Summary
This website contacted 60 IPs in 4 countries across 24 domains to perform 120 HTTP transactions. The main domain is miun.se and was registered NaN years ago.
Submitted URL: https://www.miun.se/
The Cisco Umbrella rank of the primary domain is #823,174 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
Mittuniversitetet – utbildning, forskning och arbetslivskontakter | miun.se
Scan Type
public
Language
Swedish
Category
technology software
(32%)Domain Information
You're looking at domain 'www.miun.se' on the Swedish country-code top-level domain (.se), featuring subdomain 'www'. The core label 'miun' covers 4 characters containing 2 vowels alongside 2 consonants. Word splitting yields two words: mi, un. Average segment length settles at two characters. 'mi' is most common in Esperanto usage. It also appears in Latvian and Italian contexts. Taken together, it feels Esperanto.
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 |
|---|---|---|---|
| 2 | 193.234.47.10 | Sweden | AS8473Bahnhof AB |
| 2 | 142.250.181.232 | United States | AS15169GOOGLE |
| 2 | 142.250.186.163 | United States | AS15169GOOGLE |
| 2 | 166.117.105.37 | United States | AS16509AMAZON-02 |
| 2 | 142.250.184.227 | United States | AS15169GOOGLE |
| 2 | 20.50.88.245 | Amsterdam, North Holland, Netherlands | AS8075MICROSOFT-CORP-MSN-AS-BLOCK |
| 2 | 193.234.47.14 | Sweden | AS8473Bahnhof AB |
| 2 | 142.250.185.142 | United States | AS15169GOOGLE |
| 2 | 172.66.174.217 | United States | AS13335CLOUDFLARENET |
| 2 | 142.250.185.106 | United States | AS15169GOOGLE |
| 120 | 60 | - | - |
Detected Technologies17
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
Scan History
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