analyzing-malware-persistence-with-autoruns

Analyze Windows Autoruns CSV exports to detect malware persistence across startup locations.

Updated Aug 23, 2026
One-click install
npx skills add https://github.com/Axxxxxxaaann/KAIRI-Skills --skill analyzing-malware-persistence-with-autoruns
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: analyzing-malware-persistence-with-autoruns
Source: https://github.com/Axxxxxxaaann/KAIRI-Skills/tree/main/skills/analyzing-malware-persistence-with-autoruns
Command: npx skills add https://github.com/Axxxxxxaaann/KAIRI-Skills --skill analyzing-malware-persistence-with-autoruns

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes scripts (resource) and references (resource) and assets (resource) components.

What problem does it solve?

It helps security teams identify and analyze malware persistence mechanisms that are configured to auto-start on Windows, enabling faster containment and remediation.

Core Features & Use Cases

  • Automated parsing of Autoruns CSV exports to surface persistence patterns
  • Detect unsigned binaries, missing publisher data, suspicious paths, and LOLBin usage
  • Use in incident response, threat hunting, and SOC workflows to map persistence techniques to MITRE ATT&CK techniques

Quick Start

Analyze an Autoruns CSV export from a Windows host to surface persistence indicators and suspicious startup entries.

Frequently Asked Questions about analyzing-malware-persistence-with-autoruns

High-intent search queries and answers about installing and using this skill.

FAQPage Schema
How do I detect malware persistence mechanisms from a Windows Autoruns CSV export?

Detect malware persistence by parsing the Autoruns CSV export to identify unsigned binaries, missing publisher data, suspicious file paths, and LOLBin usage across registry Run keys, services, and scheduled tasks using baseline comparisons and signature checks.

What Windows startup locations are checked during Autoruns threat hunting?

Autoruns threat hunting checks Windows startup locations including registry Run keys, services, scheduled tasks, and various autostart entry points (ASEPs) to surface suspicious persistence indicators and map them to MITRE ATT&CK techniques.

Can I use Autoruns data for incident response and SOC workflows?

Yes, you can use Autoruns data for incident response and SOC workflows to map malware persistence techniques, apply path and origin heuristics, and examine VirusTotal results to flag suspicious startup entries for faster containment and remediation.

Does analyzing malware persistence require a VirusTotal configuration?

Analyzing malware persistence uses VirusTotal results to examine signatures and flag suspicious entries, requiring a configured Python analysis tool and an Autoruns CSV export to process baseline comparisons and publisher data effectively.

What is the best way to map suspicious Autoruns entries to MITRE ATT&CK techniques?

The best way to map suspicious Autoruns entries to MITRE ATT&CK techniques is by analyzing persistence patterns across ASEPs, detecting LOLBin usage, and applying signature checks alongside baseline comparisons to identify the specific autostart mechanism.

Why are baseline comparisons needed when analyzing malware persistence with Autoruns?

Baseline comparisons are needed when analyzing malware persistence with Autoruns to differentiate legitimate startup entries from malicious ones, allowing the detection of unsigned binaries and suspicious paths that deviate from the expected system state.