Security Scan Report: gbcity.online

Submitted: Mar 16, 2026, 12:09:04 AMCompleted: Mar 16, 2026, 12:10:26 AMpubliccompleted
Loading additional data...

Summary

This website contacted 8 IPs in 2 countries across 8 domains to perform 1 HTTP transaction. The main domain is gbcity.online and was registered NaN years ago.

Submitted URL: https://gbcity.online/games/mancala

AI Security Verdict

Moderate Risk

Confidence: 78%

5
Risk Score

New gambling site with suspicious login forms; moderate risk – do not provide credentials.

Risk Factors
Disguised password field (type=text with password placeholder)
Unicode evasion in form fields
Password fields without accompanying username/email fields
Safety Factors
Gambling content justifies presence of login forms
No payment or credit‑card fields observed
No malicious Indicators of Compromise detected
No JavaScript malware patterns found
External resources loaded from reputable CDNs (cdnjs, cloudflare, jsdelivr, fonts.googleapis.com)
Domain age information unavailable

Details

Page Title

Gambit City | Mancala - Play all the best slots online!

Scan Type

public

Language

🇺🇸

English

(55% confidence)

Category

entertainment media

(83%)

Domain Information

Within the modern generic top-level domain (.online), 'gbcity.online' is registered without a subdomain. Its registrable label 'gbcity' stretches across 6 characters containing 1 vowel alongside 5 consonants. Word splitting yields 2 words: gb, city. Median word length is three characters. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://gbcity.online/games/mancala

Page Load Overview

6.56s
Total Load Time
189
HTTP Requests
9
Domains
8.2 MB
Total Size

Language Analysis

Primary Language

🇺🇸English
Code: en
Confidence:55%
Script:Latin
Direction:ltr

Detection Details

Language Code:en
Detection Confidence:55%
Script Type:Latin
Text Length:4,149 chars
Detector Agreement:100%

Website Classification

Primary Category

entertainment media83% confidence
Type: spa
Method: ml+structural

All Detected Categories

entertainment media
83%
gambling betting
67%
cryptocurrency blockchain
31%
adult content
28%
finance banking
27%

Detected Features

OG: website

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
282.17.100.137Frankfurt am Main, Hesse, Germany
AS20940Akamai International B.V.
23104.16.175.226United States
23104.17.24.14United States
23104.21.84.191United States
AS13335Cloudflare, Inc.
23142.251.208.10United StatesUnknown
23104.26.1.187United States
AS13335Cloudflare, Inc.
232.16.1.171United StatesUnknown
2323.50.131.150United StatesUnknown
1898--

Detected Technologies9

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T1B5C3A522B0F500370263D1D16E67BB09AE62A51BDD845514B2BD4FA1AFCBEF8BC1359C

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

768:39Xt9YOGTpSYovwy6mRadvZdFTf4fPvP6/VtpxW+hQNMTyQ2Flnh6IO/E1g:60Yovw3dZdFTf4fHCN/xrW3iE6

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:126490:MlKngAO4AwEDSWFYPDalg5ADZEQiBGGMoBRAAAkiYYdERlnoAAIhAkLAYbEceDFdMwUEEWxQp2SubwMDYBQCBpBDsDpkUici

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:013c3e7e3c007c2c
Perceptual Hash:929d2f6929952e87
Difference Hash:73f0f4f0d027dccc
Wavelet Hash:013e7e7e3c007e3c
Color Hash:#642dd2

Scan History

Scan history not available

Unable to load historical scan data