Security Scan Report: www.umu.se

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Submitted: Jun 17, 2026, 3:06:53 PMCompleted: Jun 17, 2026, 3:08:03 PMpubliccompleted
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Summary

This website contacted 2 IPs in 1 country across 2 domains to perform 2 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

Safe Website

Confidence: 96%

0
Risk Score

The site is a legitimate university website with no malicious indicators.

Safety Factors
Established domain with long registration history
Self‑branding consistent with domain
Absence of malicious forms or external credential exfiltration
No threat‑intel or malware detections
Domain age information unavailable

Details

Page Title

Umeå universitet

Scan Type

public

Language

🇸🇪

Swedish

(80% confidence)

Category

blog personal website

(89%)

Domain Information

Within the Swedish country-code top-level domain (.se), 'www.umu.se' is registered, featuring subdomain 'www'. The second-level label 'umu' is 3 characters long split between 2 vowels and one consonant. Word splitting yields 2 words: u, mu. Expect 1.5 characters per word on average. No strong language cues emerged from the frequency lists.

Screenshot

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

Page Load Overview

1.95s
Total Load Time
50
HTTP Requests
2
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:4,587 chars
Detector Agreement:100%

Website Classification

Primary Category

blog personal website89% confidence
Type: dynamic
Method: ml+structural

All Detected Categories

blog personal website
89%
technology software
84%
documentation technical
83%
government public service
56%
healthcare medical
38%

Detected Features

Search
Schema.org

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
2546.246.30.200Stockholm, Stockholm County, Sweden
AS42708Glesys AB
25130.239.34.63Umeå, Västerbotten County, Sweden
AS2833Umea University
502--

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T11FA3A62285F5542B02678188BB60679D9F94E243DB0B849DB0FD47C49FDFE838A1793E

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

1536:UoqHuqvdjotKULPb7xgybKxG14SNu6bQbVbX:UoUTqLDJmzZ

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:106397:CiXBhx7CAFEMCJAkoMSDUjLFswqwKBIAIBjQJYYkIiLSEJIMgSMUgZAIGCHIGyshApgXkLagODVKgAH8hACiWEABCUABB+1i

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:00327e0c00c0ffff
Perceptual Hash:d147a77c1aa37285
Difference Hash:86f6cc999195c6bf
Wavelet Hash:007e7e0c00c0ffff
Color Hash:#bf4084

Scan History

Scan history not available

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