Summary
This website contacted 27 IPs in 3 countries across 9 domains to perform 145 HTTP transactions. The main domain is beta.netonnet.se and was registered NaN years ago.
Submitted URL: https://beta.netonnet.se/
The Cisco Umbrella rank of the primary domain is #821,513 of the top 1 million websites
AI Security Verdict
Safe Website
Confidence: 95%
Legitimate NetOnNet site with no security concerns.
Safety Factors
Details
Page Title
Hemelektronik till Lagerpris | NetOnNet
Scan Type
public
Language
Swedish
Category
unknown
(0%)Domain Information
Within the Swedish country-code top-level domain (.se), 'beta.netonnet.se' is registered with subdomain 'beta'. The registrable portion 'netonnet' spans 8 characters split between 3 vowels and five consonants. Segmentation suggests 3 words: net, on, net. 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 |
|---|---|---|---|
| 69 | 91.198.164.23 | Sweden | AS1257Tele2 SWIPnet |
| 32 | 91.198.164.62 | Sweden | AS1257Tele2 SWIPnet |
| 25 | 13.32.121.110 | New York, New York, United States | AS16509AMAZON-02 |
| 7 | 91.198.164.24 | Sweden | AS1257Tele2 SWIPnet |
| 5 | 13.32.121.121 | New York, New York, United States | AS16509AMAZON-02 |
| 5 | 91.198.164.61 | Sweden | AS1257Tele2 SWIPnet |
| 5 | 13.32.121.21 | New York, New York, United States | AS16509AMAZON-02 |
| 5 | 13.32.121.75 | New York, New York, United States | AS16509AMAZON-02 |
| 5 | 23.36.162.200 | Frankfurt am Main, Hesse, Germany | AS20940Akamai International B.V. |
| 5 | 23.36.162.220 | Frankfurt am Main, Hesse, Germany | AS20940Akamai International B.V. |
| 145 | 27 | - | - |
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
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