Security Scan Report: u967289v.beget.tech

Submitted: Oct 23, 2025, 12:14:19 AMCompleted: Oct 23, 2025, 12:16:00 AMpubliccompleted
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Summary

This website contacted 19 IPs in 2 countries across 4 domains to perform 14 HTTP transactions. The main domain is u967289v.beget.tech and was registered NaN years ago.

Submitted URL: http://u967289v.beget.tech/

AI Security Verdict

Confirmed Scam

Confidence: 95%

9
Risk Score

Site impersonates VKontakte with circular redirects; treat as confirmed phishing scam.

Risk Factors
Brand impersonation (VKontakte) on an unranked domain
Circular redirect (strong indicator of URL manipulation)
Unranked domain presenting a major brand name
Domain age information unavailable

Details

Page Title

Мобильная версия ВКонтакте

Scan Type

public

Language

🇷🇺

Russian

(50% confidence)

Category

social media network

(99%)

Domain Information

Domain 'u967289v.beget.tech' uses the .tech top-level domain with subdomain 'u967289v'. Count 5 characters in 'beget' split between two vowels and 3 consonants. Breaking it apart gives two words: be, get. Average segment length settles at 2.5 characters. 'be' most often appears in Chinese (Pinyin). You may catch it in English and Hungarian as well.

Screenshot

Security scan screenshot of http://u967289v.beget.tech/

Page Load Overview

75.00s
Total Load Time
14
HTTP Requests
4
Domains
34 KB
Total Size

Language Analysis

Primary Language

🇷🇺Russian
Code: ru
Confidence:50%
Script:Cyrillic
Direction:ltr

Detection Details

Language Code:ru
Detection Confidence:50%
Script Type:Cyrillic
Text Length:201 chars
Detector Agreement:100%

Website Classification

Primary Category

social media network99% confidence
Type: static
Method: ml+structural

All Detected Categories

social media network
99%

Detected Features

No structural features detected

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
1487.240.132.78Russia
AS47541VKontakte Ltd
0172.67.149.117United States
AS13335CLOUDFLARENET
0104.21.29.163United States
AS13335CLOUDFLARENET
0185.50.25.7St Petersburg, St.-Petersburg, Russia
AS198610Beget LLC
0151.101.2.137San Francisco, California, United States
AS54113FASTLY
02606:4700:3032::6815:1da3United States
AS13335CLOUDFLARENET
02a04:4e42:400::649United States
AS54113FASTLY
087.240.129.133Russia
AS47541VKontakte Ltd
087.240.132.67Russia
AS47541VKontakte Ltd
02a04:4e42:600::649United States
AS54113FASTLY
1419--

Detected Technologies3

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T1BC329372D409A86B41554888FC117E477BDA83BC7AB7864B41F0AD6F66E3C62CB2443E

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

192:PW3HWC0g7eOfJNPvJbaqhbNpTvJbaqhbNpsy:+9T3Pdhjdh8y

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:11924:FwgCkBE+FA0F2DRAjeSFhJ9EAUHNkAIFSIID/GMClEKSkXLYo0QIkiAKkVbHkDpgEMDgkmhJIC0AFSAjDCgYA7BJEBqICQUr

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

Average Hash:00e7e7ffffffffff
Perceptual Hash:e666664e4e4e4666
Difference Hash:680c0c2004000000
Wavelet Hash:00c3c3fff0f0f0f0
Color Hash:#5391ac

Scan History

Scan history not available

Unable to load historical scan data