Security Scan Report: f0dbwhm.09769440204020whoupdate.32juegosfacebook-zynga.gn-math.dev

Submitted: May 10, 2026, 7:07:31 AMCompleted: May 10, 2026, 7:10:05 AMpubliccompleted
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Summary

This website contacted 33 IPs in 2 countries across 22 domains to perform 185 HTTP transactions. The main domain is f0dbwhm.09769440204020whoupdate.32juegosfacebook-zynga.gn-math.dev and was registered NaN years ago.

Submitted URL: https://f0dbwhm.09769440204020whoupdate.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

High Risk

Confidence: 90%

10
Risk Score

Multiple critical malware alerts and low reputation indicate a high‑risk site likely used for malware distribution; avoid interaction.

Risk Factors
Critical IDS alerts (malware C2 and data exfiltration)
Excessive redirect chain
Low domain reputation and ranking
Cross‑origin POST requests to external domains
Unusual subdomain structure
Domain age information unavailable

Details

Page Title

gn-math

Scan Type

public

Language

🇺🇸

English

(80% confidence)

Category

entertainment media

(95%)

Domain Information

Within the developer-focused generic top-level domain (.dev), 'f0dbwhm.09769440204020whoupdate.32juegosfacebook-zynga.gn-math.dev' is registered; it also runs on subdomain 'f0dbwhm.09769440204020whoupdate.32juegosfacebook-zynga'. Its registrable label 'gn-math' stretches across 7 characters with 1 vowel and five consonants; it also includes one hyphen. Segmentation suggests 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://f0dbwhm.09769440204020whoupdate.32juegosfacebook-zynga.gn-math.dev/

Page Load Overview

4.73s
Total Load Time
185
HTTP Requests
22
Domains
19.0 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:28,400 chars
Detector Agreement:100%

Website Classification

Primary Category

entertainment media95% confidence
Type: static
Method: ml+structural

All Detected Categories

entertainment media
95%
technology software
87%
education learning
75%
documentation technical
38%
gambling betting
29%

Detected Features

OG: website

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
25172.66.148.140United States
AS13335Cloudflare, Inc.
5188.114.96.3United States
AS13335Cloudflare, Inc.
5142.251.20.95United States
AS15169Google LLC
5192.178.183.148United States
AS15169Google LLC
5151.101.129.229United States
AS54113Fastly, Inc.
5140.82.121.6Frankfurt am Main, Hesse, Germany
AS36459GitHub, Inc.
5142.251.110.154United States
AS15169Google LLC
5188.114.97.3United States
AS13335Cloudflare, Inc.
53.160.150.117United States
AS16509Amazon.com, Inc.
53.160.150.40United States
AS16509Amazon.com, Inc.
18533--

Detected Technologies2

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T1DCB44AB2B502147F5E2380D572749B7B30E19B2FDEC2124633FC97E967CACE56A4A049

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

1536:7HgsVIGaGfgqJdyz92o3bnLy4V1K8Z6ZXySH5yeUpaBGyYGQd4JGWUeLTWKlHF19:EsHZVPhb

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:501635:MBQQ0MswVg0CaBBJjIbmAoIhhSUMJAGcEghGQDICKIAQxGgCMPX4cBJ8MCBKcjchBAQNgIHAo3GoguCXMTRWJJCgExAdyQQF

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:0000ffff34313410
Perceptual Hash:ce31314eb1e1b94e
Difference Hash:0044b29261616960
Wavelet Hash:0000ffff3c3d3d18
Color Hash:#78733a

Scan History

Scan history not available

Unable to load historical scan data