Security Scan Report: f0dbwww.awhm.907550315031whm.srv592432juegosfacebook-zynga.gn-math.dev

Redirected to:
https://f0dbwww.awhm.907550315031whm.srv592432juegosfacebook-zynga.gn-...
Submitted: May 12, 2026, 12:09:46 PMCompleted: May 12, 2026, 12:11:46 PMpubliccompleted
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Summary

This website contacted 31 IPs in 2 countries across 22 domains to perform 197 HTTP transactions. The main domain is f0dbwww.awhm.907550315031whm.srv592432juegosfacebook-zynga.gn-math.dev and was registered NaN years ago.

Submitted URL: http://f0dbwww.awhm.907550315031whm.srv592432juegosfacebook-zynga.gn-math.dev/

Effective URL: https://f0dbwww.awhm.907550315031whm.srv592432juegosfacebook-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

Moderate Risk

Confidence: 80%

4
Risk Score

Site shows multiple critical IDS alerts for data exfiltration and C2 activity despite lacking forms, indicating malware distribution risk.

Risk Factors
Critical IDS alerts indicating possible malware and command‑and‑control activity
Low domain reputation ranking
Domain is relatively new (<1 year)
Presence of numerous third‑party ad/tracking domains
No legitimate forms or credential collection, suggesting the site is not a typical service
Safety Factors
No credential or payment forms detected
No brand impersonation in meta tags or content
No JavaScript YARA malware patterns matched
No Indicators of Compromise found in threat intelligence databases
Content appears to be generic entertainment media
Domain age information unavailable

Details

Page Title

gn-math

Scan Type

public

Language

🇺🇸

English

(80% confidence)

Category

entertainment media

(94%)

Domain Information

The domain 'f0dbwww.awhm.907550315031whm.srv592432juegosfacebook-zynga.gn-math.dev' uses the developer-focused generic top-level domain (.dev), featuring subdomain 'f0dbwww.awhm.907550315031whm.srv592432juegosfacebook-zynga'. The core label 'gn-math' covers 7 characters with one vowel and five consonants; it also includes one hyphen. Tokenizing the label suggests 2 words: gn, math. Median word length comes out to 3 characters. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of http://f0dbwww.awhm.907550315031whm.srv592432juegosfacebook-zynga.gn-math.dev/

Page Load Overview

11.27s
Total Load Time
197
HTTP Requests
22
Domains
29.7 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:27,526 chars
Detector Agreement:100%

Website Classification

Primary Category

entertainment media94% confidence
Type: static
Method: ml+structural

All Detected Categories

entertainment media
94%
technology software
83%
education learning
75%
documentation technical
35%
corporate
25%

Detected Features

OG: website

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
17142.251.14.156United States
AS15169Google LLC
6188.114.96.3United States
AS13335Cloudflare, Inc.
634.36.200.111Kansas City, Missouri, United States
AS396982Google LLC
6142.251.20.156United States
AS15169Google LLC
6172.66.171.133United States
AS13335Cloudflare, Inc.
6142.251.20.94United States
AS15169Google LLC
63.160.150.40United States
AS16509Amazon.com, Inc.
6154.12.247.42Seattle, Washington, United States
AS40021Contabo Inc.
6188.114.97.3United States
AS13335Cloudflare, Inc.
63.160.150.36United States
AS16509Amazon.com, Inc.
19731--

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T1CAB43AB2B502147F5E2380D572749B7B30E19B2BDEC2114633FC97E967CBCE5AA4A049

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

1536:7HgsVIGjxfgzJdIZqiB3hnaT4V1K8Z67XMmH59JieaBFyYGBdidSJGWyBLThKlG5:EsGlwuVM

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:501637:ABZLEgMsfCkAKJQPlI5PlgJFgpAYAAAsHISCCAJFRYmAF0xoiGMAwbEpBSIENmUjAoY8IYRoCBColCQXWPByINAIH0Aajywl

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:000000ff3030343c
Perceptual Hash:ce31136ed1b8c63a
Difference Hash:0064b29265656de9
Wavelet Hash:0000fcff3c353d7c
Color Hash:#4d3a78

Scan History

Scan history not available

Unable to load historical scan data