ghidra

Name: ghidra
Availability: InStock
Author: Dave

Analyze binaries with Ghidra for disassembly and decompilation.

15|1|Updated Feb 12, 2026

Search Tags:#reverse engineering #binary analysis #ghidra #decompiler #malware analysis #disassembler

Ready to run

npx skills add https://github.com/AeonDave/malskill --skill ghidra-aeondave

💬 Prompt for ChatGPT / Claude Chat▼

Please help me install this Agent Skill.
Skill: ghidra
Source: https://github.com/AeonDave/malskill/tree/main/offensive-tools/re/ghidra
Command: npx skills add https://github.com/AeonDave/malskill --skill ghidra-aeondave

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes references (resource) components.

What problem does it solve?

This Skill provides a powerful suite for static analysis of binaries, enabling users to understand complex code, identify vulnerabilities, and recover algorithms without executing the program.

Core Features & Use Cases

Disassembly and Decompilation: View assembly code and C pseudocode for deep code understanding.
Scripting: Automate analysis tasks with Python or Java scripts.
Use Case: Analyze a suspicious executable to understand its functionality, identify potential backdoors, or find exploitable weaknesses.

Quick Start

Use Ghidra to analyze the attached binary file 'sample.exe' and list the first 10 function names.

Frequently Asked Questions about ghidra

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

FAQPage Schema

How do I reverse engineer a binary to understand its functionality without executing it?▼

You can reverse engineer a binary by performing static analysis with a disassembler and decompiler suite like Ghidra. This approach allows you to view assembly code and C pseudocode to understand complex code, identify vulnerabilities, and recover algorithms without executing the program.

What's the best way to analyze a suspicious executable for potential backdoors?▼

The best way to analyze a suspicious executable is by using a decompiler suite to facilitate malware analysis. You can interactively browse the code, view decompiled C pseudocode, and identify exploitable weaknesses or potential backdoors safely through static analysis.

Do I need Java to use Ghidra for binary analysis?▼

Yes, you need Java 11 or higher to execute Ghidra for binary analysis. The suite leverages this runtime environment to support its GUI for interactive code browsing, disassembly, and decompilation tasks.

Can I automate disassembly and decompilation tasks for firmware reverse engineering?▼

Yes, you can automate disassembly and decompilation tasks for firmware reverse engineering by scripting the analysis with Python or Java. This allows you to streamline algorithm recovery and process binaries interactively or through automated scripts.

How does static binary analysis compare to dynamic analysis for malware detection?▼

Static binary analysis examines disassembled code and decompiled pseudocode without executing the program, making it safe for malware detection. This approach differs from dynamic analysis by allowing deep code understanding and algorithm recovery without risking active execution.

What are the limitations of using a decompiler for algorithm recovery?▼

A limitation of using a decompiler for algorithm recovery is that it generates C pseudocode rather than perfect source code, requiring manual interpretation. You must interactively browse the GUI and understand the assembly to accurately reconstruct complex algorithms.