Summary
API
This website contacted 3 IPs in 2 countries across 4 domains to perform 53 HTTP transactions. The main domain is evenemangsteknik.se and was registered 18 years ago.
Submitted URL: https://evenemangsgruppen.se
Effective URL:
AI Security Verdict
Low Risk
Confidence: 75%
Likely legitimate Swedish event-technology business site. No forms, no threat-intel matches, no malware patterns, and self-branding on the final domain. Cross-domain redirect is ordinary.
Safety Factors (5)
Details
Page Title
Evenemangsteknik
Scan Type
public
Domain Name Analysis
Domain 'evenemangsgruppen.se' uses the Swedish country-code top-level domain (.se) with no subdomain. The core label 'evenemangsgruppen' covers 17 characters holding 6 vowels versus 11 consonants. Tokenizing the label suggests six words: even, e, mang, s, gruppe, n. Average segment length settles at 2.5 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 |
|---|---|---|---|
| 19 | 93.188.2.51 | Sweden | AS39570Loopia AB |
| 17 | 192.178.183.95Google · CDN | United States | AS15169Google LLC |
| 17 | 192.178.183.94Google · CDN | United States | AS15169Google LLC |
| 53 | 3 | - | - |
Detected Technologies7
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