Security Scan Report: boka.funasfjallen.se

Redirected to: https://boka.funasfjallen.se/sv/stays?gc-0-adults=2

Submitted: Nov 24, 2025, 3:13:55 AMCompleted: Nov 24, 2025, 3:17:56 AMpubliccompleted
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Summary

This website contacted 59 IPs in 5 countries across 19 domains to perform 103 HTTP transactions. The main domain is boka.funasfjallen.se and was registered NaN years ago.

Submitted URL: https://boka.funasfjallen.se/

Effective URL: https://boka.funasfjallen.se/sv/stays?gc-0-adults=2Redirected

AI Security Verdict

Safe Website

Confidence: 95%

0
Risk Score

Legitimate booking site with no security concerns

Safety Factors
Established domain age
No malicious Indicators of Compromise
No credential or payment collection
Site appears to be a legitimate tourism booking page
Domain age information unavailable

Details

Page Title

Stays | Funäsfjällen

Scan Type

public

Language

🇸🇪

Swedish

(80% confidence)

Category

travel tourism

(67%)

Domain Information

The domain 'boka.funasfjallen.se' uses the Swedish country-code top-level domain (.se) with subdomain 'boka'. The second-level label 'funasfjallen' is 12 characters long containing four vowels alongside 8 consonants. Segmentation suggests four words: fun, as, fj, allen. The median word length lands at 2.5 characters. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://boka.funasfjallen.se/

Page Load Overview

0.93s
Total Load Time
103
HTTP Requests
19
Domains
1.3 MB
Total Size

Language Analysis

Primary Language

🇸🇪Swedish
Code: sv
Confidence:80%
Script:Latin
Direction:ltr

Detection Details

Language Code:sv
Detection Confidence:80%
Script Type:Latin
HTML Lang Attribute:sv
Text Length:3,688 chars
Detector Agreement:100%

Website Classification

Primary Category

travel tourism67% confidence
Type: static
Method: ml+structural

All Detected Categories

travel tourism
67%
education learning
61%
adult content
32%

Detected Features

OG: Website

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
5020.93.169.54Amsterdam, North Holland, Netherlands
AS8075MICROSOFT-CORP-MSN-AS-BLOCK
16104.18.22.71United States
AS13335CLOUDFLARENET
9172.64.147.188United States
AS13335CLOUDFLARENET
3216.239.32.36United States
AS15169GOOGLE
3142.250.185.227United States
AS15169GOOGLE
3157.240.0.35Frankfurt am Main, Hesse, Germany
AS32934FACEBOOK
3142.250.186.136United States
AS15169GOOGLE
2142.250.184.228United States
AS15169GOOGLE
274.125.206.154United States
AS15169GOOGLE
2157.240.253.1Frankfurt am Main, Hesse, Germany
AS32934FACEBOOK
10359--

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T1B4C31CB17274A13A4123D3F9E538937760C3A1AAFB529245D3EC5B527EC3D922C12C9E

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

1536:SXYImxYYlCZbFx9DBUTTpyMjdBqFcndjSwHPAkexCudlamp:mlUTTIMjd969

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:120367:yRTQCRpBhGVjBDLSAkQTMBqdCDScYRqCkhRIGCoiohxggkABERAZBCQMIiBIWABLAitGQXEGSBMxoFE0AAhK6AhCJESIVAA0

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:004ff9f9fbfbfbf9
Perceptual Hash:cd33123d486e0a7f
Difference Hash:9398b383331212c3
Wavelet Hash:0000f9f9f9f8f878
Color Hash:#b587c5

Other Hashes

Scan History

Scan history not available

Unable to load historical scan data