ZIP.

  3. 3

    Ask for the task

    No special command needed — the agent reads the skill's description and loads it when your request matches. Try one of the prompts above.

Get better results

  • Run the analysis inside an isolated analysis workstation, and treat captured payloads and suspicious domains as hazardous
  • Check the generated Suricata rules and sample IOCs yourself before deploying them, since the examples use placeholder domains and hashes
  • Provide the PCAP path and the sandbox context (time window, victim host) so the agent can focus its queries

What's inside

  • references/api-reference.md
  • scripts/agent.py
  • SKILL.md

Redistributed unmodified from mukul975/Anthropic-Cybersecurity-Skills under the Apache-2.0 licence. The assessment was drafted with AI from the skill's files on 2026-10-29. Skills can instruct your agent to run code — read SKILL.md and any scripts before installing.