Deploying Active Directory Honeytokens

Deploying Active Directory Honeytokens

Overview

Cybersecurity skill for deploying active directory honeytokens. Follows industry best practices and security standards.

When to Use

Trigger phrases:

• "deploying active directory honeytokens"

• "When deploying deception-based detection in Active Directory environments"

• "When detecting Kerberoasting attacks via fake SPN honeytokens (honeyroasting)"

• "When creating tripwire accounts to detect credential theft and lateral movement"

• When deploying deception-based detection in Active Directory environments

• When detecting Kerberoasting attacks via fake SPN honeytokens (honeyroasting)

• When creating tripwire accounts to detect credential theft and lateral movement

• When building decoy GPOs to detect Group Policy Preference password harvesting

• When creating deceptive BloodHound paths to misdirect and detect attackers

• When supplementing existing AD monitoring with high-fidelity detection signals

When NOT to Use

• When you lack proper authorization for testing
• For production systems without change management
• When the task requires legal or compliance expertise beyond technical scope

Prerequisites

• Domain Admin or delegated AD administration privileges
• Active Directory domain (Windows Server 2016+ recommended)
• Windows Event Log forwarding to SIEM (Splunk, Sentinel, Elastic)
• PowerShell 5.1+ with ActiveDirectory module
• Group Policy Management Console (GPMC)
• Understanding of AD security, Kerberos, and BloodHound attack paths

Workflow

# Example: IOC detection
import re

IOC_PATTERNS = {
    "ip": r"\b(?:\d{1,3}\.){3}\d{1,3}\b",
    "domain": r"\b[a-z0-9-]+\.[a-z]{2,}\b",
    "hash_md5": r"\b[a-f0-9]{32}\b",
    "hash_sha256": r"\b[a-f0-9]{64}\b",
}

def extract_iocs(text: str) -> dict:
    return {k: re.findall(v, text) for k, v in IOC_PATTERNS.items()}

1. Define Objectives — Clarify the goals and scope for active directory honeytokens.
2. Gather Resources — Collect tools, data, and access needed for active directory honeytokens.
3. Execute Process — Carry out active directory honeytokens operations methodically.
4. Verify Quality — Check results against acceptance criteria.
5. Document Outcomes — Record findings, decisions, and next steps.

Tools

• Analysis Platform — Data processing and visualization
• Collaboration Tools — Team coordination and knowledge sharing

Process

1. Design — Define interface, identify patterns, plan implementation
2. Implement — Write code following existing conventions, add tests
3. Verify — Run tests, check integration, validate behavior

Verification

• All active directory honeytokens procedures executed completely and documented
• Findings validated against multiple data sources
• False positives identified and filtered
• Results documented with evidence and timestamps
• Recommendations provided with risk-based prioritization

Anti-Rationalization Table