# Reverse Engineering Malware With Ghidra

> Use when 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.

- Skill: `oyi77/reverse-engineering-malware-with-ghidra` (Agent Skill)
- Install (CLI): `npx skillmds add oyi77/reverse-engineering-malware-with-ghidra`
- Raw SKILL.md: https://api.skillmd.com/api/skills/oyi77/reverse-engineering-malware-with-ghidra/raw
- Safety review: pending
- Works with: Claude Code, Claude.ai, OpenAI Codex
- Category: Coding & Dev Tools
- License: Apache-2.0
- Author: oyi77 (https://skillmd.com/u/oyi77)
- Updated: 2026-09-08
- Page: https://skillmd.com/skills/oyi77/reverse-engineering-malware-with-ghidra

---


# 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

```python
# 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: str) -> dict:
    return {k: re.findall(v, text) for k, v in IOC_PATTERNS.items()}
```

1. **Define Objectives** — Clarify the goals and scope for engineering malware.
2. **Gather Resources** — Collect tools, data, and access needed for engineering malware.
3. **Execute Process** — Carry out engineering malware operations methodically.
4. **Verify Quality** — Check results against acceptance criteria.
5. **Document Outcomes** — Record findings, decisions, and next steps.

## Tools

- **ghidra** — Primary tool for this skill
- **Analysis Platform** — Data processing and visualization
- **Collaboration Tools** — Team coordination and knowledge sharing


## Process

1. **Reconnaissance** — Gather target information, identify attack surface, enumerate services
1. **Analysis/Exploitation** — Execute the technique, analyze results, document findings
1. **Reporting** — Document IOCs, write findings, provide remediation recommendations

## Verification

- [ ] All engineering malware procedures executed completely and documented
- [ ] Findings validated against multiple data sources
- [ ] False positives identified and filtered
- [ ] Results documented with evidence and timestamps
- [ ] Recommendations provided with risk-based prioritization

## Anti-Rationalization Table

| Rationalization | Reality |
|---|---|
| "We are too small to be targeted" | Automated attacks target everyone. Size does not matter. |
| "Security slows us down" | A breach slows you down 100x more. Build security in from the start. |
| "We will fix it after launch" | Vulnerabilities in production are exploited within hours. Fix before deploy. |