Phone number OSINT and metadata tracing tool
Project description
PhoneTracer ⚡️
OSINT Phone Number Metadata Toolkit
PhoneTracer is a modular Python toolkit for extracting public,
non-invasive metadata from phone numbers using Google’s
libphonenumber (via the phonenumbers library).
❗ PhoneTracer does NOT track phones, reveal owners, or provide live locations.
✨ Features
- 📞 Phone number parsing & validation
- 🌍 Country / region identification
- 🏷 Carrier lookup (when available)
- 🕒 Timezone detection
- 🧠 Spam-style heuristic scoring
- 📄 Scan numbers from text files
- 📊 JSON export
- 🖥 Argument-based CLI
- 📟 Interactive command-line menu
- 🪟 Desktop GUI (Tkinter)
- 🧪 Built-in tests
- 🤖 GitHub Actions CI
🧱 Project Architecture
phone_tracer/
│
├── main.py # Mode selector (entry point)
├── core.py # Shared logic (analysis, logging, export)
├── cli_args.py # Argument-based CLI mode
├── cli_menu.py # Interactive command-line menu
├── gui_app.py # GUI (Tkinter)
│
├── tracer.log # Runtime logs
└── .github/
└── workflows/
└── python-ci.yml
🚀 Getting Started
Requirements
- Python 3.7+
Install dependency
pip install phonenumbers
▶️ Usage
Start PhoneTracer
python main.py
You will be prompted to choose:
1. Argument mode
2. Command-line menu
3. GUI
🔹 Argument Mode
python main.py
# choose option 1
Then use:
python cli_args.py -n "+91 9513717169"
python cli_args.py -f numbers.txt
🔹 Command-line Menu
python main.py
# choose option 2
Interactive menu-driven interface.
🔹 GUI Mode
python main.py
# choose option 3
Simple desktop UI built with Tkinter.
📂 Output
All scan results are exported as JSON files:
YYYYMMDD_HHMMSS_<PHONE>.json
🧠 Spam Heuristics
PhoneTracer assigns a spam score based on simple patterns:
- Repeated digits
- Excessive zeros
- Abnormal formatting
This is only an indicator, not a classification.
🤖 Continuous Integration
GitHub Actions automatically:
- Installs dependencies
- Runs core sanity tests
- Ensures CLI paths load correctly
Workflow file:
.github/workflows/python-ci.yml
🔐 Privacy & Ethics
- ❌ No phone tracking
- ❌ No subscriber identification
- ❌ No surveillance techniques
- ✅ Metadata-only analysis
Use responsibly and legally.
📜 License
MIT License Educational & research use is encouraged.
⭐ If you find this project useful, consider starring the repository!
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