reverse-engineering-malware-with-ghidra

name	reverse-engineering-malware-with-ghidra
description	Reverse engineers malware binaries using NSA's Ghidra disassembler and decompiler to understand internal logic, cryptographic routines, C2 protocols, and evasion techniques at the assembly and pseudo-C level. Activates for requests involving malware reverse engineering, disassembly analysis, decompilation, binary analysis, or understanding malware internals. . Use when working with reverse engineering malware with ghidra.
domain	cybersecurity
tags	["malware","reverse-engineering","Ghidra","disassembly","decompilation"]
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"]

Reverse Engineering Malware With Ghidra

Overview

Cybersecurity skill for reverse engineering malware with ghidra. Follows industry best practices and security standards.

When to Use

Trigger phrases:

• "reverse engineering malware with ghidra"

• "reverseing engineering malware with ghidra"

• "Reverse engineers malware binaries using NSA''s Ghidra disassembler and decompil"

• Static and dynamic analysis have identified suspicious functionality that requires deeper code-level understanding

• You need to reverse engineer C2 communication protocols, encryption algorithms, or custom obfuscation

• Understanding the exact exploit mechanism or vulnerability targeted by a malware sample

• Extracting hardcoded configuration data (C2 addresses, encryption keys, campaign IDs) embedded in compiled code

• Developing precise YARA rules or detection signatures based on unique code patterns

Do not use for initial triage of unknown samples; perform static analysis with PEStudio and behavioral analysis with Cuckoo first.

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

• Ghidra 11.x installed (download from https://ghidra-sre.org/) with JDK 17+
• Analysis VM isolated from production network (Windows or Linux host)
• Familiarity with x86/x64 assembly language and Windows API conventions
• PDB symbol files for Windows system DLLs to improve decompilation accuracy
• Ghidra scripts repository (ghidra_scripts) for automated analysis tasks
• Secondary reference: IDA Free or Binary Ninja for cross-validation of analysis results

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": ,
}

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