Summary
This website contacted 11 IPs in 3 countries across 4 domains to perform 41 HTTP transactions. The main domain is ku.dk and was registered NaN years ago.
Submitted URL: https://www.ku.dk/en
The Cisco Umbrella rank of the primary domain is #122,619 of the top 1 million websites
AI Security Verdict
Safe Website
Confidence: 95%
The site appears legitimate with no security concerns.
Safety Factors
Details
Page Title
University of Copenhagen - University of Copenhagen
Scan Type
public
Language
English
Category
technology software
(70%)Domain Information
The domain 'www.ku.dk' uses the Danish country-code top-level domain (.dk), featuring subdomain 'www'. The core label 'ku' covers 2 characters holding 1 vowel versus 1 consonant. Breaking it apart gives 1 word: ku. 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 |
|---|---|---|---|
| 11 | 151.101.2.216 | San Francisco, California, United States | AS54113FASTLY |
| 3 | 20.79.214.157 | Frankfurt am Main, Hesse, Germany | AS8075MICROSOFT-CORP-MSN-AS-BLOCK |
| 3 | 13.107.213.45 | United States | AS8075MICROSOFT-CORP-MSN-AS-BLOCK |
| 3 | 128.251.218.65 | Amsterdam, North Holland, Netherlands | AS8075MICROSOFT-CORP-MSN-AS-BLOCK |
| 3 | 151.101.130.216 | San Francisco, California, United States | AS54113FASTLY |
| 3 | 151.101.66.216 | San Francisco, California, United States | AS54113FASTLY |
| 3 | 151.101.194.216 | San Francisco, California, United States | AS54113FASTLY |
| 3 | 13.107.246.45 | United States | AS8075MICROSOFT-CORP-MSN-AS-BLOCK |
| 3 | 2603:1020:c01:4::48 | Frankfurt am Main, Hesse, Germany | AS8075MICROSOFT-CORP-MSN-AS-BLOCK |
| 3 | 2620:1ec:bdf::45 | United States | AS8075MICROSOFT-CORP-MSN-AS-BLOCK |
| 41 | 11 | - | - |
Detected Technologies5
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
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