Summary
This website contacted 79 IPs in 5 countries across 20 domains to perform 73 HTTP transactions. The main domain is folkuniversitetet.se and was registered NaN years ago.
Submitted URL: https://www.folkuniversitetet.se/
AI Security Verdict
Safe Website
Confidence: 96%
Legitimate educational site with no security concerns.
Safety Factors
Details
Page Title
Folkuniversitetet - kurser, utbildningar, skolor - Folkuniversitetet
Scan Type
public
Language
Swedish
Category
education
(35%)Domain Information
Domain 'www.folkuniversitetet.se' uses the Swedish country-code top-level domain (.se) with subdomain 'www'. The second-level label 'folkuniversitetet' is 17 characters long split between seven vowels and 10 consonants. It segments into four words: folk, universit, et, et. The median word length lands at 3 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 |
|---|---|---|---|
| 28 | 104.18.36.116 | United States | AS13335CLOUDFLARENET |
| 7 | 172.217.23.104 | United States | AS15169GOOGLE |
| 5 | 142.250.74.196 | United States | AS15169GOOGLE |
| 5 | 142.250.184.227 | United States | AS15169GOOGLE |
| 4 | 216.58.206.66 | United States | AS15169GOOGLE |
| 4 | 23.36.162.25 | Frankfurt am Main, Hesse, Germany | AS20940Akamai International B.V. |
| 3 | 157.240.0.35 | Frankfurt am Main, Hesse, Germany | AS32934FACEBOOK |
| 2 | 172.67.74.174 | United States | AS13335CLOUDFLARENET |
| 2 | 157.240.0.6 | Frankfurt am Main, Hesse, Germany | AS32934FACEBOOK |
| 2 | 20.50.88.244 | Amsterdam, North Holland, Netherlands | AS8075MICROSOFT-CORP-MSN-AS-BLOCK |
| 73 | 79 | - | - |
Detected Technologies3
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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