Security Scan Report: www.mdh.se

Redirected to:
https://www.mdu.se/
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Submitted: Jun 12, 2026, 7:17:21 AMCompleted: Jun 12, 2026, 7:18:33 AMpubliccompleted
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Summary

This website contacted 1 IP in 1 country across 1 domain to perform 4 HTTP transactions. The main domain is mdu.se and was registered NaN years ago.

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

Effective URL: https://www.mdu.se/Redirected

AI Security Verdict

Safe Website

Confidence: 94%

0
Risk Score

The site appears to be the legitimate university website with no malicious indicators.

Safety Factors
Established domain age
Brand name aligns with domain (Mälardalens universitet)
No suspicious redirects beyond a single legitimate domain change
No external malicious resources or IDS alerts
Domain age information unavailable

Details

Page Title

Mälardalens universitet – Mälardalens universitet

Scan Type

public

Language

🇸🇪

Swedish

(80% confidence)

Category

government public service

(74%)

Domain Information

Domain 'www.mdh.se' uses the Swedish country-code top-level domain (.se) with subdomain 'www'. Count 3 characters in 'mdh' containing 0 vowels alongside 3 consonants. Splitting it apart reveals two words: m, dh. Average segment length settles at 1.5 characters. No strong language cues emerged from the frequency lists.

Screenshot

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

Page Load Overview

3.91s
Total Load Time
68
HTTP Requests
9
Domains
1.2 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
Text Length:3,035 chars
Detector Agreement:100%

Website Classification

Primary Category

government public service74% confidence
Type: spa
Method: ml+structural

All Detected Categories

government public service
74%

Detected Features

Search
OG: website

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
68185.84.52.14Sweden
AS41174SiteVision AB
681--

Detected Technologies4

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T1EC832B318D44E93B65A711CEB8762B4630B7910EDF52D880BBFCCB652BC3DEA4C66152

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

1536:Sm2JI/4/Qli503USVr1QuGhT0mV4SV+MMeYqzQ7rBiuFKVDVSX1QzPP/fScMsuya:jewAQleMUSVr1QuGV06NV+M6qmwHVDVi

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:80749:MKKsLAioIEiLIICUGtAgWlnBJUHAeEWoDMTcTnAGiUUMQtFgISJOqIoMgAxYIIWICQuUgsBAAXBAUUgwIGEUEAAkODGjTbWS

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:ffc7c7c3d3ffffff
Perceptual Hash:b1339acccc939365
Difference Hash:0018181616000000
Wavelet Hash:3c1c0404033f3f3f
Color Hash:#79add2

Other Hashes

Crop Resistant:0018181616000000

Scan History

Scan history not available

Unable to load historical scan data