Security Scan Report: www.uniarts.se

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Submitted: Jan 7, 2026, 2:30:32 PMCompleted: Jan 7, 2026, 2:31:48 PMpubliccompleted
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Summary

This website contacted 5 IPs in 2 countries across 4 domains to perform 54 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%

0
Risk Score

Legitimate university site with no security concerns.

Safety Factors
Well‑established domain age
Official university branding in title and content
Absence of credential or payment collection 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

technology software

(30%)

Domain Information

The domain name 'www.uniarts.se' uses the Swedish country-code top-level domain (.se), featuring subdomain 'www'. The core label 'uniarts' covers 7 characters containing 3 vowels alongside four consonants. Splitting it apart reveals two words: uni, arts. Median word length is 3.5 characters. No strong language cues emerged from the frequency lists.

Screenshot

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

Page Load Overview

3.57s
Total Load Time
36
HTTP Requests
4
Domains
235 KB
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:15,103 chars
Detector Agreement:100%

Website Classification

Primary Category

technology software30% confidence
Type: webapp
Method: ml+structural

All Detected Categories

technology software
30%

Detected Features

Search
OG: website

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
820.107.224.52Dublin, Leinster, Ireland
AS8075MICROSOFT-CORP-MSN-AS-BLOCK
723.50.131.160Germany
723.50.131.159Germany
723.56.205.206Frankfurt am Main, Hesse, Germany
AS16625AKAMAI-AS
723.212.215.73GermanyUnknown
365--

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T142B44AB432A2326F8B47DBF1A691F747A9A244D6D9C001CCC4968F386AC7C1E5C7A477

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

6144:QvEfVCwqdZDmX2XOG2Ia9g0N/vLCAUbElclSF:Qc9CwqdFgXcI

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:525398:IbUJ6uGKgQEIgMrlQmaYIeoRHBIxwDgEwaMECQEag0iAsAYB5hcMmghBSCIBAgsirjoJcCAYjUNqk9VGBAIDEAQV6YXAYAPU

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:f2bdbc42628a48bd
Difference Hash:673a1bdccce1211d
Wavelet Hash:91ffcf000000fdff
Color Hash:#405dbf

Scan History

Scan history not available

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