Summary
This website contacted 19 IPs in 4 countries across 14 domains to perform 33 HTTP transactions. The main domain is ekaterinawclari.pages.dev and was registered NaN years ago.
Submitted URL: https://ekaterinawclari.pages.dev/gavnjck-horizon-hobby-black-friday-2024-xauwcog/
AI Security Verdict
High Risk
Confidence: 94%
Site is high‑risk phishing; malicious domain and compromised WordPress indicate active threat.
Risk Factors
Details
Page Title
Horizon Hobby Black Friday 2024 - Sonya Elianore
Scan Type
public
Language
English
Category
entertainment media
(58%)Domain Information
You're looking at domain 'ekaterinawclari.pages.dev' on the developer-focused generic top-level domain (.dev); it also runs on subdomain 'ekaterinawclari'. Count 5 characters in 'pages' split between 2 vowels and three consonants. Splitting it apart reveals one word: pages. Median word length is 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 | 144.208.65.174 | United States | AS22611INMOTION |
| 1 | 104.20.23.96 | United States | AS13335CLOUDFLARENET |
| 1 | 172.66.46.226 | United States | AS13335CLOUDFLARENET |
| 1 | 141.193.213.21 | United States | AS209242Cloudflare London, LLC |
| 1 | 150.171.27.10 | United States | AS8075MICROSOFT-CORP-MSN-AS-BLOCK |
| 1 | 150.171.28.10 | Unknown | |
| 1 | 50.6.152.23 | Ashburn, Virginia, United States | AS31898ORACLE-BMC-31898 |
| 1 | 172.66.45.30 | United States | AS13335CLOUDFLARENET |
| 1 | 2.18.64.200 | Frankfurt am Main, Hesse, Germany | AS20940Akamai International B.V. |
| 1 | 172.240.127.243 | United States | AS7979SERVERS-COM |
| 37 | 19 | - | - |
Detected Technologies10
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
Scan history not available
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