analyzing-malware-persistence-with-autoruns

name	analyzing-malware-persistence-with-autoruns
description	Use Sysinternals Autoruns to systematically enumerate and analyze malware persistence mechanisms across Windows registry run keys, scheduled tasks, services, drivers, and startup locations. Use when hunting for persistence during Windows incident response, triaging a compromised endpoint, or validating that malware autostart entries have been fully identified and removed.
domain	cybersecurity
subdomain	malware-analysis
tags	["autoruns","persistence","malware-analysis","sysinternals","windows","registry","startup","incident-response"]
mitre_attack	["T1547.001","T1543.003","T1053.005","T1574.001","T1037.001"]
version	1.0
author	mahipal
license	Apache-2.0
d3fend_techniques	["Executable Denylisting","Execution Isolation","File Metadata Consistency Validation","Content Format Conversion","File Content Analysis"]
nist_csf	["DE.AE-02","RS.AN-03","ID.RA-01","DE.CM-01"]

Analyzing Malware Persistence with Autoruns

Overview

Sysinternals Autoruns extracts data from hundreds of Auto-Start Extensibility Points (ASEPs) on Windows, scanning 18+ categories including Run/RunOnce keys, services, scheduled tasks, drivers, Winlogon entries, LSA providers, print monitors, WMI subscriptions, and AppInit DLLs. Digital signature verification filters Microsoft-signed entries. The compare function identifies newly added persistence via baseline diffing. VirusTotal integration checks hash reputation. Offline analysis via -z flag enables forensic disk image examination.

When to Use

• When investigating security incidents that require analyzing malware persistence with autoruns
• When building detection rules or threat hunting queries for this domain
• When SOC analysts need structured procedures for this analysis type
• When validating security monitoring coverage for related attack techniques

Prerequisites

• Sysinternals Autoruns (GUI) and Autorunsc (CLI)
• Administrative privileges on target system
• Python 3.9+ for automated analysis
• VirusTotal API key for reputation checks
• Clean baseline export for comparison

Workflow

Step 1: Automated Persistence Scanning

#!/usr/bin/env python3
"""Automate Autoruns-based persistence analysis."""
import subprocess
import csv
import json
import sys


def scan_and_analyze(autorunsc_path="autorunsc64.exe", csv_path="scan.csv"):
    cmd = [autorunsc_path, "-a", "*", "-c", "-h", "-s", "-nobanner", "*"]
    result = subprocess.run(cmd, capture_output=True, text=True, timeout=600)
    with open(csv_path, 'w') as f:
        f.write(result.stdout)
     parse_and_flag(csv_path)


 ():
    suspicious = []
     (csv_path, , errors=)  f:
         row  csv.DictReader(f):
            reasons = []
            signer = row.get(, )
              signer  signer == :
                reasons.append()
              row.get()   row.get():
                reasons.append()
            path = row.get(, ).lower()
             sp  [, , ]:
                 sp  path:
                    reasons.append()
            launch = row.get(, ).lower()
             kw  [, , , , ]:
                 kw  launch:
                    reasons.append()
             reasons:
                row[] = reasons
                suspicious.append(row)
     suspicious


 __name__ == :
     (sys.argv) > :
        results = parse_and_flag(sys.argv[])
        ()
         r  results:
            ()
             reason  r.get(, []):
                ()