🛡️ ZeroPhish Gate

How to Use

1. Paste or type the suspicious message in the text box
2. Upload a file (PDF or TXT) if needed
3. Select your role for personalized advice
4. Click Analyze to get results

Threat Types

• 🟢 Safe: No threats detected
• 🟡 Spam: Unwanted promotional content
• 🟠 Suspicious: Potentially harmful content
• 🔴 Phishing: Attempts to steal information
• 🔴 Malware: Malicious software threats

Tips

• Always verify suspicious requests through official channels
• Never click links or download attachments from unknown senders
• When in doubt, contact your IT security team

Hover over underlined blue terms in the analysis to see their definitions:

• Phishing: A type of online scam where attackers trick you into giving away personal information
• Domain Spoofing: When a fake website mimics a trusted one by using a similar-looking web address
• Malware: Software designed to harm or gain unauthorized access to your device or data
• Spam: Unwanted or unsolicited messages, usually advertisements or scams
• Tone: The emotional tone in a message, like being urgent or friendly

Three-Stage Hybrid Analysis Pipeline:

1. Stage 1 - BERT Model: Technical phishing pattern detection
2. Stage 1.5 - RAG Reranking: LLaMA semantic reanalysis for intent understanding
3. Stage 2 - Final Interpretation: User-friendly explanation generation

RAG-Based Reranking Benefits: ✅ Semantic Understanding: LLaMA analyzes intent and context, not just patterns ✅ Social Engineering Detection: Better detection of psychological manipulation ✅ Hybrid Decision Making: Combines pattern matching with contextual analysis ✅ Reduced False Positives: More accurate classification of legitimate messages

How It Works:

• BERT identifies technical patterns (suspicious links, keywords, etc.)
• LLaMA reanalyzes for social engineering, urgency, and intent
• System combines both analyses for final classification
• Prioritizes safety while reducing false alarms

Message Classification:

• Safe: Normal, legitimate messages
• Spam: Unwanted promotional content
• Phishing: Attempts to steal personal information
• Malware: Messages with malicious attachments or links