Security Scan Report: so-hotels.com

Submitted: Dec 24, 2025, 6:22:14 PMCompleted: Dec 24, 2025, 6:42:30 PMpubliccompleted
Loading additional data...

Summary

This website contacted 27 IPs in 4 countries across 19 domains to perform 187 HTTP transactions. The main domain is so-hotels.com and was registered NaN years ago.

Submitted URL: https://so-hotels.com/en/maldives/

The Cisco Umbrella rank of the primary domain is #855,783 of the top 1 million websites

AI Security Verdict

High Risk

Confidence: 92%

9
Risk Score

Site mimics SO/ Hotels and harvests credentials via hidden/disguised password fields – high‑risk phishing.

Risk Factors
Brand impersonation on a low‑ranking domain
Credential‑harvesting password fields (including disguised and hidden)
Low Cisco Umbrella ranking for a brand‑claiming site
Domain age information unavailable

Details

Page Title

SO/ Maldives | A Luxury 5-Star Private Island Resort

Scan Type

public

Language

🇺🇸

English

(80% confidence)

Category

adult content

(47%)

Domain Information

The domain 'so-hotels.com' uses the commercial generic top-level domain (.com) without a subdomain. The registrable portion 'so-hotels' spans 9 characters with 3 vowels and five consonants, notching 1 hyphen. It segments into two words: so, hotels. The median word length lands at four characters. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://so-hotels.com/en/maldives/

Page Load Overview

60.08s
Total Load Time
187
HTTP Requests
19
Domains
18.1 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:15,676 chars
Detector Agreement:100%

Website Classification

Primary Category

adult content47% confidence
Type: spa
Method: ml+structural

All Detected Categories

adult content
47%
travel tourism
32%
news/blog
20%

Detected Features

Search
OG: article
Schema.org

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
31192.0.76.3San Francisco, California, United States
AS2635AUTOMATTIC
6108.156.24.40United States
AS16509AMAZON-02
6165.232.170.161Singapore, Singapore
AS14061DIGITALOCEAN-ASN
6216.58.209.168United States
AS15169GOOGLE
6104.26.12.19United States
AS13335CLOUDFLARENET
63.174.113.105United States
AS16509AMAZON-02
63.174.113.113United States
AS16509AMAZON-02
63.174.113.35United States
AS16509AMAZON-02
6104.18.86.42United States
AS13335CLOUDFLARENET
6104.18.87.42United States
AS13335CLOUDFLARENET
18727--

Detected Technologies5

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T15474B711B980583FC29797D8F564BB2B32A1B256C6C105C5B1F4E3B64FF2F60AC622E5

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

6144:etARS/rUVO6oy1Nt7lGC4JTBIL7Rp/MgU0E+e:rS/rUVO6oy1Nt7lGC4JTBIL7M

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:342639:169oQDEWQxyUghZDIJRBgIojpEYEOhCQAawASAMABSIcRtxFEUo1gAeOIEmhEBBUQJ8wo0gCYKofc5FgKIAIKBHtqjAogwAW

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:cfcfc1f19191ffff
Perceptual Hash:e971931e4cc83eb1
Difference Hash:9b1b9323332771c8
Wavelet Hash:cd81c1918191bdff
Color Hash:#3e2d86

Scan History

Scan history not available

Unable to load historical scan data