AntiScam Pro is a modern, open-source security toolkit designed to detect phishing, scam, and spam in messages, phone numbers, and URLs.
It combines AI-powered analysis (BERT), heuristic detection, and VirusTotal integration to deliver precise, transparent, and explainable results.

• 🤖 AI-powered message classification – fine-tuned BERT model detects phishing or spam text.
• 🔗 Smart URL inspection – resolves redirects, short links, and checks domains via VirusTotal.
• 📞 Phone number validation – detects known or suspicious scam numbers.
• 🌐 REST API + Web UI – interact easily from a browser or programmatically.
• 📊 Session & global statistics – track analysis metrics over time.
• 🔒 Privacy-first design – no data is stored or sent externally.

git clone https://github.com/zvspany/antiscam-pro.git
cd antiscam-pro
pip install -r requirements.txt

If you want to enable VirusTotal integration, create .env file in the project root:

VIRUSTOTAL_API_KEY=your_api_key_here
FLASK_SECRET_KEY=change_this_secret

Then run the app:

python app.py

Access the dashboard at: 👉 http://127.0.0.1:5000

You can use AntiScam Pro either from the browser UI or the API endpoints.

AntiScam Pro applies multi-layered analysis for high accuracy and interpretability: 1. Input Validation – detects whether the user provided a message, URL, or number. 2. Heuristic Filters – scans for known scam keywords, shorteners, or flagged domains. 3. AI Classification – BERT model predicts whether text is phishing, spam, or safe. 4. External Intelligence – optional VirusTotal API check for additional reputation data. 5. Decision Fusion – merges signals into a single final verdict. This architecture ensures both speed and transparency, making it suitable for research and production use.

• 🐍 Python 3 + Flask – lightweight and fast backend
• 🤗 HuggingFace Transformers (BERT) – machine learning for text analysis
• 🌍 Requests – robust HTTP handling
• 🧩 VirusTotal API – optional link intelligence
• ⚙️ Regex + heuristic rules – simple but effective early filtering

AntiScam Pro is built around four core principles: 🕵️‍♂️ Transparency – detection logic is fully open and auditable ⚡ Simplicity – lightweight, minimal dependencies 🔐 Privacy – no user tracking, no telemetry, no cloud sync 🧩 Extensibility – easy to add models, blacklists, or new APIs

Contributions are welcome! If you’d like to enhance detection logic, optimize performance, or improve UI/UX — open a pull request or issue. Let's build a safer digital world, together 💙

This project is released under the MIT License.

MIT License

Copyright (c) 2025 zvspany

Permission is hereby granted, free of charge, to any person obtaining a copy
of this software and associated documentation files (the “Software”), to deal
in the Software without restriction, including without limitation the rights
to use, copy, modify, merge, publish, distribute, sublicense, and/or sell
copies of the Software, and to permit persons to whom the Software is
furnished to do so, subject to the following conditions:

The above copyright notice and this permission notice shall be included in all
copies or substantial portions of the Software.

THE SOFTWARE IS PROVIDED “AS IS”, WITHOUT WARRANTY OF ANY KIND, EXPRESS OR
IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY,
FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE
AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER
LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM,
OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN
THE SOFTWARE.

Built by @zvspany Inspired by the fight against online scams, phishing, and misinformation. Powered by the open-source community 🌍

🧩 AntiScam Pro — because cybersecurity should be transparent, intelligent, and free.