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ctf-malware

Analyze malware binaries with static and dynamic analysis tools for CTF challenges.

Updated May 15, 2026
Search Tags:#network analysis#reverse engineering#CTF#malware analysis#memory forensics
One-click install
npx skills add https://github.com/a398275770-ctrl/ctf-skills --skill ctf-malware-a398275770-ctrl
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: ctf-malware
Source: https://github.com/a398275770-ctrl/ctf-skills/tree/main/ctf-malware
Command: npx skills add https://github.com/a398275770-ctrl/ctf-skills --skill ctf-malware-a398275770-ctrl

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill requires yara-python, pefile, capstone, oletools, unicorn, pycryptodome, volatility3, dissect.cobaltstrike, tshark, binwalk, binutils, ghidra, python3, pip, dnSpy, asmresoler, and includes scripts (resource) and references (resource) and assets (resource) components.

What problem does it solve?

This Skill equips you with tools and techniques for detailed analysis of malware samples and network traffic in CTF (Capture The Flag) challenges, simplifying reverse engineering tasks.

Core Features & Use Cases

  • Malware Analysis: Offers comprehensive strategies for analyzing malware samples, including disassembly, memory forensics, and anti-analysis technique identification.
  • Network Traffic Analysis: Helps analyze network traffic, C2 communications, and custom encryption protocols involved in malware interactions.
  • Use Case: Suppose you have a binary executable from a CTF challenge that you need to reverse-engineer. This Skill provides the necessary tools to understand the malware's functionality, identify malicious actions, and understand communication protocols.

Quick Start

Analyze a malicious binary for suspicious indicators using 'peframe' from within this skill directory.

Frequently Asked Questions about ctf-malware

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

FAQPage Schema
How do I analyze malware with anti-VM detection and sandbox evasion in a CTF challenge?▼

To analyze malware with anti-VM detection and sandbox evasion, this Skill uses static analysis via pefile and dynamic analysis via strace and ltrace. It helps identify malicious actions and bypass timing evasion and API hashing techniques.

What is the best way to reverse engineer a binary executable and analyze memory forensics for CTF?▼

The best way to reverse engineer binary files and perform memory forensics is by using integrated tools like Ghidra, capstone, and volatility3. These tools support disassembly and deep memory analysis to understand malware functionality.

How do I analyze network traffic and C2 communications in malware samples?▼

You can analyze network traffic and C2 communications in malware samples using tshark. This Skill helps inspect custom encryption protocols and network interactions involved in malware operations.

Do I need a Linux filesystem to perform static and dynamic malware analysis?▼

Yes, you need a Linux filesystem-based agent to perform static and dynamic malware analysis. The Skill requires this environment along with specific Python packages like yara-python, pycryptodome, and volatility3.

Can I use pefile and volatility3 to identify malicious actions in a Windows executable?▼

Yes, you can use pefile for static analysis and volatility3 for memory forensics to identify malicious actions in Windows executables. The Skill combines these tools to inspect binary files and understand malware behavior.

Why does malware analysis fail when dealing with API hashing and timing evasion?▼

Malware analysis often fails with API hashing and timing evasion because these techniques actively bypass standard sandbox environments. This Skill provides specific strategies to handle anti-analysis techniques and uncover hidden functionality.

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