Nbliq-X1 Phishing Website Identifier is a classifier model trained to detect phishing websites using HTML signatures, page structure, suspicious patterns, and website behavior indicators.
The model was trained using a balanced dataset of known legitimate websites and spam or phishing websites, helping it identify potentially harmful or fraudulent web pages.
| FIELD | DETAILS |
|---|---|
| Model Name | Nbliq-X1 Phishing Website Identifier |
| Model Type | Website classification model |
| Primary Task | Phishing website detection |
| Training Data | 20K known good websites and 20K spam/phishing websites |
| Input Type | Website HTML, page signatures, structural signals |
| Output Type | Phishing / suspicious / legitimate classification |
| Public Availability | No, private model |
The model can help identify:
Phishing websites
Suspicious website templates
Scam domains
Website impersonation attempts
Fake login pages
Fraudulent landing pages
Malicious HTML signatures
Risky page structuresNbliq-X1 Phishing Website Identifier can be used for:
Cybersecurity platforms
Search engine safety filtering
Browser protection tools
Domain reputation systems
Anti-phishing APIs
Enterprise security monitoring
Email link safety scanning
Fraud detection systems
AI model has analyzed the dataset and generated accurate visual outputs based on the learned patterns.:
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