Security Scan Report: xn--sjgrdenvadstena-jlb10a.se

Redirected to:
https://www.sjogardenvadstena.se/sv-SE
Site favicon
Submitted: Completed: publiccompleted
This website contacted 38 IPs in 4 countries across 20 domains to perform 102 HTTP transactions. The main domain is xn--sjgrdenvadstena-jlb10a.se.

Submitted URL: https://xn--sjgrdenvadstena-jlb10a.se

Effective URL:
https://www.sjogardenvadstena.se/sv-SE
Redirected

AI Security Verdict

Safe Website

Confidence: 85%

0
Risk Score

Legitimate Swedish guesthouse site displaying its own brand on a matching domain, with no credential/payment forms, no malware, and only a false-positive reputation tag on the map-tile host carto.com.

Safety Factors (4)
Content (accommodation details, address Sjögatan 4, 592 32 Vadstena, Swedish phone number, local attraction links) is internally consistent with a real guesthouse
Cross-origin script targets are all mainstream services: google-analytics.com, maps.googleapis.com, cdnjs.cloudflare.com, fonts.googleapis.com
Cisco Umbrella / ML classifier give no malicious signal; site categories are real estate property / travel tourism
No forms that collect user data; no brand of a different entity referenced
Domain age information unavailable

Details

Page Title

Boende | Sjögården i Vadstena

Scan Type

public

Domain Name Analysis

The domain name 'xn--sjgrdenvadstena-jlb10a.se' uses the Swedish country-code top-level domain (.se) without a subdomain. The registrable portion 'xn--sjgrdenvadstena-jlb10a' spans 26 characters split between 5 vowels and 16 consonants, along with 2 digits and 3 hyphens. Splitting it apart reveals 12 words: xn, s, jg, rden, v, ads, ten, a, j, lb, 10, a. Average segment length settles at two characters. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://xn--sjgrdenvadstena-jlb10a.se

Page Load Overview

27.40s
Total Load Time
4.2 MB
Total Size

Language Analysis

Primary Language

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

Detection Details

HTML Lang Attribute:sv
Text Length:1,753 chars
Detector Agreement:100%

Website Classification

Primary Category

real estate property43% confidence
Type: dynamic
Method: ml+structural

All Detected Categories

real estate property
43%
travel tourism
39%
documentation technical
33%
government public service
26%

Detected Features

No structural features detected

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
2852.209.163.243Aws · CLOUDDublin, Leinster, Ireland
AS16509Amazon.com, Inc.
2194.9.94.85Sweden
AS39570Loopia AB
246.137.114.201Aws · CLOUDDublin, Leinster, Ireland
AS16509Amazon.com, Inc.
213.33.50.208Cloudfront · CDNNew York, New York, United States
AS16509Amazon.com, Inc.
23.5.69.13Aws · CLOUDDublin, Leinster, Ireland
AS16509Amazon.com, Inc.
254.192.87.23Cloudfront · CDNUnited States
AS16509Amazon.com, Inc.
2142.251.14.100Google · CDNUnited States
AS15169Google LLC
2192.178.183.139Google · CDNUnited States
AS15169Google LLC
23.5.75.48Aws · CLOUDDublin, Leinster, Ireland
AS16509Amazon.com, Inc.
2142.251.14.95Google · CDNUnited States
AS15169Google LLC
10238--

Detected Technologies5

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T10C33D831E69D2C37421340C4F971BBBC512BE635DA028DD2F3FB8696A7C5DD8A41229E

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

1536:g1kyE0wj5+dfKZ1kkTteZmkXAG1JZwrDHzKSWLx:g8vZ1MRwOSWF

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:53197:B0LgNwBiKAihwM6ieiQAAqVIMoC8QYEFOF1ghBSBShGQAgMJpBJphH6ZQEpyDQFChAg0kMJAyA4cwh8AxRxwUgGFReRJAAAI

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:cfffdbc24000e3ff
Perceptual Hash:f0998766384d654f
Difference Hash:1010969696970710
Wavelet Hash:00ffdbc20000efff
Color Hash:#2d8665

Scan History

Scan history not available

Unable to load historical scan data