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Security Scan Report: twww.onmlwww.kjihgbihgfedcblbvmg472update.65432admin.juegosfacebook-zynga.gn-math.dev

Redirected to:
https://twww.onmlwww.kjihgbihgfedcblbvmg472update.65432admin.juegosfac...
Submitted: May 5, 2026, 3:59:09 AMCompleted: May 5, 2026, 4:01:05 AMpubliccompleted
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Summary

This website contacted 37 IPs in 2 countries across 28 domains to perform 209 HTTP transactions. The main domain is twww.onmlwww.kjihgbihgfedcblbvmg472update.65432admin.juegosfacebook-zynga.gn-math.dev and was registered NaN years ago.

Submitted URL: http://twww.onmlwww.kjihgbihgfedcblbvmg472update.65432admin.juegosfacebook-zynga.gn-math.dev/

Effective URL: https://twww.onmlwww.kjihgbihgfedcblbvmg472update.65432admin.juegosfacebook-zynga.gn-math.dev/Redirected

The Cisco Umbrella rank of the primary domain is #518,265 of the top 1 million websites

AI Security Verdict

Moderate Risk

Confidence: 78%

5
Risk Score

The site shows moderate risk due to low reputation and heavily obfuscated JavaScript, but lacks phishing or malware indicators.

Risk Factors
Low domain reputation (unranked in top 100K)
Highly obfuscated JavaScript with eval() and external POST requests
Suspicious long subdomain containing brand names without proper brand claim
Safety Factors
No forms collecting credentials or payments
No Indicators of Compromise matched in threat intelligence
No malicious JavaScript YARA patterns detected
No network IDS alerts
Content classified as entertainment media
Domain age information unavailable

Details

Page Title

gn-math

Scan Type

public

Language

🇺🇸

English

(80% confidence)

Category

entertainment media

(94%)

Domain Information

The domain name 'twww.onmlwww.kjihgbihgfedcblbvmg472update.65432admin.juegosfacebook-zynga.gn-math.dev' uses the developer-focused generic top-level domain (.dev), featuring subdomain 'twww.onmlwww.kjihgbihgfedcblbvmg472update.65432admin.juegosfacebook-zynga'. The second-level label 'gn-math' is 7 characters long split between 1 vowel and five consonants; bonus characters include one hyphen. Segmentation suggests two words: gn, math. Average segment length settles at 3 characters. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of http://twww.onmlwww.kjihgbihgfedcblbvmg472update.65432admin.juegosfacebook-zynga.gn-math.dev/

Page Load Overview

5.09s
Total Load Time
209
HTTP Requests
28
Domains
16.6 MB
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:28,023 chars
Detector Agreement:100%

Website Classification

Primary Category

entertainment media94% confidence
Type: static
Method: ml+structural

All Detected Categories

entertainment media
94%
technology software
81%
education learning
78%
documentation technical
34%
corporate
25%

Detected Features

OG: website

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
29142.251.14.156United States
AS15169Google LLC
5142.251.14.157United States
AS15169Google LLC
5151.101.129.229United States
AS54113Fastly, Inc.
5142.251.14.154United States
AS15169Google LLC
5142.251.14.148United States
AS15169Google LLC
5172.66.162.81United States
AS13335Cloudflare, Inc.
5104.20.32.201United States
AS13335Cloudflare, Inc.
518.153.35.55Frankfurt am Main, Hesse, Germany
AS16509Amazon.com, Inc.
534.36.200.111Kansas City, Missouri, United States
AS396982Google LLC
5151.101.1.229United States
AS54113Fastly, Inc.
20937--

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T1DDB44AB2B502147F5E2380D572749B7B30E19B2FDEC2124633FC97E967CACE56A4A049

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

1536:7HgsVIGDMfgYJdLV9qe32njy4V1K8Z6ZXySH5yeUpaBGyYGQd737mA02kv2djPlj:EsOPx6gA

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:501636:qDggkF4AIBAIS1BiMAZGIiA1hgEPBDGQUxSBF0ABDIGQhComHwDF4IygIEboCICEBibBIKcNgVDhS6GtEEAkIJSghgGIjGRA

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:0000ffff00310108
Perceptual Hash:8ae5192ed1f1cc33
Difference Hash:0044b2b229692931
Wavelet Hash:0000ffff8d3f8d18
Color Hash:#5365ac

Other Hashes

Crop Resistant:0044b2b229692931

Scan History

Scan history not available

Unable to load historical scan data