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Security Scan Report: sogome.sbs

Submitted: Mar 15, 2026, 7:43:22 PMCompleted: Mar 15, 2026, 7:44:59 PMpubliccompleted
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Summary

This website contacted 8 IPs in 4 countries across 8 domains to perform 307 HTTP transactions. The main domain is sogome.sbs and was registered NaN years ago.

Submitted URL: https://sogome.sbs/desktop/game/slot/ameba

AI Security Verdict

Moderate Risk

Confidence: 80%

4
Risk Score

New gambling site with login form; moderate risk – avoid entering credentials.

Risk Factors
Very new domain (<7 days) increases phishing likelihood
Login form on a newly registered domain
Unranked domain with no established reputation
Safety Factors
No malicious Indicators of Compromise matches found
No JavaScript malware patterns detected
No credential exfiltration observed in network analysis
Standard external resources (CDNs, analytics) are benign
Domain age information unavailable

Details

Page Title

SOGOSLOT - LINK : SOGOPRO.XYZ - TELE @SOGOSLOT

Scan Type

public

Language

🇮🇩

ID

(80% confidence)

Category

entertainment media

(52%)

Domain Information

Domain 'sogome.sbs' uses the .sbs top-level domain and has no subdomain. The core label 'sogome' covers 6 characters with 3 vowels and three consonants. Segmentation suggests three words: so, go, me. Median word length is 2 characters. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://sogome.sbs/desktop/game/slot/ameba

Page Load Overview

10.94s
Total Load Time
287
HTTP Requests
14
Domains
6.5 MB
Total Size

Language Analysis

Primary Language

🇮🇩Indonesian
Code: id
Confidence:80%
Script:Unknown
Direction:ltr

Detection Details

Language Code:id
Detection Confidence:80%
Script Type:Unknown
HTML Lang Attribute:id
Text Length:1,648 chars
Detector Agreement:60%

Website Classification

Primary Category

entertainment media52% confidence
Type: spa
Method: ml+structural

All Detected Categories

entertainment media
52%
gambling betting
50%
social media network
33%
social_media
25%
forum
20%

Detected Features

Login Form

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
4257.144.110.128Warsaw, Mazovia, Poland
AS32934Facebook, Inc.
3523.36.162.25Frankfurt am Main, Hesse, Germany
AS20940Akamai International B.V.
35108.138.24.148United States
AS16509Amazon.com, Inc.
3523.50.131.150Frankfurt am Main, Hesse, Germany
AS20940Akamai International B.V.
35142.251.141.106United States
AS15169Google LLC
352.23.7.8Frankfurt am Main, Hesse, Germany
AS20940Akamai International B.V.
35172.67.158.17United States
AS13335Cloudflare, Inc.
35103.21.220.130Hong Kong, Hong Kong
AS133752LEASEWEB HONG KONG LIMITED
2878--

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T13C040F3214F2342312B390E179A1AA4BEFD0E207C66B8F44B1FC57A55FD7E969C03669

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

768:FQpCY+VkJPFtT6IF/Fv/FqRWdT1dbUW+ciPE9tCvbJeVcpccvcO90/SISYF:FCCY++JPFtT6IVZ/111dbgPEq1rccvaF

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:188540:YHIQyYxEAJBEEjBQUQEAmMDQlDMRmAQQSEAUIBBRFACZIuQwYKKFAuLWqhlBAgglIMiCIqqDOURkoJIXgwAgqSBgOZICQDCB

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:25183c38013f3f3b
Perceptual Hash:8f50a72775ca8731
Difference Hash:4db0f171f3636b6b
Wavelet Hash:35183c38013f3f3f
Color Hash:#a6ac53

Other Hashes

Crop Resistant:dd21b357f14c6c62,d4d2f2b271f5d9d8,4db0f171f3636b6b

Scan History

Scan history not available

Unable to load historical scan data