Security Scan Report: www.oru.se

Submitted: Dec 13, 2025, 7:55:43 PMCompleted: Dec 13, 2025, 7:56:01 PMpubliccompleted
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Summary

This website contacted 2 IPs in 1 country across 1 domain to perform 24 HTTP transactions. The main domain is oru.se and was registered NaN years ago.

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

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 site appears legitimate with no security concerns.

Safety Factors
Well‑established domain age
Official university website
No malicious Indicators of Compromise
Domain age information unavailable

Details

Page Title

Örebro universitet - utbildning, forskning och innovation

Scan Type

public

Language

🇸🇪

Swedish

(80% confidence)

Category

education learning

(35%)

Domain Information

Domain 'www.oru.se' uses the Swedish country-code top-level domain (.se) with subdomain 'www'. The core label 'oru' covers 3 characters split between two vowels and one consonant. Tokenizing the label suggests two 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

3.90s
Total Load Time
24
HTTP Requests
1
Domains
675 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:6,505 chars
Detector Agreement:100%

Website Classification

Primary Category

education learning35% confidence
Type: dynamic
Method: ml+structural

All Detected Categories

education learning
35%
corporate
35%

Detected Features

Search
Schema.org

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
12130.243.98.233Örebro, Örebro County, Sweden
AS1653Vetenskapsradet / SUNET
122001:6b0:2b:2057::233Linköping, Östergötland County, Sweden
AS1653Vetenskapsradet / SUNET
242--

Detected Technologies2

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T15223E6629BF054330266E1EA67702719DFD29337C6072848B0AE0765BFDBD469913B2E

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

768:XXh6lvCxsG4FQlmmp/ffS7OSj+X+qXRX4:XXh6lvCxtbp/CaBub

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:48750:cVoCgaIQKCTt6iKCgBsQMCBKZxIEhEIJR2FCyALaAiwJFQXEBQCGZsYckFDFDKlNMYWGcQIogoKkhAJEIUBKy5VFBQE2gHBg

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:#6e783a

Scan History

Scan history not available

Unable to load historical scan data