Security Scan Report: www.storaskondal.se

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Submitted: Feb 3, 2026, 1:12:53 PMCompleted: Feb 3, 2026, 1:14:57 PMpubliccompleted
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Summary

This website contacted 4 IPs in 3 countries across 4 domains to perform 54 HTTP transactions. The main domain is storaskondal.se and was registered NaN years ago.

Submitted URL: https://www.storaskondal.se/

AI Security Verdict

Safe Website

Confidence: 95%

0
Risk Score

Legitimate site for Stora Sköndal with no security concerns.

Safety Factors
Established domain (>19 years old)
No credential or payment collection forms
No malicious Indicators of Compromise
Meta information matches the organization’s purpose
Standard GDPR cookie consent
Domain age information unavailable

Details

Page Title

Stiftelsen Stora Sköndal

Scan Type

public

Language

🇸🇪

Swedish

(80% confidence)

Category

technology software

(53%)

Domain Information

You're looking at domain 'www.storaskondal.se' on the Swedish country-code top-level domain (.se) with subdomain 'www'. Its registrable label 'storaskondal' stretches across 12 characters containing 4 vowels alongside 8 consonants. Breaking it apart gives four words: stor, ask, on, dal. Median word length comes out to three characters. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://www.storaskondal.se/

Page Load Overview

21.97s
Total Load Time
56
HTTP Requests
7
Domains
8.9 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-SE
Text Length:10,304 chars
Detector Agreement:100%

Website Classification

Primary Category

technology software53% confidence
Type: dynamic
Method: ml+structural

All Detected Categories

technology software
53%
adult content
49%
government public service
47%
documentation technical
36%
healthcare medical
35%

Detected Features

OG: website
Schema.org

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
14165.232.93.253United States
14142.251.141.136Sweden
14116.202.160.247Falkenstein, Saxony, Germany
AS24940Hetzner Online GmbH
14193.182.183.113Sweden
AS29518Bredband2 AB
564--

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T141D3B5326DB8C02DE51280E9E6B4970EC5FAD117C245AD9C75ED6A3C8F8AAD74C6301F

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

1536:bQappbfWgF91wNPdZNLfgvHSUj17wUiDpymaJf:bvbbfWOwhjNLfg7iDpyzf

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:136332:ECoCrJiIILB44Y2gAAEADUgZID0ImGYUIAQChKRLxAICqEXS1SQKW6IZlVAVRgF2BnDAkQmIASBABBgwEQHgcdIaQQEiAhKC

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:ff003c3c3c3cf989
Perceptual Hash:ca162cd79ecd9289
Difference Hash:69cde96969693333
Wavelet Hash:ff003c3c3c3cf981
Color Hash:#402d86

Scan History

Scan history not available

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