Security Scan Report: www.umu.se

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Submitted: Oct 6, 2025, 9:08:18 AMCompleted: Oct 6, 2025, 9:08:47 AMpubliccompleted
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Summary

This website contacted 5 IPs in 1 country across 3 domains to perform 72 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 #56,223 of the top 1 million websites

AI Security Verdict

Safe Website

Confidence: 96%

1
Risk Score

The site appears legitimate with minimal risk.

Safety Factors
Long domain age and established institution
No malicious Indicators of Compromise detected
No credential‑harvesting or payment collection forms
Clear university branding and legitimate content
Domain age information unavailable

Details

Page Title

Umeå universitet

Scan Type

public

Language

🇸🇪

Swedish

(80% confidence)

Domain Information

The domain 'www.umu.se' uses the Swedish country-code top-level domain (.se) and includes subdomain 'www'. The registrable portion 'umu' spans 3 characters containing 2 vowels alongside one consonant. Segmentation suggests two words: u, mu. The median word length lands at 1.5 characters. Most frequently, 'u' shows up in Croatian. It also appears in Serbian and Bosnian contexts. Net impression: Croatian phrase.

Screenshot

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

Page Load Overview

6.38s
Total Load Time
72
HTTP Requests
3
Domains
1.5 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:5,463 chars
Detector Agreement:100%

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
14178.174.209.211Stockholm, Stockholm County, Sweden
AS8473Bahnhof AB
14130.239.34.63Umeå, Västerbotten County, Sweden
AS2833Umea University
1446.246.30.200Stockholm, Stockholm County, Sweden
AS42708GleSYS AB
142001:6b0:e:4::23fSwedenUnknown
142a00:1a28:1410:5::11edSwedenUnknown
725--

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T10EC3841245F5542B026B80D8AB60669E9F95E243DB5B808DB0FD47C4AFDFE83CA1353E

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

1536:UoqHuD/ojTVrUs3IJLrc+sJSSqdIHWlAbHX6bQbVbX:UoU2VsOhfdq28Z

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:121970:ASYZ6BSTCSQQAAgoAEhQITPWVbQSERgBIMSR4QXJiQIiwcWJsGEUBghUIGh6kGiEADhECGgBIANMgsEoshNIoAgU2AMQIABi

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:00fffffc3fffff00
Perceptual Hash:c24f702d7a4b722d
Difference Hash:87d4e9696561939d
Wavelet Hash:003e3c3c31ffff00
Color Hash:#7f2dd2

Scan History

Scan history not available

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