Summary
This website contacted 25 IPs in 4 countries across 9 domains to perform 432 HTTP transactions. The main domain is felix.se and was registered NaN years ago.
Submitted URL: https://www.felix.se/
AI Security Verdict
Safe Website
Confidence: 95%
Site appears legitimate with no security concerns.
Safety Factors
Details
Page Title
God mat från Sverige - Utan tillsatser eller konstigheter | Felix
Scan Type
public
Language
Swedish
Category
blog personal website
(45%)Domain Information
You're looking at domain 'www.felix.se' on the Swedish country-code top-level domain (.se) and includes subdomain 'www'. Count 5 characters in 'felix' holding 2 vowels versus 3 consonants. Tokenizing the label suggests 1 word: felix. 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 |
|---|---|---|---|
| 356 | 139.162.131.41 | Frankfurt am Main, Hesse, Germany | AS63949Akamai Connected Cloud |
| 24 | 184.24.77.144 | Frankfurt am Main, Hesse, Germany | AS20940Akamai International B.V. |
| 17 | 104.18.86.42 | United States | AS13335CLOUDFLARENET |
| 17 | 16.16.42.154 | Stockholm, Stockholm County, Sweden | AS16509AMAZON-02 |
| 17 | 2606:4700::6812:562a | United States | AS13335CLOUDFLARENET |
| 17 | 2a06:98c1:3104::6812:2089 | United States | AS13335CLOUDFLARENET |
| 17 | 23.32.238.211 | Frankfurt am Main, Hesse, Germany | AS20940Akamai International B.V. |
| 17 | 2a02:26f0:7100::1720:ef50 | Frankfurt am Main, Hesse, Germany | AS20940Akamai International B.V. |
| 17 | 2a02:26f0:3500:8::210:a58 | Frankfurt am Main, Hesse, Germany | AS20940Akamai International B.V. |
| 17 | 2606:4700::6812:572a | United States | AS13335CLOUDFLARENET |
| 432 | 25 | - | - |
Detected Technologies4
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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