Security Scan Report: kjwww.f0dbf0dbwhm.98whm.36544020whoupdate.32juegosfacebook-zynga.gn-math.dev

Redirected to:
https://kjwww.f0dbf0dbwhm.98whm.36544020whoupdate.32juegosfacebook-zyn...
Submitted: Completed: publiccompleted
This website contacted 32 IPs in 2 countries across 27 domains to perform 187 HTTP transactions. The main domain is gn-math.dev and was registered 1 year 1 month ago.

Submitted URL: http://kjwww.f0dbf0dbwhm.98whm.36544020whoupdate.32juegosfacebook-zynga.gn-math.dev/

Effective URL:
https://kjwww.f0dbf0dbwhm.98whm.36544020whoupdate.32juegosfacebook-zyn...
Redirected

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

AI Security Verdict

Low Risk

Confidence: 82%

2
Risk Score

The site shows no credential or payment collection, has an older domain, and lacks malicious indicators despite high JS obfuscation; classified as low risk.

Risk Factors (2)
Critical JavaScript obfuscation score
Multiple high‑severity IDS alerts (informational only)
Safety Factors (3)
No forms collecting credentials or payments
Self‑branding (gn‑math) matches domain content
No external IoC or malware detections
Domain age information unavailable

Details

Page Title

gn-math

Scan Type

public

Domain Name Analysis

The domain 'kjwww.f0dbf0dbwhm.98whm.36544020whoupdate.32juegosfacebook-zynga.gn-math.dev' uses the developer-focused generic top-level domain (.dev), featuring subdomain 'kjwww.f0dbf0dbwhm.98whm.36544020whoupdate.32juegosfacebook-zynga'. The core label 'gn-math' covers 7 characters containing one vowel alongside 5 consonants; bonus characters include 1 hyphen. Segmentation suggests two words: gn, math. Median word length is 3 characters. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of http://kjwww.f0dbf0dbwhm.98whm.36544020whoupdate.32juegosfacebook-zynga.gn-math.dev/

Page Load Overview

6.18s
Total Load Time
14.8 MB
Total Size

Language Analysis

Primary Language

🇺🇸English
Code: en
Confidence:80%
Script:Latin
Direction:ltr

Detection Details

HTML Lang Attribute:en
Text Length:28,393 chars
Detector Agreement:100%

Website Classification

Primary Category

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

All Detected Categories

entertainment media
94%
technology software
80%
education learning
79%
documentation technical
38%
corporate
25%

Detected Features

OG: website

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
32142.251.14.155United States
AS15169Google LLC
5108.138.4.226United States
AS16509Amazon.com, Inc.
5104.26.5.14United States
AS13335Cloudflare, Inc.
5104.20.47.80United States
AS13335Cloudflare, Inc.
5142.251.14.154United States
AS15169Google LLC
5142.250.154.148United States
AS15169Google LLC
563.184.155.10Frankfurt am Main, Hesse, Germany
AS16509Amazon.com, Inc.
5146.75.121.91Frankfurt am Main, Hesse, Germany
AS54113Fastly, Inc.
518.245.31.92United States
AS16509Amazon.com, Inc.
5142.251.14.157United States
AS15169Google LLC
18732--

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T1B8B44AB2B502147F5E2380D572749B7B30E19B2FDEC2124633FC97E967CACE56A4A049

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

1536:7HgsVIGLEfgzJdIy9xu3hn9y4V1K8Z6ZXySH5yeUpaBGyYGBdid4JGWUeLT6KlHL:EszJr5Uq

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:501635:AVWDkGVAIUUGEcwSIEFeL0JAJRAQhPuJARYMAImCQoCQCgCsNDFECmwlQUADKNDipgYVAQBcogLohyDKgFCuBCCQKUACvF6F

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:0000ffff34353100
Perceptual Hash:ce71390ed1e38c17
Difference Hash:0044b2926d616971
Wavelet Hash:0000ffff3d393d18
Color Hash:#d22d5c

Other Hashes

Scan History

Scan history not available

Unable to load historical scan data