Security Scan Report: r0pnwhm.j0hff0dbee0cawhm.9075440204020whoupdate.32juegosfacebook-zynga.gn-math.dev

Submitted: May 11, 2026, 7:45:31 PMCompleted: May 11, 2026, 7:47:25 PMpubliccompleted
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Summary

This website contacted 30 IPs in 2 countries across 23 domains to perform 180 HTTP transactions. The main domain is r0pnwhm.j0hff0dbee0cawhm.9075440204020whoupdate.32juegosfacebook-zynga.gn-math.dev and was registered NaN years ago.

Submitted URL: https://r0pnwhm.j0hff0dbee0cawhm.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

Moderate Risk

Confidence: 78%

5
Risk Score

The site shows moderate risk due to heavy script obfuscation and many redirects, but lacks phishing or malware indicators.

Risk Factors
High JavaScript obfuscation and dynamic code execution
Large number of redirects
Low domain reputation
Safety Factors
No malicious Indicators of Compromise detected
No forms collecting credentials or payments
No JavaScript malware patterns matched
Content appears to be a product description, not a phishing page
Domain age information unavailable

Details

Page Title

gn-math

Scan Type

public

Language

🇺🇸

English

(80% confidence)

Category

entertainment media

(94%)

Domain Information

Domain 'r0pnwhm.j0hff0dbee0cawhm.9075440204020whoupdate.32juegosfacebook-zynga.gn-math.dev' uses the developer-focused generic top-level domain (.dev) with subdomain 'r0pnwhm.j0hff0dbee0cawhm.9075440204020whoupdate.32juegosfacebook-zynga'. The registrable portion 'gn-math' spans 7 characters with 1 vowel and 5 consonants, along with one hyphen. Word splitting yields 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://r0pnwhm.j0hff0dbee0cawhm.9075440204020whoupdate.32juegosfacebook-zynga.gn-math.dev/

Page Load Overview

5.89s
Total Load Time
180
HTTP Requests
23
Domains
14.0 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:28,436 chars
Detector Agreement:100%

Website Classification

Primary Category

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

All Detected Categories

entertainment media
94%
technology software
85%
education learning
70%
documentation technical
40%
gambling betting
36%

Detected Features

OG: website

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
6154.12.247.42Seattle, Washington, United States
AS40021Contabo Inc.
6142.250.154.155United States
AS15169Google LLC
63.160.150.61United States
AS16509Amazon.com, Inc.
6142.251.20.157United States
AS15169Google LLC
6104.20.47.80United States
AS13335Cloudflare, Inc.
6130.211.23.194United States
AS396982Google LLC
6146.75.121.91Frankfurt am Main, Hesse, Germany
AS54113Fastly, Inc.
6104.26.4.14United States
AS13335Cloudflare, Inc.
634.36.200.111Kansas City, Missouri, United States
AS396982Google LLC
63.160.150.36United States
AS16509Amazon.com, Inc.
18030--

Detected Technologies2

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T16FB44AB2B502147F5E2380D572749B7B30E19B2FDEC2124633FC97E967CACE56A4A049

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

1536:7HgsVIG+xfgzJdIy9xu3hn9y4V1K8Z6ZXySH5yeUpaBGyYGBdid4JGWUeLT6KlH1:EsDJr5UW

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:501633:IBQAUUIyJkCEgUQIpZaingjUQ8ANwYooAoTBjlSgJAAAgCABpEhFuE4qScQDglAhFRp5BCtAOFIoCOK0ZGWgaBApNEIsQT0J

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:f0f0f0df30303000
Perceptual Hash:cee06d0e3913395e
Difference Hash:0404a49a65656170
Wavelet Hash:f0f0fcff34303c10
Color Hash:#753a78

Scan History

Scan history not available

Unable to load historical scan data