detecting-credential-dumping-techniques

mukul975/Anthropic-Cybersecurity-Skills · updated May 25, 2026

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$npx skills install mukul975/Anthropic-Cybersecurity-Skills/detecting-credential-dumping-techniques
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summary

Detect LSASS credential dumping, SAM database extraction, and NTDS.dit theft using Sysmon Event ID 10, Windows Security logs, and SIEM correlation rules

skill.md
name
detecting-credential-dumping-techniques
description
Detect LSASS credential dumping, SAM database extraction, and NTDS.dit theft using Sysmon Event ID 10, Windows Security logs, and SIEM correlation rules
domain
cybersecurity
subdomain
threat-detection
tags
- credential-dumping - lsass - mimikatz - sysmon - active-directory - windows-security - defense-evasion
version
'1.0'
author
mahipal
license
Apache-2.0
d3fend_techniques
- Token Binding - Execution Isolation - File Metadata Consistency Validation - Restore Access - Application Protocol Command Analysis
nist_csf
- DE.CM-01 - DE.AE-02 - DE.AE-06 - ID.RA-05

Detecting Credential Dumping Techniques

Overview

Credential dumping (MITRE ATT&CK T1003) is a post-exploitation technique where adversaries extract authentication credentials from OS memory, registry hives, or domain controller databases. This skill covers detection of LSASS memory access via Sysmon Event ID 10 (ProcessAccess), SAM registry hive export via reg.exe, NTDS.dit extraction via ntdsutil/vssadmin, and comsvcs.dll MiniDump abuse. Detection rules analyze GrantedAccess bitmasks, suspicious calling processes, and known tool signatures.

When to Use

  • When investigating security incidents that require detecting credential dumping techniques
  • 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

  • Sysmon v14+ deployed with ProcessAccess logging (Event ID 10) for lsass.exe
  • Windows Security audit policy enabling process creation (Event ID 4688) with command line logging
  • Splunk or Elastic SIEM ingesting Sysmon and Windows Security logs
  • Python 3.8+ for log analysis

Steps

  1. Configure Sysmon to log ProcessAccess events targeting lsass.exe
  2. Forward Sysmon Event ID 10 and Windows Event ID 4688 to SIEM
  3. Create detection rules for known GrantedAccess patterns (0x1010, 0x1FFFFF)
  4. Detect comsvcs.dll MiniDump and procdump.exe targeting LSASS PID
  5. Alert on reg.exe SAM/SECURITY/SYSTEM hive export commands
  6. Detect ntdsutil/vssadmin shadow copy creation for NTDS.dit theft
  7. Correlate detections with user/host context for risk scoring

Expected Output

JSON report containing detected credential dumping indicators with technique classification, severity ratings, process details, MITRE ATT&CK mapping, and Splunk/Elastic detection queries.

how to use detecting-credential-dumping-techniques

How to use detecting-credential-dumping-techniques 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 development machine
  • Node.js version 16.0+ with npm package manager (verify with node --version)
  • Active project directory or workspace where you want to add detecting-credential-dumping-techniques
2

Execute installation command

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

$npx skills install mukul975/Anthropic-Cybersecurity-Skills/detecting-credential-dumping-techniques

The skills CLI fetches detecting-credential-dumping-techniques from GitHub repository mukul975/Anthropic-Cybersecurity-Skills and configures it for Cursor.

3

Select Cursor when prompted

The CLI will show a list of available agents. Use arrow keys to navigate and space to select Cursor:

◆ Which agents do you want to install to?
│ ── Universal (.agents/skills) ── always included ────
│ • Amp
│ • Antigravity
│ • Cline
│ • Codex
│ ●Cursor(selected)
│ • Cursor
│ • Windsurf
4

Verify installation

Confirm successful installation by checking the skill directory location:

.cursor/skills/detecting-credential-dumping-techniques

Reload or restart Cursor to activate detecting-credential-dumping-techniques. Access the skill through slash commands (e.g., /detecting-credential-dumping-techniques) or your agent's skill management interface.

Security & Verification 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 development environment. Always verify the publisher's identity, review recent commits, and test in isolated environments before production deployment.

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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

Installation Steps

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

Discussion

Product Hunt–style comments (not star reviews)
  • No comments yet — start the thread.
general reviews

Ratings

4.563 reviews
  • Shikha Mishra· Dec 24, 2024

    Registry listing for detecting-credential-dumping-techniques matched our evaluation — installs cleanly and behaves as described in the markdown.

  • Omar White· Dec 24, 2024

    Keeps context tight: detecting-credential-dumping-techniques is the kind of skill you can hand to a new teammate without a long onboarding doc.

  • Camila Wang· Dec 24, 2024

    Registry listing for detecting-credential-dumping-techniques matched our evaluation — installs cleanly and behaves as described in the markdown.

  • Ishan Bhatia· Dec 20, 2024

    detecting-credential-dumping-techniques is among the better-maintained entries we tried; worth keeping pinned for repeat workflows.

  • Ira Ramirez· Dec 8, 2024

    detecting-credential-dumping-techniques reduced setup friction for our internal harness; good balance of opinion and flexibility.

  • Omar Iyer· Dec 4, 2024

    Useful defaults in detecting-credential-dumping-techniques — fewer surprises than typical one-off scripts, and it plays nicely with `npx skills` flows.

  • Ishan Chawla· Nov 27, 2024

    Registry listing for detecting-credential-dumping-techniques matched our evaluation — installs cleanly and behaves as described in the markdown.

  • Ira Rahman· Nov 19, 2024

    detecting-credential-dumping-techniques has been reliable in day-to-day use. Documentation quality is above average for community skills.

  • Yash Thakker· Nov 15, 2024

    detecting-credential-dumping-techniques reduced setup friction for our internal harness; good balance of opinion and flexibility.

  • Tariq Kapoor· Nov 15, 2024

    I recommend detecting-credential-dumping-techniques for anyone iterating fast on agent tooling; clear intent and a small, reviewable surface area.

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