Atlas / Skills / mukul975 / Analyzing Packed Malware With Upx Unpacker

Analyzing Packed Malware With Upx UnpackerSAFE

skills/mukul975/analyzing-packed-malware-with-upx-unpacker

817 structured cybersecurity skills for AI agents · Mapped to 6 frameworks: MITRE ATT&CK, NIST CSF 2.0, MITRE ATLAS, D3FEND, NIST AI RMF & MITRE F3 (Fight Fraud) · agentskills.io standard · Works with Claude Code, GitHub Copilot, Codex CLI, Cursor, Gemini CLI & 20+ platforms · 29 security domains ·

Verdict
SAFE
Grade
B
Trust score
89 /100
Version
1.0.0
Hosts
—
License
Apache-2.0
Stars
33,876
01

Overview

817 structured cybersecurity skills for AI agents · Mapped to 6 frameworks: MITRE ATT&CK, NIST CSF 2.0, MITRE ATLAS, D3FEND, NIST AI RMF & MITRE F3 (Fight Fraud) · agentskills.io standard · Works with Claude Code, GitHub Copilot, Codex CLI, Cursor, Gemini CLI & 20+ platforms · 29 security domains ·

Read from source at commit 6c59587be632OBSERVED · 2026-10-07
02

What it tells the agent

The instruction file, verbatim from the audited commit — this is the text the model reads, and the surface the audit's instruction layer examines. Quoted here so you can judge it without cloning anything.

---
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. 
03

Trust audit

SAFEgrade B · trust 89/100 Nothing in the source contradicts what it says it does. Grade A is reserved for packages that have also passed the behavioural sandbox.

LayerWhat it checksResult
L0Provenance & inventoryPASS
L1Static analysis of the codePASS
L2Instruction surface (what it tells the agent)PASS
L3Class-specific surfacePASS
L4Behavioural (sandbox)SKIPPED

What the source does

Filesystem
none-observed
Network
none-observed
Shell
none-observed
Dependencies
pinned
Secrets in source
none-found

Findings (1)

LOWInsecure crypto · crypto.weak_hash · CWE-327, CWE-338
scripts/agent.py:20
md5 = hashlib.md5()

Gates applied: no_behavioural_pass.

Audited 2026-10-07 · audit v0.4.1 · source sha 6c59587be632full audit observations/trust-audit/skill/mukul975__analyzing-packed-malware-with-upx-unpacker.json · Report an issue / request a re-scan
04

Audit history

Every audit this skill has had.

DateSourceVerdictGradeScoreChange
2026-10-076c59587be632SAFEB89first audit
05

Questions

What does the Analyzing Packed Malware With Upx Unpacker skill do?

817 structured cybersecurity skills for AI agents · Mapped to 6 frameworks: MITRE ATT&CK, NIST CSF 2.0, MITRE ATLAS, D3FEND, NIST AI RMF & MITRE F3 (Fight Fraud) · agentskills.io standard · Works with Claude Code, GitHub Copilot, Codex CLI, Cursor, Gemini CLI & 20+ platforms · 29 security domains ·

Is Analyzing Packed Malware With Upx Unpacker safe to install?

The audit found nothing in the source that contradicts what it says it does, and graded it B (89/100). Grade A is held back for packages that have also passed a sandboxed behavioural run, which is why a clean skill reads B.

What can Analyzing Packed Malware With Upx Unpacker access on my machine?

The audit observed no filesystem, network or shell use at all in its source.

How current is this page?

The grade is for one exact copy of the source (6c59587be632), read on 2026-10-07. The repository is watched, and a new audit runs when it changes — this is the first audit.

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