Security Scan Report: www.umu.se

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Submitted: Nov 27, 2025, 7:08:30 PMCompleted: Nov 27, 2025, 7:13:15 PMpubliccompleted
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Summary

This website contacted 4 IPs in 1 country across 2 domains to perform 109 HTTP transactions. The main domain is umu.se and was registered NaN years ago.

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

The Cisco Umbrella rank of the primary domain is #145,262 of the top 1 million websites

AI Security Verdict

AI analysis unavailable for this scan

Details

Page Title

Umeå universitet

Scan Type

public

Language

🇸🇪

Swedish

(80% confidence)

Category

healthcare medical

(92%)

Domain Information

Within the Swedish country-code top-level domain (.se), 'www.umu.se' is registered with subdomain 'www'. Count 3 characters in 'umu' holding 2 vowels versus one consonant. Segmentation suggests two words: u, mu. The median word length lands at 1.5 characters. No strong language cues emerged from the frequency lists.

Screenshot

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

Page Load Overview

0.80s
Total Load Time
109
HTTP Requests
2
Domains
2.2 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:5,170 chars
Detector Agreement:100%

Website Classification

Primary Category

healthcare medical92% confidence
Type: dynamic
Method: ml+structural

All Detected Categories

healthcare medical
92%
education learning
83%
government public service
70%
adult content
67%
blog personal website
65%

Detected Features

Search

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
106130.239.34.63Umeå, Västerbotten County, Sweden
AS2833Umea University
272001:6b0:e:4::23fGothenburg, Västra Götaland County, Sweden
AS1653Vetenskapsradet / SUNET
272a00:1a28:1410:5::11edStockholm, Stockholm County, Sweden
AS42708GleSYS AB
346.246.30.200Stockholm, Stockholm County, Sweden
AS42708GleSYS AB
1094--

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T1B8C3A62245F5542B426B8194AB60669D9FA1E243DB4B804DB0FD47C4AFDFEC3CA1393E

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

1536:AoqHuD/ED89GUGnJPJCQQkn5xIPteT+1+cXcjLNWfJbHK6bQbVbX:AoU2jGQeC45xZ

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:120891:NaQWykwlBAIoDBBCY8sJJFExiRwJEtpnwC+BwVCAkDZpESiIYAQToARqIMtCDERYl4yxEIICDGpBLZSZagABAJwggISWEkii

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:80040e0404ffffff
Perceptual Hash:9232edec6a9aec11
Difference Hash:0398b8b8a9477979
Wavelet Hash:80060e0404ffffff
Color Hash:#e07f6c

Scan History

Scan history not available

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