Security Scan Report: theglobetrotters.de

Redirected to:
https://www.theglobetrotters.de/
Site favicon
Submitted: Completed: publiccompleted
This website contacted 20 IPs in 2 countries across 14 domains to perform 67 HTTP transactions. The main domain is theglobetrotters.de and was registered 7 years ago.

Submitted URL: https://theglobetrotters.de

Effective URL:
https://www.theglobetrotters.de/
Redirected

AI Security Verdict

Confirmed Scam

Confidence: 95%

9
Risk Score

Legitimate travel blog that has been compromised and now serves an IClickFix/EtherHiding ClickFix malware loader (Ethereum Sepolia dead-drop) via obfuscated JavaScript. Avoid interacting; do not run the page's scripts.

Risk Factors (5)
Injected ClickFix/EtherHiding loader on a compromised legitimate site
Obfuscated JavaScript with a blockchain-based dead-drop resolver and network sink
Multiple CRITICAL malware IDS alerts tied to ClickFix/EtherHiding infrastructure
Content-malware threat-intel matches on the primary domain and loaded third-party hosts
Malicious third-party script hosts linked to exploitation-kit activity (zvh3.com)
Domain age information unavailable

Details

Page Title

TheGlobetrotters.de

Scan Type

public

Domain Name Analysis

The domain name 'theglobetrotters.de' uses the German country-code top-level domain (.de) with no subdomain. The registrable portion 'theglobetrotters' spans 16 characters containing five vowels alongside eleven consonants. Segmentation suggests two words: the, globetrotters. The median word length lands at 8 characters. No strong language cues emerged from the frequency lists.

Screenshot

Home Travels Map of Activities Startseite [eanse 1) Last Posts Übersicht Best pies Un Archiv Februar 2025 Januar Oktober Dezember 2016 pril 2015 Marz 2015 Oktober Januar 2013 RUBTOWN - News...

Page Load Overview

3.06s
Total Load Time
1.6 MB
Total Size

Language Analysis

Primary Language

🇩🇪German
Code: de
Confidence:80%
Script:Latin
Direction:ltr

Detection Details

HTML Lang Attribute:de
Text Length:6,007 chars
Detector Agreement:67%

Website Classification

Primary Category

travel tourism34% confidence
Type: spa
Method: ml+structural

All Detected Categories

travel tourism
34%
adult content
30%
forum
25%
corporate
25%
news/blog
20%

Detected Features

Search
Articles
Comments
OG: website

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
10213.160.71.102Germany
AS12574Hosting.de GmbH
3172.67.165.144Cloudflare · WAFUnited States
AS13335Cloudflare, Inc.
3192.0.76.3San Francisco, California, United States
AS2635Automattic, Inc
3142.250.154.100Google · CDNUnited States
AS15169Google LLC
3142.251.151.119Google · CDNUnited States
AS15169Google LLC
3142.251.127.113Google · CDNUnited States
AS15169Google LLC
3192.0.77.48San Francisco, California, United States
AS2635Automattic, Inc
3142.251.110.97Google · CDNUnited States
AS15169Google LLC
3188.114.97.9Cloudflare · WAFUnited States
AS13335Cloudflare, Inc.
3216.239.32.36Google · CDNUnited States
AS15169Google LLC
6720--

Detected Technologies13

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T10DC3F9F39085006BB70793CE76A4B72EBB934506C9071577B3FD136C6B82EB5B48261A

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

3072:jVeumbDm1AqjdeWm9wvPoyDZA5Sfg0UaP60Ua3:jnIQVH

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:126075:YIkA4IA2cXpqIEzEBRcAISQUBgyuFkowJAwKmgaGJUIMgesGAGJEwOJoKTEAAhASGMlENIcAEIISEqAFbaJ00kiQqIonA2Co

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:00003c3c3e3e3e3c
Perceptual Hash:9269696e93969396
Difference Hash:f9d1dcfcf4e4f4dc
Wavelet Hash:08003c3e7e3e3e7e
Color Hash:N/A

Scan History

Scan history not available

Unable to load historical scan data