Security Scan Report: www.thehotelsnetwork.com

Redirected to: https://www.thehotelsnetwork.com/en/

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Submitted: Nov 27, 2025, 1:16:31 AMCompleted: Nov 27, 2025, 1:20:11 AMpubliccompleted
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Summary

This website contacted 38 IPs in 2 countries across 14 domains to perform 224 HTTP transactions. The main domain is thehotelsnetwork.com and was registered NaN years ago.

Submitted URL: https://www.thehotelsnetwork.com/

Effective URL: https://www.thehotelsnetwork.com/en/Redirected

The Cisco Umbrella rank of the primary domain is #43,220 of the top 1 million websites

AI Security Verdict

Safe Website

Confidence: 95%

1
Risk Score

The site appears legitimate with no observable security threats.

Safety Factors
Established domain with minimal risk category
No credential‑harvesting or payment collection forms
No known malicious Indicators of Compromise
Domain age information unavailable

Details

Page Title

The Hotels Network

Scan Type

public

Language

🇺🇸

English

(80% confidence)

Category

forum

(50%)

Domain Information

The domain 'www.thehotelsnetwork.com' uses the commercial generic top-level domain (.com); it also runs on subdomain 'www'. Count 16 characters in 'thehotelsnetwork' split between 5 vowels and 11 consonants. Breaking it apart gives three words: the, hotels, network. Median word length comes out to 6 characters. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://www.thehotelsnetwork.com/

Page Load Overview

1.51s
Total Load Time
224
HTTP Requests
14
Domains
3.9 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-GB
Text Length:24,927 chars
Detector Agreement:100%

Website Classification

Primary Category

forum50% confidence
Type: spa
Method: structural

All Detected Categories

forum
50%

Detected Features

Comments

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
1763.161.82.26United States
AS16509AMAZON-02
3923.36.162.211Frankfurt am Main, Hesse, Germany
AS20940Akamai International B.V.
13142.250.184.228United States
AS15169GOOGLE
10142.250.186.67United States
AS15169GOOGLE
53.161.82.117United States
AS16509AMAZON-02
53.161.82.59United States
AS16509AMAZON-02
5216.239.32.36United States
AS15169GOOGLE
5142.250.185.131United States
AS15169GOOGLE
5104.16.6.65United States
AS13335CLOUDFLARENET
5104.18.80.204United States
AS13335CLOUDFLARENET
22438--

Detected Technologies1

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T14D045D1AF7241636078B42C126697F42B396D34EE7190AE1BCAC437813C6E7E97376C9

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

3072:5yGp303+RwOPzIr0tEXpnp2K4lrJyH25CgRno:5yGE+6LnQKR25C5

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:182340:gAIQAaBApCgyDIJoQACQCKV0WYESlADSEpwAQPgK2pCFsBElNtxflX4goCCAgIMWIsgYCZiBdAEBZABAhUBRYDEEkSAAIADI

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:ff00000f1cfcff1c
Perceptual Hash:9a25a5d396a55a56
Difference Hash:c07d3d377979d8f9
Wavelet Hash:ff00000f1cfcff1c
Color Hash:#e07f6c

Scan History

Scan history not available

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