Security Scan Report: www.uniarts.se

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Submitted: Oct 6, 2025, 8:33:45 AMCompleted: Oct 6, 2025, 8:35:43 AMpubliccompleted
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Summary

This website contacted 9 IPs in 2 countries across 4 domains to perform 51 HTTP transactions. The main domain is uniarts.se and was registered NaN years ago.

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

AI Security Verdict

Safe Website

Confidence: 95%

1
Risk Score

The site appears legitimate, representing Stockholm University of the Arts, with no phishing or malware indicators.

Safety Factors
Well‑established domain age
Absence of credential‑harvesting or payment forms
No malicious Indicators of Compromise detected
Domain age information unavailable

Details

Page Title

Stockholms konstnärliga högskola, SKH - konstnärlig forskning, cirkusutbildning, dansutbildning, filmutbildning, operautbildning, radioutbildning, tv-utbildning, teaterutbildning, filmskola - Stockholms konstnärliga högskola (SKH) - Stockholms konstnärliga högskola (SKH)

Scan Type

public

Language

🇸🇪

Swedish

(80% confidence)

Category

unknown

(0%)

Domain Information

The domain name 'www.uniarts.se' uses the Swedish country-code top-level domain (.se) with subdomain 'www'. The registrable portion 'uniarts' spans 7 characters containing 3 vowels alongside 4 consonants. Word splitting yields 2 words: uni, arts. The median word length lands at 3.5 characters. 'uni' most strongly signals Dutch. You will also see it in German and English contexts.

Screenshot

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

Page Load Overview

14.00s
Total Load Time
51
HTTP Requests
4
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-se
Text Length:16,790 chars
Detector Agreement:100%

Website Classification

Primary Category

unknown0% confidence
Type: webapp
Method: structural

All Detected Categories

No categories detected

Detected Features

Search
OG: website

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
520.107.224.52Dublin, Leinster, Ireland
AS8075MICROSOFT-CORP-MSN-AS-BLOCK
523.36.162.211Frankfurt am Main, Hesse, Germany
AS20940Akamai International B.V.
523.212.215.73Frankfurt am Main, Hesse, Germany
AS16625AKAMAI-AS
52a02:26f0:3500:18::1724:a291IrelandUnknown
52a02:26f0:3500:18::1724:a28cIrelandUnknown
52a02:26f0:3500:2a6::f09IrelandUnknown
52a02:26f0:3500:2b6::f09IrelandUnknown
523.36.162.220IrelandUnknown
523.56.205.206IrelandUnknown
519--

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T186742AF4B3F035AF4A5BD3F5E256F75BA1A200D5ED815284C2988F2826D6C2F9C25873

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

1536:Zh/FstNv0XvHvO8n5mRu3gBliNJ6mlTwbDF2tNkjtFcURvoFSsMoFPfreU5wvz19:nRsRMg7vr4nr4BZDlL

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:338506:dWwoYs1kMgEIcIIAsAKhABQ+UVEgFAsoQZBRAA5RAFQEiASCAhcBCGITMAgQQEKIzLIirSA4hMqAWIie6WECENAERWCFQkAs

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:ffffff000000ffff
Perceptual Hash:f2bdbc46628a48ad
Difference Hash:273a1bdccce1211d
Wavelet Hash:91ffcf000000fdff
Color Hash:#93631f

Scan History

Scan history not available

Unable to load historical scan data