Security Scan Report: onilgbihgfedcblbvmg472update.65432admin.juegosfacebook-zynga.gn-math.dev

Submitted: Completed: publiccompleted
This website contacted 33 IPs in 2 countries across 34 domains to perform 175 HTTP transactions. The main domain is gn-math.dev and was registered 1 year 1 month ago.

Submitted URL: https://onilgbihgfedcblbvmg472update.65432admin.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

Moderate Risk

Confidence: 78%

6
Risk Score

The site shows moderate risk due to heavy redirects and heavily obfuscated JavaScript with external calls, but lacks phishing forms or known malware.

Risk Factors (5)
Excessive redirects
High JavaScript obfuscation and dynamic code execution
Cross‑origin network calls from obfuscated script
Low reputation domain (rank >500k) with brand‑like subdomain
Potential ad‑network traffic (multiple external ad domains)
Safety Factors (5)
No login, credential, or payment forms
No Indicators of Compromise matched in threat intel
No JavaScript YARA malware patterns detected
No IDS/Suricata alerts
Domain age 254 days (moderate, not brand new)
Domain age information unavailable

Details

Page Title

gn-math

Scan Type

public

Domain Name Analysis

The domain 'onilgbihgfedcblbvmg472update.65432admin.juegosfacebook-zynga.gn-math.dev' uses the developer-focused generic top-level domain (.dev), featuring subdomain 'onilgbihgfedcblbvmg472update.65432admin.juegosfacebook-zynga'. Count 7 characters in 'gn-math' holding 1 vowel versus 5 consonants, notching 1 hyphen. It segments into two words: gn, math. Median word length comes out to three characters. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://onilgbihgfedcblbvmg472update.65432admin.juegosfacebook-zynga.gn-math.dev/

Page Load Overview

4.51s
Total Load Time
14.7 MB
Total Size

Language Analysis

Primary Language

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

Detection Details

HTML Lang Attribute:en
Text Length:27,936 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
36%
corporate
25%

Detected Features

OG: website

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
15130.211.23.194United States
AS396982Google LLC
5151.101.193.229United States
AS54113Fastly, Inc.
5140.82.121.6Frankfurt am Main, Hesse, Germany
AS36459GitHub, Inc.
53.160.150.117United States
AS16509Amazon.com, Inc.
5142.250.154.155United States
AS15169Google LLC
5172.66.148.140United States
AS13335Cloudflare, Inc.
5142.251.127.149United States
AS15169Google LLC
5172.66.171.133United States
AS13335Cloudflare, Inc.
5146.75.121.91Frankfurt am Main, Hesse, Germany
AS54113Fastly, Inc.
5142.251.13.154United States
AS15169Google LLC
17533--

Detected Technologies2

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T13FB44BB2B502147F5E2380D572749B7B30E19B2BDEC2124633FC97E967CBCE56A4A049

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

1536:7HgsVIG9zIzgdxRfgbJdwO9W+37njy4V1K8Z6ZXySH5yeUpaBGyYGQd4JGWUeLTt:Es/cL3yR

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:501619:EBRTmHA0pAABG1FHBQgEFiKpWVYGUNgQmsEAGrwIBpcIxHABqDWOIUEqCqiBIgQghgJJPsMiCCEojjXRDFiBIDyCjQMQDCwM

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:8080ceff1031303c
Perceptual Hash:ce71596699a78827
Difference Hash:0828aa9269616871
Wavelet Hash:e0c0efff3031343c
Color Hash:#6ce0ad

Scan History

Scan history not available

Unable to load historical scan data