deploying-active-directory-honeytokens▌
mukul975/Anthropic-Cybersecurity-Skills · updated May 25, 2026
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Deploys deception-based honeytokens in Active Directory including fake privileged accounts with AdminCount=1, fake SPNs for Kerberoasting detection (honeyroasting), decoy GPOs with cpassword traps, and fake BloodHound paths. Monitors Windows Security Event IDs 4769, 4625, 4662, 5136 for honeytoken interaction. Use when implementing AD deception defenses for detecting lateral movement, credential theft, and reconnaissance.
| name | deploying-active-directory-honeytokens |
| description | 'Deploys deception-based honeytokens in Active Directory including fake privileged accounts with AdminCount=1, fake SPNs for Kerberoasting detection (honeyroasting), decoy GPOs with cpassword traps, and fake BloodHound paths. Monitors Windows Security Event IDs 4769, 4625, 4662, 5136 for honeytoken interaction. Use when implementing AD deception defenses for detecting lateral movement, credential theft, and reconnaissance. ' |
| domain | cybersecurity |
| subdomain | deception-technology |
| tags | - active-directory - honeytokens - kerberoasting - deception - detection - bloodhound - gpo |
| version | '1.0' |
| author | mukul975 |
| license | Apache-2.0 |
| nist_csf | - DE.CM-01 - DE.AE-06 - PR.IR-01 |
Deploying Active Directory Honeytokens
When to Use
- 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
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
Background
Why AD Honeytokens
Traditional signature-based detection misses novel attack techniques. Honeytokens provide high-fidelity detection with near-zero false positives because any interaction with a decoy object is inherently suspicious. In Active Directory:
- Fake privileged accounts detect credential dumping (DCSync, NTDS.dit extraction)
- Fake SPNs detect Kerberoasting reconnaissance (TGS requests for nonexistent services)
- Decoy GPOs detect Group Policy Preference password harvesting
- Fake BloodHound paths mislead attackers using graph-based AD analysis
Key Detection Event IDs
| Event ID | Description | Honeytoken Use |
|---|---|---|
| 4769 | Kerberos TGS ticket requested | Detect Kerberoast against honey SPN |
| 4625 | Failed logon attempt | Detect use of fake credentials from decoy GPO |
| 4662 | Directory service object accessed | Detect DACL read on honeytoken user |
| 5136 | Directory service object modified | Detect modification of decoy GPO |
| 5137 | Directory service object created | Detect GPO creation mimicking decoy |
| 4768 | Kerberos TGT requested | Detect AS-REP roasting of honey account |
Making Honeytokens Realistic
Per Trimarc Security research, effective honeytokens must appear legitimate:
- Age the account: Repurpose old inactive accounts (10-15 year old accounts in similarly aged domains appear authentic)
- Set AdminCount=1: Flags the account as having elevated AD rights, making it an attractive Kerberoasting target
- Use realistic naming: Match organizational naming conventions (svc_sqlbackup, admin.maintenance, svc_exchange_legacy)
- Set old password date: Password age of 10+ years with an SPN looks like a high-value, neglected service account to attackers
- Add group memberships: Place in visible groups like "Remote Desktop Users" or a custom "Backup Operators" to increase attacker interest
- Avoid detection tells: Attackers check creation date vs. last logon vs. password change date for consistency
Instructions
Step 1: Deploy Fake Privileged Admin Account
Create a honeytoken account that mimics a legacy privileged service account.
# Import the deployment module
Import-Module .\scripts\Deploy-ADHoneytokens.ps1
# Create a honeytoken admin account
$honeyAdmin = New-HoneytokenAdmin `
-SamAccountName "svc_sqlbackup_legacy" `
-DisplayName "SQL Backup Service (Legacy)" `
-Description "Legacy SQL Server backup service account - DO NOT DELETE" `
-OU "OU=Service Accounts,DC=corp,DC=example,DC=com" `
-PasswordLength 128 `
-SetAdminCount $true
Write-Host "Honeytoken admin created: $($honeyAdmin.DistinguishedName)"
Step 2: Deploy Fake SPN for Kerberoasting Detection
Assign a realistic but fake SPN to the honeytoken account. Any TGS request for this SPN is definitively malicious (honeyroasting).
# Add fake SPN to honeytoken account
$honeySPN = Add-HoneytokenSPN `
-SamAccountName "svc_sqlbackup_legacy" `
-ServiceClass "MSSQLSvc" `
-Hostname "sql-legacy-bak01.corp.example.com" `
-Port 1433
Write-Host "Honey SPN registered: $($honeySPN.SPN)"
Write-Host "Monitor Event ID 4769 for TGS requests targeting this SPN"
Step 3: Deploy Decoy GPO with Credential Trap
Create a fake GPO in SYSVOL with an embedded cpassword (Group Policy Preference password). Attackers using tools like Get-GPPPassword or gpp-decrypt will find and attempt to use these credentials, triggering detection.
# Create decoy GPO with cpassword trap
$decoyGPO = New-DecoyGPO `
-GPOName "Server Maintenance Policy (Legacy)" `
-DecoyUsername "admin_maintenance" `
-DecoyDomain "CORP" `
-SYSVOLPath "\\corp.example.com\SYSVOL\corp.example.com\Policies" `
-EnableAuditSACL $true
Write-Host "Decoy GPO created: $($decoyGPO.GPOGuid)"
Write-Host "SACL audit enabled - any read attempt will generate Event ID 4663"
Step 4: Create Deceptive BloodHound Paths
Set ACL permissions that create fake attack paths visible to BloodHound/SharpHound reconnaissance, leading attackers toward monitored honeytokens.
# Create fake BloodHound attack path
$deceptivePath = New-DeceptiveBloodHoundPath `
-HoneytokenSamAccount "svc_sqlbackup_legacy" `
-TargetHighValueGroup "Domain Admins" `
-IntermediateOU "OU=Service Accounts,DC=corp,DC=example,DC=com"
Write-Host "Deceptive path created: $($deceptivePath.PathDescription)"
Step 5: Configure Detection Rules
Set up SIEM detection rules to alert on any honeytoken interaction.
# Using the Python detection agent
from agent import ADHoneytokenMonitor
monitor = ADHoneytokenMonitor(config_path="honeytoken_config.json")
# Register all honeytokens for monitoring
monitor.register_honeytoken("svc_sqlbackup_legacy", token_type="admin_account")
monitor.register_honeytoken("MSSQLSvc/sql-legacy-bak01.corp.example.com:1433", token_type="spn")
monitor.register_honeytoken("admin_maintenance", token_type="gpo_credential")
# Generate SIEM detection rules
splunk_rules = monitor.generate_detection_rules(siem="splunk")
sentinel_rules = monitor.generate_detection_rules(siem="sentinel")
sigma_rules = monitor.generate_detection_rules(siem="sigma")
for rule in sigma_rules:
print(f"Rule: {rule['title']}")
print(f" Detection: {rule['detection_logic']}")
Step 6: Validate Deployment
Test the honeytokens to ensure detection fires correctly.
# Validate honeytoken deployment
$validation = Test-HoneytokenDeployment `
-SamAccountName "svc_sqlbackup_legacy" `
-ValidateAdminCount `
-ValidateSPN `
-ValidateGPODecoy `
-ValidateAuditPolicy
$validation | Format-Table Check, Status, Details -AutoSize
Examples
Full Deployment Pipeline
Import-Module .\scripts\Deploy-ADHoneytokens.ps1
# Deploy complete honeytoken suite
$deployment = Deploy-FullHoneytokenSuite `
-Environment "Production" `
-ServiceAccountOU "OU=Service Accounts,DC=corp,DC=example,DC=com" `
-SYSVOLPath "\\corp.example.com\SYSVOL\corp.example.com\Policies" `
-TokenCount 3 `
-IncludeSPN $true `
-IncludeGPODecoy $true `
-IncludeBloodHoundPath $true `
-SIEMType "Splunk"
# Output deployment report
$deployment.Tokens | Format-Table Name, Type, SPN, DetectionRule -AutoSize
$deployment | Export-Csv "honeytoken_deployment_report.csv" -NoTypeInformation
Kerberoasting Detection Query (Splunk)
index=wineventlog EventCode=4769 ServiceName="svc_sqlbackup_legacy"
| eval alert_severity="critical"
| eval alert_type="honeytoken_kerberoast"
| table _time, src_ip, Account_Name, ServiceName, Ticket_Encryption_Type
| sort - _time
Microsoft Sentinel KQL Detection
SecurityEvent
| where EventID == 4769
| where ServiceName in ("svc_sqlbackup_legacy", "svc_exchange_legacy")
| extend AlertType = "Honeytoken Kerberoast Detected"
| project TimeGenerated, Computer, Account, ServiceName, IpAddress, TicketEncryptionType
References
- Trimarc Security - The Art of the Honeypot Account: https://www.hub.trimarcsecurity.com/post/the-art-of-the-honeypot-account-making-the-unusual-look-normal
- ADSecurity.org - Detecting Kerberoasting Activity Part 2 (Honeypot): https://adsecurity.org/?p=3513
- Microsoft Defender for Identity Honeytokens: https://techcommunity.microsoft.com/blog/microsoftthreatprotectionblog/deceptive-defense-best-practices-for-identity-based-honeytokens-in-microsoft-def/3851641
- SpecterOps - Kerberoasting and AES-256: https://specterops.io/blog/2025/10/21/is-kerberoasting-still-a-risk-when-aes-256-kerberos-encryption-is-enabled/
- APT29a Blog - Deploying Honeytokens in AD: https://apt29a.blogspot.com/2019/11/deploying-honeytokens-in-active.html
- ADSecurity.org - Detecting Kerberoasting Activity: https://adsecurity.org/?p=3458
How to use deploying-active-directory-honeytokens on Cursor
AI-first code editor with Composer
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 deploying-active-directory-honeytokens
Execute installation command
Execute the skills CLI command in your project's root directory to begin installation:
The skills CLI fetches deploying-active-directory-honeytokens from GitHub repository mukul975/Anthropic-Cybersecurity-Skills and configures it for Cursor.
Select Cursor when prompted
The CLI will show a list of available agents. Use arrow keys to navigate and space to select Cursor:
Verify installation
Confirm successful installation by checking the skill directory location:
Reload or restart Cursor to activate deploying-active-directory-honeytokens. Access the skill through slash commands (e.g., /deploying-active-directory-honeytokens) 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.Install skill using provided installation command
- 2.Test with simple use case relevant to your work
- 3.Evaluate output quality and relevance
- 4.Iterate on prompts to improve results
- 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▌
- 1Familiarize yourself with skill capabilities and limitations
- 2Start with low-risk, non-critical tasks
- 3Progress to more complex and valuable use cases
- 4Build expertise through regular use and experimentation
Discussion
Product Hunt–style comments (not star reviews)- No comments yet — start the thread.
Ratings
4.8★★★★★44 reviews- ★★★★★Yusuf Desai· Dec 28, 2024
deploying-active-directory-honeytokens fits our agent workflows well — practical, well scoped, and easy to wire into existing repos.
- ★★★★★Yusuf Khan· Dec 28, 2024
deploying-active-directory-honeytokens has been reliable in day-to-day use. Documentation quality is above average for community skills.
- ★★★★★Chaitanya Patil· Dec 24, 2024
Keeps context tight: deploying-active-directory-honeytokens is the kind of skill you can hand to a new teammate without a long onboarding doc.
- ★★★★★Lucas Verma· Dec 20, 2024
Useful defaults in deploying-active-directory-honeytokens — fewer surprises than typical one-off scripts, and it plays nicely with `npx skills` flows.
- ★★★★★Mei Malhotra· Dec 4, 2024
I recommend deploying-active-directory-honeytokens for anyone iterating fast on agent tooling; clear intent and a small, reviewable surface area.
- ★★★★★Mei Flores· Nov 23, 2024
Solid pick for teams standardizing on skills: deploying-active-directory-honeytokens is focused, and the summary matches what you get after install.
- ★★★★★Mei Torres· Nov 19, 2024
Useful defaults in deploying-active-directory-honeytokens — fewer surprises than typical one-off scripts, and it plays nicely with `npx skills` flows.
- ★★★★★Piyush G· Nov 15, 2024
Registry listing for deploying-active-directory-honeytokens matched our evaluation — installs cleanly and behaves as described in the markdown.
- ★★★★★Layla Tandon· Nov 11, 2024
deploying-active-directory-honeytokens has been reliable in day-to-day use. Documentation quality is above average for community skills.
- ★★★★★Li Bansal· Oct 14, 2024
deploying-active-directory-honeytokens has been reliable in day-to-day use. Documentation quality is above average for community skills.
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