Security Scan Report: elitejetbooking.shop

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

Submitted: Feb 8, 2026, 12:06:54 AMCompleted: Feb 8, 2026, 12:08:42 AMpubliccompleted
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Summary

This website contacted 5 IPs in 2 countries across 4 domains to perform 343 HTTP transactions. The main domain is villiers.ai and was registered NaN years ago.

Submitted URL: https://elitejetbooking.shop/booking.php?id=elitejetbooking.shop?=RomeNewYorkNY20260205

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

AI Security Verdict

Low Risk

Confidence: 82%

3
Risk Score

Low risk: untrusted redirect domain but no credential or payment collection.

Risk Factors
Redirect from an untrusted, unranked domain to the brand site
Domain age less than 1 year
Domain not present in Cisco Umbrella top 1M
Safety Factors
No password fields present
No payment fields present
No malicious Indicators of Compromise matches found
Meta tags align with final destination domain
Form appears to be a simple email capture (likely booking inquiry)
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

The domain 'elitejetbooking.shop' uses the commerce-oriented generic top-level domain (.shop) and has no subdomain. The second-level label 'elitejetbooking' is 15 characters long split between seven vowels and eight consonants. Splitting it apart reveals 3 words: elite, jet, booking. Expect five characters per word on average. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://elitejetbooking.shop/booking.php?id=elitejetbooking.shop?=RomeNewYorkNY20260205

Page Load Overview

34.25s
Total Load Time
343
HTTP Requests
4
Domains
897 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:5,631 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
57%
cryptocurrency blockchain
55%
documentation technical
54%
travel tourism
53%

Detected Features

OG: website

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
68216.150.1.1United States
AS16509Amazon.com, Inc.
68172.67.182.129United States
AS13335Cloudflare, Inc.
68188.114.96.3United States
AS13335Cloudflare, Inc.
6835.179.208.132City of London, England, United Kingdom
AS16509Amazon.com, Inc.
68104.21.51.159United States
AS13335Cloudflare, Inc.
3435--

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T1D434B73152400D3D955B83E9F660F77E81AA8389D61FA41DB2BC43D237CBC1E99726E8

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

1536:0N1tx1BnDE21tx1BnDAYbMtKjPqPrIEkQpyKZ50995W6W6W8ZiPi/iqTZ73deoer:0GPiECnHZiPi/iN

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:239995:AEAAZXqrJIJKLE5CYUE8bPcwDDiARkjQAcBGAv1siLAACCVl/FATDC4JeDBUp4CIxICFloBoUACAIOq0VkkEFVichOCAcMju

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:c0e07800c1e7ffff
Perceptual Hash:ea5bc1603a1fc7e0
Difference Hash:010141710f4d0109
Wavelet Hash:c0e06000c1e7ffff
Color Hash:#7f79d2

Other Hashes

Scan History

Scan history not available

Unable to load historical scan data