hunting-for-lateral-movement-via-wmi

Detect WMI-based lateral movement by analyzing Windows Event ID 4688 process creation and Sysmon Event ID 1 for WmiPrvSE.exe child process patterns, remote process execution, and WMI event subscription persistence.

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Claude CodeCursorClineWindsurfCodexGooseGitHub CopilotZed

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Install Skill

Run in your terminal

$npx skills install mukul975/Anthropic-Cybersecurity-Skills/hunting-for-lateral-movement-via-wmi

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Installation Guide

How to use hunting-for-lateral-movement-via-wmi on Cursor

AI-first code editor with Composer

1

Prerequisites

Before installing skills in Cursor, ensure your development environment meets these requirements:

  • Cursor installed and configured on your machine
  • Node.js 16+ with npm — verify with node --version
  • Active project directory where you want to add hunting-for-lateral-movement-via-wmi
2

Run the install command

Execute the skills CLI command in your project's root directory to begin installation:

$npx skills install mukul975/Anthropic-Cybersecurity-Skills/hunting-for-lateral-movement-via-wmi

Fetches hunting-for-lateral-movement-via-wmi from mukul975/Anthropic-Cybersecurity-Skills and configures it for Cursor.

3

Select Cursor when prompted

The CLI shows a list of agents. Use arrow keys and space to select Cursor:

◆ Which agents do you want to install to?
│ ── Universal (.agents/skills) ────────────────
│ · Cline · Codex · Goose · Windsurf
│ ●Cursor(selected)
│ · Cursor · Aider · Continue
4

Verify installation

Confirm successful installation by checking the skill directory location:

.cursor/skills/hunting-for-lateral-movement-via-wmi

Restart Cursor to activate hunting-for-lateral-movement-via-wmi. Access via /hunting-for-lateral-movement-via-wmi in your agent's command palette.

Security Notice

We perform automated surface-level scans (Gen AI Scanner, Socket, Snyk) during installation. These checks detect common vulnerabilities but do not guarantee complete security. Always review skill source code and verify the publisher's reputation before production use.

Skills execute code in your environment. Always review source, verify the publisher, and test in isolation before production.

Documentation

name
hunting-for-lateral-movement-via-wmi
description
Detect WMI-based lateral movement by analyzing Windows Event ID 4688 process creation and Sysmon Event ID 1 for WmiPrvSE.exe child process patterns, remote process execution, and WMI event subscription persistence.
domain
cybersecurity
subdomain
threat-hunting
tags
- threat-hunting - lateral-movement - wmi - sysmon - mitre-attack - process-creation
version
'1.0'
author
mahipal
license
Apache-2.0
nist_csf
- DE.CM-01 - DE.AE-02 - DE.AE-07 - ID.RA-05

Hunting for Lateral Movement via WMI

Overview

Windows Management Instrumentation (WMI) is commonly abused for lateral movement via wmic process call create or Win32_Process.Create() to execute commands on remote hosts. Detection focuses on identifying WmiPrvSE.exe spawning child processes (cmd.exe, powershell.exe) in Windows Security Event ID 4688 and Sysmon Event ID 1 logs, along with WMI-Activity/Operational events (5857, 5860, 5861) for event subscription persistence.

When to Use

  • When investigating security incidents that require hunting for lateral movement via wmi
  • 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

  • Windows Security Event Logs with Process Creation auditing enabled (Event 4688 with command line)
  • Sysmon installed with Event ID 1 (Process Creation) configured
  • Python 3.9+ with python-evtx, lxml libraries
  • Understanding of WMI architecture and WmiPrvSE.exe behavior

Steps

Step 1: Parse Process Creation Events

Extract Event ID 4688 and Sysmon Event 1 entries from EVTX files.

Step 2: Detect WmiPrvSE Child Processes

Flag processes where ParentImage/ParentProcessName is WmiPrvSE.exe, indicating remote WMI execution.

Step 3: Analyze Command Line Patterns

Identify suspicious command lines matching WMI lateral movement patterns (cmd.exe /q /c, output redirection to admin$ share).

Step 4: Check WMI Event Subscriptions

Parse WMI-Activity/Operational log for event consumer creation indicating persistence.

Expected Output

JSON report with WMI-spawned processes, suspicious command lines, WMI event subscription alerts, and timeline of lateral movement activity.

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Use Cases

Task Automation & Efficiency

Automate repetitive workflows and reduce manual effort

Example

Generate reports, summarize documents, draft communications

Save 3-5 hours per week on routine tasks

Knowledge Enhancement

Learn new skills, understand complex topics, get expert guidance

Example

Explain concepts, provide examples, suggest learning resources

Accelerate learning and skill development by 2x

Quality Improvement

Enhance output quality through reviews, suggestions, and refinements

Example

Review drafts, suggest improvements, catch errors

Improve work quality by 30-40% with less effort

Implementation Guide

Prerequisites

  • Claude Desktop or compatible AI client with skill support
  • Clear understanding of task or problem to solve
  • Willingness to iterate and refine outputs

Time Estimate

15-45 minutes depending on use case complexity

Steps

  1. 1Install skill using provided installation command
  2. 2Test with simple use case relevant to your work
  3. 3Evaluate output quality and relevance
  4. 4Iterate on prompts to improve results
  5. 5Integrate into regular workflow if valuable

Common Pitfalls

  • Expecting perfect results without iteration
  • Not providing enough context in prompts
  • Using skill for tasks outside its intended scope
  • Accepting outputs without review and validation

Best Practices

✓ Do

  • +Start with clear, specific prompts
  • +Provide relevant context and constraints
  • +Review and refine all outputs before using
  • +Iterate to improve output quality
  • +Document successful prompt patterns

✗ Don't

  • Don't use without understanding skill limitations
  • Don't skip validation of outputs
  • Don't share sensitive information in prompts
  • Don't expect skill to replace human judgment

💡 Pro Tips

  • Be specific about desired format and style
  • Ask for multiple options to choose from
  • Request explanations to understand reasoning
  • Combine AI efficiency with human expertise

When to Use This

✓ Use when

Use when skill capabilities match your task, clear ROI on time saved, and you can validate outputs. Best for repetitive tasks, learning, and quality improvement.

✗ Avoid when

Avoid when task requires deep expertise you can't validate, involves sensitive decisions, or when learning process is more valuable than speed of completion.

Learning Path

  1. 1Familiarize yourself with skill capabilities and limitations
  2. 2Start with low-risk, non-critical tasks
  3. 3Progress to more complex and valuable use cases
  4. 4Build expertise through regular use and experimentation

Related Skills

Reviews

4.531 reviews
  • L
    Liam GuptaDec 20, 2024

    Solid pick for teams standardizing on skills: hunting-for-lateral-movement-via-wmi is focused, and the summary matches what you get after install.

  • A
    Aisha NasserDec 12, 2024

    hunting-for-lateral-movement-via-wmi reduced setup friction for our internal harness; good balance of opinion and flexibility.

  • P
    Pratham WareDec 8, 2024

    I recommend hunting-for-lateral-movement-via-wmi for anyone iterating fast on agent tooling; clear intent and a small, reviewable surface area.

  • Y
    Yash ThakkerNov 27, 2024

    Useful defaults in hunting-for-lateral-movement-via-wmi — fewer surprises than typical one-off scripts, and it plays nicely with `npx skills` flows.

  • T
    Tariq ShahNov 11, 2024

    hunting-for-lateral-movement-via-wmi has been reliable in day-to-day use. Documentation quality is above average for community skills.

  • C
    Chinedu HaddadNov 7, 2024

    hunting-for-lateral-movement-via-wmi fits our agent workflows well — practical, well scoped, and easy to wire into existing repos.

  • C
    Chinedu LopezOct 26, 2024

    Registry listing for hunting-for-lateral-movement-via-wmi matched our evaluation — installs cleanly and behaves as described in the markdown.

  • D
    Dhruvi JainOct 18, 2024

    hunting-for-lateral-movement-via-wmi is among the better-maintained entries we tried; worth keeping pinned for repeat workflows.

  • O
    Olivia GuptaOct 2, 2024

    Keeps context tight: hunting-for-lateral-movement-via-wmi is the kind of skill you can hand to a new teammate without a long onboarding doc.

  • N
    Nia SmithSep 9, 2024

    hunting-for-lateral-movement-via-wmi is among the better-maintained entries we tried; worth keeping pinned for repeat workflows.

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