Summary
API
Submitted URL: https://nhysoupa.vercel.app/
AI Security Verdict
Confirmed Scam
Confidence: 94%
Cloned Bouygues Telecom Espace Client login page hosted on a duckdns.org dynamic-DNS domain reached via a Vercel subdomain, harvesting passwords through an attacker-controlled process.php. Classic credential phishing.
Risk Factors (5)
Details
Page Title
Mon compte, Espace Client forfaits mobiles, cles 4G+, cartes, Bbox et Pro - Bouygues Telecom
Scan Type
public
Domain Name Analysis
The domain name 'nhysoupa.vercel.app' uses the application-focused generic top-level domain (.app), featuring subdomain 'nhysoupa'. The second-level label 'vercel' is 6 characters long holding two vowels versus 4 consonants. Tokenizing the label suggests two words: ver, cel. Median word length comes out to 3 characters. No strong language cues emerged from the frequency lists.
Screenshot

Page Load Overview
Language Analysis
Primary Language
Detection Details
Website Classification
Primary Category
All Detected Categories
Detected Features
Domain & IP Information
| Requests | IP Address | Location | AS Autonomous System |
|---|---|---|---|
| 7 | 216.198.79.195Aws · CLOUD | United States | AS16509Amazon.com, Inc. |
| 7 | 103.110.66.40 | Stockholm, Stockholm County, Sweden | AS26383Baxet Group Inc. |
| 7 | 23.45.238.43Akamai · CDN | Frankfurt am Main, Hesse, Germany | AS16625Akamai Technologies, Inc. |
| 21 | 3 | - | - |
Detected Technologies4
Content Similarity HashesFor malware variant detection
TLSH (Trend Micro Locality Sensitive Hash)
Specialized for malware detection and similarity analysis
ssdeep (Context Triggered Piecewise Hashing)
Detects similar content even with modifications
sdhash (Similarity Digest Hashing)
High-precisionHigh-precision similarity detection for forensic analysis
These hashes enable detection of similar websites and malware variants by comparing content similarity even when exact matches aren't found.
Image Hashes
Perceptual Hashes
Other Hashes
Scan History
Scan history not available
Unable to load historical scan data