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Security Scan Report: elitejetbookingnetwork.shop

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

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Submitted: Feb 8, 2026, 6:15:14 PMCompleted: Feb 8, 2026, 6:17:29 PMpubliccompleted
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Summary

This website contacted 5 IPs in 2 countries across 4 domains to perform 419 HTTP transactions. The main domain is villiers.ai and was registered NaN years ago.

Submitted URL: https://elitejetbookingnetwork.shop/booking.php?id=elitejetbookingnetwork.shop?=AmsterdamMallorca20260205

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

AI Security Verdict

Low Risk

Confidence: 92%

2
Risk Score

Low‑risk booking page; safe to interact but verify legitimacy if providing personal data.

Safety Factors
Final URL (villiers.ai) aligns with the brand mentioned in meta tags
Form contains only an email field, typical for booking/contact, not credential harvesting
Absence of password or payment fields
No malicious Indicators of Compromise detected
Meta tags are consistent with the destination domain
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

(56%)

Domain Information

The domain name 'elitejetbookingnetwork.shop' uses the commerce-oriented generic top-level domain (.shop) with no subdomain. The second-level label 'elitejetbookingnetwork' is 22 characters long with nine vowels and 13 consonants. Splitting it apart reveals 4 words: elite, jet, booking, network. Median word length comes out to 6 characters. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://elitejetbookingnetwork.shop/booking.php?id=elitejetbookingnetwork.shop?=AmsterdamMallorca20260205

Page Load Overview

55.94s
Total Load Time
419
HTTP Requests
4
Domains
889 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:5,817 chars
Detector Agreement:60%

Website Classification

Primary Category

adult content56% confidence
Type: static
Method: ml+structural

All Detected Categories

adult content
56%
government public service
56%
documentation technical
51%
cryptocurrency blockchain
50%
blog personal website
50%

Detected Features

OG: website

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
87104.21.51.159United States
AS13335Cloudflare, Inc.
83172.67.182.129United States
AS13335Cloudflare, Inc.
83216.150.1.1United States
AS16509Amazon.com, Inc.
8335.179.208.132City of London, England, United Kingdom
AS16509Amazon.com, Inc.
83104.21.76.158United States
AS13335Cloudflare, Inc.
4195--

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T1C634A63152440D3DA55F87D9F664F77E80AA8389D71F941CB2BC03A227CBC1EA9735A8

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

1536:kos/PTXH9BGxJK5qL16pEkzumVhU9vF7e799ZgkgkgkZiPi/iiGVBZ3pUMbvYVqb:kUzoEtIVn9ZiPi/iN

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:244493:OA+SSFJANOVCFBCgRUZxhSkARQFAiCnCQg1HBEwJkKKLZfFQhEOqMIrEQFAmABDwQYYPGAJoqFAeMIHkoG7KgS0kQAuMYCjG

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:#40bf7b

Other Hashes

Crop Resistant:b3b3b0b5b4b4b4b3,000040710f4c0008

Scan History

Scan history not available

Unable to load historical scan data