analyzing-packed-malware-with-upx-unpacker — Claude Code skill
This skill walks you through unpacking a disguised UPX sample and recovering the original executable for static analysis.
npx skills add mukul975/Anthropic-Cybersecurity-Skills --skill analyzing-packed-malware-with-upx-unpacker -a claude-codeWhat analyzing-packed-malware-with-upx-unpacker does
The skill runs in stages: identify the packer, try the built-in UPX decompression, and if that fails, repair the tampered headers by hand. It fits samples with high-entropy sections, almost no imports, or an import table holding only LoadLibrary and GetProcAddress. Malware authors often edit the UPX! signature or the section names, so the automated path goes quiet.
Inside you get commands for diec and upx -t, a Python script using pefile to measure section entropy and hunt for modified bytes, plus a manual route through x64dbg with a Scylla dump. Header repair needs Python 3.8+ and pefile; the manual route needs x64dbg or x32dbg and PE-bear or CFF Explorer.
UPX itself installs with apt install upx-ucl. Run the work in an isolated VM with no network. Custom packers and VM protectors such as Themida or VMProtect are out of scope here — they call for a different approach, and following this path just burns time.
What it helps with
- confirm a sample is UPX-packed
- unpack a binary with a wiped
UPX!signature - repair
UPX0andUPX1section names in the header - dump a process and rebuild its import table
- get a file ready for disassembly in Ghidra or IDA
Example prompts for the agent
- Check suspect.exe for packing and show me the section entropy
- UPX won't unpack this file — repair the headers and try again
- Unpack the sample manually in x64dbg and dump it with Scylla
How to install analyzing-packed-malware-with-upx-unpacker
1Skills CLI (Vercel)
npx skills add mukul975/Anthropic-Cybersecurity-Skills --skill analyzing-packed-malware-with-upx-unpacker -a claude-code2Manually: put the files in place
~/.claude/skills/analyzing-packed-malware-with-upx-unpacker/SKILL.mdCopy the whole skill folder; for one project use .claude/skills/analyzing-packed-malware-with-upx-unpacker/
1Skills CLI (Vercel)
npx skills add mukul975/Anthropic-Cybersecurity-Skills --skill analyzing-packed-malware-with-upx-unpacker -a codex2Manually: put the files in place
.agents/skills/analyzing-packed-malware-with-upx-unpacker/SKILL.mdFor all projects use ~/.agents/skills/
1Skills CLI (Vercel)
npx skills add mukul975/Anthropic-Cybersecurity-Skills --skill analyzing-packed-malware-with-upx-unpacker -a cursor2Manually: put the files in place
.cursor/skills/analyzing-packed-malware-with-upx-unpacker/SKILL.mdCursor also reads .agents/skills/ and .claude/skills/
1GitHub CLI
gh skill install mukul975/Anthropic-Cybersecurity-Skills analyzing-packed-malware-with-upx-unpacker2Manually: put the files in place
.github/skills/analyzing-packed-malware-with-upx-unpacker/SKILL.md1Skills CLI (Vercel)
npx skills add mukul975/Anthropic-Cybersecurity-Skills --skill analyzing-packed-malware-with-upx-unpacker -a gemini-cli2Platform CLI
gemini skills install https://github.com/mukul975/Anthropic-Cybersecurity-Skills --path skills/analyzing-packed-malware-with-upx-unpackerManually: put the files in place
.devin/skills/analyzing-packed-malware-with-upx-unpacker/SKILL.mdThe legacy .windsurf/skills/ path still works
Skills CLI (Vercel)
npx skills add mukul975/Anthropic-Cybersecurity-Skills --skill analyzing-packed-malware-with-upx-unpacker -a opencodeClaude.ai
Zip the folder and upload it in Settings → Capabilities → Skills
Step by step, with commands for each platform: How to install skills in Claude Code: five ways
Questions about analyzing-packed-malware-with-upx-unpacker
How do I install analyzing-packed-malware-with-upx-unpacker in Claude?
Run npx skills add mukul975/Anthropic-Cybersecurity-Skills --skill analyzing-packed-malware-with-upx-unpacker -a claude-code. The skill then lives at ~/.claude/skills/analyzing-packed-malware-with-upx-unpacker/SKILL.md.
What does analyzing-packed-malware-with-upx-unpacker do?
It identifies the packer, tries standard UPX decompression, and when that fails, repairs modified magic bytes and section names. The result is the original executable for static analysis.
When is this skill the wrong tool?
Custom packers and VM protectors like Themida or VMProtect are not covered. Those samples need dynamic unpacking through a debugger instead.
Source text
SKILL.md · Apache-2.0
---
name: analyzing-packed-malware-with-upx-unpacker
description: 'Identifies and unpacks UPX-packed malware samples, including binaries with modified UPX magic bytes or headers that block automated decompression, to recover the original executable for static analysis. Use when a sample shows high entropy, minimal imports, or only LoadLibrary/GetProcAddress in its import table, or when preparing a packed binary for disassembly in Ghidra or IDA.
'
domain: cybersecurity
subdomain: malware-analysis
tags:
- malware
- unpacking
- UPX
- packing
- static-analysis
version: 1.0.0
author: mahipal
license: Apache-2.0
nist_csf:
- DE.AE-02
- RS.AN-03
- ID.RA-01
- DE.CM-01
mitre_attack:
- T1027.002
- T1140
- T1620
---
# Analyzing Packed Malware with UPX Unpacker
## When to Use
- Static analysis reveals high entropy sections and minimal imports indicating the binary is packed
- PEiD, Detect It Easy, or PEStudio identifies UPX or another known packer
- The import table contains only LoadLibrary and GetProcAddress (runtime import resolution typical of packed binaries)
- You need to recover the original binary for proper disassembly and decompilation in Ghidra or IDA
- Automated UPX decompression fails because the malware author modified UPX magic bytes or headers
**Do not use** when dealing with custom packers, VM-based protectors (Themida, VMProtect), or samples where dynamic unpacking via debugging is more appropriate.
## Prerequisites
- UPX (Ultimate Packer for eXecutables) installed (`apt install upx-ucl` or download from https://upx.github.io/)
- Detect It Easy (DIE) for packer identification
- Python 3.8+ with `pefile` library for manual header repair
- x64dbg or x32dbg for manual unpacking when automated tools fail
- PE-bear or CFF Explorer for PE header inspection and repair
- Isolated analysis VM without network connectivity
## Workflow
### Step 1: Identify the Packer
Determine if the sample is packed and identify the packer:
```bash
# Check with Detect It Easy
diec suspect.exe
# Check with UPX (test without unpacking)
upx -t suspect.exe
# Python-based entropy and packer detection
python3 << 'PYEOF'
import pefile
import math
pe = pefile.PE("suspect.exe")
print("Section Analysis:")
for section in pe.sections:
name = section.Name.decode().rstrip('\x00')
entropy = section.get_entropy()
raw = section.SizeOfRawData
virtual = section.Misc_VirtualSize
print(f" {name:8s} Entropy: {entropy:.2f} Raw: {raw:>8} Virtual: {virtual:>8}")
# Check for UPX section names
section_names = [s.Name.decode().rstrip('\x00') for s in pe.sections]
if 'UPX0' in section_names or 'UPX1' in section_names:
print("\n[!] UPX section names detected")
elif '.upx' in [s.lower() for s in section_names]:
print("\n[!] UPX variant section names detected")
# Check import count (packed binaries have very few)
if hasattr(pe, 'DIRECTORY_ENTRY_IMPORT'):
total_imports = sum(len(e.imports) for e in pe.DIRECTORY_ENTRY_IMPORT)
print(f"\nTotal imports: {total_imports}")
if total_imports < 10:
print("[!] Very few imports - likely packed")
else:
print("\n[!] No import directory - heavily packed")
PYEOF
```
### Step 2: Attempt Standard UPX Decompression
Try the built-in UPX decompression:
```bash
# Standard UPX decompress
upx -d suspect.exe -o unpacked.exe
# If UPX fails with "not packed by UPX" error, the headers may be modified
# Verbose output for debugging
upx -d suspect.exe -o unpacked.exe -v 2>&1
# Verify the unpacked file
file unpacked.exe
diec unpacked.exe
```
### Step 3: Repair Modified UPX Headers
If standard decompression fails, repair tampered magic bytes:
```python
# Repair modified UPX headers
import struct
with open("suspect.exe", "rb") as f:
data = bytearray(f.read())
# UPX magic bytes: "UPX!" (0x55505821)
# Malware authors commonly modify these to prevent automatic unpacking
# Search for modified UPX signatures
upx_magic = b"UPX!"
modified_patterns = [b"UPX0", b"UPX\x00", b"\x00PX!", b"UPx!"]
# Find and restore section names
pe_offset = struct.unpack_from("<I", data, 0x3C)[0]
num_sections = struct.unpack_from("<H", data, pe_offset + 6)[0]
section_table_offset = pe_offset + 0x18 + struct.unpack_from("<H", data, pe_offset + 0x14)[0]
print(f"PE offset: 0x{pe_offset:X}")
print(f"Number of sections: {num_sections}")
print(f"Section table offset: 0x{section_table_offset:X}")
for i in range(num_sections):
offset = section_table_offset + (i * 40)
name = data[offset:offset+8]
print(f"Section {i}: {name}")
# Restore UPX magic bytes in the binary
# Search for the UPX header signature location (typically near the end of packed data)
for i in range(len(data) - 4):
if data[i:i+3] == b"UPX" and data[i+3] != ord("!"):
print(f"Found modified UPX magic at offset 0x{i:X}: {data[i:i+4]}")
data[i:i+4] = b"UPX!"
print(f"Restored to: UPX!")
# Also restore section names if modified
for i in range(num_sections):
offset = section_table_offset + (i * 40)
name = data[offset:offset+8].rstrip(b'\x00')
if name in [b"UPX0", b"UPX1", b"UPX2"]:
continue # Already correct
# Check for common modifications
if name.startswith(b"UP") or name.startswith(b"ux"):
original = f"UPX{i}".encode().ljust(8, b'\x00')
data[offset:offset+8] = original
print(f"Restored section name at 0x{offset:X} to {original}")
with open("suspect_fixed.exe", "wb") as f:
f.write(data)
print("\nFixed file written. Retry: upx -d suspect_fixed.exe -o unpacked.exe")
```
### Step 4: Manual Unpacking with Debugger
When automated unpacking fails entirely, use dynamic unpacking:
```
Manual UPX Unpacking with x64dbg:
━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━
1. Load packed sample in x64dbg
2. Run to the entry point (system breakpoint then F9)
3. UPX unpacking stub pattern:
a. PUSHAD (saves all registers)
b. Decompression loop (processes packed sections)
c. Resolves imports (LoadLibrary/GetProcAddress calls)
d. POPAD (restores registers)
e. JMP to OEP (original entry point)
4. Set hardware breakpoint on ESP after PUSHAD:
- After PUSHAD, right-click ESP in registers -> Follow in Dump
- Set hardware breakpoint on access at [ESP] address
- Run (F9) - breaks at POPAD before JMP to OEP
5. Step forward (F7/F8) until you reach the JMP to OEP
6. At OEP: Use Scylla plugin to dump and fix imports:
- Plugins -> Scylla -> OEP = current EIP
- Click "IAT Autosearch" -> "Get Imports"
- Click "Dump" to save unpacked binary
- Click "Fix Dump" to repair import table
```
### Step 5: Validate Unpacked Binary
Verify the unpacked sample is valid and complete:
```bash
# Verify unpacked PE is valid
python3 << 'PYEOF'
import pefile
pe = pefile.PE("unpacked.exe")
# Check sections are normal
print("Unpacked Section Analysis:")
for section in pe.sections:
name = section.Name.decode().rstrip('\x00')
entropy = section.get_entropy()
print(f" {name:8s} Entropy: {entropy:.2f}")
# Verify imports are resolved
print(f"\nImport count:")
if hasattr(pe, 'DIRECTORY_ENTRY_IMPORT'):
for entry in pe.DIRECTORY_ENTRY_IMPORT:
dll = entry.dll.decode()
count = len(entry.imports)
print(f" {dll}: {count} functions")
total = sum(len(e.imports) for e in pe.DIRECTORY_ENTRY_IMPORT)
print(f" Total: {total} imports")
# Compare file sizes
import os
packed_size = os.path.getsize("suspect.exe")
unpacked_size = os.path.getsize("unpacked.exe")
print(f"\nPacked: {packed_size:>10} bytes")
print(f"Unpacked: {unpacked_size:>10} bytes")
print(f"Ratio: {unpacked_size/packed_size:.1f}x")
PYEOF
```
## Key Concepts
| Term | Definition |
|------|------------|
| **Packing** | Compressing or encrypting executable code to reduce file size and hinder static analysis; the binary contains an unpacking stub that restores code at runtime |
| **UPX** | Ultimate Packer for eXecutables; open-source executable packer commonly abused by malware authors because it is free and effective |
| **Original Entry Point (OEP)** | The real starting address of the malware code before packing; the unpacking stub decompresses code then jumps to the OEP |
| **Import Reconstruction** | Process of rebuilding the import address table after dumping an unpacked process from memory using tools like Scylla or ImpRec |
| **PUSHAD/POPAD** | x86 instructions that save/restore all general-purpose registers; UPX uses this pattern to preserve register state during unpacking |
| **Section Entropy** | Randomness measure of PE section data; packed sections show entropy > 7.0 while normal code sections average 5.0-6.5 |
| **Magic Bytes** | Signature bytes within a file identifying its format; UPX uses "UPX!" which malware authors modify to prevent automated decompression |
## Tools & Systems
- **UPX**: Open-source executable packer with built-in decompression capability for properly packed files
- **Detect It Easy (DIE)**: Packer, compiler, and linker detection tool that identifies protection on PE, ELF, and Mach-O files
- **x64dbg/x32dbg**: Open-source Windows debugger used for manual unpacking through dynamic execution and breakpoint-based OEP finding
- **Scylla**: Import reconstruction tool integrated with x64dbg for rebuilding IAT after memory dumping
- **PE-bear**: PE file viewer and editor for inspecting and repairing PE headers after unpacking
## Common Scenarios
### Scenario: Unpacking Malware with Modified UPX Headers
**Context**: A malware sample is identified as UPX-packed by section names (UPX0, UPX1) but `upx -d` fails with "CantUnpackException: header corrupted". The malware author modified the UPX magic bytes to prevent automated decompression.
**Approach**:
1. Open the binary in a hex editor and search for the UPX header area (typically at the end of packed data)
2. Identify the modified magic bytes (e.g., "UPX!" changed to "UPX\x00" or completely zeroed)
3. Use the Python repair script to restore "UPX!" magic and correct section names
4. Retry `upx -d` on the repaired binary
5. If repair fails, fall back to manual unpacking with x64dbg (PUSHAD -> hardware BP on ESP -> POPAD -> JMP OEP)
6. Validate the unpacked binary has proper imports and reasonable entropy values
7. Import into Ghidra or IDA for full static analysis
**Pitfalls**:
- Assuming UPX is the only packer; the binary may be double-packed (UPX + custom layer)
- Modifying the original packed sample instead of working on a copy
- Not reconstructing imports after manual memory dump (the dumped binary will crash without IAT fix)
- Forgetting to check for overlay data appended after the UPX-packed PE sections
## Output Format
```
UNPACKING ANALYSIS REPORT
===========================
Sample: suspect.exe
SHA-256: e3b0c44298fc1c149afbf4c8996fb924...
Packer: UPX 3.96 (modified headers)
PACKED BINARY
Sections: UPX0 (entropy: 0.00) UPX1 (entropy: 7.89) .rsrc (entropy: 3.45)
Imports: 2 (kernel32.dll: LoadLibraryA, GetProcAddress)
File Size: 98,304 bytes
UNPACKING METHOD
Method: Header repair + UPX -d
Header Fix: Restored UPX! magic at offset 0x1F000
Command: upx -d suspect_fixed.exe -o unpacked.exe
Result: SUCCESS
UNPACKED BINARY
Sections: .text (entropy: 6.21) .rdata (entropy: 4.56) .data (entropy: 3.12) .rsrc (entropy: 3.45)
Imports: 147 (kernel32, user32, advapi32, wininet, ws2_32)
File Size: 245,760 bytes (2.5x expansion)
OEP: 0x00401000
VALIDATION
PE Valid: Yes
Imports Resolved: Yes (147 functions across 8 DLLs)
Executable: Yes (runs without crash in sandbox)
NEXT STEPS
- Import unpacked.exe into Ghidra for full disassembly
- Run YARA rules against unpacked binary
- Submit unpacked binary to VirusTotal for improved detection
```
© mahipal · Apache-2.0 · mukul975/Anthropic-Cybersecurity-Skills