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.
Additional Information
Supported
There are three 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; the Python3_maint-3.8 branch is built around Python3, PyQt5, and GNU Radio 3.8; and the Python3_maint-3.10 branch is built around Python3, PyQt5, and GNU Radio 3.10.
| 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 |
| Ubuntu 20.04.5 (x64) | Python3_maint-3.8 |
| KDE neon 5.25 (x64) | Python3_maint-3.8 |
| Ubuntu 22.04 (x64) | Python3_maint-3.10 |
In-Progress (beta)
These operating systems are still in beta status. They are under development and several features are known to be missing. Items in the installer might conflict with existing programs or fail to install until the status is removed.
| Operating System | FISSURE Branch |
|---|---|
| DragonOS Focal (x86_64) | Python3_maint-3.8 |
| DragonOS FocalX (x86_64) | Python3_maint-3.10 |
Note: Certain software tools do not work for every OS. Refer to Software And Conflicts
Installation
git clone https://github.com/ainfosec/FISSURE.git
cd FISSURE
git checkout <Python2_maint-3.7> or <Python3_maint-3.8> or <Python3_maint-3.10>
git submodule update --init
./install
This will install PyQt software dependencies required to launch the installation GUIs if they are not found. The git submodule command will download all missing GNU Radio out-of-tree modules from their repositories.
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 | Python3_maint-3.10 |
|---|---|---|
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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.
The FISSURE installer is helpful for staging computers or installing select software programs of interest. The code can be quickly modified to allow for custom software installs. The size estimates for the programs are before and after readings from a full install. The sizes for each program are not exact as some dependencies are installed in previously checked items. The sizes may also change over time as programs get updated.
Usage
Open a terminal and enter:
fissure
Refer to the FISSURE Help menu for more details on usage.
Components
- Dashboard
- Central Hub (HIPRFISR)
- Target Signal Identification (TSI)
- Protocol Discovery (PD)
- Flow Graph & Script Executor (FGE)
Capabilities
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Hardware
The following is a list of "supported" hardware with varying levels of integration:
- USRP: X3xx, B2xx, B20xmini, USRP2, N2xx
- HackRF
- RTL2832U
- 802.11 Adapters
- LimeSDR
- bladeRF, bladeRF 2.0 micro
- Open Sniffer
- PlutoSDR
Modifications
More documentation will be released in the future on how to work within the framework to integrate new components and implement message handling. Refer to these Help menu items to modify the Dashboard using PyQt and for how to add your own attacks, inspection/analysis flow graphs, and customized options.
- Modifying Dashboard
- Adding Custom Options
- Attack Flow Graphs
- Attack Python Scripts
- Inspection Flow Graphs
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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
- Lesson12: Creating Bootable USBs
- Provide links to videos in the README and AIS website
- Create new FISSURE logo
- Update documentation to instruct users how to work within the framework
- Provide base support for hardware already on the market
- Identify the most desirable third-party tools within the community
- Identify the most desirable operating systems within the community
- Release a signal conditioner that allows users to select and add techniques for isolating and conditioning signals from large streams of IQ data
- Release a feature extractor that allows users to select and add techniques for extracting features from isolated signals for use in protocol and emitter classification
- Release a signal classifier that allows users to select and add AI/ML techniques. In addition, a decision tree with adjustable features and weights.
- Implement recursive demodulation mechanisms for producing a bitstream from unknown signals
- Increase the online signal archive, support download of selectable collections
- Support the addition of both closed source and user-developed plugins
- Improve the look for different resolutions and window sizes, dark mode
- Group third-party programs in the installer by type
- Resolve DragonOS conflicts
- Transition the main FISSURE components to a generic sensor node deployment scheme
- Increase automation and information exchange between components
- Transition the FISSURE library into a database
- Support alternative FISSURE packaging options
- Add automatic modulation classification (AMC) techniques to the feature extractor
- Support user selection of binary data and pattern analysis techniques
- Improve custom Wireshark dissectors to be protocol-based and not message-based
- Produce confidence levels against bit sequences for protocols and messages already in the library
- Insert vulnerability analysis and automation to attacks
- Improve the mechanism for fuzzing
- Improve measurement, analysis, and visualization in IQ Data tab: radar data, frequency deviation, SigMF annotations
- Create archive playlists to simulate environments
- Develop formal classes around FISSURE (RF Attacks, Wi-Fi, GNU Radio, PyQt, etc.)
- Expand on other untouched areas for RF and cyber (tracking, direction finding, war driving, etc.)
- Improve operational performance
- Expand to other platforms
- Insert customization for different RF environments and applications
- Offer professional training
- Clean up code, remove bugs
- Add new help material
- Improve status messages, system feedback, and visualization for the user
- Integrate new hardware types as they are released
- Expand RF protocols in list and library
- Expand signal parameters in library
- Expand third-party analysis tools and reference material
- Expand support for specific operating systems
- Produce and modify lesson material
- Test and distribute attacks across existing hardware types (where applicable)
- Improve installer: clean up commands, add more checks, fix broken installations
- Provide yearly capture-the-flag contests around FISSURE
- Support new GNU Radio releases
- Update the project idea list every year
Suggestions for improving FISSURE are strongly encouraged. Leave a comment in the Discussions page or in the Discord Server 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.
Need more specific ideas? There are a lot of topics we have yet to investigate. Check out our running list of potential to-do items. Any help is appreciated. Pick an easy one and write that you contributed to FISSURE in your resume/CV.
Are you a student or looking to learn more about RF and programming? Refer to the 2023 Project Idea List.
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.
GPL-3.0
For license details, see LICENSE file.
Join the Discord Server: https://discord.gg/JZDs5sgxcG
Follow on Twitter: @FissureRF, @AinfoSec
Chris Poore - Assured Information Security, Inc. - [email protected]
Business Development - Assured Information Security, Inc. - [email protected]
We acknowledge and are grateful to these developers:
Special thanks to Dr. Samuel Mantravadi and Joseph Reith for their contributions to this project.
Like working with signals and other reverse engineering realms in cybersecurity? Browse current openings or join our talent community for future consideration.
If you have other talents, check out our Can You Hack It?® challenge and test your skills! Submit your score to show us what you’ve got. AIS has a national footprint with offices and remote employees across the U.S. We offer competitive pay and outstanding benefits. Join a team that is not only committed to the future of cyberspace, but to our employee’s success as well.
