Security Scan Report: j0hff0dbwww.whm.9whm.9075436iqckneuejiapi.juegosfacebook-zynga.gn-math.dev

Submitted: May 12, 2026, 3:19:04 AMCompleted: May 12, 2026, 3:22:18 AMpubliccompleted
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Summary

This website contacted 32 IPs in 2 countries across 22 domains to perform 167 HTTP transactions. The main domain is j0hff0dbwww.whm.9whm.9075436iqckneuejiapi.juegosfacebook-zynga.gn-math.dev and was registered NaN years ago.

Submitted URL: https://j0hff0dbwww.whm.9whm.9075436iqckneuejiapi.juegosfacebook-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: 82%

7
Risk Score

Multiple critical malware alerts and excessive redirects suggest the site is likely used for malicious activity.

Risk Factors
Critical IDS alerts indicating malware activity
High number of redirects
Low domain reputation rank
Brand‑like subdomain without legitimate brand ownership
Domain age information unavailable

Details

Page Title

gn-math

Scan Type

public

Language

🇺🇸

English

(80% confidence)

Category

entertainment media

(93%)

Domain Information

Domain 'j0hff0dbwww.whm.9whm.9075436iqckneuejiapi.juegosfacebook-zynga.gn-math.dev' uses the developer-focused generic top-level domain (.dev), featuring subdomain 'j0hff0dbwww.whm.9whm.9075436iqckneuejiapi.juegosfacebook-zynga'. The registrable portion 'gn-math' spans 7 characters split between one vowel and five consonants, notching 1 hyphen. It segments into 2 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://j0hff0dbwww.whm.9whm.9075436iqckneuejiapi.juegosfacebook-zynga.gn-math.dev/

Page Load Overview

7.03s
Total Load Time
167
HTTP Requests
22
Domains
13.8 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:27,541 chars
Detector Agreement:100%

Website Classification

Primary Category

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

All Detected Categories

entertainment media
93%
technology software
80%
education learning
79%
documentation technical
41%
gambling betting
30%

Detected Features

OG: website

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
12104.17.208.5United States
AS13335Cloudflare, Inc.
5104.17.207.5United States
AS13335Cloudflare, Inc.
5142.251.13.155United States
AS15169Google LLC
5146.75.121.91Frankfurt am Main, Hesse, Germany
AS54113Fastly, Inc.
5104.20.47.80United States
AS13335Cloudflare, Inc.
5188.114.96.3United States
AS13335Cloudflare, Inc.
5130.211.23.194United States
AS396982Google LLC
5142.251.14.148United States
AS15169Google LLC
5192.178.183.95United States
AS15169Google LLC
563.181.141.121Frankfurt am Main, Hesse, Germany
AS16509Amazon.com, Inc.
16732--

Detected Technologies2

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T148B43AB2B502147F5E2380D572749B7B30E19B2BDEC2114633FC97E967CBCE5AA4A049

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

1536:7HgsVIG0/fgzJdIZqiB3hnaT4V1K8Z67XMmH59JieaBFyYGBdidSJGWyBLThKlGB:Es/lwuVm

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:501639:PhRqABEDKCgEIFqMFkpCE4SnLWCIIECwmCSEAIjuhIMgByBwmnvIAgdhqUoIYEAxRBEBpgIoInBp0YAwJPQACkAwGC1UxCII

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:0000ffff34343410
Perceptual Hash:ce31394639c6f916
Difference Hash:0044b29269656570
Wavelet Hash:0000ffff3c3d3d18
Color Hash:#6c9ce0

Other Hashes

Scan History

Scan history not available

Unable to load historical scan data