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Security Scan Report: supersonicjetbookingservices.shop

Redirected to: https://villiers.ai/ar

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Submitted: Feb 7, 2026, 10:40:11 PMCompleted: Feb 7, 2026, 10:42:40 PMpubliccompleted
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Summary

This website contacted 5 IPs in 2 countries across 4 domains to perform 345 HTTP transactions. The main domain is villiers.ai and was registered NaN years ago.

Submitted URL: https://supersonicjetbookingservices.shop/booking.php?id=supersonicjetbookingservices.shop?=LutonAmsterdam20260208

Effective URL: https://villiers.ai/arRedirected

AI Security Verdict

High Risk

Confidence: 88%

7
Risk Score

Brand impersonation with redirect; treat as high‑risk phishing site.

Risk Factors
Brand impersonation (meta tags claim Villiers on unrelated domain)
New, unranked domain (<12 months old)
Redirect from unrelated domain to official brand site
Form collecting email on a brand‑impersonating page
Domain age information unavailable

Details

Page Title

تأجير الطائرات الخاصة | استئجار الطائرات حسب الطلب والرحلات الفاخرة | Villiers

Scan Type

public

Language

🇺🇸

English

(80% confidence)

Category

adult content

(57%)

Domain Information

Domain 'supersonicjetbookingservices.shop' uses the commerce-oriented generic top-level domain (.shop). The core label 'supersonicjetbookingservices' covers 28 characters with 11 vowels and 17 consonants. Breaking it apart gives four words: supersonic, jet, booking, services. Median word length comes out to 7.5 characters. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://supersonicjetbookingservices.shop/booking.php?id=supersonicjetbookingservices.shop?=LutonAmsterdam20260208

Page Load Overview

70.10s
Total Load Time
345
HTTP Requests
4
Domains
941 KB
Total Size

Language Analysis

Primary Language

🇺🇸English
Code: en
Confidence:80%
Script:Latin
Direction:ltr

Detection Details

Language Code:en
Detection Confidence:80%
Script Type:Latin
HTML Lang Attribute:en
Text Length:5,697 chars
Detector Agreement:60%

Website Classification

Primary Category

adult content57% confidence
Type: static
Method: ml+structural

All Detected Categories

adult content
57%
government public service
53%
documentation technical
51%
blog personal website
49%
cryptocurrency blockchain
48%

Detected Features

OG: website

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
69216.150.1.1United States
AS16509Amazon.com, Inc.
69172.67.182.129United States
AS13335Cloudflare, Inc.
69188.114.96.3United States
AS13335Cloudflare, Inc.
69104.21.51.159United States
AS13335Cloudflare, Inc.
6935.179.208.132City of London, England, United Kingdom
AS16509Amazon.com, Inc.
3455--

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T12634B77152400D3D955B83E9F664F37E81AA8389D61FA41DB2BC43D237CBC1E99325E8

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

1536:RN1tx1BnDL21tx1BnD8es9obpe9rFI7XyeyVz+99rWWWWWAZiPi/ibTBIA5GNLl6:R7bQPpnpZiPi/ip

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:236095:VMOOwmSJI4ABCjrkhg05QCg1BA0EQOPwDkIQIEFWkZBwgA5gGJFKJAkACAFgcIXFgSAKAo8WQwhOGIXJH0WBAhQEgAEJNoBQ

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:e0f17c00c3e7ffff
Perceptual Hash:ea48c1f53e0bc3f0
Difference Hash:0101c0710f8d0109
Wavelet Hash:c0e0700081e7ffff
Color Hash:#3e3a78

Other Hashes

Crop Resistant:b3b3b0b5b4b4b4b3,0002c0710f8c0008

Scan History

Scan history not available

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