Summary
This website contacted 10 IPs in 3 countries across 11 domains to perform 75 HTTP transactions. The main domain is au.dk and was registered NaN years ago.
Submitted URL: https://au.dk
Effective URL: https://www.au.dk/Redirected
The Cisco Umbrella rank of the primary domain is #211,184 of the top 1 million websites
AI Security Verdict
Safe Website
Confidence: 96%
Official Aarhus University site; no security concerns detected.
Safety Factors
Details
Page Title
Aarhus Universitet
Scan Type
public
Language
Danish
Category
government public service
(49%)Domain Information
Domain 'au.dk' uses the Danish country-code top-level domain (.dk) with no subdomain. The second-level label 'au' is 2 characters long with two vowels and 0 consonants. Breaking it apart gives one word: au. Median word length comes out to two characters. No strong language cues emerged from the frequency lists.
Screenshot

Page Load Overview
Language Analysis
Primary Language
Detection Details
Website Classification
Primary Category
All Detected Categories
Detected Features
Domain & IP Information
| Requests | IP Address | Location | AS Autonomous System |
|---|---|---|---|
| 14 | 209.38.34.181 | Germany | |
| 6 | 104.16.175.226 | United States | AS13335CLOUDFLARENET |
| 6 | 13.107.246.44 | United States | AS8075MICROSOFT-CORP-MSN-AS-BLOCK |
| 6 | 104.20.36.228 | United States | AS13335CLOUDFLARENET |
| 6 | 188.166.57.74 | United States | |
| 6 | 23.52.180.143 | Frankfurt am Main, Hesse, Germany | AS16625AKAMAI-AS |
| 6 | 108.138.7.97 | Unknown | |
| 6 | 13.107.213.44 | United States | AS8075MICROSOFT-CORP-MSN-AS-BLOCK |
| 6 | 142.250.185.168 | United States | AS15169GOOGLE |
| 6 | 185.45.20.48 | Aarhus, Central Jutland, Denmark | AS62138Aarhus Universitet |
| 68 | 10 | - | - |
Detected Technologies6
Content Similarity HashesFor malware variant detection
TLSH (Trend Micro Locality Sensitive Hash)
Security-focusedSpecialized for malware detection and similarity analysis
ssdeep (Context Triggered Piecewise Hashing)
Context-awareDetects similar content even with modifications
sdhash (Similarity Digest Hashing)
High-precisionHigh-precision similarity detection for forensic analysis
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
Other Hashes
Scan History
Scan history not available
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