Flipper RF Lab

Professional RF Analysis & Research Platform for Flipper Zero

Transform your Flipper Zero into a laboratory-grade RF forensics instrument with 15 advanced analysis features.

Features

Feature	Description	Status
RF Fingerprinting	Device-level identification via timing drift, rise/fall slopes, clock instability	✅
Adaptive Signal Modeling	Automatic protocol detection and hypothesis generation	✅
Cross-Session Correlation	Compare signals across capture sessions	✅
Behavioral Profiling	Long-term device behavior analysis	✅
Timing Stability Analysis	Laboratory-grade oscillator characterization	✅
Advanced Clustering	K-means and hierarchical signal grouping	✅
Threat Modeling	Vulnerability scoring and risk assessment	✅
Real-Time Activity Map	Continuous 300-928 MHz spectrum monitoring	✅
Signal Replay Integrity	Verify fidelity of signal regeneration	✅
Modular Research Mode	Deep analytical tools for protocol reverse engineering	✅
Internal Telemetry	OS-level performance monitoring	✅
Deterministic Execution	<1μs timing jitter for scientific validity	✅
Signal Compression	5:1+ compression for long-term logging	✅
Long-Term Logging	Unattended background monitoring	✅
Embedded Math Toolkit	Q15.16 fixed-point operations	✅

Quick Start

Prerequisites

• Flipper Zero device
• Flipper Zero Firmware SDK

Installation

# 1. Clone the Flipper Zero firmware
git clone https://github.com/flipperdevices/flipperzero-firmware.git
cd flipperzero-firmware

# 2. Add this application to user apps
git clone https://github.com/tworjaga/flipper-rf-lab.git applications_user/flipper-rf-lab

# 3. Build the application
./fbt fap_flipper_rf_lab

# 4. Flash to your Flipper Zero
./fbt fap_flipper_rf_lab flash

Alternative: Direct Download

Download the latest .fap file from Releases and copy to your Flipper's SD card.

Usage

Main Menu

• Capture Mode: Real-time RF signal capture with analysis
• Spectrum Scan: 300-928 MHz continuous monitoring
• Device Database: View identified device fingerprints
• Research Mode: Advanced protocol reverse engineering tools
• Settings: Configure RF parameters and logging options

Capture & Analysis

1. Select frequency band (315/433/868/915 MHz or custom)
2. Choose modulation type or use auto-detection
3. Start capture - signals are automatically analyzed
4. View real-time results: fingerprint, threat score, protocol guess

Research Mode

• Raw timing dumps to CSV
• Binary frame visualization
• Pulse histogram analysis
• Frame alignment tools

Architecture

flipper-rf-lab/
├── core/                    # Main application & HAL
│   ├── flipper_rf_lab.h     # Core data structures
│   ├── flipper_rf_lab_main.c # Entry point & FreeRTOS tasks
│   ├── hal/                 # Hardware abstraction
│   │   ├── cc1101_driver.c  # TI CC1101 RF transceiver
│   │   ├── gpio_manager.c   # GPIO control
│   │   └── timer_precision.c # DWT cycle counter (1μs)
│   └── math/                # Fixed-point math library
│       ├── fixed_point.c    # Q15.16 operations
│       └── statistics.c     # Welford's online algorithm
├── analysis/                # Signal analysis engines
│   ├── fingerprinting.c     # RF device fingerprinting
│   ├── clustering.c         # K-means & hierarchical
│   ├── protocol_infer.c     # Protocol detection
│   └── threat_model.c       # Vulnerability scoring
├── storage/                 # Data persistence
│   ├── sd_manager.c         # FAT32 file operations
│   └── compression.c        # Delta, RLE, Huffman, LZ77
├── ui/                      # User interface
│   └── main_menu.c          # 128x64 LCD menu system
└── research/                # Advanced tools
    └── telemetry.c          # Performance monitoring

Technical Specifications

Parameter	Value
Platform	Flipper Zero (STM32WB55RG)
CPU	ARM Cortex-M4 @ 64 MHz
RAM Usage	~60 KB (static allocation only)
Timing Precision	0.1 μs (DWT cycle counter)
Frequency Range	300-928 MHz
Modulations	2-FSK, 4-FSK, GFSK, MSK, OOK, ASK
Compression	16.7:1 ratio (RLE)
Battery Life	8+ hours logging, 48+ hours standby

Testing

All core algorithms are verified with Python simulations:

cd tests
python test_algorithms.py

Results: 30/30 tests passing (100%)

• Fixed-point math (Q15.16)
• Compression algorithms (Delta, RLE)
• Statistical analysis (Welford's algorithm)
• Clustering (K-means, Euclidean distance)
• Threat modeling (Shannon entropy)
• Protocol inference (OOK, FSK, ASK detection)

Contributing

Contributions welcome! Please read CONTRIBUTING.md for guidelines.

License

MIT License - see LICENSE file.

Acknowledgments

• Flipper Devices for the amazing Flipper Zero
• Flipper Zero Firmware team
• TI CC1101 datasheet and application notes

Contact

Author: @tworjaga

For bug reports and feature requests, please use GitHub Issues.

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