Security Scan Report: whm.oo0mkrn0ljj0hfa7aredcblbvmg472update.65432admin.juegosfacebook-zynga.gn-math.dev

Redirected to:
https://whm.oo0mkrn0ljj0hfa7aredcblbvmg472update.65432admin.juegosface...
Submitted: Completed: publiccompleted
This website contacted 30 IPs in 2 countries across 26 domains to perform 179 HTTP transactions. The main domain is gn-math.dev and was registered 1 year 1 month ago.

Submitted URL: http://whm.oo0mkrn0ljj0hfa7aredcblbvmg472update.65432admin.juegosfacebook-zynga.gn-math.dev/

Effective URL:
https://whm.oo0mkrn0ljj0hfa7aredcblbvmg472update.65432admin.juegosface...
Redirected

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

AI Security Verdict

Low Risk

Confidence: 78%

3
Risk Score

Site appears legitimate with low risk; no phishing or malware indicators detected.

Risk Factors (2)
Domain ranking low (518,265) but no brand impersonation
Multiple informational IDS alerts (treated as informational only)
Safety Factors (3)
Self‑branding matches domain
No forms collecting credentials or payments
No malicious JavaScript or external exfiltration
Domain age information unavailable

Details

Page Title

gn-math

Scan Type

public

Domain Name Analysis

The domain 'whm.oo0mkrn0ljj0hfa7aredcblbvmg472update.65432admin.juegosfacebook-zynga.gn-math.dev' uses the developer-focused generic top-level domain (.dev) with subdomain 'whm.oo0mkrn0ljj0hfa7aredcblbvmg472update.65432admin.juegosfacebook-zynga'. The core label 'gn-math' covers 7 characters containing one vowel alongside five consonants, plus one hyphen. Breaking it apart gives 2 words: gn, math. Median word length is 3 characters. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of http://whm.oo0mkrn0ljj0hfa7aredcblbvmg472update.65432admin.juegosfacebook-zynga.gn-math.dev/

Page Load Overview

8.71s
Total Load Time
21.0 MB
Total Size

Language Analysis

Primary Language

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

Detection Details

HTML Lang Attribute:en
Text Length:28,418 chars
Detector Agreement:100%

Website Classification

Primary Category

entertainment media93% confidence
Type: static
Method: ml+structural

All Detected Categories

entertainment media
93%
technology software
83%
education learning
75%
documentation technical
40%
corporate
25%

Detected Features

OG: website

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
34188.114.96.3United States
AS13335Cloudflare, Inc.
5142.251.110.155United States
AS15169Google LLC
563.183.45.95Frankfurt am Main, Hesse, Germany
AS16509Amazon.com, Inc.
5142.251.20.156United States
AS15169Google LLC
53.160.150.40United States
AS16509Amazon.com, Inc.
5172.66.171.133United States
AS13335Cloudflare, Inc.
5104.20.47.80United States
AS13335Cloudflare, Inc.
5142.251.20.94United States
AS15169Google LLC
534.36.200.111Kansas City, Missouri, United States
AS396982Google LLC
5188.114.97.3United States
AS13335Cloudflare, Inc.
17930--

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T14BB44AB2B502147F5E2380D572749B7B30E19B2BDEC2124633FC97E967CBCE56A4A049

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

1536:RHgsVIGsiWfg0JdIt9iM32nay4V1K8Z6ZXySH5yeUpaBGyYGBdid4JGWUeLThKlm:msWc3YPL

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:501635:GCyDgkxCLBwAhQSTAJPGFwwIEUoQoEKcFEPWIIMOIJCCJGkImCyA0uCgwkjBbbUoYEMJBZDIEiDYTwGZAFA4IAKJpQlmz64Y

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:0000feff34353000
Perceptual Hash:ce31394e39e78c13
Difference Hash:0044b29269656170
Wavelet Hash:0000ffff3c3d3d18
Color Hash:#3a7849

Other Hashes

Scan History

Scan history not available

Unable to load historical scan data