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Security Scan Report: international.au.dk

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Submitted: Dec 11, 2025, 2:11:45 AMCompleted: Dec 11, 2025, 2:12:39 AMpubliccompleted
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Summary

This website contacted 66 IPs in 5 countries across 13 domains to perform 62 HTTP transactions. The main domain is international.au.dk and was registered NaN years ago.

Submitted URL: https://international.au.dk/

The Cisco Umbrella rank of the primary domain is #211,184 of the top 1 million websites

AI Security Verdict

Safe Website

Confidence: 95%

0
Risk Score

Legitimate university site with no security concerns.

Safety Factors
Well‑established domain
Official Aarhus University subdomain
No suspicious forms or data collection
Domain age information unavailable

Details

Page Title

Aarhus University – a top 100 research-intensive university

Scan Type

public

Language

🇺🇸

English

(80% confidence)

Category

education learning

(55%)

Domain Information

Domain 'international.au.dk' uses the Danish country-code top-level domain (.dk) with subdomain 'international'. Count 2 characters in 'au' holding two vowels versus zero consonants. Breaking it apart gives 1 word: au. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://international.au.dk/

Page Load Overview

8.02s
Total Load Time
62
HTTP Requests
13
Domains
4.5 MB
Total Size

Language Analysis

Primary Language

🇺🇸English
Code: en
Confidence:80%
Script:Latin
Direction:ltr

Detection Details

Language Code:en
Detection Confidence:80%
Script Type:Latin
HTML Lang Attribute:en
Text Length:49,082 chars
Detector Agreement:100%

Website Classification

Primary Category

education learning55% confidence
Type: static
Method: ml+structural

All Detected Categories

education learning
55%
government public service
30%

Detected Features

Search

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
62216.58.206.46United States
AS15169GOOGLE
0157.240.253.35Frankfurt am Main, Hesse, Germany
AS32934FACEBOOK
0185.45.20.48Aarhus, Central Jutland, Denmark
AS62138Aarhus Universitet
0104.16.175.226United States
AS13335CLOUDFLARENET
0216.58.206.74United States
AS15169GOOGLE
013.107.213.45United States
AS8075MICROSOFT-CORP-MSN-AS-BLOCK
013.107.246.45United States
AS8075MICROSOFT-CORP-MSN-AS-BLOCK
0104.16.174.226United States
AS13335CLOUDFLARENET
0108.138.7.97United States
AS16509AMAZON-02
0108.138.7.28United States
AS16509AMAZON-02
6266--

Detected Technologies4

TYPO3
100%
Object
100%
MetaGenerator
100%
Varnish
40%

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T108646325EDBC313B091942C57E34DB4A9179A12B01A19256F8CFDD2A07D0EF8F8375AE

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

3072:NhhGN1u3k2egtRgdF9g4KINKgUGlvoe+uGFveKFKWy+ECjCNHJNKf+vC:XhGN1u3kxICgsCjCNHJk

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:314716:hg1EIHXLAB0FAkgmjHWlyCACZOoIUYQKjUqBPQBzFhCJKxJgFDiAIlkACwRBaQAAAZAEQ6STfgwbwADoVwU6CASYXBjrwoTB

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:003c3c3c3c3c3c00
Perceptual Hash:8a4b34b5356beb0c
Difference Hash:17e96969e869698f
Wavelet Hash:003c3c3c3c3fbdc3
Color Hash:#c59d87

Other Hashes

Crop Resistant:5bdb5b585b5a585b,b2b2a2b6e8d6968c,17e96969e869698e

Scan History

Scan history not available

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