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Security Scan Report: n0ljwhm.ee0cawhm.whm.9075872187650whoupdate.32juegosfacebook-zynga.gn-math.dev

Redirected to:
https://n0ljwhm.ee0cawhm.whm.9075872187650whoupdate.32juegosfacebook-z...
Submitted: May 11, 2026, 6:05:20 PMCompleted: May 11, 2026, 6:07:21 PMpubliccompleted
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Summary

This website contacted 33 IPs in 2 countries across 22 domains to perform 216 HTTP transactions. The main domain is n0ljwhm.ee0cawhm.whm.9075872187650whoupdate.32juegosfacebook-zynga.gn-math.dev and was registered NaN years ago.

Submitted URL: http://n0ljwhm.ee0cawhm.whm.9075872187650whoupdate.32juegosfacebook-zynga.gn-math.dev/

Effective URL: https://n0ljwhm.ee0cawhm.whm.9075872187650whoupdate.32juegosfacebook-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

Moderate Risk

Confidence: 78%

5
Risk Score

The site exhibits moderate risk due to heavy script obfuscation and low domain reputation, but lacks phishing or malware indicators.

Risk Factors
High JavaScript obfuscation and dynamic eval usage
Low domain reputation (unranked in top 100K)
Newish, complex subdomain structure
Cross‑origin network requests to external domains
Absence of legitimate content cues (no clear author, sparse visible text)
Safety Factors
No credential or payment forms present
No Indicators of Compromise matched in threat intel
No JavaScript YARA malware patterns detected
No IDS/Suricata alerts
Content classified as entertainment media
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 'n0ljwhm.ee0cawhm.whm.9075872187650whoupdate.32juegosfacebook-zynga.gn-math.dev' on the developer-focused generic top-level domain (.dev) and includes subdomain 'n0ljwhm.ee0cawhm.whm.9075872187650whoupdate.32juegosfacebook-zynga'. The core label 'gn-math' covers 7 characters holding one vowel versus five consonants; bonus characters include one hyphen. Breaking it apart gives 2 words: gn, math. Expect three characters per word on average. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of http://n0ljwhm.ee0cawhm.whm.9075872187650whoupdate.32juegosfacebook-zynga.gn-math.dev/

Page Load Overview

10.08s
Total Load Time
216
HTTP Requests
22
Domains
35.6 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:28,446 chars
Detector Agreement:100%

Website Classification

Primary Category

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

All Detected Categories

entertainment media
94%
technology software
88%
education learning
88%
documentation technical
36%
corporate
25%

Detected Features

OG: website

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
24172.217.208.95United States
AS15169Google LLC
6192.178.183.155United States
AS15169Google LLC
6188.114.97.3United States
AS13335Cloudflare, Inc.
6143.204.173.87United States
AS16509Amazon.com, Inc.
6192.178.183.156United States
AS15169Google LLC
634.36.200.111Kansas City, Missouri, United States
AS396982Google LLC
6172.66.171.133United States
AS13335Cloudflare, Inc.
6142.251.20.94United States
AS15169Google LLC
6140.82.121.5Frankfurt am Main, Hesse, Germany
AS36459GitHub, Inc.
63.75.153.1Frankfurt am Main, Hesse, Germany
AS16509Amazon.com, Inc.
21633--

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T15BB44AB2B502147F5E2380D572749B7B30E19B2BDEC2124633FC97E967CBCE56A4A049

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

1536:7HgsVIG8EFfgzJdIy9xu3hn9y4V1K8Z6ZXySH5yeUpaBGyYGBdid4JGWUeLT6KlS:EsIJr5Up

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:501635:NRQAgcdAqgBAIwUEioGuVuIJEESIragQ/ICW0tkDAYcEAAsmEDABACBQAKK0YGBihiIYTINiAGu4CyOMwUw1gEQKiREB3anE

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:0000ffff01351408
Perceptual Hash:8e71310ef1d58e33
Difference Hash:0044b29229692930
Wavelet Hash:0000ffff1d35bd18
Color Hash:#ac53a9

Other Hashes

Crop Resistant:f0fcceded6debece,0044b29229692930

Scan History

Scan history not available

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