Security Scan Report: www.oru.se

Redirected to:
https://www.oru.se/om-universitetet/cookies-och-javascript/
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Submitted: Jun 13, 2026, 12:53:40 PMCompleted: Jun 13, 2026, 12:54:20 PMpubliccompleted
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Summary

This website contacted 1 IP in 1 country across 1 domain to perform 2 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%

1
Risk Score

The site is a legitimate university page with no phishing or malware indicators.

Safety Factors
Established domain age
Domain matches the claimed brand
No malicious network or IDS alerts
No credential exfiltration or phishing forms
Domain age information unavailable

Details

Page Title

Cookies och javascript - Örebro universitet

Scan Type

public

Language

🇸🇪

Swedish

(80% confidence)

Category

education learning

(81%)

Domain Information

Within the Swedish country-code top-level domain (.se), 'www.oru.se' is registered; it also runs on subdomain 'www'. The registrable portion 'oru' spans 3 characters split between 2 vowels and one consonant. Breaking it apart gives two words: or, u. Median word length is 1.5 characters. No strong language cues emerged from the frequency lists.

Screenshot

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

Page Load Overview

1.27s
Total Load Time
25
HTTP Requests
1
Domains
845 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:9,847 chars
Detector Agreement:100%

Website Classification

Primary Category

education learning81% confidence
Type: dynamic
Method: ml+structural

All Detected Categories

education learning
81%
blog personal website
79%
government public service
78%
technology software
74%
documentation technical
70%

Detected Features

Search
Articles

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
25130.243.98.233Örebro, Örebro County, Sweden
AS1653Vetenskapsradet / SUNET
251--

Detected Technologies2

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T1D403E862A8F0C033023262DAA674A726DFCA822BD5863549F1DD07696FCBD535C2771F

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

384:AZnIBZUv2XxtzYjMR8T6ZLnw+w/chU8F8O8atdGlLPyIMXR6qmU:WxvkxtrR8T6dw+I18F8O8aSlLqXRXX

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:38516:GoBhAvkxBDBklg7YIHAIgBRjCiA4E1mo5AwiB9LHADCIA8OCDTALgAGBoDTpSGgAKE9vwCE3RrQA0wBS4QgiyiwJkFFMEAAh

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:87ff0000f7e7f7ff
Perceptual Hash:bc1ccfe7303843c3
Difference Hash:3e22633f0f4f4f4e
Wavelet Hash:839f0000e3e7e3ef
Color Hash:#bf4084

Other Hashes

Scan History

Scan history not available

Unable to load historical scan data