Security Scan Report: whm.www.9whm.44020whoupdate.32juegosfacebook-zynga.gn-math.dev

Submitted: May 13, 2026, 3:04:04 PMCompleted: May 13, 2026, 3:07:19 PMpubliccompleted
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Summary

This website contacted 30 IPs in 2 countries across 23 domains to perform 183 HTTP transactions. The main domain is whm.www.9whm.44020whoupdate.32juegosfacebook-zynga.gn-math.dev and was registered NaN years ago.

Submitted URL: https://whm.www.9whm.44020whoupdate.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

Low Risk

Confidence: 80%

2
Risk Score

The site shows low risk: older domain, no forms, no malicious indicators, though many redirects and low ranking suggest caution.

Risk Factors
Excessive redirects (14)
Low domain ranking (#518,265) in Cisco Umbrella
Safety Factors
No credential or payment collection
No malicious indicators from IDS, YARA, or threat intel
Domain age >180 days reduces suspicion
Domain age information unavailable

Details

Page Title

gn-math

Scan Type

public

Language

🇺🇸

English

(80% confidence)

Category

entertainment media

(93%)

Domain Information

The domain name 'whm.www.9whm.44020whoupdate.32juegosfacebook-zynga.gn-math.dev' uses the developer-focused generic top-level domain (.dev); it also runs on subdomain 'whm.www.9whm.44020whoupdate.32juegosfacebook-zynga'. Count 7 characters in 'gn-math' holding 1 vowel versus five consonants, along with one 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 https://whm.www.9whm.44020whoupdate.32juegosfacebook-zynga.gn-math.dev/

Page Load Overview

5.95s
Total Load Time
183
HTTP Requests
23
Domains
14.7 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:28,426 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
75%
documentation technical
43%
gambling betting
36%

Detected Features

OG: website

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
93.160.150.117United States
AS16509Amazon.com, Inc.
6192.178.183.148United States
AS15169Google LLC
63.160.150.40United States
AS16509Amazon.com, Inc.
63.160.150.61United States
AS16509Amazon.com, Inc.
6154.12.247.42Seattle, Washington, United States
AS40021Contabo Inc.
6192.178.183.149United States
AS15169Google LLC
6104.20.20.189United States
AS13335Cloudflare, Inc.
6142.250.154.156United States
AS15169Google LLC
618.194.220.110Frankfurt am Main, Hesse, Germany
AS16509Amazon.com, Inc.
6104.17.207.5United States
AS13335Cloudflare, Inc.
18330--

Detected Technologies2

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T1BCB44AB2B502147F5E2380D572749B7B30E19B2FDEC2124633FC97E967CACE56A4A049

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

1536:RHgsVIGJTfg0JdIt9iM32nay4V1K8Z6ZXySH5yeUpaBGyYGBdid4JGWUeLThKlHv:ms7c3YPS

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:501635:OBAgBRUELAQiUZBCUA5MBkCpEdjMUgyieASLhJSNN8EhhCggYCABiIE4CgpsKEGkRps2lICI9HAgCQoqCHAYZKUAEYAYmA2A

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:0000ffff34353510
Perceptual Hash:ce313946b9c5b90e
Difference Hash:0044a2926d656971
Wavelet Hash:0000ffff3d353d18
Color Hash:#4d862d

Other Hashes

Scan History

Scan history not available

Unable to load historical scan data