What it does. Discovers and inventories privileged accounts across enterprise infrastructure, Part of mukul975/Anthropic-Cybersecurity-Skills (817 security skills) (mukul975/Anthropic-Cybersecurity-Skills).

Install

• npx skills add mukul975/Anthropic-Cybersecurity-Skills --skill performing-privileged-account-discovery, or copy the skill folder into ~/.claude/skills/performing-privileged-account-discovery/.
• Raw file: curl -sL https://raw.githubusercontent.com/mukul975/Anthropic-Cybersecurity-Skills/HEAD/skills/performing-privileged-account-discovery/SKILL.md

SKILL.md (verbatim)

name: performing-privileged-account-discovery
description: Discovers and inventories privileged accounts across enterprise infrastructure,
  including domain admins, local admins, service accounts, database admins, cloud
  IAM roles, and application admin accounts, using automated scanning and risk classification.
  Use when building a privileged account inventory, onboarding accounts to a PAM
  solution, or scoping which accounts need privileged-access controls.
domain: cybersecurity
subdomain: identity-access-management
tags:
- iam
- identity
- access-control
- privileged-access
- discovery
- inventory
version: '1.0'
author: mahipal
license: Apache-2.0
nist_csf:
- PR.AA-01
- PR.AA-02
- PR.AA-05
- PR.AA-06
mitre_attack:
- T1078
- T1110
- T1556
- T1098
- T1078.004

Performing Privileged Account Discovery

Overview

Discover and inventory all privileged accounts across enterprise infrastructure including domain admins, local admins, service accounts, database admins, cloud IAM roles, and application admin accounts. Covers automated scanning, risk classification, and onboarding to PAM.

When to Use

• When conducting security assessments that involve performing privileged account discovery
• 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

• Familiarity with identity access management concepts and tools
• Access to a test or lab environment for safe execution
• Python 3.8+ with required dependencies installed
• Appropriate authorization for any testing activities

Objectives

• Implement comprehensive performing privileged account discovery capability
• Establish automated discovery and monitoring processes
• Integrate with enterprise IAM and security tools
• Generate compliance-ready documentation and reports
• Align with NIST 800-53 access control requirements

Security Controls

Verification

• Implementation tested in non-production environment
• Security policies configured and enforced
• Audit logging enabled and forwarding to SIEM
• Documentation and runbooks complete
• Compliance evidence generated

Other files in this skill

• LICENSE
• references/api-reference.md
• scripts/agent.py

references/api-reference.md (verbatim)

Privileged Account Discovery — API Reference

ldap3 Library

Python LDAP client used for querying Active Directory.

Connection Setup

from ldap3 import Server, Connection, ALL, SUBTREE
server = Server("ldaps://dc.example.com", get_info=ALL, use_ssl=True)
conn = Connection(server, user="DOMAIN\user", password="pass", auto_bind=True)

Key Search Filters

LDAP Matching Rules (OIDs)

• 1.2.840.113556.1.4.1941 — LDAP_MATCHING_RULE_IN_CHAIN (recursive group membership)
• 1.2.840.113556.1.4.803 — LDAP_MATCHING_RULE_BIT_AND (bitwise AND for UAC flags)

UserAccountControl Flags

Default Privileged Groups

Domain Admins, Enterprise Admins, Schema Admins, Administrators, Account Operators, Backup Operators, Server Operators, Print Operators, DnsAdmins.

Output Schema

{
  "report": "privileged_account_discovery",
  "domain": "DC=example,DC=com",
  "privileged_groups": [{"group": "Domain Admins", "member_count": 5, "members": []}],
  "service_accounts": [{"username": "svc_sql", "spns": ["MSSQLSvc/db01:1433"]}],
  "admin_count_users": ["oldadmin", "testuser"]
}

CLI Usage

python agent.py --server ldaps://dc.example.com --username "DOMAIN\analyst" --password "pass" --output report.json

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