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analyzing-network-traffic-of-malware

Analyze malware PCAPs to decode C2 communications and generate Suricata rules.

Updated Aug 23, 2026

Search Tags:#malware #pcap #network-traffic #analyse #dns-analysis #c2-detection #tls-fingerprinting

One-click install

npx skills add https://github.com/Axxxxxxaaann/KAIRI-Skills --skill analyzing-network-traffic-of-malware-axxxxxxaaann

Or copy as Structured Prompt for Agent▼

Please help me install this Agent Skill.
Skill: analyzing-network-traffic-of-malware
Source: https://github.com/Axxxxxxaaann/KAIRI-Skills/tree/main/skills/analyzing-network-traffic-of-malware
Command: npx skills add https://github.com/Axxxxxxaaann/KAIRI-Skills --skill analyzing-network-traffic-of-malware-axxxxxxaaann

SYSTEM DOCUMENTATION & REQUIREMENTS

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

What problem does it solve?

Analyzing malware network traffic is essential to identify C2 channels, data exfiltration paths, and beaconing patterns from PCAP captures, enabling rapid containment and signature development.

Core Features & Use Cases

Network traffic analysis with PCAPs to reveal C2 infrastructure, DNS tunneling, and TLS fingerprinting.
Automatic extraction of HTTP-based C2 activity, beaconing patterns, and file downloads from network captures.
Signature generation for Suricata/Snort rules to detect malware communications and exfiltration attempts across TCP/TLS/DNS.

Quick Start

Run the agent against your malware traffic PCAP to extract HTTP/C2 patterns and auto-generate Suricata rules.

Frequently Asked Questions about analyzing-network-traffic-of-malware

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

FAQPage Schema

How do I analyze PCAP files to detect malware C2 traffic?▼

To analyze PCAP files for malware C2 traffic, you can use this Skill to automatically parse network captures and extract HTTP-based C2 activity, beaconing patterns, and file downloads.

Can I generate Suricata rules from DNS tunneling and TLS fingerprinting captures?▼

Yes, you can generate Suricata rules from DNS tunneling and TLS fingerprinting captures. The Skill processes HTTP, DNS, and TLS channels to produce detection signatures for malware communications.

What Python dependencies do I need to parse network traffic for beaconing patterns?▼

You need Python 3.8+ with the dpkt and scapy libraries to parse network traffic for beaconing patterns. Optional Zeek or Suricata tooling can be installed to extract streams and compute entropy.

Does this tool work with live network captures or only sandbox PCAPs?▼

This tool works with both sandbox PCAPs and live network captures. It identifies malware communications across HTTP, DNS, and TLS channels to generate incident insights and detection signatures.

How does TLS fingerprinting help uncover malware data exfiltration channels?▼

TLS fingerprinting helps uncover malware data exfiltration channels by identifying unique characteristics of encrypted malware communications. The Skill decodes these patterns to reveal hidden C2 infrastructure.

What are the limitations of using scapy and dpkt for malware traffic analysis?▼

Using scapy and dpkt for malware traffic analysis requires Python 3.8+ and optional Zeek or Suricata tooling for full stream extraction and entropy computation. Without these, advanced TLS and DNS analysis may be limited.

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