Security Scan Report: www.uhr.se

Submitted: Jan 10, 2026, 12:08:55 PMCompleted: Jan 10, 2026, 12:10:38 PMpubliccompleted
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Summary

This website contacted 3 IPs in 2 countries across 3 domains to perform 25 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: 95%

0
Risk Score

The site appears legitimate with no security concerns.

Safety Factors
Well‑established domain (registered 2010)
Legitimate content about university admissions and digitalisation
Standard cookie consent banner (non‑suspicious)
No external links to known malicious sites
Domain age information unavailable

Details

Page Title

Startsida - Universitets- och högskolerådet (UHR)

Scan Type

public

Language

🇸🇪

Swedish

(80% confidence)

Category

education learning

(68%)

Domain Information

Within the Swedish country-code top-level domain (.se), 'www.uhr.se' is registered, featuring subdomain 'www'. The second-level label 'uhr' is 3 characters long containing one vowel alongside 2 consonants. It segments into 2 words: u, hr. Median word length is 1.5 characters. No strong language cues emerged from the frequency lists.

Screenshot

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

Page Load Overview

14.84s
Total Load Time
20
HTTP Requests
3
Domains
4.0 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:14,395 chars
Detector Agreement:100%

Website Classification

Primary Category

education learning68% confidence
Type: dynamic
Method: ml+structural

All Detected Categories

education learning
68%
government public service
47%
corporate
25%

Detected Features

Search
OG: website

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
8104.18.36.168United States
AS13335CLOUDFLARENET
6193.11.100.216Jönköping, Jönköping, Sweden
AS1653Vetenskapsradet / SUNET
6104.16.175.226United States
AS13335CLOUDFLARENET
203--

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T12CD3952284E1123B163B60DA32B1EB18BCE6D087D4467D5A75EC4F9ECFA5C411E2367E

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

1536:LFaD0OiM6saQAczLN4zs9PuYBMlnt/gRMcLE4T09Y4:RLzqaVnMwtENLE4T0S4

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:130741:kAh1IeQBHwBEWDCGBCUCAJAXtsZD6YAwMAQPFCCaoqyVciYODGBRBJDEUaGKJZBR4BIQ24XBIYAJaALJgz4QiJBpDChCwAAg

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:ffc1d9999999dbd9
Perceptual Hash:c94cb2b69cc9636c
Difference Hash:330b333333332333
Wavelet Hash:f9c191999999c1d9
Color Hash:#933c1f

Scan History

Scan history not available

Unable to load historical scan data