Implementing Deception Based Detection With Canarytoken

Implementing Deception-Based Detection with Canarytoken

Overview

Canary Tokens are lightweight tripwire mechanisms that alert when an attacker accesses a resource. This skill uses the Thinkst Canary REST API to programmatically create tokens (web bugs, DNS tokens, MS Word documents, AWS API keys), deploy them to strategic locations, monitor for triggered alerts, and generate deception coverage reports.

Prerequisites

• Thinkst Canary Console or canarytokens.org account
• API auth token from Canary Console
• Python 3.9+ with requests
• File system access for deploying document and file tokens

Steps

1. Authenticate to the Canary Console API using auth_token
2. Create web bug (HTTP) tokens for embedding in documents and web pages
3. Create DNS tokens for monitoring DNS resolution attempts
4. Create MS Word document tokens for file share deployment
5. List all active tokens and their trigger history
6. Query recent alerts for triggered token events
7. Generate deception coverage report with deployment recommendations

Expected Output

• JSON report listing all deployed Canary Tokens, trigger history, alert details, and coverage analysis
• Deployment map showing token types across network segments