Security Scan Report: f0dbawhm.whm.9075440204020whoupdate.32juegosfacebook-zynga.gn-math.dev

Submitted: May 11, 2026, 4:22:39 PMCompleted: May 11, 2026, 4:24:31 PMpubliccompleted
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Summary

This website contacted 31 IPs in 2 countries across 23 domains to perform 182 HTTP transactions. The main domain is f0dbawhm.whm.9075440204020whoupdate.32juegosfacebook-zynga.gn-math.dev and was registered NaN years ago.

Submitted URL: https://f0dbawhm.whm.9075440204020whoupdate.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

High Risk

Confidence: 88%

8
Risk Score

Multiple critical malware alerts and low reputation indicate a high‑risk site used for malware distribution.

Risk Factors
Critical IDS alerts for malware and C2
Low domain reputation (Umbrella rank >500k)
High number of redirects
External network calls to unrelated domains
Domain age information unavailable

Details

Page Title

gn-math

Scan Type

public

Language

🇺🇸

English

(80% confidence)

Category

entertainment media

(88%)

Domain Information

Domain 'f0dbawhm.whm.9075440204020whoupdate.32juegosfacebook-zynga.gn-math.dev' uses the developer-focused generic top-level domain (.dev); it also runs on subdomain 'f0dbawhm.whm.9075440204020whoupdate.32juegosfacebook-zynga'. Its registrable label 'gn-math' stretches across 7 characters holding 1 vowel versus five consonants, plus one hyphen. Breaking it apart gives 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://f0dbawhm.whm.9075440204020whoupdate.32juegosfacebook-zynga.gn-math.dev/

Page Load Overview

5.92s
Total Load Time
182
HTTP Requests
23
Domains
13.9 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:28,398 chars
Detector Agreement:100%

Website Classification

Primary Category

entertainment media88% confidence
Type: static
Method: ml+structural

All Detected Categories

entertainment media
88%
technology software
75%
education learning
75%
documentation technical
31%
corporate
25%

Detected Features

OG: website

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
32104.20.47.80United States
AS13335Cloudflare, Inc.
5104.26.5.14United States
AS13335Cloudflare, Inc.
53.160.150.117United States
AS16509Amazon.com, Inc.
574.125.29.95United States
AS15169Google LLC
5104.17.207.5United States
AS13335Cloudflare, Inc.
5154.12.247.42Seattle, Washington, United States
AS40021Contabo Inc.
5142.251.20.155United States
AS15169Google LLC
563.184.155.10Frankfurt am Main, Hesse, Germany
AS16509Amazon.com, Inc.
5146.75.121.91Frankfurt am Main, Hesse, Germany
AS54113Fastly, Inc.
5142.251.20.154United States
AS15169Google LLC
18231--

Detected Technologies2

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T10FB44AB2B502147F5E2380D572749B7B30E19B2FDEC2124633FC97E967CACE56A4A049

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

1536:7HgsVIGB0fgzJdIy9xu3hn9y4V1K8Z6ZXySH5yeUpaBGyYGBdid4JGWUeLT6KlHb:EslJr5UQ

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:501635:JBQMAWUQLgIgBBAAAqJEFXHikCOgQAEF5hQCkoJAIkAURAA1FSsD0Eo9CeBGYBI24A45BYE4d8goG8FaIGIgcAAMCIRUiSpI

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:0000ffff00311008
Perceptual Hash:ceb1310eb1f1cc33
Difference Hash:0044b29229692930
Wavelet Hash:0000ffff1db1bd18
Color Hash:#82ac53

Other Hashes

Crop Resistant:0044b29229692930

Scan History

Scan history not available

Unable to load historical scan data