deploying-ransomware-canary-files
Deploys and monitors ransomware canary files using Python's watchdog library, placing decoy files mimicking high-value targets (financial records…
Skill by mukul975
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Works with Claude Code, Claude apps, Codex, Cursor, Gemini CLI, GitHub Copilot, VS Code, OpenCode, Goose, Windsurf. Read the repository before you give any tool access to your data.
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About
Use cases: backend, productivity, finance
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What this skill can do and what it asks for, from its SKILL.md and code. Checked Oct 25, 2026.
- Tools
- No tools found
- Secrets
- None asked for
- Install scripts
- None found
- Runs as
- Python package
Network hosts it talks to 1
codeload.github.com· found in install command
Files it touches
~/.claude/skills/deploying-ransomware-canary-files
What's inside
- Skill name
deploying-ransomware-canary-files- Description
- 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 can't be deployed.
- License
- Apache-2.0
- Instructions
- 70 lines in SKILL.md · view on GitHub
Before installing
- Ships executable scripts
Files (4)
- LICENSE
- SKILL.md
- api-reference.md · references/
- agent.py · scripts/
SKILL.md (first lines)
# 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 ```
From mukul975/Anthropic-Cybersecurity-Skills, Apache-2.0.
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Signals
- Stars
- 34,941
- Forks
- 4,256
- Open issues
- 24
- Last commit (this folder)
- Aug 2, 2026 (3 months ago)
- Last release
- Jun 22, 2026 (4 months ago)
From GitHub (fetched Oct 24, 2026).
Details
- License
- Apache-2.0
- First seen
- Oct 24, 2026
- Last checked
- Oct 24, 2026
- Source
- GitHubgithub-graphql
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deploying-ransomware-canary-files skill. Agent Mart. https://agentmart.dev/skills/mukul975-deploying-ransomware-canary-files (last updated 2026-10-24)