Security Scan Report: oru.se

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

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Submitted: Jan 6, 2026, 4:41:31 AMCompleted: Jan 6, 2026, 4:42:20 AMpubliccompleted
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Summary

This website contacted 1 IP in 1 country across 2 domains to perform 40 HTTP transactions. The main domain is oru.se and was registered NaN years ago.

Submitted URL: https://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 site is a legitimate university page with no security concerns.

Safety Factors
Long‑standing domain registration
University affiliation
Transparent cookie consent information
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

Within the Swedish country-code top-level domain (.se), 'oru.se' is registered while skipping any subdomain. Count 3 characters in 'oru' containing 2 vowels alongside 1 consonant. Word splitting yields 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://oru.se

Page Load Overview

3.64s
Total Load Time
30
HTTP Requests
2
Domains
815 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
30130.243.98.233Örebro, Örebro County, Sweden
AS1653Vetenskapsradet / SUNET
301--

Detected Technologies2

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T13B23E6629BF044370277E1E9A370775ADFD69237C6062848B0AE07647FEBD425913B2E

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

384:MAXhL0AUvqvxVWgmxoo0G9zaGKSAJTzz/5lXWJFAfwtqL97tcjrenifIqMOAsjv6:DXhovCxsG4FQ2k97m5j++qXRXD

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:47572:AgxKwKwAUFEy9BE+JAgEgcAmGKQBAAGQZQCMAAwVRhbQQBTIBDtgB8iTVEDwHEAAADQE5EENIQUYnIDYAAiyYIwDeEiSCgKA

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:00ff0000ffffffff
Perceptual Hash:bc1cc7e7303843e3
Difference Hash:3e22233f0e4e4f4e
Wavelet Hash:009f0000e3e7f7ff
Color Hash:#a187c5

Other Hashes

Scan History

Scan history not available

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