Cloakify - CloakifyFactory - Data Exfiltration & Infiltration

项目说明

CloakifyFactory

CloakifyFactory & the Cloakify Toolset - Data Exfiltration & Infiltration In Plain Sight; Evade DLP/MLS Devices; Social Engineering of Analysts; Defeat Data Whitelisting Controls; Evade A. Text-based steganography using lists. Convert any file type (e.g. executables, Office, Zip, images) into a list of e strings. Very simple tools, powerful concept, limited only by your imagination.

(Update 05/27/2020: Yes, I'll be migrating all of my Github projects to Python3 over the summer of 2020.)

Author

Joe Gervais (TryCatchHCF)

Why

DLP systems, MLS devices, and SecOps analysts know what data to look for:
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So transform that data into something they're <b>not</b> looking for:
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Tutorial

See my DEF CON 24 slides (included in project) from Crypto & Privacy workshop and DemoLabs session. Complete tutorial on what the Cloakify Toolset can do, specific use cases, and more. (The examples in the presentation use the standalone scripts, I recommend using the new CloakifyFactory to streamline your efforts.)

For a quick start on CloakifyFactory, see the cleverly titled file "README_GETTING_STARTED.txt" in the project for a walkthrough.

O

CloakifyFactory transforms any filetype (e.g. .zip, .exe, .xls, etc.) into a list of harmless-looking strings. This lets you hide the file in plain sight, and transfer the file without triggering alerts. The fancy term for this is "text-based steganography", hiding data by making it look like other data. For example, you can transform a .zip file into a list of Pokemon creatures or Top 100 Websites. You then transfer the cloaked file however you choose, and then decloak the exfiltrated file back into its original form.

With your payload cloaked, you can transfer data across a secure network’s perimeter without triggering alerts. You can also defeat data whitelisting controls - is there a security device that only allows IP addresses to leave or enter a network? Turn your payload into IP addresses, problem solved. Additionaly, you can derail the security analyst’s review engineering attacks against their workflows. And as a final bonus, cloaked files defeat signature-based malware detection tools.

The pre-packaged ciphers are designed to appear like harmless / ignorable lists, though some (like MD5 password hashes) are specifically meant as distracting bait.

CloakifyFactory is also a great way to introduce people to crypto and steganography concepts. It's simple to use, guides the user through the process, and according to our kids is also fun!

Requires

Python 2.7.x

Run Cloakify Factory

$ python cloakifyFactory.py

Description

CloakifyFactory is a menu-driven tool that le Cloakify Toolset scripts. When you choose to Cloakify a file, the scripts first Base64-encode the payload, then apply a cipher to generate a list of strings that encodes the Base64 payload. You then transfer the file however you wish to its desired destination. Once exfiltrated, choose Decloakify with the same cipher to decode the payload.

NOTE: Cloakify is not a secure encryption scheme. It's to frequency analysis attacks. Use the 'Add Noise' option to add entropy when cloaking a payload to help degrade frequency analysis attacks. Be sure to encrypt the file prior to cloaking if secrecy is needed.

The supporting scripts (cloakify.py and decloakify.py) can be used as standalone scripts. Very small, simple, clean, portable. For scenarios where infiltrating the full toolset is impractical, you can quickly type the standalone script into a target’s local shell, generate a cipher in place, and cloakify -> exfiltrate.

Use py2exe if Windows target lacks Python. ()

Prepackaged ciphers include lists of:

Amphibians (scientific names)

Belgian Beers

Desserts in English, Arabic, Thai, Russian, Hindi, Chinese, Persian, and Muppet (Swedish Chef)

Emoji

e (smallest cipher space, x3 payload size)

GeoCoords World Capitals (Lat/Lon)

GeoCaching Coordinates (w/ Site Names)

IPv4 Addresses of Popular Websites

MD5 Password Hashes

PokemonGo Monsters

Shortened URLs pointing to different Youtube of Rick Astley's "Ne Give You Up"

Ski Resorts

Status Codes (generic)

Star Trek characters

Top 100 Websites

World Beaches

World Cup Teams

Prepackaged scripts for adding noise / entropy to your cloaked payloads:

prependEmoji.py: Adds a randomize emoji to each line

prependID.py: Adds a randomized ID tag to each line

prependLatLonCoords.py: Adds randomized LatLong coordinates to each line

prependTimestamps.py: Adds timestamps (log file style) to each line

See comments in each script for details on how to tailor the Noise Generators for your own needs

Create Your Own Cipers

Cloakify Factory is at its best when you're using your own customized ciphers. The default ciphers may work for most needs, but in a unique exfiltration scenario you may need to build your own. At the very least, you can copy a prepackaged cipher and randomize the order.

Creating a Cipher:

Generate a list of at least 66 unique words / phrases / symbols (Unicode allowed)

Remove all duplicate entries and all blank lines

Randomize the list order

Place in the "ciphers/" subdirectory

Re-run CloakifyFactory and it will automatically load your new cipher as an option

Test cloaking / decloaking with new cipher before using operationally

Sample Cipher Gallery

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Standalone Scripts

Some of you may prefer to use the Cloakify Toolset scripts in standalone mode. The toolset is designed to support that.

cloakify.py Example

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decloakify.py Example

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Adding Entropy Scripts

Add noise to degrade frequency analysis attacks against your cloaked payloads. Here we use the 'pokemonGo' cipher, then use the 'prependLatLonCoords.py' script to generate random geocoords in a 10x10 mile grid. Strip noise from the file before decloaking, using the 'remo.py' script.

Or of course: $ cat cloakedAndNoisy.txt | cut -d" " -f3- > cloakedNoiseStripped.txt
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项目信息

开发语言：Python

Star 数：1684

技术要点

该项目属于红蓝攻防方向的开源资源，代码结构清晰，适合安全研究人员学习参考。项目围绕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展开，提供了可运行的实现，对理解相关安全机制、工具原理与攻防技术具有较高的研究价值。

从技术实现角度看，此类项目的核心在于对底层原理的深入理解与工程化落地。开发者在研究过程中可以结合官方文档与社区讨论，梳理项目的初始化流程、核心模块职责与数据流转，逐步掌握其中的技术细节与设计思路。

使用与学习建议

1. 下载源码压缩包，解压到本地环境。

2. 根据项目类型准备对应的运行环境与依赖。

3. 按照 README 中的步骤完成配置与部署。

4. 在隔离的测试环境中运行验证，避免影响生产系统。

免责声明

本资源来源于开源社区，仅供安全研究、技术学习与合法授权范围内的攻防演练使用，请勿用于任何非法或侵害他人权益的用途。使用本项目产生的一切后果由使用者自行承担。