Individual skill
reverse-engineering-malware-with-ghidra
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.
internal/tools/skills/data/malware-analysis/reverse-engineering-malware-with-ghidra/SKILL.md
Source commit d42f381ad34843e71a42658e5c57290c713e85af
What was checked
- Matches the observed repository HEAD
- Yes
- Scanner rules are current
- Yes
- Repository scan complete
- No
- Skill scan complete
- No
- Observed behavior
- Network or broad shell
- Last checked
- Nov 9, 2026
These are observations at the recorded commit, not a guarantee of safety. Review the source before running it.
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Repository context
- Repository stars (not skill ratings)
- 1,316
- Repository last updated
- Nov 8, 2026
- License
- Apache-2.0
Observed agent integration: No specific integration evidence. Standard SKILL.md installation does not imply verified compatibility.
- cybersecurity Repository topic
- security Repository topic
- bug-bounty Repository topic
- automation Repository topic
- autonomous-pentesting Repository topic
- ai-agent Repository topic
- ai-security Repository topic
- ethical-hacking Repository topic
- golang Repository topic
- penetration-testing Repository topic
- malware Declared skill tag
- reverse-engineering Declared skill tag
- ghidra Declared skill tag
- disassembly Declared skill tag
- decompilation Declared skill tag
- engineering Derived category
Files and excerpt
File metadata and permitted, redacted excerpts come from the recorded scan. Source links are pinned to that commit.
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# Reverse Engineering Malware with Ghidra
## When to Use
- 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.
## Detection Gaps & Validation
