Summary
This website contacted 4 IPs in 2 countries across 6 domains to perform 86 HTTP transactions. The main domain is aau.dk and was registered NaN years ago.
Submitted URL: https://aau.dk
Effective URL: https://www.aau.dk/Redirected
The Cisco Umbrella rank of the primary domain is #336,337 of the top 1 million websites
AI Security Verdict
High Risk
Confidence: 85%
Legitimate university site but critical IDS alerts indicate it is likely compromised and serving malware; avoid interaction and report.
Risk Factors
Details
Page Title
AAU - Viden for verden - Aalborg Universitet
Scan Type
public
Language
Danish
Category
corporate
(50%)Domain Information
The domain name 'aau.dk' uses the Danish country-code top-level domain (.dk) and has no subdomain. The second-level label 'aau' is 3 characters long holding three vowels versus zero consonants. Splitting it apart reveals 1 word: aau. Expect 3 characters per word on average. 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 |
|---|---|---|---|
| 24 | 20.224.132.89 | Amsterdam, North Holland, Netherlands | AS8075Microsoft Corporation |
| 22 | 20.50.88.241 | Amsterdam, North Holland, Netherlands | AS8075Microsoft Corporation |
| 22 | 150.171.109.101 | United States | AS8075Microsoft Corporation |
| 22 | 142.251.14.97 | United States | AS15169Google LLC |
| 90 | 4 | - | - |
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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