external/anthropic-cybersecurity-skills/skills/deobfuscating-powershell-obfuscated-malware/SKILL.md
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.
npx skillsauth add seikaikyo/dash-skills deobfuscating-powershell-obfuscated-malwareInstall this skill globally with one command. Works with Claude Code, Cursor, and Windsurf.
3 of 9 scanners reported clean
Some scanners were skipped, did not run, or reported a non-clean status. Review each row below.
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.
base64, re, subprocess modulesInstall-Module PSDecode)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.
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.
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.
#!/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}")
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
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
tools
Conduct comprehensive GDPR compliance assessments by evaluating data processing activities against EU Regulation 2016/679, including Article 30 records of processing, lawful basis validation, data subject rights implementation, Data Protection Impact Assessments (DPIAs) under Article 35, breach notification procedures, international transfer safeguards (SCCs, adequacy decisions), and technical/organizational measures under Article 32. Use when processing personal data of EU residents, preparing for supervisory authority audits, implementing privacy-by-design for new systems, scoping compliance gaps for M&A due diligence, assessing third-party processors, or responding to data subject access requests at scale. Incorporates 2026 guidance from ICO, EDPB, and post-Data (Use and Access) Act 2025 UK-GDPR considerations. Do not use for implementing specific Article 32 controls — use implementing-gdpr-data-protection-controls; or for DSAR automation — use implementing-gdpr-data-subject-access-request.
tools
Parse Windows forensic artifacts—$MFT/$J (MFTECmd), Prefetch (PECmd), registry hives (RECmd), shellbags, and Amcache—into normalized CSV/JSON with Eric Zimmerman's EZ Tools, then load results into Timeline Explorer for analysis. Use during DFIR/incident-response investigations, after triage collection (e.g. with KAPE), to establish program execution, file/folder access, and persistence evidence from acquired forensic images.
development
Build automated multi-turn adversarial attacks against conversational LLM targets using Microsoft PyRIT's RedTeamingOrchestrator, CrescendoOrchestrator (gradual escalation), and TreeOfAttacksWithPruningOrchestrator (adaptive branching), with scorer feedback loops and persisted conversation memory. Use when single-shot LLM scanning is insufficient and you need multi-turn, scorer-driven AI red-team campaigns against a chatbot or agent.
testing
Stand up MISP, enable and cache curated threat feeds (CIRCL, abuse.ch, Feodo Tracker), apply warninglists to suppress false positives, query indicators with PyMISP, and export attributes as auto-generated Suricata/Sigma/Wazuh detection rules. Use when maturing a MISP instance to actively drive detection, curating threat feeds with quality controls, or automating IOC-to-detection pipelines for the SIEM/IDS.