Security Scan Report: 69876544020whoupdate.32juegosfacebook-zynga.gn-math.dev

Submitted: May 16, 2026, 11:04:47 AMCompleted: May 16, 2026, 11:07:28 AMpubliccompleted
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Summary

This website contacted 32 IPs in 2 countries across 23 domains to perform 178 HTTP transactions. The main domain is 69876544020whoupdate.32juegosfacebook-zynga.gn-math.dev and was registered NaN years ago.

Submitted URL: https://69876544020whoupdate.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%

4
Risk Score

The site shows a circular redirect and low reputation but lacks phishing or malware signs; treat as moderate risk.

Risk Factors
Circular redirect (strong suspicious indicator)
Low domain reputation ranking
Randomized subdomain suggesting possible throwaway URL
Safety Factors
No forms collecting credentials or payments
No malicious Indicators of Compromise
No JavaScript malware YARA matches
No network IDS alerts
Domain age information unavailable

Details

Page Title

gn-math

Scan Type

public

Language

🇺🇸

English

(80% confidence)

Category

entertainment media

(94%)

Domain Information

Domain '69876544020whoupdate.32juegosfacebook-zynga.gn-math.dev' uses the developer-focused generic top-level domain (.dev); it also runs on subdomain '69876544020whoupdate.32juegosfacebook-zynga'. Its registrable label 'gn-math' stretches across 7 characters with 1 vowel and five consonants, notching 1 hyphen. Tokenizing the label 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 https://69876544020whoupdate.32juegosfacebook-zynga.gn-math.dev/

Page Load Overview

3.28s
Total Load Time
178
HTTP Requests
23
Domains
14.2 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:28,380 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
78%
documentation technical
37%
gambling betting
26%

Detected Features

OG: website

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
23130.211.23.194United States
AS396982Google LLC
5142.250.154.157United States
AS15169Google LLC
5151.101.193.229United States
AS54113Fastly, Inc.
5143.204.173.87United States
AS16509Amazon.com, Inc.
5172.66.148.140United States
AS13335Cloudflare, Inc.
5104.26.5.14United States
AS13335Cloudflare, Inc.
53.160.150.36United States
AS16509Amazon.com, Inc.
5142.251.110.94United States
AS15169Google LLC
518.245.31.92United States
AS16509Amazon.com, Inc.
5151.101.1.229United States
AS54113Fastly, Inc.
17832--

Detected Technologies2

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T165B44AB2B502147F5E2380D572749B7B30E19B2FDEC2124633FC97E967CACE56A4A049

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

1536:RHgsVIGcDfg9J6k+9kG3Mnm0mV1K8Z6ZXySH5yeUpaBGyYGBdid4JGWUeLTsKlH7:mswOrNb

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:501635:vARjiBdAJoAApBAGTaRG1kEQgAcAsZudJkrEGZAJBgYJFAoohChA4EBoYGBMeSawAg4tgIkcyHCpBwEugWAC0QgBCRFE6eyB

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:0000ffff0d010108
Perceptual Hash:bac54d2ad5e58833
Difference Hash:0044b2b2292b2b39
Wavelet Hash:0000ffff8dd9991c
Color Hash:#98c587

Other Hashes

Crop Resistant:0044b2b2292b2b39

Scan History

Scan history not available

Unable to load historical scan data