# TryCatchHCF/Cloakify

CloakifyFactory - Data Exfiltration & Infiltration In Plain Sight; Convert any filetype into list of everyday strings, using Text-Based Steganography; Evade DLP/MLS Devices, Defeat Data Whitelisting Controls, Social Engineering of Analysts, Evade AV Detection

Repository: https://github.com/TryCatchHCF/Cloakify
Canonical: https://ross.abutalabs.com/products/cloakify
Language: Python
License: MIT
License Family: permissive
Topics: cipher, data-exfiltration, hacking, pentesting, exfiltration, steganography, cryptography, dlp, av-evasion, privacy, security, security-tools, infosec, red-team, pentest, pentest-tool, hacking-tool, hacking-tools, pentest-tools, stego
Last push: 2020-11-24T05:25:04+00:00

## Health v2 (maintenance only)
Score: 23/100 (v2, computed 2026-09-02T17:46:02.011165+00:00)
- activity 0, release rhythm 8, longevity 100
- inputs: {"age_days": 3770, "days_push": 2108, "days_rel": null, "gap_med": null, "n_releases_24m": 0}
- flags: none
- formula: round(0.45*activity + 0.35*rhythm + 0.20*longevity); archived -> min(score, 10)

## Adoption (not part of the score)
Stars 1683, forks 235 (observed 2026-08-28T04:05:21.865855+00:00)

## What it is
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
- artifact type: cli-tool
- maturity: maintenance
- function: cryptography, security, privacy, cli
- domain: security, penetration-testing, privacy, developer-tools
- platform: python, windows, cli
- tags: steganography, data-exfiltration, red-team, dlp-evasion, pentesting, text-based-steganography, linux, macos

## Member repositories
- TryCatchHCF/Cloakify (main) score 23

## Provenance
- Observed fields: from GitHub, fetched 2026-08-28T04:05:21.865855+00:00.
- Health v2: computed from the inputs above; adoption is never an input.
- Inferred fields (summary, facets, guidance): AI-extracted, prompt v1, taxonomy v1, on 2026-08-30T03:41:18.559232+00:00, confidence not recorded.
  - readme: https://github.com/TryCatchHCF/Cloakify (fetched 2026-08-28T04:05:21.865855+00:00, sha 57c54736e5cb)
- Data as of 2026-08-30T08:39:29.467469+00:00.