Summary
This website contacted 3 IPs in 1 country across 3 domains to perform 2 HTTP transactions. The main domain is solleftea.se and was registered NaN years ago.
Submitted URL: http://www.solleftea.se
Effective URL: https://www.solleftea.se/Redirected
AI Security Verdict
Safe Website
Confidence: 93%
The site appears to be a legitimate municipal website with no phishing, malware, or scam indicators.
Safety Factors
Details
Page Title
Sollefteå kommun - Sollefteå kommun
Scan Type
public
Language
Swedish
Category
adult content
(88%)Domain Information
The domain name 'www.solleftea.se' uses the Swedish country-code top-level domain (.se); it also runs on subdomain 'www'. Count 9 characters in 'solleftea' split between 4 vowels and five consonants. Breaking it apart gives three words: sol, left, ea. Average segment length settles 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 |
|---|---|---|---|
| 20 | 194.103.3.87 | Sollefteå, Västernorrland County, Sweden | AS5763084 Grams AB |
| 18 | 103.81.140.95 | Sweden | AS42695Cleura AB |
| 18 | 194.103.3.74 | Sollefteå, Västernorrland County, Sweden | AS5763084 Grams AB |
| 56 | 3 | - | - |
Detected Technologies2
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