Security Scan Report: w0uss0qowhm.o0mkg0ecg0ecbwhm.98770536943update.update.2juegosfacebook-zynga.gn-math.dev

Submitted: Completed: publiccompleted
This website contacted 30 IPs in 2 countries across 25 domains to perform 197 HTTP transactions. The main domain is gn-math.dev and was registered 1 year 1 month ago.

Submitted URL: https://w0uss0qowhm.o0mkg0ecg0ecbwhm.98770536943update.update.2juegosfacebook-zynga.gn-math.dev/

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

AI Security Verdict

Low Risk

Confidence: 72%

3
Risk Score

The site shows suspicious redirect behavior and heavily obfuscated scripts but lacks credential collection or brand impersonation, resulting in a moderate risk rating.

Risk Factors (4)
Excessive cross‑domain redirects
Highly obfuscated JavaScript with eval()
Low domain ranking
Cross‑origin POST requests to external services
Safety Factors (5)
No login or payment forms
No brand impersonation of a known third‑party brand
No IoC or malware YARA matches
Page content appears to be a game portal (self‑branding)
Verdict cited a credential/login form, but DOM analysis found no password field (real or disguised) or payment field, and no other hard signal — credential-phishing framing unsupported; risk adjusted from 5 to 3
Domain age information unavailable

Details

Page Title

gn-math

Scan Type

public

Domain Name Analysis

Domain 'w0uss0qowhm.o0mkg0ecg0ecbwhm.98770536943update.update.2juegosfacebook-zynga.gn-math.dev' uses the developer-focused generic top-level domain (.dev); it also runs on subdomain 'w0uss0qowhm.o0mkg0ecg0ecbwhm.98770536943update.update.2juegosfacebook-zynga'. The second-level label 'gn-math' is 7 characters long with one vowel and five consonants; it also includes 1 hyphen. Segmentation suggests 2 words: gn, math. Expect 3 characters per word on average. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://w0uss0qowhm.o0mkg0ecg0ecbwhm.98770536943update.update.2juegosfacebook-zynga.gn-math.dev/

Page Load Overview

6.65s
Total Load Time
29.9 MB
Total Size

Language Analysis

Primary Language

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

Detection Details

HTML Lang Attribute:en
Text Length:27,546 chars
Detector Agreement:67%

Website Classification

Primary Category

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

All Detected Categories

entertainment media
93%
technology software
80%
education learning
77%
documentation technical
38%
corporate
25%

Detected Features

OG: website

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
2318.194.220.110Frankfurt am Main, Hesse, Germany
AS16509Amazon.com, Inc.
6104.20.47.80United States
AS13335Cloudflare, Inc.
6142.251.110.154United States
AS15169Google LLC
6104.17.207.5United States
AS13335Cloudflare, Inc.
6143.204.173.87United States
AS16509Amazon.com, Inc.
652.58.20.227Frankfurt am Main, Hesse, Germany
AS16509Amazon.com, Inc.
6142.251.20.148United States
AS15169Google LLC
6140.82.121.6Frankfurt am Main, Hesse, Germany
AS36459GitHub, Inc.
6142.250.154.156United States
AS15169Google LLC
618.245.31.123United States
AS16509Amazon.com, Inc.
19730--

Detected Technologies2

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T130B43AB2B502147F5E2380D572749B7B30E19B2BDEC2114633FC97E967CBCE5AA4A049

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

1536:7HgsVIG19vfgzJdIZqiB3hnaT4V1K8Z67XMmH59JieaBFyYGBdidSJGWyBLThKl1:EsrQlwuVl

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:501639:PBAIiJaeFADIBREAgFRFl3BhowgEBAGXByohgKqUM1IVJEooBSr74MYKQCIQwAqkBoxIDN7FKHkgeAy8LCEgsQAiAQCZiryh

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:0000feff30313110
Perceptual Hash:ce31394eb1e3cc46
Difference Hash:0044a29265616970
Wavelet Hash:0000ffff3d393d18
Color Hash:#c72dd2

Other Hashes

Scan History

Scan history not available

Unable to load historical scan data