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Deploy & cloud (DevOps)35k · #6053

performing-deception-technology-deployment

Teaches your AI agent to ship projects and manage infrastructure.

What it does

This tool creates digital 'traps' on your network to detect hackers who have already bypassed primary defenses. It uses fake systems (like servers or accounts) that, if accessed, immediately alert you to suspicious activity.

When to use it

  • ✓When you suspect hackers are already inside your network.
  • ✓To detect if stolen credentials (passwords) are being used.
  • ✓To find network security gaps that normal defenses miss.

Example of what to ask your AI

“Set up digital traps to detect lateral movement on the network.”

Want more? Open the sections below.

How to use

The easiest way: copy the message below and paste it into Claude, ChatGPT, Cursor or any AI. It reads the skill and follows the instructions.

Skill link

https://github.com/mukul975/Anthropic-Cybersecurity-Skills/blob/main/skills/performing-deception-technology-deployment/SKILL.md

Ready-to-paste message

Use this skill to help me: https://github.com/mukul975/Anthropic-Cybersecurity-Skills/blob/main/skills/performing-deception-technology-deployment/SKILL.md Read the SKILL.md file at that link and follow its instructions for my task.
How it works

The tool configures fake systems (honeypots) and fake accounts (honeytokens) in strategic network locations. Any attempt to access these traps generates a high-confidence alert, as they should not be accessed under normal circumstances.

Installation

Easiest way: copy the skill link and paste it into Claude, ChatGPT or Cursor asking it to follow the instructions.

In the terminal (Claude Code, Codex, Cursor), in your project folder:

npx skills add mukul975/Anthropic-Cybersecurity-Skills --skill performing-deception-technology-deployment

Or download just the file:

curl -L https://raw.githubusercontent.com/mukul975/Anthropic-Cybersecurity-Skills/main/skills/performing-deception-technology-deployment/SKILL.md -o SKILL.md
Technical content (original SKILL.md)

Original text by the author, straight from GitHub.

Performing Deception Technology Deployment

When to Use

Use this skill when:

  • SOC teams need high-fidelity detection of post-compromise lateral movement with near-zero false positives
  • Existing detection tools miss advanced attackers who avoid triggering threshold-based alerts
  • The organization wants to detect credential abuse by planting fake credentials as honeytokens
  • Network segmentation gaps need compensating detection controls

Do not use as a replacement for fundamental security controls (patching, EDR, network segmentation) — deception is a detection layer, not a prevention mechanism.

Prerequisites

  • Network segments identified for honeypot/decoy deployment (server VLANs, DMZ, OT networks)
  • Deception platform (Thinkst Canary, Attivo/SentinelOne Hologram, or open-source alternatives)
  • SIEM integration for deception alerts (any interaction with deception assets is suspicious)
  • Active Directory access for honeytoken account and credential creation
  • Network team coordination for IP allocation and traffic routing

Workflow

Step 1: Map Attack Surface for Deception Placement

Identify high-value network segments where attackers would traverse:

DECEPTION DEPLOYMENT MAP
━━━━━━━━━━━━━━━━━━━━━━━━
Segment              Decoy Type          Rationale
Server VLAN          Fake file server    Attackers enumerate SMB shares during recon
Database VLAN        Fake DB server      SQL scanning detected in past incidents
AD/DC Segment        Honeytoken account  Credential theft detection
Executive Subnet     Fake workstation    Targeted attacks pivot through exec systems
DMZ                  Honeypot web app    External attacker detection
OT Network           Fake PLC/HMI        Industrial threat detection
Cloud (AWS VPC)      Canary EC2 + S3     Cloud lateral movement detection

Step 2: Deploy Thinkst Canary Devices

Configure Canary devices mimicking real infrastructure:

Windows File Server Canary:

{
  "device_name": "FILESERVER-BK04",
  "personality": "windows-server-2019",
  "services": {
    "smb": {
      "enabled": true,
      "shares": ["Finance_Backup", "HR_Archive", "IT_Docs"],
      "files": [
        {"name": "Q4_Revenue_2024.xlsx", "alert_on": "read"},
        {"name": "employee_ssn_export.csv", "alert_on": "read"},
        {"name": "admin_passwords.kdbx", "alert_on": "read"}
      ]
    },
    "rdp": {"enabled": true},
    "http": {"enabled": false}
  },
  "network": {
    "ip": "10.0.5.200",
    "hostname": "FILESERVER-BK04",
    "domain": "company.local"
  },
  "alert_webhook": "https://soar.company.com/api/webhook/canary"
}

Database Server Canary:

{
  "device_name": "DB-ARCHIVE-02",
  "personality": "linux-mysql",
  "services": {
    "mysql": {
      "enabled": true,
      "port": 3306,
      "databases": ["customer_pii", "payment_archive"],
      "alert_on_login_attempt": true
    },
    "ssh": {
      "enabled": true,
      "port": 22,
      "alert_on_login_attempt": true
    }
  },
  "network": {
    "ip": "10.0.10.50",
    "hostname": "db-archive-02"
  }
}

Step 3: Deploy Honeytokens in Active Directory

Create fake privileged accounts that should never be used:

# Create honeytoken service account
New-ADUser -Name "svc_sql_backup" `
    -SamAccountName "svc_sql_backup" `
    -UserPrincipalName "svc_sql_backup@company.local" `
    -Description "SQL Backup Service Account - DO NOT DELETE" `
    -AccountPassword (ConvertTo-SecureString "FakeP@ssw0rd2024!" -AsPlainText -Force) `
    -Enabled $true `
    -PasswordNeverExpires $true `
    -CannotChangePassword $true

# Add to a group that looks attractive (but monitor for any use)
Add-ADGroupMember -Identity "Domain Admins" -Members "svc_sql_backup"

# Place cached credentials on decoy workstation
# (Mimikatz/credential dumping will find these)
cmdkey /add:fileserver-bk04.company.local /user:company\svc_sql_backup /pass:FakeP@ssw0rd2024!

Monitor honeytoken usage in Splunk:

index=wineventlog sourcetype="WinEventLog:Security"
(EventCode=4624 OR EventCode=4625 OR EventCode=4648 OR EventCode=4768 OR EventCode=4769)
TargetUserName="svc_sql_backup"
| eval alert_severity = "CRITICAL"
| eval alert_message = "HONEYTOKEN ACCOUNT USED — Likely credential theft detected"
| table _time, EventCode, src_ip, ComputerName, TargetUserName, Logon_Type, alert_message

Step 4: Deploy Canary Files and Documents

Plant tracked documents that beacon when opened:

…

FAQ

What are 'honeypots' and 'honeytokens'?

'Honeypots' are fake systems or services that look real to attract and detect attackers. 'Honeytokens' are fake credentials (like usernames and passwords) that, if used, indicate they have been stolen.

Why are the alerts high-confidence?

Because these traps have no legitimate use. Any interaction with them is a strong indication that an attacker is trying to access or use them.

Does this replace other security measures?

No. This tool is an additional detection layer, not a replacement for basic security measures like software updates and firewalls.

Details

Original description by the author

Deploys deception technology including honeypots, honeytokens, and decoy systems to detect attackers who have bypassed perimeter defenses, providing high-fidelity alerts with near-zero false positive rates. Use when SOC teams need early warning of lateral movement, credential abuse, or internal reconnaissance by deploying convincing traps across the network. '

repo: mukul975/Anthropic-Cybersecurity-Skills

Popularity

GitHub stars
35k
Ranking position
#6053
License
Apache-2.0
Updated
8/31/2026

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