Security Scan Report: fi.hotels.com

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Submitted: Jun 20, 2026, 3:36:07 AMCompleted: Jun 20, 2026, 3:37:16 AMpubliccompleted
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Summary

This website contacted 5 IPs in 2 countries across 5 domains to perform 2 HTTP transactions. The main domain is fi.hotels.com and was registered NaN years ago.

Submitted URL: https://fi.hotels.com/go/usa/san-francisco

The Cisco Umbrella rank of the primary domain is #22,050 of the top 1 million websites

AI Security Verdict

Safe Website

Confidence: 95%

0
Risk Score

AI analysis skipped: Low-risk scan (score=23) on well-ranked domain #22,050.

Safety Factors
Well-established domain (ranked #22,050)
No forms or interactive credential elements
No IoC, YARA, or IDS alerts
Domain age information unavailable

Details

Bot Protection Detected

This website is protected by datadome bot protection. Our scanner was challenged or blocked during access.

Page Title

Oletko botti vai ihminen?

Scan Type

public

Language

🇫🇮

Finnish

(62% confidence)

Category

documentation technical

(38%)

Domain Information

The domain name 'fi.hotels.com' uses the commercial generic top-level domain (.com), featuring subdomain 'fi'. The core label 'hotels' covers 6 characters containing two vowels alongside four consonants. Segmentation suggests 1 word: hotels. Expect six characters per word on average. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://fi.hotels.com/go/usa/san-francisco

Page Load Overview

1.75s
Total Load Time
36
HTTP Requests
4
Domains
689 KB
Total Size

Language Analysis

Primary Language

🇫🇮Finnish
Code: fi
Confidence:62%
Script:Latin
Direction:ltr

Detection Details

Language Code:fi
Detection Confidence:62%
Script Type:Latin
Text Length:142 chars
Detector Agreement:100%

Website Classification

Primary Category

documentation technical38% confidence
Type: dynamic
Method: ml+structural+ocr_tiebreaker

All Detected Categories

documentation technical
38%
technology software
36%

Detected Features

No structural features detected

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
823.222.81.207Hamburg, Free and Hanseatic City of Hamburg, Germany
AS16625Akamai Technologies, Inc.
792.123.104.22Frankfurt am Main, Hesse, Germany
AS20940Akamai International B.V.
734.149.250.58Kansas City, Missouri, United States
AS396982Google LLC
72.16.204.153Hamburg, Free and Hanseatic City of Hamburg, Germany
AS20940Akamai International B.V.
72.16.204.143Hamburg, Free and Hanseatic City of Hamburg, Germany
AS20940Akamai International B.V.
365--

Detected Technologies7

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T171C3E7296D5C38B66A7321BFD069C96BB72C0083643C3EF1362EC99CF1C939549669C7

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

1536:ZwIfrIXQJmBLqoHmYJ58Zt4Ss1VI1MlfiCl90Qxq7uth+pWRtX:zQI47X

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:121100:C+KsgVR0cSkzAAIiswiAEEQoSEUkGR5jNgJuSURBQAAEUCJiIJAAREjIhMQxyxREBgMdCgXEh5dAWQvB+OhSZiQMRkQHgCOY

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:00ffe7e7e7ffffff
Perceptual Hash:b3734c5c734c4c66
Difference Hash:0c080c0c0c000808
Wavelet Hash:00672727e7e7e700
Color Hash:#1f8693

Other Hashes

Scan History

Scan history not available

Unable to load historical scan data