Security Scan Report: whm.6944020whoupdate.32juegosfacebook-zynga.gn-math.dev

Submitted: May 16, 2026, 6:25:01 AMCompleted: May 16, 2026, 6:27:43 AMpubliccompleted
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Summary

This website contacted 34 IPs in 2 countries across 23 domains to perform 147 HTTP transactions. The main domain is whm.6944020whoupdate.32juegosfacebook-zynga.gn-math.dev and was registered NaN years ago.

Submitted URL: https://whm.6944020whoupdate.32juegosfacebook-zynga.gn-math.dev/

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

AI Security Verdict

Moderate Risk

Confidence: 78%

4
Risk Score

The site shows no malicious forms or IoCs, but many redirects and low domain ranking suggest moderate risk; proceed cautiously.

Risk Factors
Excessive number of redirects (35)
Low Cisco Umbrella ranking (outside top 100K)
Multiple external ad and tracking domains
Safety Factors
No forms collecting credentials or payments
No JavaScript malware patterns detected
No network IDS alerts
No credential exfiltration observed
Domain age information unavailable

Details

Page Title

gn-math

Scan Type

public

Language

🇺🇸

English

(80% confidence)

Category

entertainment media

(93%)

Domain Information

Domain 'whm.6944020whoupdate.32juegosfacebook-zynga.gn-math.dev' uses the developer-focused generic top-level domain (.dev), featuring subdomain 'whm.6944020whoupdate.32juegosfacebook-zynga'. The registrable portion 'gn-math' spans 7 characters with 1 vowel and 5 consonants, plus 1 hyphen. It segments into two words: gn, math. Median word length comes out to 3 characters. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://whm.6944020whoupdate.32juegosfacebook-zynga.gn-math.dev/

Page Load Overview

5.48s
Total Load Time
147
HTTP Requests
23
Domains
14.5 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:28,414 chars
Detector Agreement:100%

Website Classification

Primary Category

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

All Detected Categories

entertainment media
93%
technology software
85%
education learning
72%
documentation technical
46%
gambling betting
28%

Detected Features

OG: website

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
15143.204.173.87United States
AS16509Amazon.com, Inc.
418.244.18.10United States
AS16509Amazon.com, Inc.
4130.211.23.194United States
AS396982Google LLC
4142.251.14.94United States
AS15169Google LLC
43.160.150.36United States
AS16509Amazon.com, Inc.
4188.114.97.3United States
AS13335Cloudflare, Inc.
4140.82.121.6Frankfurt am Main, Hesse, Germany
AS36459GitHub, Inc.
4172.67.75.11United States
AS13335Cloudflare, Inc.
4142.251.127.148United States
AS15169Google LLC
4151.101.65.229United States
AS54113Fastly, Inc.
14734--

Detected Technologies2

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T1A8B44AB2B502147F5E2380D572749B7B30E19B2FDEC2124633FC97E967CACE56A4A049

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

1536:RHgsVIGCcfg9J6k+9kG3Mnm0mV1K8Z6ZXySH5yeUpaBGyYGBdid4JGWUeLTsKlHD:ms1OrNj

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:501635:IBIBuM4yJxQIEQDL3efIm4ABIgEEhIhoFsCEEs0YMdUAhQwwQCBmEVMwCOQhKELgoAAMBBNIgkQkDnW/cHqoAACAErFPkTcB

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:0000ffff30313118
Perceptual Hash:ce71192ed1e7c816
Difference Hash:0044b29269616971
Wavelet Hash:0000ffff3d31bd18
Color Hash:#c187c5

Other Hashes

Crop Resistant:0044b29269616971

Scan History

Scan history not available

Unable to load historical scan data