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Security Scan Report: privatejetbookingdirect.shop

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

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Submitted: Feb 4, 2026, 7:40:57 AMCompleted: Feb 4, 2026, 7:43:18 AMpubliccompleted
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Summary

This website contacted 5 IPs in 2 countries across 4 domains to perform 697 HTTP transactions. The main domain is villiers.ai and was registered NaN years ago.

Submitted URL: https://privatejetbookingdirect.shop/booking.php?id=privatejetbookingdirect.shop?=CopenhagenWarsaw20260209

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

AI Security Verdict

Low Risk

Confidence: 88%

2
Risk Score

Low risk; appears to be a legitimate third‑party booking page for Villiers.

Safety Factors
No credential or payment collection fields
No malicious Indicators of Compromise detected
Meta tags and final destination consistently reference Villiers
Form appears to be a booking/contact inquiry
Domain age > 180 days
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 'privatejetbookingdirect.shop' uses the commerce-oriented generic top-level domain (.shop) with no subdomain. The core label 'privatejetbookingdirect' covers 23 characters containing nine vowels alongside 14 consonants. Splitting it apart reveals four words: private, jet, booking, direct. Expect 6.5 characters per word on average. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://privatejetbookingdirect.shop/booking.php?id=privatejetbookingdirect.shop?=CopenhagenWarsaw20260209

Page Load Overview

32.17s
Total Load Time
697
HTTP Requests
4
Domains
907 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:5,971 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
55%
documentation technical
52%
corporate business
52%
cryptocurrency blockchain
49%

Detected Features

OG: website

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
14135.179.208.132City of London, England, United Kingdom
AS16509Amazon.com, Inc.
139104.21.51.159United States
AS13335Cloudflare, Inc.
139188.114.97.4United States
AS13335Cloudflare, Inc.
139172.67.182.129United States
AS13335Cloudflare, Inc.
139216.150.1.1United States
AS16509Amazon.com, Inc.
6975--

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T1A144B83152401D3D946F83D9F664F77E80AA8389D71FA51CB2B843D227CBC1DAA725B8

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

1536:CNLvnvLtVGALvnvLtV6fr4fPoktKC35vioSjwj991o8o8oAZiPi/ifTBIA5GNLlk:C0InFZiPi/iR

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:257227:UoK5IAjgBGayJPSAADNEWY1FIxGoInWgjYhEABHvCkASQCiAAAAFwGglFEIBEAJnICILQoj1MyQEd4EpgI3oZEkpGCVagBKa

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:ea48c1f53e0ac3f4
Difference Hash:0101c0710f8d0109
Wavelet Hash:c0e0700081e7ffff
Color Hash:#4073bf

Other Hashes

Crop Resistant:b3b7b0b5b4b4b4b3,0002c0710f8c0008

Scan History

Scan history not available

Unable to load historical scan data