Security Scan Report: whm.whm.60425whm.whm.srv592432juegosfacebook-zynga.gn-math.dev

Redirected to:
https://whm.whm.60425whm.whm.srv592432juegosfacebook-zynga.gn-math.dev...
Submitted: Completed: publiccompleted
This website contacted 32 IPs in 2 countries across 28 domains to perform 187 HTTP transactions. The main domain is gn-math.dev and was registered 1 year 1 month ago.

Submitted URL: http://whm.whm.60425whm.whm.srv592432juegosfacebook-zynga.gn-math.dev/

Effective URL:
https://whm.whm.60425whm.whm.srv592432juegosfacebook-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

Low Risk

Confidence: 80%

2
Risk Score

The site shows no credential or payment collection, has moderate age and no concrete malicious signals; classify as low risk.

Risk Factors (2)
Critical and high IDS alerts are informational only
High JavaScript obfuscation score (CRITICAL) without malicious payload
Safety Factors (3)
No forms collecting credentials or payment data
No external IoC matches or known malicious kits
Self‑branding (gn-math) matches domain, no brand impersonation
Domain age information unavailable

Details

Page Title

gn-math

Scan Type

public

Domain Name Analysis

Domain 'whm.whm.60425whm.whm.srv592432juegosfacebook-zynga.gn-math.dev' uses the developer-focused generic top-level domain (.dev) and includes subdomain 'whm.whm.60425whm.whm.srv592432juegosfacebook-zynga'. The core label 'gn-math' covers 7 characters split between 1 vowel and five consonants, plus one hyphen. Breaking it apart gives two words: gn, math. The median word length lands at three characters. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of http://whm.whm.60425whm.whm.srv592432juegosfacebook-zynga.gn-math.dev/

Page Load Overview

11.45s
Total Load Time
19.9 MB
Total Size

Language Analysis

Primary Language

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

Detection Details

HTML Lang Attribute:en
Text Length:28,350 chars
Detector Agreement:100%

Website Classification

Primary Category

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

All Detected Categories

entertainment media
94%
technology software
87%
education learning
74%
documentation technical
35%
gambling betting
27%

Detected Features

OG: website

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
32142.251.13.95United States
AS15169Google LLC
534.36.200.111Kansas City, Missouri, United States
AS396982Google LLC
53.160.150.36United States
AS16509Amazon.com, Inc.
5146.75.121.91Frankfurt am Main, Hesse, Germany
AS54113Fastly, Inc.
5142.250.154.148United States
AS15169Google LLC
5142.250.154.157United States
AS15169Google LLC
5130.211.23.194United States
AS396982Google LLC
53.75.153.1Frankfurt am Main, Hesse, Germany
AS16509Amazon.com, Inc.
5151.101.129.229United States
AS54113Fastly, Inc.
5172.67.75.11United States
AS13335Cloudflare, Inc.
18732--

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T122B44AB2B502147F5E2380D572749B7B30E19B2FDEC2124633FC97E967CACE56A4A049

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

1536:7HgsVIGbRfgzJdIy9xu3hn9y4V1K8Z6ZXySH5yeUpaBGyYGBdid4JGWUeLT6KlHK:EsuJr5UR

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:501631:PJKjVE8UIjMIITxAEBZNFjBAiTNpQYgUWwS9FqCMAqfxBChwFCpAgEpcAmABolElFjAJIIBoAnAgVSmeIGRmEIAIgCAMmC5g

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:0000ffff34353408
Perceptual Hash:ce71394eb1e1cc16
Difference Hash:0044b2926d656570
Wavelet Hash:0000ffff3c3d351c
Color Hash:#2d7486

Other Hashes

Scan History

Scan history not available

Unable to load historical scan data