Anthropic-Cybersecurity-Skills/skills/deploying-ransomware-canary-files/SKILL.md

name, description, domain, subdomain, tags, version, author, license, nist_csf, mitre_attack, mitre_f3

name	description	domain	subdomain	tags	version	author	license	nist_csf	mitre_attack	mitre_f3
deploying-ransomware-canary-files	Deploys and monitors ransomware canary files across critical directories using Python's watchdog library for real-time filesystem event detection. Places strategically named decoy files that mimic high-value targets (financial records, credentials, database exports) in locations ransomware typically enumerates first. Monitors for any read, modify, rename, or delete operations on canary files and triggers immediate alerts via email, Slack webhook, or syslog when interaction is detected, providing early warning before full encryption begins.	cybersecurity	ransomware-defense	ransomware canary-files watchdog detection early-warning deception defense	1.0.0	mahipal	Apache-2.0	PR.DS-11 RS.MA-01 RC.RP-01 PR.IR-01	T1486 T1083 T1490 T1485	version tactics techniques 1.1 monetization id name tactic source F1018 Convert to Cryptocurrency monetization f3 id name tactic source F1017 Conversion to Physical Monetary Instruments monetization f3 id name tactic source F1025.003 Electronic Funds Transfer: Wire Transfer monetization f3

Deploying Ransomware Canary Files

When to Use

• Deploying proactive ransomware detection on file servers, NAS devices, or endpoint systems
• Building an early-warning system that detects ransomware before it encrypts business-critical data
• Supplementing EDR solutions with lightweight canary file monitoring on systems where agents cannot be deployed
• Testing ransomware incident response procedures by simulating canary file triggers
• Monitoring shared drives, home directories, and backup volumes for unauthorized file operations

Do not use as a replacement for endpoint protection, backup strategy, or network segmentation. Canary files are a detection layer, not a prevention mechanism.

Prerequisites

• Python 3.8+ with pip
• watchdog library (pip install watchdog)
• Write access to directories where canary files will be placed
• SMTP server credentials or Slack webhook URL for alerting
• Administrative access for placing canaries in system directories

Workflow

Step 1: Generate Canary Files

Create decoy files with realistic names and content that attract ransomware scanners. Files should have names like Passwords.xlsx, Financial_Report_2026.docx, backup_credentials.csv and contain plausible-looking but fake data. Place them in directories ransomware typically targets first: user desktops, Documents folders, network share roots, and backup paths.

Step 2: Deploy Filesystem Monitor

Use Python's watchdog library with a custom FileSystemEventHandler that watches canary file paths. The handler triggers on on_modified, on_deleted, on_moved, and on_created events for canary files. Any legitimate user or process should never touch these files, so any interaction is a high-confidence indicator of ransomware or unauthorized access.

Step 3: Configure Alert Pipeline

Wire the filesystem monitor to multiple alert channels: email via SMTP, Slack webhook POST, syslog forwarding to SIEM, and local log file. Include the triggering event type, file path, timestamp, and process information (when available) in alert payloads.

Step 4: Validate and Test

Simulate ransomware behavior by programmatically modifying, renaming, and deleting canary files to verify the detection pipeline fires correctly. Measure time-to-alert and validate alert delivery across all configured channels.

Key Concepts

Term	Definition
Canary File	A decoy file placed in a monitored directory that triggers an alert when accessed, modified, or deleted
Watchdog	Python library that monitors filesystem events using OS-native APIs (inotify on Linux, FSEvents on macOS, ReadDirectoryChangesW on Windows)
Honey File	Synonym for canary file; a fake document designed to attract and detect malicious activity
Entropy Check	Measuring randomness in file content to detect encryption (ransomware produces high-entropy output)

Tools & Systems

• watchdog: Python filesystem monitoring library using OS-native event APIs
• smtplib: Python standard library for SMTP email alerting
• requests: HTTP library for Slack webhook integration
• hashlib: SHA-256 hashing for canary file integrity verification
• psutil: Process information gathering when canary file access is detected

Output Format

RANSOMWARE CANARY ALERT
========================
Timestamp: 2026-03-11T14:23:07Z
Event: FILE_MODIFIED
Canary File: /srv/shares/finance/Passwords.xlsx
Directory: /srv/shares/finance
SHA-256 Before: a3f2...8b4c
SHA-256 After: 7e91...2d3f
Alert Channels: [email, slack, syslog]
Action: Investigate immediately - potential ransomware activity