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Agent Skill · 研究检索

analyzing-packed-malware-with-upx-unpacker(使用 upx 解包器分析加壳的恶意软件)

analyzing-packed-malware-with-upx-unpacker 用于查找、检索和筛选相关信息,适合在 Codex、Claude、Cursor、Gemini CLI 中需要根据关键词、任务场景或来源线索快速定位候选结果时使用。可结合来源仓库、安装命令和原始 README 继续核验具体用法。安装前建议确认权限范围、维护状态,以及是否会触发联网、命令执行或文件读写。

analyzing-packed-malware-with-upx-unpacker 是研究检索类 Agent Skill,可用宿主为 Codex、Claude、Cursor、Gemini CLI,通过GitHub 仓库获取,权限为需要联网;许可证信息还不明确,第三方扫描已通过,按安装量在研究检索类的 73,675 个 Skill 里排第 44,297。

总安装 924周安装 37GitHub Stars 5,927下载 299核验 2026-05-01

安装说明

本站只整理中文说明,不托管安装包,也不代用户安装。
GitHub
许可证
unknown

安装方式

通过对话安装

复制提示词发给支持本地命令或 Skills 的 AI 助手,先确认命令和权限,再让它执行。

请帮我安装这个 Agent Skill:analyzing-packed-malware-with-upx-unpacker(使用 upx 解包器分析加壳的恶意软件)
来源仓库:https://github.com/mukul975/anthropic-cybersecurity-skills
仓库路径:skills/analyzing-packed-malware-with-upx-unpacker
安装命令:
npx skills add https://github.com/mukul975/anthropic-cybersecurity-skills --skill analyzing-packed-malware-with-upx-unpacker
安装前请先检查当前环境是否支持对应 CLI,并向我确认将要执行的命令、安装目录、联网范围和文件读写权限;确认后再执行。

命令行安装

复制命令到本机终端执行。该命令会通过 npx skills 从第三方来源获取 Skill;本站只展示命令,不托管安装包,也不自动执行。

skills.shnpx skills
npx skills add https://github.com/mukul975/anthropic-cybersecurity-skills --skill analyzing-packed-malware-with-upx-unpacker

这个 Skill 是做什么的

研究检索类 Skill 主要解决「找资料、核对事实、把来源整理清楚」的问题,通常会让助手先检索再总结。

专门用于 UPX 加壳恶意软件的静态解包与原始代码还原。当标准 UPX 解压失败时启用自定义处理逻辑。输出可用于 Ghidra/IDA 等反汇编工具进行深度分析。需先确认样本为 UPX 打包且具备足够磁盘空间存放解压后文件。严禁在联网主机上执行未知样本以防逃逸检测。

analyzing-packed-malware-with-upx-unpacker 属于研究检索类 Skill,可作为该场景下的辅助能力补充。

来源仓库内路径:skills/analyzing-packed-malware-with-upx-unpacker

上手步骤

4 步
  1. 1

    确认自己的宿主工具

    公开资料标注支持 Codex、Claude、Cursor、Gemini CLI;先确认自己用的是其中之一,再按对应工具的 Skills 目录放置。

  2. 2

    拿到安装命令

    可以直接复制的命令是 npx skills add https://github.com/mukul975/anthropic-cybersecurity-skills --skil…;命令里的占位符换成自己的路径或密钥再执行。

  3. 3

    安装后重启宿主

    命令执行完要完全退出宿主工具再打开,让新装的 Skill 被重新扫描到,否则列表里可能看不到。

  4. 4

    按最小权限试用

    它需要需要联网,先在测试目录或测试账号里跑,确认没问题再放到正式项目。

常见问题

6 条

analyzing-packed-malware-with-upx-unpacker 怎么安装?

在终端执行 npx skills add https://github.com/mukul975/anthropic-cybersecurity-skills --skill analyzin…。装完完全退出宿主工具再打开,让它重新扫描本地 Skill。

analyzing-packed-malware-with-upx-unpacker 支持哪些 AI 工具?

公开资料标注支持 Codex、Claude、Cursor、Gemini CLI。其他工具只要能读取本地 Skill 目录,一般也能手动放进去,但要自己确认触发方式是否一致。

analyzing-packed-malware-with-upx-unpacker 需要什么权限?

权限级别是需要联网。该 Skill 可能需要联网访问来源站点、仓库或外部 API;具体网络访问范围需要结合源码和 README 复核。

analyzing-packed-malware-with-upx-unpacker 是免费的吗?

公开资料没有标注明确许可证,收费和商用限制都无法确认。正式使用前请到来源仓库核对授权说明。

analyzing-packed-malware-with-upx-unpacker 用的人多吗?

公开数据是累计安装 924 次,近一周安装 37 次,下载 299 次,GitHub 5,927 星。这些数字来自第三方目录统计,只能当作热度参考,不代表质量或安全性。

analyzing-packed-malware-with-upx-unpacker 安全吗?

第三方扫描结果为通过,但这只覆盖已知的静态检查项,不能替代自己读一遍源码和安装命令。

值得选的地方和要先想清楚的地方

值得选的地方

  • 同时适配 4 种工具,换客户端不用重新找替代品。
  • 第三方扫描已通过,常见的高风险行为没有命中。
  • 来源仓库有 5,927 星,维护活跃度相对可查。

先想清楚的地方

  • 许可证没有明确标注,能不能商用、能不能再分发都不确定。
  • 第三方目录整理,版本更新和行为细节以来源仓库为准。

适不适合你

更适合

  • 已经在用 Codex,想直接扩展它能力的人。
  • 需要处理研究检索类任务、又不想每次都手写提示词的人。

不太适合

  • 需要明确授权才能用到公司项目里的场景。
  • 需要厂商级技术支持和 SLA 的生产系统。

研究检索类 Skill 对比

6 个同类
Skill总安装GitHub 星权限许可证扫描
find-skills

寻找技能 · Codex、Claude

31,199,81316,486操作浏览器MIT有提醒
self-improving-agent

自我改进 Agent · OpenClaw

16,464,0023,396接触敏感数据MIT-0通过
soultrace

灵魂追踪 · Codex、Claude

7,588,94412需要联网未明确有提醒
self-improving

自我完善 · OpenClaw

6,829,2841,046需要联网MIT-0通过
microsoft-foundry

微软代工厂 · Codex、Claude

6,614,144764调用外部服务未明确有提醒
analyzing-packed-malware-with-upx-unpacker

使用 upx 解包器分析加壳的恶意软件 · 本页

9245,927需要联网未明确通过

按安装量取同分类前几名;数字来自第三方目录统计,只作热度参考,不代表质量结论。

SKILL.md 原文

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:

# 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:

# 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:

# 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:

# 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

TermDefinition
PackingCompressing or encrypting executable code to reduce file size and hinder static analysis; the binary contains an unpacking stub that restores code at runtime
UPXUltimate 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 ReconstructionProcess of rebuilding the import address table after dumping an unpacked process from memory using tools like Scylla or ImpRec
PUSHAD/POPADx86 instructions that save/restore all general-purpose registers; UPX uses this pattern to preserve register state during unpacking
Section EntropyRandomness measure of PE section data; packed sections show entropy > 7.0 while normal code sections average 5.0-6.5
Magic BytesSignature 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

平台分布

Codex

35.18%
按下载量换算105

Claude

30.49%
按下载量换算91

Cursor

21.09%
按下载量换算63

Gemini CLI

10.23%
按下载量换算31

安全审计

Gen Agent Trust Hub

通过

Socket

通过

Snyk

通过

权限和风险

需要联网

该 Skill 可能需要联网访问来源站点、仓库或外部 API;具体网络访问范围需要结合源码和 README 复核。

安装前确认

本站仅展示第三方公开信息,不托管安装包,不提供自动安装或运行环境。安装前应自行审查源码、依赖和命令行为。目前只有一个公开来源,建议同时核对源仓库。

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