Security Scan Report: ghetto.ru

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Submitted: Jun 29, 2026, 10:55:18 PMCompleted: Jun 29, 2026, 10:56:35 PMpubliccompleted
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Summary

This website contacted 2 IPs in 2 countries across 2 domains to perform 2 HTTP transactions. The main domain is ghetto.ru and was registered NaN years ago.

Submitted URL: https://ghetto.ru

AI Security Verdict

Low Risk

Confidence: 78%

3
Risk Score

Site appears legitimate with no credential collection; moderate risk due to obfuscated scripts and many redirects.

Risk Factors
High JavaScript obfuscation score (base64, charcode manipulation, excessive concatenation)
Excessive redirects (10 detected)
Safety Factors
Well‑established domain with long registration history
Self‑branding, not impersonating another brand
No credential or payment collection forms
No network‑level IDS alerts or malicious external links
Verdict cited a credential/login form, but DOM analysis found no password field (real or disguised) or payment field, and no other hard signal — credential-phishing framing unsupported; risk adjusted from 4 to 3
Domain age information unavailable

Details

Page Title

Ghetto Flava - Независимый хип-хоп ресурс - Underground Rap & Hip-Hop

Scan Type

public

Language

🇷🇺

Russian

(64% confidence)

Category

social media network

(55%)

Domain Information

You're looking at domain 'ghetto.ru' on the Russian country-code top-level domain (.ru) while skipping any subdomain. The registrable portion 'ghetto' spans 6 characters containing two vowels alongside four consonants. Segmentation suggests one word: ghetto. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://ghetto.ru

Page Load Overview

8.31s
Total Load Time
138
HTTP Requests
4
Domains
3.0 MB
Total Size

Language Analysis

Primary Language

🇷🇺Russian
Code: ru
Confidence:64%
Script:Cyrillic
Direction:ltr

Detection Details

Language Code:ru
Detection Confidence:64%
Script Type:Cyrillic
Text Length:8,152 chars
Detector Agreement:75%

Website Classification

Primary Category

social media network55% confidence
Type: dynamic
Method: ml+structural

All Detected Categories

social media network
55%
entertainment media
33%

Detected Features

Search

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
6931.129.110.44St Petersburg, St.-Petersburg, Russia
AS198610Beget LLC
69142.251.20.95United States
AS15169Google LLC
1382--

Detected Technologies3

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T182438533C9E5205E22C2D2C1D5357A0DAD4352EFAF8B3A01F5AC1BB53BA2DE5C5A214D

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

384:Qro1a/yMhDrVhMInBqr9mgAr+yHWA+w7U82KDfdX8uDr3cKyDD+W2jOFpF:QVPVhXqr9VyHi58ZmuUK0SW2jOFpF

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:58780:lAABIIEAzOQLDEKA4ICCACCTVALk9EHMEFRwDAhIYCoCLFkUGWEYIghqQkiwwAA4CAesAoEFyCABA2UCAIjJFxhCQIEBAcGU

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:3c2e380c28383c08
Perceptual Hash:8b3346c631ce4de5
Difference Hash:415cd3595163e153
Wavelet Hash:3d2f39293d393d08
Color Hash:#5371ac

Scan History

Scan history not available

Unable to load historical scan data