Security Scan Report: refunds.vercel.app

Redirected to:
https://refunds.vercel.app/PortailAS/appmanager/nrgwm_cwe6zx0e4_/assur...
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Submitted: Completed: publiccompleted
This website contacted 4 IPs in 1 country across 2 domains to perform 19 HTTP transactions. The main domain is vercel.app and was registered 6 years ago.

Submitted URL: https://refunds.vercel.app/

Effective URL:
https://refunds.vercel.app/PortailAS/appmanager/nrgwm_cwe6zx0e4_/assur...
Redirected

AI Security Verdict

Confirmed Scam

Confidence: 92%

9
Risk Score

Fake 'Compte ameli' reimbursement portal on a vercel.app subdomain impersonating French health insurance, harvesting name, DOB, postal code, phone and a password; phishing threat intel confirms.

Risk Factors (5)
Brand impersonation of Ameli / Assurance Maladie on a non-official, free hosting subdomain
Data-harvesting form collecting identity data (name, DOB, postal code, phone) with a password field
Phishing threat-intelligence match on the primary domain
Cross-origin fetch to an unrelated, unranked pythonanywhere host
Unknown subdomain creation date on a shared hosting platform abused by threat actors
Domain age information unavailable

Details

Page Title

Compte ameli - mon espace personnel

Scan Type

public

Domain Name Analysis

The domain name 'refunds.vercel.app' uses the application-focused generic top-level domain (.app); it also runs on subdomain 'refunds'. The registrable portion 'vercel' spans 6 characters with two vowels and 4 consonants. It segments into two words: ver, cel. The median word length lands at three characters. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://refunds.vercel.app/

Page Load Overview

0.53s
Total Load Time
131 KB
Total Size

Language Analysis

Primary Language

🇫🇷French
Code: fr
Confidence:80%
Script:Latin
Direction:ltr

Detection Details

HTML Lang Attribute:fr
Text Length:447 chars
Detector Agreement:100%

Website Classification

Primary Category

healthcare medical89% confidence
Type: static
Method: ml+structural

All Detected Categories

healthcare medical
89%

Detected Features

No structural features detected

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
764.29.17.3Aws · CLOUDUnited States
AS16509Amazon.com, Inc.
464.29.17.195Aws · CLOUDUnited States
AS16509Amazon.com, Inc.
4216.198.79.195Aws · CLOUDUnited States
AS16509Amazon.com, Inc.
435.173.69.207Aws · CLOUDAshburn, Virginia, United States
AS14618Amazon.com, Inc.
194--

Detected Technologies2

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T1DC514E7698A0A43747375CCDFE41570E58E6C21DD26A2A81A3EC4BE92FF1C80EB150C9

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

48:H+1HWj6ohLlsHHSNsekZkvkfWvkA6AvkyypvkTiNSxYS4rCz9:Hzj6ohSnVekZmkfEkAFkyQkTiN3RrCz9

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:2722:DYCEACACAAFABAABACIACQkAAlBAAADAACAAACCEEACAEIDAEhAgAACgAAACAAAgAgiAAggAABYACIFJBABDiAiAAgBEABIQ

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

Average Hash:00ffffffe7ff0000
Perceptual Hash:b8bc19016f0c8d7f
Difference Hash:3338252b0fc0e929
Wavelet Hash:00c3dfdfe70000ff
Color Hash:#d279a7

Scan History

Scan history not available

Unable to load historical scan data