Security Scan Report: www.uhr.se

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Submitted: Jun 17, 2026, 5:42:13 PMCompleted: Jun 17, 2026, 5:43:25 PMpubliccompleted
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Summary

This website contacted 3 IPs in 2 countries across 3 domains to perform 2 HTTP transactions. The main domain is uhr.se and was registered NaN years ago.

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

AI Security Verdict

Safe Website

Confidence: 93%

0
Risk Score

The site shows no malicious signals and appears to be a legitimate government portal.

Safety Factors
Official government domain (uhr.se)
Old registration date (2010)
No suspicious network or IDS alerts
No cross‑origin credential exfiltration
Domain age information unavailable

Details

Page Title

Startsida - Universitets- och högskolerådet (UHR)

Scan Type

public

Language

🇸🇪

Swedish

(80% confidence)

Category

education learning

(66%)

Domain Information

The domain 'www.uhr.se' uses the Swedish country-code top-level domain (.se) with subdomain 'www'. The second-level label 'uhr' is 3 characters long holding 1 vowel versus 2 consonants. Splitting it apart reveals 2 words: u, hr. Average segment length settles at 1.5 characters. No strong language cues emerged from the frequency lists.

Screenshot

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

Page Load Overview

2.99s
Total Load Time
20
HTTP Requests
3
Domains
3.9 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:14,227 chars
Detector Agreement:100%

Website Classification

Primary Category

education learning66% confidence
Type: dynamic
Method: ml+structural

All Detected Categories

education learning
66%
government public service
47%
corporate
25%

Detected Features

Search
OG: website

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
8104.18.36.168United States
AS13335Cloudflare, Inc.
6104.17.208.5United States
AS13335Cloudflare, Inc.
6193.11.100.216Jönköping, Jönköping, Sweden
AS1653Vetenskapsradet / SUNET
203--

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T1D5D3A622D4E1123B123B60DA32A1EB14BCE6C087D4467D9A75EC4F9EDFA5C412E1367E

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

768:eFjeIt8NOiMb2saQYchSJutzC9vQS5JK/RM7iN0+4L10YngJ4:eFjD0OiM6saQYcDtCjwRMU54L10n4

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:132286:QSQUATQqiQ5QiA4VAKAEEEYGdiCoarSB5CQlQkXDRggwUvIQggCoIEHItxIAUghBRMMxIAbDgKOYLKpYQEJRoBAMKQIAGKDt

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:ffc1d9999999cbf9
Perceptual Hash:e94cb2b69cc96368
Difference Hash:330b333333332b0b
Wavelet Hash:f9c191999999c1e9
Color Hash:#6cc9e0

Scan History

Scan history not available

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