Summary
API
Submitted URL: https://bornholmbornholmbornholm.nu
AI Security Verdict
Low Risk
Confidence: 72%
Danish sexology school site on its own domain, reached via a one-hop redirect. No forms capturing credentials or payment, no threat-intel, YARA or IDS hits. Only a newsletter signup; no malicious signals found.
Safety Factors (5)
Details
Page Title
Sexologiskolen – Nordens førende skole indenfor sexologi & parterapi
Scan Type
public
Domain Name Analysis
Within the .nu country-code top-level domain, 'bornholmbornholmbornholm.nu' is registered without a subdomain. Count 24 characters in 'bornholmbornholmbornholm' split between 6 vowels and 18 consonants. Splitting it apart reveals three words: bornholm, bornholm, bornholm. Average segment length settles at 8 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 |
|---|---|---|---|
| 16 | 94.237.94.6 | Frankfurt am Main, Hesse, Germany | AS202053UpCloud Ltd |
| 5 | 188.114.97.9Cloudflare · WAF | United States | AS13335Cloudflare, Inc. |
| 5 | 142.251.154.119Google · CDN | United States | AS15169Google LLC |
| 5 | 142.251.110.97Google · CDN | United States | AS15169Google LLC |
| 5 | 142.251.14.94Google · CDN | United States | AS15169Google LLC |
| 5 | 104.18.23.56Cloudflare · WAF | United States | AS13335Cloudflare, Inc. |
| 5 | 157.240.0.6Facebook · CDN | Frankfurt am Main, Hesse, Germany | AS32934Facebook, Inc. |
| 5 | 157.240.0.35Facebook · CDN | Frankfurt am Main, Hesse, Germany | AS32934Facebook, Inc. |
| 5 | 216.239.32.36Google · CDN | United States | AS15169Google LLC |
| 5 | 142.251.20.156Google · CDN | United States | AS15169Google LLC |
| 126 | 23 | - | - |
Detected Technologies14
Content Similarity HashesFor malware variant detection
TLSH (Trend Micro Locality Sensitive Hash)
Specialized for malware detection and similarity analysis
ssdeep (Context Triggered Piecewise Hashing)
Detects 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
Unable to load historical scan data