Overview:
The Phishing Detection & Reporting Tool is a cybersecurity application designed to identify, analyze, and report phishing attempts targeting users via email, websites, or messaging platforms. Using machine learning and real-time analysis, it helps organizations and individuals prevent data theft, credential compromise, and financial fraud.

Key Features:

1. Email & URL Scanning – Detects suspicious links, attachments, and sender information in incoming emails.

2. Real-Time Phishing Detection – Uses machine learning algorithms to classify messages or websites as phishing or safe.

3. Blacklist & Whitelist Management – Maintains lists of verified safe sources and known phishing domains.

4. User Reporting Module – Allows users to report suspected phishing attempts for analysis.

5. Alert & Notification System – Notifies security teams or users immediately when a threat is detected.

6. Machine Learning Models – Employs techniques like Naive Bayes, Random Forest, or Deep Learning for improved detection accuracy.

7. Dashboard Analytics – Displays phishing attempt statistics, sources, affected users, and risk trends.

8. Integration with Email Clients & Browsers – Works with platforms like Gmail, Outlook, and web browsers to provide real-time protection.

9. Automated Mitigation – Quarantines suspicious emails or blocks malicious websites automatically.

10. Reporting & Compliance – Generates logs and reports for cybersecurity audits and regulatory compliance.

Technology Stack:

• Backend: Node.js, Java, or PHP for processing and threat detection

• Frontend: HTML, CSS, Bootstrap, JavaScript (for dashboard visualizations)

• Database: MySQL or MongoDB for storing reported phishing incidents and blacklists

• Machine Learning: Python (Scikit-learn, TensorFlow, or PyTorch) for classification models

• APIs: Email service APIs, browser extensions, and threat intelligence feeds

Use Cases:

• Corporate IT Security Teams: Protect employees from phishing attacks and reduce risk of data breaches.

• Financial Institutions: Prevent fraud and credential theft targeting customers.

• Individual Users: Identify and avoid phishing emails or malicious websites.

• Educational Institutions: Protect students and staff from cyber threats.