Summary
API
This website contacted 48 IPs in 5 countries across 30 domains to perform 241 HTTP transactions. The main domain is omlet.se and was registered 22 years ago.
Submitted URL: https://omlet.se
Effective URL:
AI Security Verdict
Safe Website
Confidence: 92%
The site appears legitimate, with an established domain, self‑branding, and no malicious indicators.
Safety Factors (4)
Details
Page Title
Omlet | Fantastiska husdjursprodukter designade för att föra er närmare varandra
Scan Type
public
Domain Name Analysis
The domain name 'omlet.se' uses the Swedish country-code top-level domain (.se) while skipping any subdomain. The second-level label 'omlet' is 5 characters long split between 2 vowels and 3 consonants. Word splitting yields 2 words: om, let. The median word length lands 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 |
|---|---|---|---|
| 6 | 146.75.121.91Fastly · CDN | Frankfurt am Main, Hesse, Germany | AS54113Fastly, Inc. |
| 5 | 5.10.31.121 | United Kingdom | AS12703Pulsant (Scotland) Ltd |
| 5 | 185.111.111.157 | Frankfurt am Main, Hesse, Germany | AS212238Datacamp Limited |
| 5 | 142.251.14.97Google · CDN | United States | AS15169Google LLC |
| 5 | 146.75.122.133Fastly · CDN | Frankfurt am Main, Hesse, Germany | AS54113Fastly, Inc. |
| 5 | 104.18.7.168Cloudflare · WAF | United States | AS13335Cloudflare, Inc. |
| 5 | 108.138.7.103Cloudfront · CDN | United States | AS16509Amazon.com, Inc. |
| 5 | 157.240.0.6Facebook · CDN | Frankfurt am Main, Hesse, Germany | AS32934Facebook, Inc. |
| 5 | 23.53.40.251Akamai · CDN | Frankfurt am Main, Hesse, Germany | AS20940Akamai International B.V. |
| 5 | 142.251.14.95Google · CDN | United States | AS15169Google LLC |
| 241 | 48 | - | - |
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