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Agent Skill · 研究检索

deobfuscating-powershell-obfuscated-malware(反混淆 powershell 混淆的恶意软件)

deobfuscating-powershell-obfuscated-malware 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。

deobfuscating-powershell-obfuscated-malware 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,权限为接触敏感数据;许可证信息还不明确,第三方扫描有未通过项,按安装量在研究检索类的 73,675 个 Skill 里排第 49,122。

总安装 661周安装 27GitHub Stars 5,907下载 214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:deobfuscating-powershell-obfuscated-malware(反混淆 powershell 混淆的恶意软件)
来源仓库:https://github.com/mukul975/anthropic-cybersecurity-skills
仓库路径:skills/deobfuscating-powershell-obfuscated-malware
安装命令:
npx skills add https://github.com/mukul975/anthropic-cybersecurity-skills --skill deobfuscating-powershell-obfuscated-malware
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 deobfuscating-powershell-obfuscated-malware

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。

deobfuscating-powershell-obfuscated-malware 解析多层混淆的 PowerShell 恶意脚本,还原执行逻辑。应对 Base64、字符替换、Invoke-Expression 嵌套等高级混淆技术。结合 AST 分析与自动化工具链,系统性拆解恶意代码意图与攻击路径。

仅限授权安全研究人员使用,禁止用于传播或实施网络攻击行为。适用宿主包括 Codex、Claude、Cursor、Gemini CLI,接入前应确认版本、权限和运行环境要求。

来源仓库内路径:skills/deobfuscating-powershell-obfuscated-malware

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

    它需要接触敏感数据,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

deobfuscating-powershell-obfuscated-malware 怎么安装?

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

deobfuscating-powershell-obfuscated-malware 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。

deobfuscating-powershell-obfuscated-malware 需要什么权限?

权限级别是接触敏感数据。该 Skill 可能接触密钥、Token、环境变量或敏感配置,应进入高风险复核队列,默认不自动发布。

deobfuscating-powershell-obfuscated-malware 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。

deobfuscating-powershell-obfuscated-malware 用的人多吗?

公开数据是累计安装 661 次,近一周安装 27 次,下载 214 次,GitHub 5,907 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。

deobfuscating-powershell-obfuscated-malware 安全吗?

第三方扫描有未通过项,风险较高。除非你确认过源码,否则不建议直接安装到常用环境。

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。
  • 来源仓库有 5,907 星,维护活跃度相对可查。

先想清楚的地方

  • 需要接触敏感数据,装到常用环境前要先评估影响面。
  • 许可证没有明确标注,能不能商用、能不能再分发都不确定。
  • 第三方扫描存在提醒项或未通过项,需要人工逐条确认。
  • 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

  • 环境里有大量密钥、凭证,不方便给第三方 Skill 读取的人。
  • 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
deobfuscating-powershell-obfuscated-malware

反混淆 powershell 混淆的恶意软件 · 本页

6615,907接触敏感数据未明确未通过

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

Deobfuscating PowerShell Obfuscated Malware

Overview

PowerShell is heavily abused by malware authors due to its deep Windows integration and powerful scripting capabilities. Obfuscation techniques include string concatenation, Base64 encoding, character substitution, Invoke-Expression layering, SecureString abuse, environment variable manipulation, and tick-mark insertion. Modern malware uses multiple obfuscation layers requiring iterative deobfuscation. Tools like PSDecode, PowerDecode, and PowerPeeler automate much of this process, while manual AST (Abstract Syntax Tree) analysis handles custom obfuscation. PowerPeeler achieves a 95% deobfuscation correctness rate using instruction-level dynamic analysis of expression-related AST nodes.

When to Use

  • When performing authorized security testing that involves deobfuscating powershell obfuscated malware
  • When analyzing malware samples or attack artifacts in a controlled environment
  • When conducting red team exercises or penetration testing engagements
  • When building detection capabilities based on offensive technique understanding

Prerequisites

  • Python 3.9+ with base64, re, subprocess modules
  • PowerShell 5.1+ or PowerShell 7+ (for AST access)
  • PSDecode (Install-Module PSDecode)
  • PowerDecode (https://github.com/Malandrone/PowerDecode)
  • Isolated VM or sandbox for safe script execution
  • CyberChef for manual encoding transformations
  • Understanding of PowerShell AST and Invoke-Expression patterns

Key Concepts

Common Obfuscation Techniques

PowerShell malware employs layered obfuscation to evade static detection. String concatenation splits commands across variables ($a='In'+'voke'). Base64 encoding wraps entire scripts in -EncodedCommand parameters. Character code arrays use [char] casting ([char[]](73,69,88)|%{$r+=$_}). Environment variable abuse reads substrings from $env: paths. Tick-mark insertion adds backticks between characters that PowerShell ignores (Invoke-Expression`). SecureString conversion encrypts strings using ConvertTo-SecureString with embedded keys.

AST-Based Deobfuscation

PowerShell's Abstract Syntax Tree exposes the parsed structure of scripts regardless of surface-level obfuscation. By walking the AST and evaluating expression nodes, analysts can resolve concatenated strings, decode encoded values, and reconstruct the original commands. PowerPeeler uses this approach at the instruction level, monitoring the execution process to correlate AST nodes with their evaluated results.

Dynamic Execution Tracing

By replacing Invoke-Expression (IEX) with Write-Output, analysts can safely capture the deobfuscated script content that would normally be executed. This technique works across multiple layers by iteratively replacing IEX calls until the final payload is revealed.

Workflow

Step 1: Identify Obfuscation Layers

#!/usr/bin/env python3
"""Identify and classify PowerShell obfuscation techniques."""
import re
import base64
import sys

def analyze_obfuscation(script_content):
    """Identify obfuscation techniques used in PowerShell script."""
    techniques = []

    # Check for Base64 encoded command
    b64_pattern = re.compile(
        r'-[Ee](?:nc(?:odedcommand)?)\s+([A-Za-z0-9+/=]{20,})',
        re.IGNORECASE
    )
    if b64_pattern.search(script_content):
        techniques.append("Base64 EncodedCommand")

    # Check for FromBase64String
    if re.search(r'\[Convert\]::FromBase64String', script_content, re.IGNORECASE):
        techniques.append("Base64 FromBase64String")

    # Check for string concatenation
    concat_count = script_content.count("'+'") + script_content.count('"+"')
    if concat_count > 3:
        techniques.append(f"String Concatenation ({concat_count} joins)")

    # Check for char array construction
    if re.search(r'\[char\]\s*\d+', script_content, re.IGNORECASE):
        techniques.append("Character Code Array")

    # Check for Invoke-Expression variants
    iex_patterns = [
        r'Invoke-Expression',
        r'\bIEX\b',
        r'\.\s*\(\s*\$',
        r'&\s*\(\s*\$',
        r'\|\s*IEX',
        r'\|\s*Invoke-Expression',
    ]
    for pattern in iex_patterns:
        if re.search(pattern, script_content, re.IGNORECASE):
            techniques.append(f"Invoke-Expression variant: {pattern}")

    # Check for tick-mark obfuscation
    tick_count = script_content.count('`')
    if tick_count > 5:
        techniques.append(f"Tick-mark Insertion ({tick_count} backticks)")

    # Check for environment variable abuse
    if re.search(r'\$env:', script_content, re.IGNORECASE):
        env_refs = re.findall(r'\$env:\w+', script_content, re.IGNORECASE)
        if len(env_refs) > 2:
            techniques.append(f"Environment Variable Abuse ({len(env_refs)} refs)")

    # Check for SecureString
    if re.search(r'ConvertTo-SecureString', script_content, re.IGNORECASE):
        techniques.append("SecureString Encryption")

    # Check for compression
    if re.search(r'IO\.Compression|DeflateStream|GZipStream',
                 script_content, re.IGNORECASE):
        techniques.append("Compression (Deflate/GZip)")

    # Check for XOR encoding
    if re.search(r'-bxor\s+\d+', script_content, re.IGNORECASE):
        techniques.append("XOR Encoding")

    # Check for Replace chain
    replace_count = len(re.findall(r'\.Replace\(', script_content))
    if replace_count > 2:
        techniques.append(f"Replace Chain ({replace_count} replacements)")

    return techniques

def decode_base64_command(script_content):
    """Extract and decode Base64 encoded commands."""
    b64_match = re.search(
        r'-[Ee](?:nc(?:odedcommand)?)\s+([A-Za-z0-9+/=]{20,})',
        script_content, re.IGNORECASE
    )
    if b64_match:
        encoded = b64_match.group(1)
        try:
            decoded = base64.b64decode(encoded).decode('utf-16-le')
            return decoded
        except Exception:
            return None
    return None

def remove_tick_marks(script_content):
    """Remove PowerShell tick-mark obfuscation."""
    # Remove backticks that are not escape sequences
    escape_chars = {'`n', '`r', '`t', '`a', '`b', '`f', '`v', '`0', '``'}
    result = []
    i = 0
    while i < len(script_content):
        if script_content[i] == '`' and i + 1 < len(script_content):
            pair = script_content[i:i+2]
            if pair in escape_chars:
                result.append(pair)
                i += 2
            else:
                # Skip the backtick, keep the next char
                result.append(script_content[i+1])
                i += 2
        else:
            result.append(script_content[i])
            i += 1
    return ''.join(result)

def resolve_string_concat(script_content):
    """Resolve simple string concatenation patterns."""
    # Pattern: 'str1' + 'str2'
    pattern = re.compile(r"'([^']*)'\s*\+\s*'([^']*)'")
    while pattern.search(script_content):
        script_content = pattern.sub(lambda m: f"'{m.group(1)}{m.group(2)}'",
                                      script_content)
    # Pattern: "str1" + "str2"
    pattern = re.compile(r'"([^"]*)"\s*\+\s*"([^"]*)"')
    while pattern.search(script_content):
        script_content = pattern.sub(lambda m: f'"{m.group(1)}{m.group(2)}"',
                                      script_content)
    return script_content

if __name__ == "__main__":
    if len(sys.argv) < 2:
        print(f"Usage: {sys.argv[0]} <powershell_script>")
        sys.exit(1)

    with open(sys.argv[1], 'r', errors='replace') as f:
        content = f.read()

    print("[+] Obfuscation Analysis")
    print("=" * 60)
    techniques = analyze_obfuscation(content)
    for t in techniques:
        print(f"  - {t}")

    # Attempt automatic deobfuscation
    print("\n[+] Attempting Deobfuscation")
    print("=" * 60)

    # Layer 1: Remove tick marks
    deobfuscated = remove_tick_marks(content)

    # Layer 2: Resolve string concatenation
    deobfuscated = resolve_string_concat(deobfuscated)

    # Layer 3: Decode Base64
    b64_decoded = decode_base64_command(deobfuscated)
    if b64_decoded:
        print("[+] Base64 decoded content:")
        print(b64_decoded[:2000])
        deobfuscated = b64_decoded

    print(f"\n[+] Deobfuscated script length: {len(deobfuscated)} chars")
    output_file = sys.argv[1] + ".deobfuscated.ps1"
    with open(output_file, 'w') as f:
        f.write(deobfuscated)
    print(f"[+] Saved to {output_file}")

Step 2: Multi-Layer IEX Replacement

import subprocess
import tempfile
import os

def iex_replacement_deobfuscate(script_content, max_layers=10):
    """Iteratively replace IEX with Write-Output to unwrap layers."""
    # IEX replacement patterns
    replacements = [
        (r'\bInvoke-Expression\b', 'Write-Output'),
        (r'\bIEX\b', 'Write-Output'),
        (r'\|\s*IEX\b', '| Write-Output'),
    ]

    current = script_content
    layers = []

    for layer_num in range(max_layers):
        # Apply IEX replacements
        modified = current
        for pattern, replacement in replacements:
            modified = re.sub(pattern, replacement, modified, flags=re.IGNORECASE)

        if modified == current and layer_num > 0:
            print(f"  [+] No more IEX layers found at layer {layer_num}")
            break

        # Write to temp file and execute in constrained PowerShell
        with tempfile.NamedTemporaryFile(mode='w', suffix='.ps1',
                                          delete=False) as tmp:
            tmp.write(modified)
            tmp_path = tmp.name

        try:
            result = subprocess.run(
                ['powershell', '-NoProfile', '-ExecutionPolicy', 'Bypass',
                 '-File', tmp_path],
                capture_output=True, text=True, timeout=30
            )

            output = result.stdout.strip()
            if output and output != current:
                print(f"  [+] Layer {layer_num + 1}: Unwrapped "
                      f"{len(output)} chars")
                layers.append({
                    "layer": layer_num + 1,
                    "technique": "IEX replacement",
                    "content_length": len(output),
                })
                current = output
            else:
                break

        except subprocess.TimeoutExpired:
            print(f"  [!] Layer {layer_num + 1}: Execution timeout")
            break
        finally:
            os.unlink(tmp_path)

    return current, layers

Step 3: Extract IOCs from Deobfuscated Script

def extract_iocs_from_script(deobfuscated_content):
    """Extract indicators of compromise from deobfuscated PowerShell."""
    iocs = {
        "urls": [],
        "ips": [],
        "domains": [],
        "file_paths": [],
        "registry_keys": [],
        "commands": [],
        "base64_blobs": [],
    }

    # URLs
    url_pattern = re.compile(
        r'https?://[^\s\'"<>)\]]+', re.IGNORECASE
    )
    iocs["urls"] = list(set(url_pattern.findall(deobfuscated_content)))

    # IP addresses
    ip_pattern = re.compile(
        r'\b(?:\d{1,3}\.){3}\d{1,3}\b'
    )
    iocs["ips"] = list(set(ip_pattern.findall(deobfuscated_content)))

    # File paths
    path_pattern = re.compile(
        r'[A-Za-z]:\\[^\s\'"<>|]+|'
        r'\\\\[^\s\'"<>|]+|'
        r'%(?:APPDATA|TEMP|USERPROFILE|PROGRAMFILES)%[^\s\'"<>|]*',
        re.IGNORECASE
    )
    iocs["file_paths"] = list(set(path_pattern.findall(deobfuscated_content)))

    # Registry keys
    reg_pattern = re.compile(
        r'(?:HKLM|HKCU|HKCR|HKU|HKCC)(?:\\[^\s\'"<>|]+)+',
        re.IGNORECASE
    )
    iocs["registry_keys"] = list(set(reg_pattern.findall(deobfuscated_content)))

    # Suspicious commands
    suspicious_cmds = [
        'New-Object Net.WebClient',
        'DownloadString', 'DownloadFile', 'DownloadData',
        'Start-Process', 'Invoke-WebRequest',
        'New-Object IO.MemoryStream',
        'Reflection.Assembly',
        'Add-MpPreference -ExclusionPath',
        'Set-MpPreference -DisableRealtimeMonitoring',
        'New-ScheduledTask', 'Register-ScheduledTask',
    ]
    for cmd in suspicious_cmds:
        if cmd.lower() in deobfuscated_content.lower():
            iocs["commands"].append(cmd)

    return iocs

Validation Criteria

  • All obfuscation layers identified and classified correctly
  • Base64 encoded commands decoded to readable PowerShell
  • Tick-mark and string concatenation obfuscation resolved
  • IEX replacement reveals next-stage payloads
  • URLs, IPs, and file paths extracted from final deobfuscated stage
  • Deobfuscated script matches observed malware behavior in sandbox

References

平台分布

Codex

32.09%
按下载量换算69

Claude

30.55%
按下载量换算65

Cursor

19.7%
按下载量换算42

Gemini CLI

9.29%
按下载量换算20

安全审计

Gen Agent Trust Hub

未通过

Socket

可疑

Snyk

可疑

权限和风险

接触敏感数据

该 Skill 可能接触密钥、Token、环境变量或敏感配置,应进入高风险复核队列,默认不自动发布。

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。来源安全扫描存在提醒或未通过项,安装前请自行复核。目前只有一个公开来源,建议同时核对源仓库。

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