Security Scan Report: whm.654725432whm.9432admin.juegosfacebook-zynga.gn-math.dev

Redirected to:
https://whm.654725432whm.9432admin.juegosfacebook-zynga.gn-math.dev/
Submitted: May 13, 2026, 11:13:53 PMCompleted: May 13, 2026, 11:16:04 PMpubliccompleted
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Summary

This website contacted 31 IPs in 2 countries across 23 domains to perform 181 HTTP transactions. The main domain is whm.654725432whm.9432admin.juegosfacebook-zynga.gn-math.dev.

Submitted URL: http://whm.654725432whm.9432admin.juegosfacebook-zynga.gn-math.dev/

Effective URL: https://whm.654725432whm.9432admin.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

Safe Website

Confidence: 92%

0
Risk Score

No malicious activity detected; site appears legitimate.

Safety Factors
No forms or credential collection
No malicious indicators or alerts
Domain age >180 days reduces suspicion
Content classified as entertainment media with high confidence
Domain age information unavailable

Details

Page Title

gn-math

Scan Type

public

Language

🇺🇸

English

(80% confidence)

Category

entertainment media

(94%)

Domain Information

You're looking at domain 'whm.654725432whm.9432admin.juegosfacebook-zynga.gn-math.dev' on the developer-focused generic top-level domain (.dev), featuring subdomain 'whm.654725432whm.9432admin.juegosfacebook-zynga'. The second-level label 'gn-math' is 7 characters long with 1 vowel and five consonants, plus one hyphen. Tokenizing the label suggests two 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.654725432whm.9432admin.juegosfacebook-zynga.gn-math.dev/

Page Load Overview

5.39s
Total Load Time
181
HTTP Requests
23
Domains
16.3 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:28,300 chars
Detector Agreement:100%

Website Classification

Primary Category

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

All Detected Categories

entertainment media
94%
technology software
79%
education learning
75%
documentation technical
31%
corporate
25%

Detected Features

OG: website

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
31104.26.5.14United States
AS13335Cloudflare, Inc.
5142.250.154.148United States
AS15169Google LLC
53.160.150.61United States
AS16509Amazon.com, Inc.
5142.250.154.149United States
AS15169Google LLC
563.183.45.95Frankfurt am Main, Hesse, Germany
AS16509Amazon.com, Inc.
5146.75.121.91Frankfurt am Main, Hesse, Germany
AS54113Fastly, Inc.
5192.178.183.155United States
AS15169Google LLC
5192.178.183.95United States
AS15169Google LLC
5104.20.20.189United States
AS13335Cloudflare, Inc.
5151.101.65.229United States
AS54113Fastly, Inc.
18131--

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T1AAB44AB2B502147F5E2380D572749B7B30E19B2FDEC2124633FC97E967CACE56A4A049

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

1536:RHgsVIGRzFLfg0JdIt9iM32nay4V1K8Z6ZXySH5yeUpaBGyYGBdid4JGWUeLThKm:msRc3YPh

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:501631:NCAGBRMAIoXCCQKCCYbIkBEhAwmIpQEsZiYKjiICAIBEhAiINCyEgJFHAoCA4tcsYjEhBKxwYejATZkcAMAspcJEFRsckaFq

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:0000ffff30303410
Perceptual Hash:ce313946f9e0b946
Difference Hash:0044b29265656160
Wavelet Hash:0000ffff3d333d18
Color Hash:#4240bf

Other Hashes

Scan History

Scan history not available

Unable to load historical scan data