Security Scan Report: www.umu.se

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Submitted: Jan 8, 2026, 4:36:33 PMCompleted: Jan 8, 2026, 4:37:51 PMpubliccompleted
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Summary

This website contacted 2 IPs in 1 country across 2 domains to perform 42 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: 95%

0
Risk Score

Legitimate university site with no security concerns.

Safety Factors
Well‑established domain
No malicious Indicators of Compromise
No suspicious forms or data collection
Domain age information unavailable

Details

Page Title

Umeå universitet

Scan Type

public

Language

🇸🇪

Swedish

(80% confidence)

Category

technology software

(81%)

Domain Information

Domain 'www.umu.se' uses the Swedish country-code top-level domain (.se); it also runs on subdomain 'www'. The registrable portion 'umu' spans 3 characters holding two vowels versus one consonant. Breaking it apart gives two words: u, mu. Median word length is 1.5 characters. No strong language cues emerged from the frequency lists.

Screenshot

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

Page Load Overview

2.70s
Total Load Time
53
HTTP Requests
2
Domains
1.0 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:4,567 chars
Detector Agreement:100%

Website Classification

Primary Category

technology software81% confidence
Type: dynamic
Method: ml+structural

All Detected Categories

technology software
81%
documentation technical
76%
blog personal website
74%
healthcare medical
42%

Detected Features

Search

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
2746.246.30.200Stockholm, Stockholm County, Sweden
AS42708Glesys AB
26130.239.34.63Umeå, Västerbotten County, Sweden
AS2833Umea University
532--

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T190B3A41245E5542B426780D4BB61A69E9F94E203DB1B809D70FC4BC49FEFE83CA1393E

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

1536:AoqHuD/yQ09OUc/C/P8DA7zrRG56j3GflLX6bQbVbX:AoU24cZrQLwZ

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:113929:IEgAICRIkBmAAEMsACLGfURwcVJQAQRoAMekASDMhANMYBi9iEh168pIIIICSGrEghSBhEQFVECwAIBBECWSkCIEUARETNOK

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:0036323204c0ffcc
Perceptual Hash:e407f83b13e57883
Difference Hash:96646644dd91829d
Wavelet Hash:0036f2320cc0ffff
Color Hash:#e0946c

Scan History

Scan history not available

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