reverse-skills-max/vendor-new/analyst-ai-pack/skills/reverse-engineering-shellcode/SKILL.md

name, description, domain, subdomain, tags, version, author, license, mitre_attack, d3fend, references

name	description	domain	subdomain	tags	version	author	license	mitre_attack	d3fend	references
reverse-engineering-shellcode	Analyzes position-independent shellcode: disassembling raw bytes at the right architecture, recognizing PEB-walk API resolution and egg hunters, and emulating execution to recover behavior and payloads. Activates for requests to analyze shellcode, disassemble raw position-independent code, or emulate a shellcode blob.	cybersecurity	reverse-engineering	reverse-engineering shellcode emulation position-independent peb-walk disassembly	1.0.0	analyst-ai-pack	Apache-2.0	T1055 T1106 T1027	D3-PSA D3-FCR	Capstone disassembly framework — https://www.capstone-engine.org/ Unicorn CPU emulator — https://www.unicorn-engine.org/

Reverse Engineering Shellcode

When to Use

• You extracted a raw code blob (from a document, exploit, injected memory region, or beacon) with no PE/ELF headers.
• You need to determine the architecture, recover the API-resolution method, and understand what the shellcode does.
• You want to emulate the shellcode safely to recover staged payloads or C2.

Do not use a file-format parser on shellcode — there is no header. Treat it as a flat byte stream at a known base and disassemble/emulate.

Prerequisites

• Capstone (pip install capstone) for disassembly; Unicorn (pip install unicorn) for emulation.
• Knowledge of the likely architecture/bitness (x86 vs x64) and calling context.

Workflow

Step 1: Determine architecture and entry

Try disassembling as x86 and x64; the one that yields coherent instructions (and a sane prologue) is correct. Shellcode usually starts executing at offset 0.

python scripts/analyst.py disasm shellcode.bin --arch x64

Step 2: Recognize API resolution

Windows shellcode typically walks the PEB to find kernel32, then resolves exports by hash:

mov rax, gs:[60h]        ; PEB (x64)   / mov eax, fs:[30h] (x86)
... traverse Ldr -> InMemoryOrderModuleList
... hash export names, compare to embedded constants

Recovered hash constants feed the API-hash resolver (see the obfuscation skill).

Step 3: Identify the technique

Look for egg hunters (searching memory for a tag), socket setup (reverse/bind shell), or a download-and-exec stager (WinINet/WinHTTP resolution then a URL).

Step 4: Emulate to recover behavior

Emulate with Unicorn, hooking memory and (optionally) faking API calls, to observe the control flow and extract strings/URLs the static view hides:

python scripts/analyst.py emulate shellcode.bin --arch x64 --base 0x140000000

Step 5: Extract IOCs and payload

Recover C2 URLs/hosts, embedded second stages, and the resolved API set for the report.

Validation

• The chosen architecture yields a coherent prologue and no garbage instruction stream.
• Recovered API hashes resolve to a sensible function set (LoadLibrary/GetProcAddress, network APIs).
• Emulation reaches the network/exec stage consistent with the static read.

Pitfalls

• Disassembling at the wrong bitness and chasing nonsense.
• Emulating without bounding execution, looping forever on unresolved calls.
• Ignoring self-modifying decoders — emulate through the decode stub to reach real code.

References

• See references/api-reference.md for the disassembler and emulator wrapper.
• Capstone and Unicorn (linked in frontmatter).