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Unified hardware reverse engineering framework. Extract all information from any system through signals and data. Unknown protocol discovery, state machine extraction, CRC recovery, security analysis. 16+ protocols, IEEE-compliant measurements.

Project description

Oscura

Unified hardware reverse engineering framework. Extract all information from any system through signals and data.

Build Status: CI Code Quality Documentation Test Quality

Package: PyPI version Python 3.12+ License: MIT PyPI Downloads

Code Quality: codecov Ruff Docstring Coverage

Project Status: Maintenance Last Commit


What is Oscura?

Oscura is a hardware reverse engineering framework for security researchers, right-to-repair advocates, defense analysts, and commercial intelligence teams. From oscilloscope captures to complete system understanding.

Reverse Engineering: Unknown protocol discovery • State machine extraction • CRC/checksum recovery • Proprietary device replication • Security vulnerability analysis

Signal Analysis: IEEE-compliant measurements (181/1241/1459/2414) • Comprehensive protocol decoding (16+ protocols) • Spectral analysis • Timing characterization

Built For: Exploitation • Replication • Defense analysis • Commercial intelligence • Right-to-repair


Installation

# Using uv (recommended)
uv pip install oscura

# Or with pip
pip install oscura

# Development install (RECOMMENDED)
git clone https://github.com/oscura-re/oscura.git
cd oscura
./scripts/setup.sh            # Complete setup (dependencies + hooks)
./scripts/verify-setup.sh     # Verify environment is ready

Quick Start

import oscura as osc

# Load oscilloscope capture
trace = osc.load("capture.wfm")

# Basic measurements
print(f"Frequency: {osc.frequency(trace) / 1e6:.3f} MHz")
print(f"Rise time: {osc.rise_time(trace) * 1e9:.1f} ns")

# Decode protocol
from oscura.protocols import UARTDecoder
decoder = UARTDecoder(baud_rate=115200)
messages = decoder.decode(trace)

Learn by Example

Demos are the documentation. Each category includes working code with comprehensive explanations.

Core Capabilities

Demo Description
01_waveform_analysis Load and analyze Tektronix, Rigol, LeCroy captures
02_file_format_io CSV, HDF5, NumPy, custom binary formats
03_custom_daq Streaming loaders for custom DAQ systems
04_serial_protocols UART, SPI, I2C, 1-Wire decoding
05_protocol_decoding Protocol auto-detection and decoding
06_udp_packet_analysis Network packet capture and analysis

Advanced Analysis

Demo Description
07_protocol_inference State machine learning, CRC reverse engineering
08_automotive_protocols CAN, CAN-FD, LIN, FlexRay analysis
09_automotive OBD-II, UDS, J1939 diagnostics
10_timing_measurements Rise/fall time, duty cycle (IEEE 181)
11_mixed_signal Analog + digital combined analysis
12_spectral_compliance FFT, THD, SNR, SINAD (IEEE 1241)
13_jitter_analysis TIE, RJ/DJ, eye diagrams (IEEE 2414)
14_power_analysis DC-DC, ripple, efficiency (IEEE 1459)
15_signal_integrity TDR, S-parameters, setup/hold timing
16_emc_compliance CISPR, FCC, MIL-STD testing
17_signal_reverse_engineering Complete unknown signal analysis
18_advanced_inference Bayesian inference, Protocol DSL
19_complete_workflows End-to-end reverse engineering

Run Your First Demo

# Generate demo data
python demos/generate_all_demo_data.py

# Run a demo
uv run python demos/01_waveform_analysis/comprehensive_wfm_analysis.py

Key Features

Protocols (16+)

UART • SPI • I2C • 1-Wire • CAN • CAN-FD • LIN • FlexRay • JTAG • SWD • Manchester • Miller • USB • HDLC • I2S • MDIO • DMX512

File Formats (18+)

Tektronix WFM • Rigol WFM • LeCroy TRC • Sigrok • VCD • CSV • NumPy • HDF5 • MATLAB • WAV • JSON • BLF • MF4 • PCAP • PCAPNG

Standards Compliance

IEEE 181-2011: Rise/fall time, pulse width, overshoot

IEEE 1241-2010: SNR, SINAD, THD, SFDR, ENOB

IEEE 1459-2010: Power factor, harmonics, efficiency

IEEE 2414-2020: TIE, period jitter, RJ/DJ


Command Line Interface

# Characterize signal measurements
oscura characterize capture.wfm

# Decode protocol
oscura decode uart.wfm --protocol uart

# Batch process multiple files
oscura batch '*.wfm' --analysis characterize

# Compare two signals
oscura compare before.wfm after.wfm

# Interactive shell
oscura shell

See CLI Reference for complete documentation.


Contributing

We welcome contributions! See CONTRIBUTING.md for development setup and guidelines.

# Quick setup
git clone https://github.com/oscura-re/oscura.git
cd oscura
uv sync --all-extras
./scripts/setup/install-hooks.sh

# Run tests
./scripts/test.sh

# Quality checks
./scripts/check.sh

Documentation


License

MIT License - see LICENSE for details.


Citation

If you use Oscura in research:

@software{oscura,
  title = {Oscura: Signal Reverse Engineering Toolkit},
  author = {Oscura Contributors},
  year = {2026},
  url = {https://github.com/oscura-re/oscura}
}

Machine-readable: CITATION.cff


Support


Oscura • Reverse engineer any system from captured waveforms

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