analyzing-network-traffic-of-malware

name	analyzing-network-traffic-of-malware
description	Analyzes network traffic generated by malware during sandbox execution or live incident response to identify C2 protocols, data exfiltration channels, payload downloads, and lateral movement patterns using Wireshark, Zeek, and Suricata. Activates for requests involving malware network analysis, C2 traffic decoding, malware PCAP analysis, or network-based malware detection. . Use when working with analyzing network traffic of malware.
domain	cybersecurity
tags	["malware","network-analysis","PCAP","Wireshark","C2-detection"]
subdomain	malware-analysis
version	1.0.0
author	oyi77
license	Apache-2.0
nist_csf	["DE.AE-02","RS.AN-03","ID.RA-01","DE.CM-01"]

Analyzing Network Traffic Of Malware

Overview

Cybersecurity skill for analyzing network traffic of malware. Follows industry best practices and security standards.

When to Use

Trigger phrases:

• "analyzing network traffic of malware"

• "Analyzes network traffic generated by malware during sandbox execution or live i"

• Sandbox execution has captured a PCAP file and the network behavior needs detailed analysis

• Identifying the C2 protocol structure for writing network detection signatures

• Determining what data the malware exfiltrates and to which external infrastructure

• Analyzing DNS tunneling, domain generation algorithms (DGA), or fast-flux behavior

• Creating Suricata/Snort signatures based on observed malware network patterns

Do not use for host-based analysis of malware behavior; use Cuckoo sandbox reports or Volatility memory analysis for process-level activity.

When NOT to Use

• When you lack proper authorization for testing
• For production systems without change management
• When the task requires legal or compliance expertise beyond technical scope

Prerequisites

• Wireshark 4.x installed for interactive PCAP analysis
• tshark (Wireshark CLI) for scripted packet extraction
• Zeek installed for automated metadata generation from PCAPs
• Suricata with ET Open/ET Pro rulesets for signature matching
• NetworkMiner for file extraction and credential detection from PCAPs
• Python 3.8+ with scapy and dpkt for programmatic packet analysis

Workflow

# Example: IOC detection
import re

IOC_PATTERNS = {
    "ip": r"\b(?:\d{1,3}\.){3}\d{1,3}\b",
    "domain": r"\b[a-z0-9-]+\.[a-z]{2,}\b",
    "hash_md5": r"\b[a-f0-9]{32}\b",
    "hash_sha256": r"\b[a-f0-9]{64}\b",
}

def extract_iocs(text: ) -> :
     {k: re.findall(v, text)  k, v  IOC_PATTERNS.items()}