Security Scan Report: 08698725432whm.9432admin.juegosfacebook-zynga.gn-math.dev

Redirected to:
https://08698725432whm.9432admin.juegosfacebook-zynga.gn-math.dev/
Submitted: May 10, 2026, 11:23:21 PMCompleted: May 10, 2026, 11:25:21 PMpubliccompleted
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Summary

This website contacted 32 IPs in 2 countries across 22 domains to perform 187 HTTP transactions. The main domain is 08698725432whm.9432admin.juegosfacebook-zynga.gn-math.dev and was registered NaN years ago.

Submitted URL: http://08698725432whm.9432admin.juegosfacebook-zynga.gn-math.dev/

Effective URL: https://08698725432whm.9432admin.juegosfacebook-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

High Risk

Confidence: 85%

7
Risk Score

The site shows strong indicators of malware distribution (critical IDS alerts, C2 beacon) despite lacking credential forms, warranting a high‑risk classification.

Risk Factors
Critical IDS alerts indicating malware and command‑and‑control activity
Low domain reputation and recent registration
Cross‑origin network requests to unrelated external services
Presence of brand‑like strings in subdomain (facebook, zynga) without legitimate claim
Domain age information unavailable

Details

Page Title

gn-math

Scan Type

public

Language

🇺🇸

English

(80% confidence)

Category

entertainment media

(93%)

Domain Information

Domain '08698725432whm.9432admin.juegosfacebook-zynga.gn-math.dev' uses the developer-focused generic top-level domain (.dev), featuring subdomain '08698725432whm.9432admin.juegosfacebook-zynga'. The second-level label 'gn-math' is 7 characters long containing one vowel alongside five consonants; it also includes 1 hyphen. Tokenizing the label suggests 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://08698725432whm.9432admin.juegosfacebook-zynga.gn-math.dev/

Page Load Overview

6.35s
Total Load Time
187
HTTP Requests
22
Domains
15.8 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:28,354 chars
Detector Agreement:100%

Website Classification

Primary Category

entertainment media93% confidence
Type: static
Method: ml+structural

All Detected Categories

entertainment media
93%
technology software
79%
education learning
78%
documentation technical
32%
finance banking
31%

Detected Features

OG: website

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
32143.204.173.87United States
AS16509Amazon.com, Inc.
5146.75.121.91Frankfurt am Main, Hesse, Germany
AS54113Fastly, Inc.
5192.178.183.155United States
AS15169Google LLC
5192.178.183.156United States
AS15169Google LLC
5172.66.171.133United States
AS13335Cloudflare, Inc.
5151.101.65.229United States
AS54113Fastly, Inc.
5104.26.5.14United States
AS13335Cloudflare, Inc.
5104.20.47.80United States
AS13335Cloudflare, Inc.
53.160.150.36United States
AS16509Amazon.com, Inc.
5142.250.154.94United 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

T14FB44AB2B502147F5E2380D572749B7B30E19B2FDEC2124633FC97E967CACE56A4A049

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

1536:7HgsVIGeAfgqJdyz92o3bnLy4V1K8Z6ZXySH5yeUpaBGyYGBdid4JGWUeLTWKlHM:EstZVPPU

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:501631:DBAAAEeIM1AIJQmCDYaGJksjAgsEFyM4RkAYgIVKnzAyUGQAFihBwkooQJgBYGBwJctMfAsIBAQgCjCeAXIhMAgTxBMcDwmU

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:f0f0f0ff10303000
Perceptual Hash:cee4690e3933394e
Difference Hash:2404a49a65656970
Wavelet Hash:f0f0feff34303410
Color Hash:#1f4c93

Scan History

Scan history not available

Unable to load historical scan data