Security Scan Report: www.oru.se

Redirected to: https://www.oru.se/om-universitetet/cookies-och-javascript/

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Submitted: Jan 9, 2026, 2:16:40 AMCompleted: Jan 9, 2026, 2:18:28 AMpubliccompleted
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Summary

This website contacted 1 IP in 1 country across 1 domain to perform 42 HTTP transactions. The main domain is oru.se and was registered NaN years ago.

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

Effective URL: https://www.oru.se/om-universitetet/cookies-och-javascript/Redirected

The Cisco Umbrella rank of the primary domain is #639,227 of the top 1 million websites

AI Security Verdict

Safe Website

Confidence: 95%

0
Risk Score

The page is legitimate with no security concerns.

Safety Factors
Long‑standing domain registration
University-owned domain
No suspicious forms or redirects
Low risk category from domain age analysis
Domain age information unavailable

Details

Page Title

Örebro universitet - utbildning, forskning och innovation

Scan Type

public

Language

🇸🇪

Swedish

(80% confidence)

Category

government public service

(69%)

Domain Information

The domain name 'www.oru.se' uses the Swedish country-code top-level domain (.se); it also runs on subdomain 'www'. The core label 'oru' covers 3 characters holding two vowels versus one consonant. It segments into 2 words: or, u. Average segment length settles at 1.5 characters. No strong language cues emerged from the frequency lists.

Screenshot

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

Page Load Overview

52.75s
Total Load Time
29
HTTP Requests
1
Domains
800 KB
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:9,879 chars
Detector Agreement:100%

Website Classification

Primary Category

government public service69% confidence
Type: dynamic
Method: ml+structural

All Detected Categories

government public service
69%
education learning
69%
technology software
68%
documentation technical
64%
download file sharing
64%

Detected Features

Search
Articles

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
29130.243.98.233Örebro, Örebro County, Sweden
AS1653Vetenskapsradet / SUNET
291--

Detected Technologies2

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T12923E5629BF044330277A1EAA2707719DFD69337C6072848B0AE07657FEBC425813B2E

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

384:MAXhL0AUvqvxVWgmxoo0G9zaGKSAJTzzDvhBBqJD7mfwtTjrenifGJ3qMOAsjvW/:DXhovCxsG8By2TUJsj++qXRXD

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:47511:AQYAgC1FHwLM9NO6OioAgMSu6ADoAErYtARSQgtCHAIjGwAAhQGTDADQAJ8AiQkhqEBzIRQ6FQYMCgBaimgEmO0mdtV4ACiI

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:ff00d9dbd98183db
Perceptual Hash:a9c3a638c9efc838
Difference Hash:2329331333332b2b
Wavelet Hash:ff0099d9998183db
Color Hash:#1f7c93

Scan History

Scan history not available

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