deploying-decoy-files-for-ransomware-detection

name	deploying-decoy-files-for-ransomware-detection
description	Deploys canary files (honeytokens) across file systems to detect ransomware encryption activity in real time. Uses strategically placed decoy documents monitored via file integrity monitoring or OS-level watchdogs to trigger alerts when ransomware modifies or encrypts them. Activates for requests involving ransomware canary deployment, honeyfile setup, deception-based ransomware detection, or file integrity monitoring for encryption.
domain	cybersecurity
subdomain	ransomware-defense
tags	["ransomware","detection","canary-files","honeytokens","deception","file-integrity"]
version	1.0.0
author	mahipal
license	Apache-2.0
nist_csf	["PR.DS-11","RS.MA-01","RC.RP-01","PR.IR-01"]
mitre_attack	["T1486","T1083","T1490","T1485"]
source	https://github.com/mukul975/Anthropic-Cybersecurity-Skills
source_commit	04450304b12645cb2b974ab96d28c0664758a88d

Deploying Decoy Files for Ransomware Detection

When to Use

• Setting up early-warning detection for ransomware on file servers or endpoints
• Supplementing EDR/AV with a deception-based detection layer that catches unknown ransomware variants
• Creating high-fidelity ransomware alerts that have very low false-positive rates (legitimate users have no reason to touch decoy files)
• Testing ransomware response procedures by validating that canary file modifications trigger the expected alerting pipeline
• Protecting high-value file shares (finance, HR, legal) with tripwire files that indicate unauthorized encryption activity

Do not use decoy files as the sole ransomware defense. They are a detection mechanism, not a prevention mechanism, and should complement backups, EDR, and access controls.

Prerequisites

• Python 3.8+ with watchdog library for cross-platform file system monitoring
• Administrative access to target file shares or endpoints for canary placement
• File integrity monitoring (FIM) tool or SIEM integration for alert routing
• Understanding of target directory structure to place canaries in high-value locations
• Windows: NTFS change journal or ReadDirectoryChangesW API access
• Linux: inotify support in kernel (standard in modern kernels)

Workflow

Step 1: Design Canary File Strategy

Plan file placement for maximum detection coverage:

Canary File Placement Strategy:
━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━
Naming Convention:
  - Use names that sort FIRST and LAST alphabetically in each directory
  - Ransomware typically enumerates directories A-Z or Z-A
  - Examples: _AAAA_budget_2024.docx, ~zzzz_report_final.xlsx

Placement Locations:
  - Root of every file share (\\server\share\_AAAA_canary.docx)
  - Desktop, Documents, Downloads on each endpoint
  - Department-specific shares (Finance, HR, Legal)
  - Backup staging directories
  - Home directories of high-privilege accounts

File Types:
  - .docx, .xlsx, .pdf (most targeted by ransomware)
  - .sql, .bak (database files, high value)
  - Mix of file types to detect ransomware that targets specific extensions

Step 2: Generate Realistic Canary Files

Create decoy files with realistic content and metadata:

import os
import time

def create_canary_docx(filepath, content="Q4 Financial Summary - Confidential"):
    
     docx  Document
    doc = Document()
    doc.add_heading(, level=)
    doc.add_paragraph(content)
    doc.add_paragraph()
    doc.save(filepath)

 ():
    
    content = 
    content += 
    content += 
     (filepath, )  f:
        f.write(content)