{"id":27100812,"url":"https://github.com/subbareddy2004/fie-balu-phishing-detection","last_synced_at":"2025-04-06T13:38:08.201Z","repository":{"id":285275268,"uuid":"957584482","full_name":"Subbareddy2004/FIE-Balu-Phishing-detection","owner":"Subbareddy2004","description":null,"archived":false,"fork":false,"pushed_at":"2025-03-30T18:13:13.000Z","size":316,"stargazers_count":0,"open_issues_count":0,"forks_count":0,"subscribers_count":1,"default_branch":"main","last_synced_at":"2025-03-30T19:24:09.324Z","etag":null,"topics":[],"latest_commit_sha":null,"homepage":null,"language":"Python","has_issues":true,"has_wiki":null,"has_pages":null,"mirror_url":null,"source_name":null,"license":null,"status":null,"scm":"git","pull_requests_enabled":true,"icon_url":"https://github.com/Subbareddy2004.png","metadata":{"files":{"readme":"README.md","changelog":null,"contributing":null,"funding":null,"license":null,"code_of_conduct":null,"threat_model":null,"audit":null,"citation":null,"codeowners":null,"security":null,"support":null,"governance":null,"roadmap":null,"authors":null,"dei":null,"publiccode":null,"codemeta":null}},"created_at":"2025-03-30T18:11:50.000Z","updated_at":"2025-03-30T18:13:16.000Z","dependencies_parsed_at":"2025-03-30T19:24:11.643Z","dependency_job_id":"3c532305-aa07-433c-8a43-a6c805afc1ab","html_url":"https://github.com/Subbareddy2004/FIE-Balu-Phishing-detection","commit_stats":null,"previous_names":["subbareddy2004/fie-balu-phishing-detection"],"tags_count":0,"template":false,"template_full_name":null,"repository_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/Subbareddy2004%2FFIE-Balu-Phishing-detection","tags_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/Subbareddy2004%2FFIE-Balu-Phishing-detection/tags","releases_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/Subbareddy2004%2FFIE-Balu-Phishing-detection/releases","manifests_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/Subbareddy2004%2FFIE-Balu-Phishing-detection/manifests","owner_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/owners/Subbareddy2004","download_url":"https://codeload.github.com/Subbareddy2004/FIE-Balu-Phishing-detection/tar.gz/refs/heads/main","host":{"name":"GitHub","url":"https://github.com","kind":"github","repositories_count":247490613,"owners_count":20947318,"icon_url":"https://github.com/github.png","version":null,"created_at":"2022-05-30T11:31:42.601Z","updated_at":"2022-07-04T15:15:14.044Z","host_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub","repositories_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories","repository_names_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repository_names","owners_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/owners"}},"keywords":[],"created_at":"2025-04-06T13:38:07.679Z","updated_at":"2025-04-06T13:38:08.187Z","avatar_url":"https://github.com/Subbareddy2004.png","language":"Python","funding_links":[],"categories":[],"sub_categories":[],"readme":"\u003ch1 align=\"center\"\u003e 🚨 AI-powered phishing detection system 🚨 \u003c/h1\u003e\n\n![image](https://github.com/user-attachments/assets/cdfb7afc-6eeb-4fdb-9b26-6bcedc247ff4)\n\n\n##  ⚙️ About the Project \n\nAn AI-powered phishing detection system using machine learning to classify emails as **phishing** or **safe**. Built using **Python**, **Streamlit**, and **scikit-learn**, this system analyzes email bodies and URLs to detect phishing attempts.\n\n[![Phishing Detection](https://img.shields.io/badge/Phishing%20Detection-Active-brightgreen)](https://ai-powered-phishing-detection-system-ples7i6bq2tzkaguiykzzt.streamlit.app/)\n\n## 🚀 Features\n\n- **Email Body Analysis**: Uses text processing to identify phishing patterns.\n- **URL Scanning**: Extracts and evaluates URLs within the email to detect malicious links.\n- **Machine Learning**: Trained with labeled phishing data to make predictions on email content.\n- **Interactive UI**: Built with Streamlit for real-time predictions.\n\n## 🧑‍💻 Technologies Used\n\n- **Python** 🐍\n- **Streamlit** 🌐\n- **scikit-learn** 🤖\n- **pandas** 📊\n- **nltk** 🧠\n- **Requests** 🌍\n- **BeautifulSoup** 🍲\n\n## 🎯 Installation \u0026 Setup\n\n1. Clone the repository\n   \n   ```bash\n   git clone https://github.com/yourusername/AI-Powered-Phishing-Detection-System.git\n   cd AI-Powered-Phishing-Detection-System\n\n2. Install Dependencies\n   Create and activate a virtual environment, then install required packages:\n   ```bash\n   python -m venv venv\n   source venv/bin/activate   # For macOS/Linux\n   venv\\Scripts\\activate      # For Windows\n\n   pip install -r requirements.txt\n\n3. Run the App\n   Start the Streamlit app to launch the phishing detection system:\n   ```bash\n   streamlit run phishing_detection.py\n\n4. Upload Dataset for Training (Optional)\n   Upload a CSV file with columns email_body (content of the email) and label (1 for phishing, 0 for safe) to train the model.\n\n🔍 How to Use\n\n- **Training the Model**: Upload a CSV file containing emails labeled as phishing or safe.\n- **Prediction**: Enter the body of an email, and the system will classify it as phishing or safe.\n\nExample Email to Test:\n\n- **Phishing Email**:\n  \n  ```bash\n  Congratulations! You've won a $1000 gift card. Click here to claim your prize: http://phishing.com\n\n- **Safe Email**:\n\n  ```bash\n  Hey, just checking in on our project. Let me know your availability for a meeting.\n\n5. Check Prediction\n   Click Check Phishing to see the prediction results for the email you entered.\n\n## 📊 Results\n\nThe system will display whether the email is a phishing attempt or safe based on its body content and URL features.\n\n## 🛠️ Contributing\n\nContributions are welcome! If you'd like to improve the system or add new features, feel free to fork the repository and submit a pull request.\n\n## 🙌 Acknowledgements\n\n- Streamlit for creating the amazing interface.\n- scikit-learn for machine learning tools.\n- Shields.io for badges.\n- FontAwesome for awesome icons.\n\n## 💻 Preview \n\n## Phishing Email:\n\n![test 1](https://github.com/user-attachments/assets/d1bdae97-ee19-4ac1-bd3f-87b98bad89b8)\n\n## Safe Email:\n\n![test 2](https://github.com/user-attachments/assets/dcef2e5c-01d8-4fb3-9343-6e73d7cb3588)\n\n\n## 🌐 Connect with Me \n\n- 📧 [Email](mailto:gauravghandat12@gmail.com)\n- 💼 [LinkedIn](www.linkedin.com/in/gaurav-ghandat-68a5a22b4)\n\n\n\n\n\n\n\n\n\n\n   \n# FIE-Balu-Phishing-detection\n","project_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fsubbareddy2004%2Ffie-balu-phishing-detection","html_url":"https://awesome.ecosyste.ms/projects/github.com%2Fsubbareddy2004%2Ffie-balu-phishing-detection","lists_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fsubbareddy2004%2Ffie-balu-phishing-detection/lists"}