Security Scan Report: privatejetbookingdirect.shop

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

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Submitted: Feb 7, 2026, 5:58:25 PMCompleted: Feb 7, 2026, 6:02:52 PMpubliccompleted
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Summary

This website contacted 0 IPs in 0 countries across 4 domains to perform 438 HTTP transactions. The main domain is villiers.ai and was registered NaN years ago.

Submitted URL: https://privatejetbookingdirect.shop/booking.php?id=privatejetbookingdirect.shop?=AmsterdamMallorca20260723

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

AI Security Verdict

Low Risk

Confidence: 78%

2
Risk Score

Redirects to the official Villiers site; low risk with no credential or payment collection.

Safety Factors
Final URL domain (villiers.ai) aligns with brand claimed in meta tags
No credential or payment collection fields
No known malicious Indicators of Compromise
No suspicious JavaScript or hidden password fields
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) without a subdomain. The core label 'privatejetbookingdirect' covers 23 characters containing 9 vowels alongside 14 consonants. It segments into 4 words: private, jet, booking, direct. Median word length is 6.5 characters. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://privatejetbookingdirect.shop/booking.php?id=privatejetbookingdirect.shop?=AmsterdamMallorca20260723

Page Load Overview

1.85s
Total Load Time
438
HTTP Requests
4
Domains
1.0 MB
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:5,621 chars
Detector Agreement:60%

Website Classification

Primary Category

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

All Detected Categories

adult content
56%
documentation technical
51%
government public service
51%
blog personal website
48%
travel tourism
47%

Detected Features

OG: website

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T18434B7715240093D955B83D9F6A0F37E81AA8389D61FA41DB2BC43D237CBC1E99736E8

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

1536:9N1tx1BnDx21tx1BnD8YLGk/ZS1nRzMJiW+dP89VgWWWWWAZiPi/iD3dAJVMgz5e:9781cmLYZiPi/id

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:235846:EMMxIXy6FgBEDICI8CYACqIRWSigqJYfB2aQCGHRAQIMQtEApgKVDCMOdMVACAjJJQoSLAAEcBAOQ0NZVB0UKAgAVcFPBBBM

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:e0f07c00c1e7ffff
Perceptual Hash:ea4dc1743e0bc3f0
Difference Hash:0101c0710f4d0109
Wavelet Hash:c0e06000c1e7ffff
Color Hash:#1f934a

Other Hashes

Scan History

Scan history not available

Unable to load historical scan data