Summary
This website contacted 19 IPs in 2 countries across 5 domains to perform 17 HTTP transactions. The main domain is u96704po.beget.tech and was registered NaN years ago.
Submitted URL: http://u96704po.beget.tech/
The Cisco Umbrella rank of the primary domain is #483,951 of the top 1 million websites
AI Security Verdict
High Risk
Confidence: 92%
Site mimics VKontakte on a low‑ranked domain with circular redirects – high‑risk phishing.
Risk Factors
Details
Page Title
Мобильная версия ВКонтакте
Scan Type
public
Language
Russian
Category
social media network
(99%)Domain Information
Within the .tech top-level domain, 'u96704po.beget.tech' is registered, featuring subdomain 'u96704po'. The registrable portion 'beget' spans 5 characters holding two vowels versus three consonants. Word splitting yields 2 words: be, get. 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 |
|---|---|---|---|
| 9 | 185.50.25.57 | St Petersburg, St.-Petersburg, Russia | AS198610Beget LLC |
| 1 | 87.240.132.78 | Russia | AS47541VKontakte Ltd |
| 1 | 172.67.149.117 | United States | AS13335CLOUDFLARENET |
| 1 | 151.101.2.137 | San Francisco, California, United States | AS54113FASTLY |
| 0 | 87.240.129.133 | Russia | AS47541VKontakte Ltd |
| 0 | 104.21.29.163 | United States | AS13335CLOUDFLARENET |
| 0 | 2a04:4e42:600::649 | United States | AS54113FASTLY |
| 0 | 2606:4700:3032::6815:1da3 | United States | AS13335CLOUDFLARENET |
| 0 | 2606:4700:3031::ac43:9575 | United States | AS13335CLOUDFLARENET |
| 0 | 151.101.194.137 | San Francisco, California, United States | AS54113FASTLY |
| 17 | 19 | - | - |
Detected Technologies1
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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