performing-active-directory-forest-trust-attack

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

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$npx skills install mukul975/Anthropic-Cybersecurity-Skills/performing-active-directory-forest-trust-attack
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summary

Enumerate and audit Active Directory forest trust relationships using impacket for SID filtering analysis, trust key extraction, cross-forest SID history abuse detection, and inter-realm Kerberos ticket assessment.

skill.md
name
performing-active-directory-forest-trust-attack
description
Enumerate and audit Active Directory forest trust relationships using impacket for SID filtering analysis, trust key extraction, cross-forest SID history abuse detection, and inter-realm Kerberos ticket assessment.
domain
cybersecurity
subdomain
red-team
tags
- active-directory - forest-trust - impacket - SID-filtering - kerberos - red-team - trust-enumeration
version
'1.0'
author
mahipal
license
Apache-2.0
nist_csf
- ID.RA-01 - GV.OV-02 - DE.AE-07

Performing Active Directory Forest Trust Attack

Overview

Active Directory forest trusts enable authentication across organizational boundaries but introduce attack surface if misconfigured. This skill uses impacket to enumerate trust relationships, analyze SID filtering configuration, detect SID history abuse vectors, perform cross-forest SID lookups via LSA/LSAT RPC calls, and assess inter-realm Kerberos ticket configurations for trust ticket forgery risks.

When to Use

  • When conducting security assessments that involve performing active directory forest trust attack
  • When following incident response procedures for related security events
  • When performing scheduled security testing or auditing activities
  • When validating security controls through hands-on testing

Prerequisites

  • Python 3.9+ with impacket, ldap3
  • Domain credentials with read access to AD trust objects
  • Network access to Domain Controllers (ports 389, 445, 88)
  • Authorized penetration testing engagement or lab environment

Legal Notice: This skill is for authorized security testing and educational purposes only. Unauthorized use against systems you do not own or have written permission to test is illegal and may violate computer fraud laws.

Steps

  1. Enumerate forest trust relationships via LDAP trusted domain objects
  2. Query trust attributes and SID filtering status for each trust
  3. Perform SID lookups across trust boundaries using LsarLookupNames3
  4. Enumerate foreign security principals in trusted domains
  5. Check for SID history on cross-forest accounts
  6. Assess trust direction and transitivity for lateral movement paths
  7. Generate trust security audit report with risk findings

Expected Output

  • JSON report listing all trust relationships, SID filtering status, foreign principals, trust direction/transitivity, and risk assessment
  • Cross-forest attack path analysis with remediation recommendations
how to use performing-active-directory-forest-trust-attack

How to use performing-active-directory-forest-trust-attack 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 performing-active-directory-forest-trust-attack
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/performing-active-directory-forest-trust-attack

The skills CLI fetches performing-active-directory-forest-trust-attack 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/performing-active-directory-forest-trust-attack

Reload or restart Cursor to activate performing-active-directory-forest-trust-attack. Access the skill through slash commands (e.g., /performing-active-directory-forest-trust-attack) 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)
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general reviews

Ratings

4.768 reviews
  • Nikhil Reddy· Dec 24, 2024

    I recommend performing-active-directory-forest-trust-attack for anyone iterating fast on agent tooling; clear intent and a small, reviewable surface area.

  • Pratham Ware· Dec 20, 2024

    Registry listing for performing-active-directory-forest-trust-attack matched our evaluation — installs cleanly and behaves as described in the markdown.

  • Ava Diallo· Dec 8, 2024

    Useful defaults in performing-active-directory-forest-trust-attack — fewer surprises than typical one-off scripts, and it plays nicely with `npx skills` flows.

  • Michael Thompson· Dec 8, 2024

    performing-active-directory-forest-trust-attack is among the better-maintained entries we tried; worth keeping pinned for repeat workflows.

  • Benjamin Huang· Dec 4, 2024

    performing-active-directory-forest-trust-attack has been reliable in day-to-day use. Documentation quality is above average for community skills.

  • Arya Flores· Nov 27, 2024

    performing-active-directory-forest-trust-attack has been reliable in day-to-day use. Documentation quality is above average for community skills.

  • Michael Nasser· Nov 27, 2024

    Keeps context tight: performing-active-directory-forest-trust-attack is the kind of skill you can hand to a new teammate without a long onboarding doc.

  • Dev Harris· Nov 23, 2024

    Useful defaults in performing-active-directory-forest-trust-attack — fewer surprises than typical one-off scripts, and it plays nicely with `npx skills` flows.

  • Xiao Chawla· Nov 15, 2024

    performing-active-directory-forest-trust-attack fits our agent workflows well — practical, well scoped, and easy to wire into existing repos.

  • Yash Thakker· Nov 11, 2024

    performing-active-directory-forest-trust-attack reduced setup friction for our internal harness; good balance of opinion and flexibility.

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