Security Scan Report: booking.hjortviken.se

Submitted: Jan 20, 2026, 2:11:29 PMCompleted: Jan 20, 2026, 2:12:53 PMpubliccompleted
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Summary

This website contacted 14 IPs in 4 countries across 13 domains to perform 147 HTTP transactions. The main domain is booking.hjortviken.se and was registered NaN years ago.

Submitted URL: https://booking.hjortviken.se/package/package-details?channelId=3d8479aa-3d42-4ac1-9109-144d3954c26a&packageId=1664b7c3-173b-4d94-a476-69bb7ae1f95e&utm_source=brace&utm_medium=email&utm_campaign=HJORTVIKEN_NB_B2C_SE_Y26_W4_BIRTHDAY&lid=tta29km3gttr

AI Security Verdict

Safe Website

Confidence: 95%

0
Risk Score

Legitimate hotel booking page with no security concerns.

Safety Factors
Established domain age reduces phishing likelihood
Absence of credential or payment forms
No malicious Indicators of Compromise detected
Content matches expected hotel booking service
Domain age information unavailable

Details

Page Title

1YEAR of Hjortviken - ROOM, BREAKFAST & POOL CLUB

Scan Type

public

Language

🇳🇴

Norwegian

(29% confidence)

Category

social media network

(41%)

Domain Information

The domain 'booking.hjortviken.se' uses the Swedish country-code top-level domain (.se) and includes subdomain 'booking'. The second-level label 'hjortviken' is 10 characters long containing three vowels alongside 7 consonants. Word splitting yields 4 words: hj, or, tvi, ken. Median word length is 2.5 characters. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://booking.hjortviken.se/package/package-details?channelId=3d8479aa-3d42-4ac1-9109-144d3954c26a&packageId=1664b7c3-173b-4d94-a476-69bb7ae1f95e&utm_source=brace&utm_medium=email&utm_campaign=HJORTVIKEN_NB_B2C_SE_Y26_W4_BIRTHDAY&lid=tta29km3gttr

Page Load Overview

6.46s
Total Load Time
147
HTTP Requests
13
Domains
283 KB
Total Size

Language Analysis

Primary Language

🇳🇴Norwegian
Code: no
Confidence:29%
Script:Latin
Direction:ltr

Detection Details

Language Code:no
Detection Confidence:29%
Script Type:Latin
HTML Lang Attribute:sv
Text Length:22,938 chars
Detector Agreement:75%
Language mismatch: Declared as sv but detected as no

Website Classification

Primary Category

social media network41% confidence
Type: static
Method: ml+structural

All Detected Categories

social media network
41%
technology software
40%
adult content
39%
entertainment media
30%
blog personal website
28%

Detected Features

No structural features detected

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
1734.36.134.163Kansas City, Missouri, United States
AS396982GOOGLE-CLOUD-PLATFORM
1023.46.67.182Schiphol, North Holland, Netherlands
AS16625AKAMAI-AS
10142.250.185.136United States
AS15169GOOGLE
1023.36.162.200Frankfurt am Main, Hesse, Germany
AS20940Akamai International B.V.
10216.239.32.36United States
AS15169GOOGLE
10172.67.69.29United States
AS13335CLOUDFLARENET
10142.251.141.74United States
AS15169GOOGLE
1020.107.224.25Dublin, Leinster, Ireland
AS8075MICROSOFT-CORP-MSN-AS-BLOCK
10104.26.8.18United States
AS13335CLOUDFLARENET
1023.36.162.220Frankfurt am Main, Hesse, Germany
AS20940Akamai International B.V.
14714--

Detected Technologies3

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T1C33462317186312F0F67C9F02295E75791C292C8DD8560C8999BC7382AE7E56BCFC2A7

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

1536:UTstNv0fvovCYUT74lUm8S0suTM2feD7ejeuHeTDV0+qP5YAvzaOAHkgwAQMz+BL:wT74lUmws2ymXV8E

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:242875:UqCqkKAw4BkXhARqAQTHiQQwFO4QABAiEyQBIIEEgNMAewEM2AIpYyOUGDg2ggSmKAKEaBRWg4QCBCEAAZQwZigJ7A4IggkF

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:00003c3c3c3c0000
Perceptual Hash:9ec3306d9a92cf92
Difference Hash:e0b6696961613eb4
Wavelet Hash:7e3e3c3c3c3c060e
Color Hash:#e06cce

Other Hashes

Scan History

Scan history not available

Unable to load historical scan data