FISSURE - Frequency Independent SDR-based Signal Understanding And Reverse Engineering - Hacking Land

Frequency Independent SDR-based Signal Understanding and Reverse Engineering

FISSURE is an open-source RF and reverse engineering framework designed for all skill levels with hooks for signal detection and classification, protocol discovery, attack execution, IQ manipulation, vulnerability analysis, automation, and AI/ML. The framework was built to promote the rapid integration of software modules, radios, protocols, signal data, scripts, flow graphs, reference material, and third-party tools. FISSURE is a workflow enabler that keeps software in one location and allows teams to effortlessly get up to speed while sharing the same proven baseline configuration for specific Linux distributions.

The framework and tools included with FISSURE are designed to detect the presence of RF energy, understand the characteristics of a signal, collect and analyze samples, develop transmit and/or injection techniques, and craft custom payloads or messages. FISSURE contains a growing library of protocol and signal information to assist in identification, packet crafting, and fuzzing. Online archive capabilities exist to download signal files and build playlists to simulate traffic and test systems.

The friendly Python codebase and user interface allows beginners to quickly learn about popular tools and techniques involving RF and reverse engineering. Educators in cybersecurity and engineering can take advantage of the built-in material or utilize the framework to demonstrate their own real-world applications. Developers and researchers can use FISSURE for their daily tasks or to expose their cutting-edge solutions to a wider audience. As awareness and usage of FISSURE grows in the community, so will the extent of its capabilities and the breadth of the technology it encompasses.

Getting Started

Supported

There are two branches within FISSURE to make file navigation easier and reduce code redundancy. The Python2_maint-3.7 branch contains a codebase built around Python2, PyQt4, and GNU Radio 3.7; while the Python3_maint-3.8 branch is built around Python3, PyQt5, and GNU Radio 3.8.

Operating System	FISSURE Branch
Ubuntu 18.04 (x64)	Python2_maint-3.7
Ubuntu 18.04.5 (x64)	Python2_maint-3.7
Ubuntu 18.04.6 (x64)	Python2_maint-3.7
Ubuntu 20.04.1 (x64)	Python3_maint-3.8
Ubuntu 20.04.4 (x64)	Python3_maint-3.8

In-Progress (beta)

Operating System	FISSURE Branch
Ubuntu 22.04 (x64)	Python3_maint-3.8

Note: Certain software tools do not work for every OS. Refer to Software And Conflicts

Installation

git clone https://github.com/ainfosec/fissure.gitcd FISSUREgit checkout <Python2_maint-3.7> or <Python3_maint-3.8>./install

This will automatically install PyQt software dependencies required to launch the installation GUIs if they are not found.

Next, select the option that best matches your operating system (should be detected automatically if your OS matches an option).

Python2_maint-3.7	Python3_maint-3.8

It is recommended to install FISSURE on a clean operating system to avoid existing conflicts. Select all the recommended checkboxes (Default button) to avoid errors while operating the various tools within FISSURE. There will be multiple prompts throughout the installation, mostly asking for elevated permissions and user names. If an item contains a "Verify" section at the end, the installer will run the command that follows and highlight the checkbox item green or red depending on if any errors are produced by the command. Checked items without a "Verify" section will remain black following the installation.

Usage

fissure

Refer to the FISSURE Help menu for more details on usage.

Details

Components

Dashboard
Central Hub (HIPRFISR)
Target Signal Identification (TSI)
Protocol Discovery (PD)
Flow Graph & Script Executor (FGE)

Capabilities

Signal Detector

IQ Manipulation

Signal Lookup

Pattern Recognition

Attacks

Fuzzing

Signal Playlists

Image Gallery

Packet Crafting

Scapy Integration

CRC Calculator

Logging

Lessons

FISSURE comes with several helpful guides to become familiar with different technologies and techniques. Many include steps for using various tools that are integrated into FISSURE.

Lesson1: OpenBTS
Lesson2: Lua Dissectors
Lesson3: Sound eXchange
Lesson4: ESP Boards
Lesson5: Radiosonde Tracking
Lesson6: RFID
Lesson7: Data Types
Lesson8: Custom GNU Radio Blocks
Lesson9: TPMS
Lesson10: Ham Radio Exams
Lesson11: Wi-Fi Tools

Roadmap

Add more hardware types, RF protocols, signal parameters, analysis tools
Support more operating systems
Create a signal conditioner, feature extractor, and signal classifier with selectable AI/ML techniques
Develop class material around FISSURE (RF Attacks, Wi-Fi, GNU Radio, PyQt, etc.)
Transition the main FISSURE components to a generic sensor node deployment scheme

Contributing

Suggestions for improving FISSURE are strongly encouraged. Leave a comment in the Discussions page if you have any thoughts regarding the following:

New feature suggestions and design changes
Software tools with installation steps
New lessons or additional material for existing lessons
RF protocols of interest
More hardware and SDR types for integration
IQ analysis scripts in Python
Installation corrections and improvements

Contributions to improve FISSURE are crucial to expediting its development. Any contributions you make are greatly appreciated. If you wish to contribute through code development, please fork the repo and create a pull request:

Fork the project
Create your feature branch (git checkout -b feature/AmazingFeature)
Commit your changes (git commit -m 'Add some AmazingFeature')
Push to the branch (git push origin feature/AmazingFeature)
Open a pull request

Creating Issues to bring attention to bugs is also welcomed.

Collaborating

Contact Assured Information Security, Inc. (AIS) Business Development to propose and formalize any FISSURE collaboration opportunities–whether that is through dedicating time towards integrating your software, having the talented people at AIS develop solutions for your technical challenges, or integrating FISSURE into other platforms/applications.