Security Scan Report: www.en.aau.dk

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Submitted: Dec 11, 2025, 2:07:33 AMCompleted: Dec 11, 2025, 2:09:07 AMpubliccompleted
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Summary

This website contacted 29 IPs in 4 countries across 7 domains to perform 125 HTTP transactions. The main domain is en.aau.dk and was registered NaN years ago.

Submitted URL: https://www.en.aau.dk/

The Cisco Umbrella rank of the primary domain is #336,337 of the top 1 million websites

AI Security Verdict

Safe Website

Confidence: 95%

0
Risk Score

The site appears legitimate and poses no security risk.

Safety Factors
Long-established domain
Official university branding
No suspicious forms or redirects
Domain age information unavailable

Details

Page Title

Aalborg University - Knowledge for the World - Aalborg University

Scan Type

public

Language

🇺🇸

English

(80% confidence)

Category

technology software

(94%)

Domain Information

The domain name 'www.en.aau.dk' uses the Danish country-code top-level domain (.dk); it also runs on subdomain 'www.en'. The second-level label 'aau' is 3 characters long holding 3 vowels versus zero consonants. Word splitting yields 1 word: aau. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://www.en.aau.dk/

Page Load Overview

8.44s
Total Load Time
125
HTTP Requests
7
Domains
19.4 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-US
Text Length:47,133 chars
Detector Agreement:75%

Website Classification

Primary Category

technology software94% confidence
Type: static
Method: ml+structural

All Detected Categories

technology software
94%
government public service
38%
documentation technical
33%
corporate
25%

Detected Features

OG: website

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
13130.225.63.3Denmark
AS1835FSKNET-DK Forskningsnettet - Danish network for Research and Education
4172.217.18.8United States
AS15169GOOGLE
4142.251.141.110United States
AS15169GOOGLE
413.107.213.45United States
AS8075MICROSOFT-CORP-MSN-AS-BLOCK
4142.250.74.206United States
AS15169GOOGLE
420.50.88.241Amsterdam, North Holland, Netherlands
AS8075MICROSOFT-CORP-MSN-AS-BLOCK
4216.58.206.78United States
AS15169GOOGLE
4142.251.208.14United States
AS15169GOOGLE
420.224.132.89Amsterdam, North Holland, Netherlands
AS8075MICROSOFT-CORP-MSN-AS-BLOCK
413.107.246.45United States
AS8075MICROSOFT-CORP-MSN-AS-BLOCK
12529--

Detected Technologies2

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T10EB46679A5E560FDA0F3D2CA26699A1066D4B036D0B0054E73BDF270C7CDD43FA3269A

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

768:n4JEHamUhxkERpc6nGEC+M5ymeaYVuMUO66SUbDwzAANGPqCe6z66mt1hA6U+qdr:4y8

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:500000:QUGMgQ2pACEDTYYVsg6gW5oQAWEBQAgYCQQiIxaxAVoBhEEMVqgQQTSYTmhjSAEUeiEAlgAAooJACQMbUwFSFhpMK6QfY6Nk

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:3c3c3838383c1c3c
Perceptual Hash:cbc8b437c8361f68
Difference Hash:7171717171716171
Wavelet Hash:3c3c3c3c3c3c3c3c
Color Hash:#c59d87

Scan History

Scan history not available

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