TryCatchHCF/Cloakify

Health v2 · maintenance only

Adoption not part of the score

1683 stars · 235 forks observed · 2026-08-28

What it is AI-extracted, prompt v1, taxonomy v1, 2026-08-30, confidence not recorded

CloakifyFactory is a Python-based text-based steganography toolset that converts any file type into lists of innocuous everyday strings (e.g., Pokemon names, top websites) to hide data in plain sight. It is designed for red-team data exfiltration, evading DLP/MLS devices, data whitelisting controls, and signature-based AV detection.

Use cases

• exfiltrate files past DLP systems disguised as harmless text lists
• defeat data whitelisting controls by cloaking payloads as IP addresses
• evade signature-based malware detection when transferring files
• social-engineer security analysts reviewing outbound data
• teach crypto and steganography concepts to beginners
• hide any filetype (zip, exe, xls) as everyday strings

When to choose

• you need to move data across a monitored network perimeter without triggering DLP or whitelisting alerts
• you are doing red-team or pentest engagements requiring covert data transfer
• you want a simple educational tool for demonstrating steganography

When to avoid

• you need strong cryptographic protection rather than obfuscation - cloaked data is not encrypted against analysis
• you need a maintained Python 3 tool - the project still requires Python 2.7 and has not seen releases since 2020
• you need high-bandwidth or automated bulk exfiltration - the tool is menu-driven and simple by design

Facets

cli-tool · maturity maintenance

cryptography security privacy cli security penetration-testing privacy developer-tools python windows cli steganography data-exfiltration red-team dlp-evasion pentesting text-based-steganography linux macos

Member repositories

For agents

markdown · JSON · MCP: product_card(name="TryCatchHCF/Cloakify")