Security Scan Report: cambridgejetbooking.shop

Redirected to: https://www.privatejetfinder.com/

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Submitted: Jan 31, 2026, 3:47:11 PMCompleted: Jan 31, 2026, 3:48:15 PMpubliccompleted
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Summary

This website contacted 18 IPs in 3 countries across 17 domains to perform 176 HTTP transactions. The main domain is privatejetfinder.com and was registered NaN years ago.

Submitted URL: https://cambridgejetbooking.shop/booking.php?id=cambridgejetbooking.shop?=CapeTownLondon20260128

Effective URL: https://www.privatejetfinder.com/Redirected

AI Security Verdict

Low Risk

Confidence: 78%

3
Risk Score

Site shows a suspicious password‑only form but otherwise appears legitimate; avoid entering credentials unless verified.

Risk Factors
Password field without username (potential credential harvesting)
Unranked in Cisco Umbrella top 1M (low reputation for the initial domain)
Safety Factors
No malicious Indicators of Compromise matches found
Domain registration date indicates long‑standing ownership
Meta tags align with the final destination brand
No payment or credit‑card fields present
Domain age information unavailable

Details

Page Title

Private jet charter: private flights,international private jet broker.

Scan Type

public

Language

🇺🇸

English

(80% confidence)

Category

adult content

(53%)

Domain Information

The domain 'cambridgejetbooking.shop' uses the commerce-oriented generic top-level domain (.shop) and has no subdomain. The core label 'cambridgejetbooking' covers 19 characters with seven vowels and 12 consonants. Segmentation suggests 3 words: cambridge, jet, booking. Median word length is 7 characters. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://cambridgejetbooking.shop/booking.php?id=cambridgejetbooking.shop?=CapeTownLondon20260128

Page Load Overview

4.25s
Total Load Time
176
HTTP Requests
17
Domains
9.6 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:16,644 chars
Detector Agreement:80%

Website Classification

Primary Category

adult content53% confidence
Type: spa
Method: ml+structural

All Detected Categories

adult content
53%
travel tourism
30%

Detected Features

No structural features detected

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
2352.242.103.142Boydton, Virginia, United States
AS8075Microsoft Corporation
9142.251.127.106United States
AS15169Google LLC
995.217.228.190Helsinki, Uusimaa, Finland
AS24940Hetzner Online GmbH
9142.251.141.67United States
AS15169Google LLC
9142.251.127.104United States
AS15169Google LLC
9150.171.27.10United States
AS8075Microsoft Corporation
920.250.198.32Zurich, Zurich, Switzerland
AS8075Microsoft Corporation
913.107.246.44United States
AS8075Microsoft Corporation
9142.251.127.155United States
AS15169Google LLC
9216.239.34.36United States
AS15169Google LLC
17618--

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T1A583322228D0D82380CF85D5A5361B2B55F6830AC51699DCFDEC87FA0BEBC6DC63B549

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

768:dtlhczw7BSmIkj/taYmebQX0hmm3FVDVbRdL+zwVhBptJq:dtlhczhmIkjFXme46pfDVbRdC

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:86965:cOMc4urJDDtQGECEMCIBKTEBuQiIQCEcACvAIgGIBIHUWkIgDdCsVC6ABkMIAlQPidAw0NCQAaDMO8QUkht+oHCAGEBgUAJw

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:00ffff430039ffff
Perceptual Hash:8c36d74b30693d36
Difference Hash:d56526b7a5f36b64
Wavelet Hash:00ffbf000018fbff
Color Hash:#40bf84

Scan History

Scan history not available

Unable to load historical scan data