Security Scan Report: n0ljn0ljj0hff0dbawhm.whm.907547650whoupdate.32juegosfacebook-zynga.gn-math.dev

Redirected to:
https://n0ljn0ljj0hff0dbawhm.whm.907547650whoupdate.32juegosfacebook-z...
Submitted: Completed: publiccompleted
This website contacted 31 IPs in 2 countries across 25 domains to perform 177 HTTP transactions. The main domain is gn-math.dev and was registered 1 year 1 month ago.

Submitted URL: http://n0ljn0ljj0hff0dbawhm.whm.907547650whoupdate.32juegosfacebook-zynga.gn-math.dev/

Effective URL:
https://n0ljn0ljj0hff0dbawhm.whm.907547650whoupdate.32juegosfacebook-z...
Redirected

The Cisco Umbrella rank of the primary domain is #518,265 of the top 1 million websites

AI Security Verdict

Low Risk

Confidence: 85%

2
Risk Score

The site shows no malicious activity, lacks credential forms, and has moderate age, resulting in a low risk rating.

Risk Factors (1)
Low Cisco Umbrella ranking (518k) for a domain with brand-like subdomains
Safety Factors (4)
No forms or credential collection
No malicious JavaScript or YARA matches
No network IDS alerts
Domain age >180 days reduces suspicion
Domain age information unavailable

Details

Page Title

gn-math

Scan Type

public

Domain Name Analysis

The domain 'n0ljn0ljj0hff0dbawhm.whm.907547650whoupdate.32juegosfacebook-zynga.gn-math.dev' uses the developer-focused generic top-level domain (.dev) with subdomain 'n0ljn0ljj0hff0dbawhm.whm.907547650whoupdate.32juegosfacebook-zynga'. The second-level label 'gn-math' is 7 characters long with one vowel and five consonants; bonus characters include 1 hyphen. Segmentation suggests two 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://n0ljn0ljj0hff0dbawhm.whm.907547650whoupdate.32juegosfacebook-zynga.gn-math.dev/

Page Load Overview

4.62s
Total Load Time
15.8 MB
Total Size

Language Analysis

Primary Language

πŸ‡ΊπŸ‡ΈEnglish
Code: en
Confidence:80%
Script:Latin
Direction:ltr

Detection Details

HTML Lang Attribute:en
Text Length:28,415 chars
Detector Agreement:100%

Website Classification

Primary Category

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

All Detected Categories

entertainment media
94%
technology software
84%
education learning
73%
documentation technical
39%
social media network
29%

Detected Features

OG: website

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
27142.251.20.154United States
AS15169Google LLC
5151.101.129.229United States
AS54113Fastly, Inc.
534.36.200.111Kansas City, Missouri, United States
AS396982Google LLC
5172.66.171.133United States
AS13335Cloudflare, Inc.
53.160.150.117United States
AS16509Amazon.com, Inc.
5142.251.20.157United States
AS15169Google LLC
5143.204.173.87United States
AS16509Amazon.com, Inc.
5130.211.23.194United States
AS396982Google LLC
5188.114.97.3United States
AS13335Cloudflare, Inc.
563.183.45.95Frankfurt am Main, Hesse, Germany
AS16509Amazon.com, Inc.
17731--

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T168B44AB2B502147F5E2380D572749B7B30E19B2BDEC2124633FC97E967CBCE56A4A049

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

1536:RHgsVIGRLrfg0JdIt9iM32nay4V1K8Z6ZXySH5yeUpaBGyYGBdid4JGWUeLThKlB:msDc3YPg

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:501633:PBgiAFKQKBwMCISAkZZlPxBkZEjUgBC+CAEuAAAhsJKgpGoGPCSogUagIDoKbdUoBQgLBoDNgPE4TAO0IFM8OBAYACMryT4g

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:0000ffff34353400
Perceptual Hash:ce313946f1b1ce13
Difference Hash:0044a29269656930
Wavelet Hash:0000ffff3c3d3d18
Color Hash:#772dd2

Other Hashes

Scan History

Scan history not available

Unable to load historical scan data