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Security Scan Report: m0kii0gem0kie0cawhm.90758765siriuate.98765432juegosfacebook-zynga.gn-math.dev

Submitted: May 14, 2026, 8:00:11 AMCompleted: May 14, 2026, 8:05:35 AMpubliccompleted
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Summary

This website contacted 0 IPs in 0 countries across 35 domains to perform 0 HTTP transactions. The main domain is m0kii0gem0kie0cawhm.90758765siriuate.98765432juegosfacebook-zynga.gn-math.dev and was registered NaN years ago.

Submitted URL: http://m0kii0gem0kie0cawhm.90758765siriuate.98765432juegosfacebook-zynga.gn-math.dev/

AI Security Verdict

Low Risk

Confidence: 82%

2
Risk Score

The site shows low risk: old enough domain, no forms or malicious indicators, but its unranked, random subdomain warrants caution.

Risk Factors
Domain is UNRANKED in Cisco Umbrella (no reputation data)
Long, random subdomain pattern suggests possible typosquatting or throw‑away domain
Safety Factors
No forms or credential collection on the page
No malicious scripts or obfuscation detected
No external malicious links or known bad domains
Domain age information unavailable

Details

Page Title

gn-math

Scan Type

public

Language

🇺🇸

English

(80% confidence)

Category

technology software

(83%)

Domain Information

You're looking at domain 'm0kii0gem0kie0cawhm.90758765siriuate.98765432juegosfacebook-zynga.gn-math.dev' on the developer-focused generic top-level domain (.dev) with subdomain 'm0kii0gem0kie0cawhm.90758765siriuate.98765432juegosfacebook-zynga'. The registrable portion 'gn-math' spans 7 characters containing one vowel alongside five consonants; bonus characters include 1 hyphen. Segmentation suggests 2 words: gn, math. Median word length comes out to 3 characters. No strong language cues emerged from the frequency lists.

Screenshot

Screenshot not available

Page Load Overview

101.53s
Total Load Time
0
HTTP Requests
0
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:373 chars
Detector Agreement:100%

Website Classification

Primary Category

technology software83% confidence
Type: dynamic
Method: ml+structural

All Detected Categories

technology software
83%
forum community discussion
73%
documentation technical
73%
social media network
37%
corporate
25%

Detected Features

OG: website

Detected Technologies2

Open-Graph-Protocolvwebsite
100%
jsDelivr
20%

Content Similarity HashesFor malware variant detection

Image Hashes

Perceptual Hashes

Average Hash:N/A
Perceptual Hash:N/A
Difference Hash:N/A
Wavelet Hash:N/A
Color Hash:N/A

Other Hashes

Crop Resistant:N/A

Scan History

Scan history not available

Unable to load historical scan data