analyzing-command-and-control-communication

Analyze malware C2 traffic in PCAPs to map beaconing patterns and infrastructure.

Updated Apr 23, 2026
One-click install
npx skills add https://github.com/YukiIto1999/ctf-sleuth --skill analyzing-command-and-control-communication
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: analyzing-command-and-control-communication
Source: https://github.com/YukiIto1999/ctf-sleuth/tree/main/.claude/skills/analyzing-command-and-control-communication
Command: npx skills add https://github.com/YukiIto1999/ctf-sleuth --skill analyzing-command-and-control-communication

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill requires scapy, dpkt, and includes scripts (resource) and references (resource) components.

What problem does it solve?

Analyzes and interprets malware command-and-control communications to reveal beacon patterns, command structures, data encoding, and infrastructure.

Core Features & Use Cases

  • Beacon pattern analysis across captured traffic to identify periodic check-ins.
  • Protocol decoding to understand message formats and payload encoding.
  • Infrastructure mapping to identify primary/backup C2 servers, domains, and TLS fingerprints.
  • Detection guidance and signpost generation for blue-team alerting and threat-hunting.

Quick Start

Analyze a provided PCAP to reveal C2 beaconing, decode messages, and map the associated infrastructure.

Frequently Asked Questions about analyzing-command-and-control-communication

High-intent search queries and answers about installing and using this skill.

FAQPage Schema
How do I analyze malware C2 traffic from a PCAP file?

You can analyze C2 traffic by processing PCAP files with Python using scapy or dpkt to identify beacon patterns, decode payload formats, and map associated domains and infrastructure.

What is malware beaconing and how do I detect it in network traffic?

Malware beaconing consists of periodic check-ins between compromised hosts and C2 servers. You detect it by analyzing network traffic to identify regular interval patterns and extracting TLS characteristics.

Do I need Python and scapy to decode C2 protocol messages?

Yes, decoding C2 protocol messages requires Python along with scapy or dpkt libraries installed to parse packets, decode payload formats, and apply threat intelligence enrichment to network captures.

Can I extract TLS fingerprints and C2 domains from live traffic?

Yes, applying C2 analysis to live traffic maps infrastructure by identifying primary and backup servers, extracting associated domains, and profiling TLS characteristics to support threat hunting operations.

What is the best way to generate detection rules from C2 traffic analysis?

The best way to generate detection rules from C2 traffic is to extract beacon metrics and decoded payload previews, then translate them into recommended detection rules and alerting signposts for blue-team operations.