Security Scan Report: klackbergsgarden.se

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Submitted: Completed: publiccompleted
This website contacted 27 IPs in 2 countries across 10 domains to perform 91 HTTP transactions. The main domain is klackbergsgarden.se.

Submitted URL: https://klackbergsgarden.se

AI Security Verdict

Safe Website

Confidence: 85%

1
Risk Score

Swedish hotel site on its own matching domain with booking and contact forms routed to legitimate form services. No credential or payment fields, no impersonation, no threat-intel or malware hits.

Safety Factors (5)
Site displays its own brand matching its domain — no impersonation of another organisation
No password, login, or payment card fields anywhere on the page
No cross-origin credential forms; cross-origin requests limited to Google Maps/Places APIs
No Indicators of Compromise, malware, or network IDS alerts
Real-world business details (Swedish address, seasonal activity content, room pricing) consistent with a genuine hotel
Domain age information unavailable

Details

Page Title

Hotel Klackbergsgården

Scan Type

public

Domain Name Analysis

The domain name 'klackbergsgarden.se' uses the Swedish country-code top-level domain (.se) and has no subdomain. The registrable portion 'klackbergsgarden' spans 16 characters containing 4 vowels alongside twelve consonants. Breaking it apart gives 4 words: k, lack, bergs, garden. Median word length comes out to 4.5 characters. No strong language cues emerged from the frequency lists.

Screenshot

EI) KLACKBERGSGÅRDEN KONFERENSER KONTAKT BOKA RUM ONLINE | — it Incheckning Utcheckning mm/dd/yyyy mm/dd/yyyy Antal gäster Rumstyp | | 1 ] välj rumstyp v —— I VALKOMmMEn TIL. KLRCBERCSCARDEN.

Page Load Overview

1.96s
Total Load Time
13.8 MB
Total Size

Language Analysis

Primary Language

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

Detection Details

HTML Lang Attribute:sv
Text Length:2,618 chars
Detector Agreement:87%

All Detected Languages

🇸🇪sv(98%)🇩🇰da(2%)

Website Classification

Primary Category

real estate property100% confidence
Type: dynamic
Method: ml+structural

All Detected Categories

real estate property
100%
entertainment media
100%
travel tourism
100%
government public service
100%
blog personal website
100%

Detected Features

No structural features detected

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
36185.199.108.153Fastly · CDNUnited States
AS54113Fastly, Inc.
19172.217.114.4Google · CDNUnited States
AS15169Google LLC
16142.251.157.119Google · CDNUnited States
AS15169Google LLC
3185.199.109.153Fastly · CDNUnited States
AS54113Fastly, Inc.
3104.18.11.207Cloudflare · WAFUnited States
AS13335Cloudflare, Inc.
3104.17.25.14Cloudflare · WAFUnited States
AS13335Cloudflare, Inc.
3142.250.154.95Google · CDNUnited States
AS15169Google LLC
3142.251.13.94Google · CDNUnited States
AS15169Google LLC
3185.199.111.153Fastly · CDNUnited States
AS54113Fastly, Inc.
3185.199.110.153Fastly · CDNUnited States
AS54113Fastly, Inc.
9127--

Detected Technologies7

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T19572EA2148F0687311A394A56A649B1BAFD5EA07CA1F1A0932FD0BDA0FD7D87DC2361D

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

192:Mjt0NZGuEf0/hntkmJLmfx+QS3esHt9gIpmdhwl7RPlR:4t0NTkmJLOx+fvfpohwl7RPlR

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:17342:ZEgAVsIYYCUYPwUyKQhCCBC4lFyCQGANgBCUArAIfoBQFioKPC0SKIIAIaUEcCoIEQQKTBQAAEu8COSUMcBKAP8qZFIYlZAi

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:fffdf8f8c0000000
Perceptual Hash:ecc3b035be853c38
Difference Hash:2201a1e11136163d
Wavelet Hash:fffffcf8c0800201
Color Hash:0e050080000

Other Hashes

Scan History

Scan history not available

Unable to load historical scan data