Security Scan Report: www.umea.se

Redirected to:
https://www.umea.se/
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Submitted: May 27, 2026, 10:13:37 PMCompleted: May 27, 2026, 10:14:57 PMpubliccompleted
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Summary

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

Submitted URL: http://www.umea.se

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

AI Security Verdict

Safe Website

Confidence: 95%

1
Risk Score

The site is a legitimate municipal website with no phishing, malware, or scam indicators.

Safety Factors
Established government domain (Umeå kommun)
No malicious network or IDS alerts
No external credential exfiltration or suspicious redirects
Domain age information unavailable

Details

Page Title

Umeå kommun - Umeå kommun

Scan Type

public

Language

🇸🇪

Swedish

(80% confidence)

Category

government public service

(26%)

Domain Information

The domain name 'www.umea.se' uses the Swedish country-code top-level domain (.se) with subdomain 'www'. The second-level label 'umea' is 4 characters long with three vowels and one consonant. It segments into two words: ume, a. Median word length comes out to 2 characters. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of http://www.umea.se

Page Load Overview

9.29s
Total Load Time
55
HTTP Requests
6
Domains
3.1 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:5,465 chars
Detector Agreement:60%

Website Classification

Primary Category

government public service26% confidence
Type: spa
Method: ml+structural

All Detected Categories

government public service
26%
news/blog
20%

Detected Features

Search
Articles

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
28193.254.4.30Umeå, Västerbotten County, Sweden
AS25176AC-Net AB
27158.174.98.163Luleå, Norrbotten County, Sweden
AS8473Bahnhof AB
552--

Detected Technologies3

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T15B831A1068F4B93B027720A9B9B4334722AE860BDA6658447ABC87953FC1FE50D9F71D

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

1536:uvRbRMY4mQM1P37bMnE2spuaAvUKbTncTjj0DaBborgA:uvRbR74mQWP37Qnap7AvhTncTjj0DaBC

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:84203:glIlmQEFgAWRHcQE4YgAirwkJ7FQDCIBZQJ3IFdBoRQQsJAALQGjgEJEbKAUVU6hAjA40qJkBgVkSiJDCkATJhsIGNySAZT5

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:ffc181bdbd8189ff
Perceptual Hash:db64641b968679e4
Difference Hash:78030369791b1be4
Wavelet Hash:bf8181bdbd8181cd
Color Hash:#84862d

Other Hashes

Scan History

Scan history not available

Unable to load historical scan data