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Security Scan Report: guestservice.scandichotels.com

Redirected to: https://www.easyguest.dk/

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Submitted: Dec 4, 2025, 4:49:11 PMCompleted: Dec 4, 2025, 4:51:43 PMpubliccompleted
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Summary

This website contacted 31 IPs in 1 country across 9 domains to perform 203 HTTP transactions. The main domain is easyguest.dk and was registered NaN years ago.

Submitted URL: https://guestservice.scandichotels.com/

Effective URL: https://www.easyguest.dk/Redirected

The Cisco Umbrella rank of the primary domain is #410,264 of the top 1 million websites

AI Security Verdict

Safe Website

Confidence: 92%

0
Risk Score

The site appears legitimate with no security concerns.

Safety Factors
Established domain age
Clear contact details and legal registration (CVR)
No suspicious redirects beyond a single legitimate redirect
Absence of password or payment fields
No malicious Indicators of Compromise detected
Domain age information unavailable

Details

Page Title

Easyguest | Digital Welcome Book | Denmark

Scan Type

public

Language

🇺🇸

English

(80% confidence)

Category

documentation technical

(29%)

Domain Information

The domain name 'guestservice.scandichotels.com' uses the commercial generic top-level domain (.com) and includes subdomain 'guestservice'. The second-level label 'scandichotels' is 13 characters long split between four vowels and nine consonants. Splitting it apart reveals 4 words: s, can, dic, hotels. Average segment length settles at 3 characters. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://guestservice.scandichotels.com/

Page Load Overview

1.29s
Total Load Time
203
HTTP Requests
9
Domains
1.4 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:1,538 chars
Detector Agreement:100%

Website Classification

Primary Category

documentation technical29% confidence
Type: static
Method: ml+structural

All Detected Categories

documentation technical
29%
corporate business
26%
corporate
25%

Detected Features

OG: website

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
10434.49.229.81Kansas City, Missouri, United States
AS396982GOOGLE-CLOUD-PLATFORM
4565.8.131.77United States
AS16509AMAZON-02
2365.8.131.76United States
AS16509AMAZON-02
954.204.83.201Ashburn, Virginia, United States
AS14618AMAZON-AES
652.86.41.132Ashburn, Virginia, United States
AS14618AMAZON-AES
6151.101.194.217San Francisco, California, United States
AS54113FASTLY
63.221.75.61Ashburn, Virginia, United States
AS14618AMAZON-AES
665.8.131.55United States
AS16509AMAZON-02
63.83.59.86Ashburn, Virginia, United States
AS14618AMAZON-AES
665.8.131.125United States
AS16509AMAZON-02
20331--

Detected Technologies2

HTTP/3
40%
Firebase
40%

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T1FF93F8A2E99D0C6E351344C5E5BA535BB0C3E429DBAF447099E807B557C3FF6230BA0A

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

1536:+7sdEA2LYaeeweAQD/8eev4lrZdD0tT0tsHZreeueexeeEeeUeeJee7FL9uePeNH:+XqPBiBN3m3D

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:89775:FpmZMhYdEAPJ4AQcXTg0AiABgjFpgBAEMSAiFYJQVkkCCBiGIJkyGYiQDOByUwAAYYiHII4CpAwwI3wuOhAGkMEJPopwSCRA

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:ffede02180c040ff
Perceptual Hash:f20f955c8e18e55a
Difference Hash:6cc989c90d939989
Wavelet Hash:ffebe12180c040ff
Color Hash:#40bf75

Other Hashes

Crop Resistant:6cc989c90d939989,64c889c92d829999

Scan History

Scan history not available

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