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FISSURE – Frequency Independent SDR-based Signal Understanding and Reverse Engineering

Frequency Independent SDR-based Signal Understanding and Reverse Engineering

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.


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.

In-Progress (beta)


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).

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.


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



Signal Detector

IQ Manipulation

Pattern Recognition



Signal Playlists

Image Gallery

Packet Crafting

Scapy Integration

CRC Calculator


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.

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:


For license details, see LICENSE file.

Special thanks to Dr. Samuel Mantravadi and Joseph Reith for their contributions to this project.


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