Individual skill
deploying-honeytokens-and-canarytokens
Plants Canarytokens-based decoy artifacts (honey credentials, DNS tokens, web-bug URLs, AWS keys, documents, kubeconfigs) using Thinkst's open-source Canarytokens project and alerts via email or webhook when a token is touched. Use for high-fidelity intrusion detection in low-telemetry areas like file shares or credential stores, or to catch credential dumping and data-theft staging.
skills/deploying-honeytokens-and-canarytokens/SKILL.md
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- Last checked
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- Repository last updated
- Aug 31, 2026
- License
- Apache-2.0
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- ai-agents Repository topic
- claude-code Repository topic
- cybersecurity Repository topic
- incident-response Repository topic
- mitre-attack Repository topic
- penetration-testing Repository topic
- red-team Repository topic
- security Repository topic
- cloud-security Repository topic
- malware-analysis Repository topic
- deception-technology Declared skill tag
- canarytokens Declared skill tag
- honeytokens Declared skill tag
- breach-detection Declared skill tag
- threat-detection Declared skill tag
- d3fend Declared skill tag
- decoy-credentials Declared skill tag
- intrusion-detection Declared skill tag
- data Derived category
- security Derived category
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# Deploying Honeytokens and Canarytokens
> **Authorized Use Only:** Deception assets described here are defensive controls deployed inside your own environment. Deploying tokens, decoy credentials, or honeypots on infrastructure you do not own or administer, or using them to entrap third parties, may violate computer-misuse and privacy law. Deploy only on assets you own or are explicitly authorized to instrument, and route all alert data through approved monitoring channels.
## Overview
Honeytokens (a.k.a. canarytokens) are decoy artifacts — credentials, files, URLs, API keys, DNS names, database connection strings, documents — that have no legitimate operational use. Because no authorized user or process should ever touch them, **any** interaction is a high-fidelity signal of an intrusion, insider misuse, or reconnaissance. Unlike signature- or anomaly-based detection, honeytokens generate near-zero false positives: the alert *is* the compromise.
Thinkst's open-source **Canarytokens** project (https://canarytokens.org and the self-hostable `thinkst/canarytokens-docker`) generates dozens of token types that "phone home" when triggered: an HTTP/web-bug URL that fires on GET, an AWS API key that fires when used against AWS, an MS Word/PDF document that fires on open, a DNS token that fires on resolution, a Slack API token, a Kubernetes `kubeconfig`, an Azure login certificate, a `log4shell` payload, and more. Each token is bound to a unique `memo` (so you know *where* it was planted) plus an alert channel (email and/or webhook).
This skill maps to MITRE D3FEND's **Decoy File (D3-DF)**, **Decoy User Credential (D3-DUC)**, and **Honeytoken** techniques. From an ATT&CK perspective, a triggered honey credential most commonly evidences adversary attempts to abuse or modify authentication material (**T1556 – Modify Authentication Process** and related credential-access activity), giving the SOC an early, unambiguous tripwire deep inside the kill chain — typically after initial access but before lateral movement completes.
## When to Use
- When you need high-fidelity intrusion detection in segments where traditional telemetry is sparse (file shares, password vaults, code repos, cloud accounts).