Security Scan Report: vatexayvopays.pages.dev

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Submitted: May 8, 2026, 12:18:29 PMCompleted: May 8, 2026, 12:19:51 PMpubliccompleted
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Summary

This website contacted 7 IPs in 2 countries across 7 domains to perform 45 HTTP transactions. The main domain is vatexayvopays.pages.dev and was registered NaN years ago.

Submitted URL: https://vatexayvopays.pages.dev/

AI Security Verdict

Moderate Risk

Confidence: 78%

5
Risk Score

The site hosts a credential‑collecting login form on an unknown, unranked subdomain that falsely claims the VANTEX brand, indicating a high‑risk phishing attempt.

Risk Factors
Unknown subdomain creation date (potentially new)
Unranked domain reputation
Brand claim mismatch (brand name does not match domain)
Credential login form on non‑official domain
Safety Factors
No JavaScript malware YARA matches
No credential exfiltration detected
No network IDS alerts
No external malicious IoC matches
Established domain (2074 days old) with no strong malicious indicators — risk clamped from 8 to 5
Domain age information unavailable

Details

Page Title

VANTEX - Système de Paiement

Scan Type

public

Language

🇫🇷

French

(80% confidence)

Category

finance banking

(97%)

Domain Information

The domain name 'vatexayvopays.pages.dev' uses the developer-focused generic top-level domain (.dev) with subdomain 'vatexayvopays'. The core label 'pages' covers 5 characters with two vowels and 3 consonants. Tokenizing the label suggests 1 word: pages. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://vatexayvopays.pages.dev/

Page Load Overview

1.11s
Total Load Time
9
HTTP Requests
6
Domains
202 KB
Total Size

Language Analysis

Primary Language

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

Detection Details

Language Code:fr
Detection Confidence:80%
Script Type:Latin
HTML Lang Attribute:fr
Text Length:11,356 chars
Detector Agreement:100%

Website Classification

Primary Category

finance banking97% confidence
Type: webapp
Method: ml+structural

All Detected Categories

finance banking
97%
technology software
43%
government public service
37%
adult content
35%

Detected Features

No structural features detected

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
3104.17.208.5United States
AS13335Cloudflare, Inc.
1142.251.20.94United States
AS15169Google LLC
1185.15.59.240United States
AS14907Wikimedia Foundation Inc.
1142.251.127.95United States
AS15169Google LLC
1146.75.122.208Frankfurt am Main, Hesse, Germany
AS54113Fastly, Inc.
1142.250.154.95United States
AS15169Google LLC
1172.66.47.160United States
AS13335Cloudflare, Inc.
97--

Detected Technologies3

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T147457D3161E6002877639476B7A74A4F3C70D103E50B8A58BBDC12E1AFD69D6CA3B6DC

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

12288:f1jmHFYE1SGULnFGy7uQZQxEI6FgRc0UK2n7NUKYxMYGKcM9ZNRLQW75SZhJAW2d:fZnFGFEI8gRiJKTzNRALAW2d

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:1191359:QQhxAEAGkihIKCoWlYoFUEADoMlkikhQqFeiq8QCHIFyCYQoHTSLGuyAApQDRIqKKACMIAGDAwMU4haEDCRSkFBELCIVQeGA

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:1c0c1e1e1a180000
Perceptual Hash:9d986263890d9f9d
Difference Hash:f8bc30b2b2f2cac3
Wavelet Hash:7fde1e1f1e3a0060
Color Hash:#2dd272

Other Hashes

Scan History

Scan history not available

Unable to load historical scan data