Security Scan Report: whm.s0qoo0mkjj0hfj0hfae0cawhm.90758765siriuate.98765432juegosfacebook-zynga.gn-math.dev

Redirected to:
https://whm.s0qoo0mkjj0hfj0hfae0cawhm.90758765siriuate.98765432juegosf...
Submitted: Completed: publiccompleted
This website contacted 30 IPs in 2 countries across 26 domains to perform 208 HTTP transactions. The main domain is gn-math.dev and was registered 1 year 1 month ago.

Submitted URL: http://whm.s0qoo0mkjj0hfj0hfae0cawhm.90758765siriuate.98765432juegosfacebook-zynga.gn-math.dev/

Effective URL:
https://whm.s0qoo0mkjj0hfj0hfae0cawhm.90758765siriuate.98765432juegosf...
Redirected

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

AI Security Verdict

Safe Website

Confidence: 82%

1
Risk Score

No malicious indicators found; the site appears legitimate with low risk.

Safety Factors (4)
Self‑branding matches the domain (GN‑Math)
Domain age >180 days reduces risk
Low JavaScript obfuscation score (normal minification)
No external form submissions or credential exfiltration
Domain age information unavailable

Details

Page Title

gn-math

Scan Type

public

Domain Name Analysis

The domain 'whm.s0qoo0mkjj0hfj0hfae0cawhm.90758765siriuate.98765432juegosfacebook-zynga.gn-math.dev' uses the developer-focused generic top-level domain (.dev); it also runs on subdomain 'whm.s0qoo0mkjj0hfj0hfae0cawhm.90758765siriuate.98765432juegosfacebook-zynga'. Its registrable label 'gn-math' stretches across 7 characters with one vowel and five consonants; bonus characters include 1 hyphen. Splitting it apart reveals 2 words: gn, math. Median word length is three characters. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of http://whm.s0qoo0mkjj0hfj0hfae0cawhm.90758765siriuate.98765432juegosfacebook-zynga.gn-math.dev/

Page Load Overview

7.05s
Total Load Time
31.6 MB
Total Size

Language Analysis

Primary Language

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

Detection Details

HTML Lang Attribute:en
Text Length:28,427 chars
Detector Agreement:100%

Website Classification

Primary Category

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

All Detected Categories

entertainment media
94%
technology software
84%
education learning
76%
documentation technical
41%
gambling betting
40%

Detected Features

OG: website

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
34192.178.183.95United States
AS15169Google LLC
6146.75.121.91Frankfurt am Main, Hesse, Germany
AS54113Fastly, Inc.
63.160.150.36United States
AS16509Amazon.com, Inc.
663.183.45.95Frankfurt am Main, Hesse, Germany
AS16509Amazon.com, Inc.
6104.20.47.80United States
AS13335Cloudflare, Inc.
63.75.153.1Frankfurt am Main, Hesse, Germany
AS16509Amazon.com, Inc.
6104.26.5.14United States
AS13335Cloudflare, Inc.
63.160.150.40United States
AS16509Amazon.com, Inc.
6104.17.207.5United States
AS13335Cloudflare, Inc.
618.245.31.9United States
AS16509Amazon.com, Inc.
20830--

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T11EB44AB2B502147F5E2380D572749B7B30E19B2BDEC2124633FC97E967CBCE56A4A049

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

1536:RHgsVIGlSfgZJd9L9mw3BnqQ4V1K8Z6ZXySH5yeUpaBGyYGBdid4JGWUeLTDKlHS:msT44DiE

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:501635:PRkk6oQAPgApYQIAMRQMF2HJgBiBUiOMWX1R0vMjJkMhoSgzNE5AESxuQOECUMQixMEJhYIJwHPwQNEpAGSgYgAEgcM4GD7m

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:0000ffff34343400
Perceptual Hash:ce313946b9e39c46
Difference Hash:0044b29265656d70
Wavelet Hash:0000ffffbc373c18
Color Hash:#78613a

Other Hashes

Scan History

Scan history not available

Unable to load historical scan data