Summary
This website contacted 33 IPs in 4 countries across 12 domains to perform 107 HTTP transactions. The main domain is regeringen.se and was registered NaN years ago.
Submitted URL: https://www.regeringen.se/
AI Security Verdict
Safe Website
Confidence: 95%
The site appears legitimate with no security concerns.
Safety Factors
Details
Page Title
Startsidan - Regeringen.se
Scan Type
public
Language
Swedish
Category
government public service
(80%)Domain Information
The domain 'www.regeringen.se' uses the Swedish country-code top-level domain (.se) and includes subdomain 'www'. Count 10 characters in 'regeringen' containing 4 vowels alongside six consonants. Splitting it apart reveals three words: reger, in, gen. Median word length is 3 characters. 'in' is most common in Slovenian usage. Secondary signals appear in Dutch and Afrikaans. Overall, 'www.regeringen.se' reads as Slovenian.
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 | 194.14.242.30 | Sweden | AS12552GlobalConnect AB |
| 3 | 83.145.32.100 | Stockholm, Stockholm County, Sweden | AS12552GlobalConnect AB |
| 3 | 185.111.111.157 | Frankfurt am Main, Hesse, Germany | AS212238Datacamp Limited |
| 3 | 142.250.184.227 | United States | AS15169GOOGLE |
| 3 | 213.132.98.202 | Märsta, Stockholm County, Sweden | AS12552GlobalConnect AB |
| 3 | 37.19.194.81 | Frankfurt am Main, Hesse, Germany | AS60068Datacamp Limited |
| 3 | 185.21.145.151 | Sweden | AS197308Telia Cygate AB |
| 3 | 213.132.98.206 | Märsta, Stockholm County, Sweden | AS12552GlobalConnect AB |
| 3 | 104.18.26.94 | United States | AS13335CLOUDFLARENET |
| 3 | 104.18.27.94 | United States | AS13335CLOUDFLARENET |
| 107 | 33 | - | - |
Detected Technologies7
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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