Summary
This website contacted 30 IPs in 5 countries across 12 domains to perform 226 HTTP transactions. The main domain is adorafragrances.com and was registered NaN years ago.
Submitted URL: https://adorafragrances.com/
AI Security Verdict
High Risk
Confidence: 82%
High‑risk phishing site impersonating luxury perfume brands; do not trust.
Risk Factors
Details
Page Title
ADORA - Lyxparfymer Inspirerade av Tom Ford, Chanel & Louis Vuitton
Scan Type
public
Language
Swedish
Category
e-commerce shopping
(60%)Domain Information
Domain 'adorafragrances.com' uses the commercial generic top-level domain (.com). The registrable portion 'adorafragrances' spans 15 characters with 6 vowels and nine consonants. Segmentation suggests three words: a, dora, fragrances. Median word length comes out to four 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 |
|---|---|---|---|
| 140 | 23.227.38.65 | Ottawa, Ontario, Canada | AS13335CLOUDFLARENET |
| 15 | 185.172.148.132 | Germany | AS44239proinity GmbH |
| 15 | 23.227.39.200 | Ottawa, Ontario, Canada | AS13335CLOUDFLARENET |
| 7 | 34.120.110.54 | Kansas City, Missouri, United States | AS396982GOOGLE-CLOUD-PLATFORM |
| 7 | 18.172.112.72 | United States | AS16509AMAZON-02 |
| 7 | 3.161.82.32 | United States | AS16509AMAZON-02 |
| 7 | 54.211.232.171 | Ashburn, Virginia, United States | AS14618AMAZON-AES |
| 7 | 3.221.230.178 | Ashburn, Virginia, United States | AS14618AMAZON-AES |
| 7 | 34.120.87.25 | Kansas City, Missouri, United States | AS396982GOOGLE-CLOUD-PLATFORM |
| 7 | 3.174.46.23 | United States | AS16509AMAZON-02 |
| 226 | 30 | - | - |
Detected Technologies5
Content Similarity HashesFor malware variant detection
Image Hashes
Perceptual Hashes
Other Hashes
Scan History
Scan history not available
Unable to load historical scan data