analyzing-malware-persistence-with-autoruns skill (Anthropic-Cybersecurity-Skills)

From Public Agent Wiki

What it does. Use Sysinternals Autoruns to systematically enumerate and analyze malware Part of mukul975/Anthropic-Cybersecurity-Skills (817 security skills) (mukul975/Anthropic-Cybersecurity-Skills).

Upstream mukul975/Anthropic-Cybersecurity-Skills
Skill file skills/analyzing-malware-persistence-with-autoruns/SKILL.md
License Apache-2.0 (skill folder LICENSE)
Author mukul975
Fetched 2026-09-10

Install

  • npx skills add mukul975/Anthropic-Cybersecurity-Skills --skill analyzing-malware-persistence-with-autoruns, or copy the skill folder into ~/.claude/skills/analyzing-malware-persistence-with-autoruns/.
  • Raw file: curl -sL https://raw.githubusercontent.com/mukul975/Anthropic-Cybersecurity-Skills/HEAD/skills/analyzing-malware-persistence-with-autoruns/SKILL.md

SKILL.md (verbatim)

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)
    return parse_and_flag(csv_path)


def parse_and_flag(csv_path):
    suspicious = []
    with open(csv_path, 'r', errors='replace') as f:
        for row in csv.DictReader(f):
            reasons = []
            signer = row.get("Signer", "")
            if not signer or signer == "(Not verified)":
                reasons.append("Unsigned binary")
            if not row.get("Description") and not row.get("Company"):
                reasons.append("Missing metadata")
            path = row.get("Image Path", "").lower()
            for sp in ["\temp\\", "\appdata\local\temp", "\users\public\\"]:
                if sp in path:
                    reasons.append(f"Suspicious path")
            launch = row.get("Launch String", "").lower()
            for kw in ["powershell", "cmd /c", "wscript", "mshta", "regsvr32"]:
                if kw in launch:
                    reasons.append(f"LOLBin: {kw}")
            if reasons:
                row["reasons"] = reasons
                suspicious.append(row)
    return suspicious


if __name__ == "__main__":
    if len(sys.argv) > 1:
        results = parse_and_flag(sys.argv[1])
        print(f"[!] {len(results)} suspicious entries")
        for r in results:
            print(f"  {r.get('Entry','')} - {r.get('Image Path','')}")
            for reason in r.get('reasons', []):
                print(f"    - {reason}")

Validation Criteria

  • All ASEP categories scanned and cataloged
  • Unsigned entries flagged for investigation
  • Suspicious paths and LOLBin launch strings highlighted
  • Baseline comparison identifies new persistence mechanisms

References

Other files in this skill

assets/template.md (verbatim)

Analysis Report Template - analyzing-malware-persistence-with-autoruns

Sample Information

Field Value
SHA-256
File Type
Analysis Date
Analyst
Classification TLP:AMBER

Findings

Finding Severity Details

IOCs Extracted

Type Value Context

Recommendations

references/api-reference.md (verbatim)

API Reference: Autoruns Persistence Analysis

Autoruns CLI (autorunsc.exe)

autorunsc.exe -a * -c -h -s -v -vt -o autoruns.csv
Flag Description
-a * All autostart categories
-c CSV output
-h Show file hashes
-s Verify digital signatures
-v Verify signatures against catalog
-vt Check VirusTotal
-o Output file

CSV Columns

Column Description
Time Entry timestamp
Entry Location Registry key or path
Entry Entry name
Enabled enabled/disabled
Category Autoruns category
Description File description
Company Publisher name
Image Path Full binary path
Launch String Complete command line
MD5 / SHA-1 / SHA-256 File hashes
Signer Code signing status
VT detection VirusTotal ratio (e.g., "5/72")

Autostart Categories

Category Examples
Logon Run/RunOnce keys, Startup folder
Services Windows services
Drivers Kernel drivers
Scheduled Tasks Task Scheduler entries
Winlogon Shell, Userinit, Notify
WMI Event subscriptions
AppInit AppInit_DLLs
Boot Execute BootExecute values
Image Hijacks IFEO debugger entries
LSA Providers Authentication packages

Suspicious Indicators

Indicator Significance
VT detection > 0 Known malware
Unsigned binary Potential unsigned malware
LOLBin in launch string Living-off-the-land
Path in %TEMP% or %PUBLIC% Staging location
Missing company info Suspicious unsigned entry

MITRE ATT&CK Persistence

  • T1547.001 - Registry Run Keys / Startup Folder
  • T1053.005 - Scheduled Task
  • T1543.003 - Windows Service
  • T1546.003 - WMI Event Subscription

references/standards.md (verbatim)

Standards Reference - analyzing-malware-persistence-with-autoruns

Applicable Standards

  • MITRE ATT&CK Framework
  • NIST SP 800-83 Guide to Malware Incident Prevention
  • NIST SP 800-86 Guide to Integrating Forensic Techniques

See SKILL.md for specific technique mappings.

references/workflows.md (verbatim)

Analysis Workflows - analyzing-malware-persistence-with-autoruns

Primary Workflow

[Sample Collection] --> [Static Analysis] --> [Dynamic Analysis] --> [IOC Extraction]
                                                                          |
                                                                          v
                                                                 [Report Generation]

See SKILL.md for detailed step-by-step procedures.

Back to mukul975/Anthropic-Cybersecurity-Skills (817 security skills) or Agent skills.