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Deploy & cloud (DevOps)35k · #5623

deploying-ransomware-canary-files

Helps your agent create fake files to detect ransomware. It alerts if any file is accessed or modified.

What it does

This tool creates decoy files in strategic locations on your computer. If any program tries to read, modify, or delete these files, it alerts you immediately, indicating a potential ransomware attack.

When to use it

  • ✓To detect ransomware before it damages your important files.
  • ✓To monitor shared folders or backups.
  • ✓As an extra warning on systems where other security programs cannot be installed.

Example of what to ask your AI

“Set up a decoy file alert system on my file server.”

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/deploying-ransomware-canary-files/SKILL.md

Ready-to-paste message

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

The tool places 'bait' files in locations that ransomware typically targets. It uses a program called 'watchdog' to keep an eye on these files. If anything happens to them, you receive an alert via email or message.

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 deploying-ransomware-canary-files

Or download just the file:

curl -L https://raw.githubusercontent.com/mukul975/Anthropic-Cybersecurity-Skills/main/skills/deploying-ransomware-canary-files/SKILL.md -o SKILL.md
Technical content (original SKILL.md)

Original text by the author, straight from GitHub.

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
FAQ

What are 'canary' or 'decoy' files?

These are fake files created intentionally to attract the attention of malicious software like ransomware. If they are accessed, it's a strong sign that something is wrong.

Does this prevent ransomware attacks?

No, this tool is for early detection, not prevention. It's like a fire alarm; it warns you but doesn't put out the fire.

Do I need to know how to code to use this?

The tool itself is a program, but the request to create it is simple. You just need to follow the setup instructions; you don't need to write code.

Details

Original description by the author

Deploys and monitors ransomware canary files using Python's watchdog library, placing decoy files mimicking high-value targets (financial records, credentials, database exports) where ransomware enumerates first, and alerting via email, Slack, or syslog on any read/modify/rename/delete. Use for early-warning ransomware detection on file servers, NAS, or endpoints, or to supplement EDR where agents

repo: mukul975/Anthropic-Cybersecurity-Skills

Popularity

GitHub stars
35k
Ranking position
#5623
License
Apache-2.0
Updated
8/31/2026

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