Skip to content
cccskills
FreePublished on GitHub

deobfuscating-powershell-obfuscated-malware

Unwrap layers of obfuscated PowerShell malware to recover hidden commands, additional malicious code, and server addresses. Combines script structure analysis with execution tracing and decoding tools to support incident investigation and detection work.

OriginalShow the original description

Systematically deobfuscates multi-layer PowerShell malware using AST analysis, dynamic tracing, and tools like PSDecode and PowerDecode to reveal hidden payloads and C2 infrastructure. Use during incident response or malware analysis when a PowerShell script is obfuscated with encoding, string manipulation, or invocation tricks and you need to recover the underlying commands, dropped payloads, or C2 endpoints.

See how to install

Good for

  • Investigating an obfuscated PowerShell script
  • Recovering hidden commands and additional malicious code
  • Extracting suspicious URLs, IP addresses, and file paths
  • Identifying multiple layers of script obfuscation

Files included (8)

  • SKILL.md13.9 KB
  • assets/template.md1.3 KB
  • LICENSE11.0 KB
  • references/api-reference.md1.4 KB
  • references/standards.md1.9 KB
  • references/workflows.md2.3 KB
  • scripts/agent.py5.1 KB
  • scripts/process.py10.7 KB

SKILL.md (original)

Review the instructions the agent will receive before you install.

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

Reviews

No reviews yet. Tell others what you thought.

Comments

No login needed. Share how it worked for you, ask a question, or note where it did not run.

No comments yet. Be the first to write one.

Comments are published right away. Do not include personal information such as email addresses or phone numbers. Up to 2 URLs.

0 / 1,000 characters

This form is protected by reCAPTCHA, and the Google Privacy Policy and Terms of Service apply.

More skills from this repository

Assess exposure of Windows secrets protected by DPAPI, the operating system’s data protection service, during authorized security tests. Guide examination and decryption of saved credentials and browser data using available user sessions, credentials, or backup keys.

  • Assessing saved credential exposure in authorized tests
  • Examining collected DPAPI files offline
  • Reviewing protected browser and RDP credentials
mukul975/Anthropic-Cybersecurity-Skills34.7KUpdated Aug 31, 2026

Assess Shadow Credentials account takeover during authorized Active Directory testing. Examine permissions that allow public key registration, validate authentication without a password reset, and document credential cleanup, detection opportunities, and access control changes needed for remediation.

  • Assessing risky permissions identified in BloodHound
  • Validating account takeover without resetting a password
  • Generating directory change records during security exercises
mukul975/Anthropic-Cybersecurity-Skills34.7KUpdated Aug 31, 2026

Prepare for CMMC Level 2, a cybersecurity certification for defense contractors. Define the systems handling controlled information, review security requirements, calculate the SPRS assessment score, and organize remediation plans and evidence into a readiness report.

  • Define the assessment scope for systems handling controlled information
  • Calculate an SPRS score and prioritize unmet security requirements
  • Prepare security plans, remediation milestones, and assessment evidence
mukul975/Anthropic-Cybersecurity-Skills34.7KUpdated Aug 31, 2026

Create disk images for investigations using dd or dcfldd on Linux. The workflow covers write protection, bit-for-bit copying, hash checks to verify integrity, and documentation of the acquisition process.

  • Preserving a suspect drive before investigation
  • Creating evidence copies of USB devices or memory cards
  • Verifying that a disk image matches its source
mukul975/Anthropic-Cybersecurity-Skills34.7KUpdated Aug 31, 2026

Review Active Directory permissions with ldap3, a Python library for directory queries. Identify excessive access granted to non-administrative accounts, explain potential privilege escalation paths, and produce a JSON report with affected objects and remediation recommendations.

  • Auditing excessive Active Directory permissions
  • Investigating privilege escalation paths from ordinary accounts
  • Reporting affected objects and permission remediation recommendations
mukul975/Anthropic-Cybersecurity-Skills34.7KUpdated Aug 31, 2026

Inspect suspicious Android APK files without running them. Analyze permissions, app components, suspicious code patterns, and network indicators, then produce a JSON risk report to support malware triage and detection rule development.

  • Triage suspicious APK files without running them
  • Inspect dangerous permission combinations and suspicious API calls
  • Extract network indicators for malware detection rules
mukul975/Anthropic-Cybersecurity-Skills34.7KUpdated Aug 31, 2026

See all skills by mukul975

Report a problem with this skill