Security Scan Report: goplayvox.sbs

Submitted: Mar 24, 2026, 9:53:52 PMCompleted: Mar 24, 2026, 9:55:12 PMpubliccompleted
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Summary

This website contacted 6 IPs in 1 country across 6 domains to perform 80 HTTP transactions. The main domain is goplayvox.sbs and was registered NaN years ago.

Submitted URL: https://goplayvox.sbs/

AI Security Verdict

Safe Website

Confidence: 99%

0
Risk Score

AI analysis skipped: HTTP 404 error page with no meaningful content to analyze.

Safety Factors
Error/status page with no actionable content
No forms, scripts, or interactive elements detected
Domain age information unavailable

Details

Page Title

Vegas Keno

Scan Type

public

Language

🇺🇸

English

(80% confidence)

Category

entertainment media

(69%)

Domain Information

Domain 'goplayvox.sbs' uses the .sbs top-level domain and has no subdomain. The registrable portion 'goplayvox' spans 9 characters containing 3 vowels alongside six consonants. Breaking it apart gives 3 words: go, play, vox. Average segment length settles at 3 characters. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://goplayvox.sbs/

Page Load Overview

0.24s
Total Load Time
1
HTTP Requests
1
Domains
N/A
Total Size

Language Analysis

Primary Language

🇺🇸English
Code: en
Confidence:80%
Script:Latin
Direction:ltr

Detection Details

Language Code:en
Detection Confidence:80%
Script Type:Latin
HTML Lang Attribute:en
Text Length:204 chars
Detector Agreement:100%

Website Classification

Primary Category

entertainment media69% confidence
Type: static
Method: ml+structural

All Detected Categories

entertainment media
69%
news media journalism
47%
gambling betting
47%
government public service
43%
adult content
43%

Detected Features

No structural features detected

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
1142.250.186.86United States
0185.199.109.153United States
0172.217.16.163United States
0104.17.25.14United States
0104.21.84.121United States
0142.250.201.170United States
16--

Detected Technologies3

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T16D941270A026163E1B07A8D8780A7F8E3D86160FD8A4CAE9FFFD50955B8ED44055FE9C

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

12288:CqOXymypp2bxY5gFxnrF2woDNElf9ZcI2/yr3QP:CqgpypQxbFt5foDecILcP

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:444741:iIQUhQYORRovkmg4JThbCNGzUAJAkjGwYTpMASJHCFKAJqWw2gwYBERakEIAE4TBAEAIIABQFgAJKQkNHYM2d0TAQCpQJQGK

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:c1c1c1c181fbffff
Perceptual Hash:e96992ce0e96c593
Difference Hash:3313131333430002
Wavelet Hash:8181818181f9ffff
Color Hash:#b7c587

Other Hashes

Scan History

Scan history not available

Unable to load historical scan data