Security Scan Report: whm.90869whm.4321whm.whm.amazonaegosfacebook-zynga.gn-math.dev

Submitted: May 11, 2026, 8:15:24 PMCompleted: May 11, 2026, 8:17:20 PMpubliccompleted
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Summary

This website contacted 33 IPs in 2 countries across 23 domains to perform 186 HTTP transactions. The main domain is whm.90869whm.4321whm.whm.amazonaegosfacebook-zynga.gn-math.dev and was registered NaN years ago.

Submitted URL: https://whm.90869whm.4321whm.whm.amazonaegosfacebook-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: 80%

7
Risk Score

The site shows strong malware indicators (critical IDS alerts) despite lacking forms, warranting a high‑risk classification and recommendation to avoid and report.

Risk Factors
Critical IDS alerts for malware and C2 activity
Recent domain (<1 year) with low reputation ranking
High number of redirects (14)
Low ranking in Cisco Umbrella (outside top 100K)
No legitimate brand claims but suspicious subdomain naming
Domain age information unavailable

Details

Page Title

gn-math

Scan Type

public

Language

🇺🇸

English

(80% confidence)

Category

entertainment media

(94%)

Domain Information

The domain 'whm.90869whm.4321whm.whm.amazonaegosfacebook-zynga.gn-math.dev' uses the developer-focused generic top-level domain (.dev), featuring subdomain 'whm.90869whm.4321whm.whm.amazonaegosfacebook-zynga'. The core label 'gn-math' covers 7 characters with 1 vowel and five consonants, notching one hyphen. It segments into 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://whm.90869whm.4321whm.whm.amazonaegosfacebook-zynga.gn-math.dev/

Page Load Overview

7.92s
Total Load Time
186
HTTP Requests
23
Domains
19.4 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:28,424 chars
Detector Agreement:100%

Website Classification

Primary Category

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

All Detected Categories

entertainment media
94%
technology software
85%
education learning
79%
documentation technical
43%
corporate
25%

Detected Features

OG: website

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
26142.250.154.155United States
AS15169Google LLC
5188.114.97.3United States
AS13335Cloudflare, Inc.
5130.211.23.194United States
AS396982Google LLC
5192.178.183.149United States
AS15169Google LLC
53.160.150.36United States
AS16509Amazon.com, Inc.
5104.20.47.80United States
AS13335Cloudflare, Inc.
5142.250.154.157United States
AS15169Google LLC
5108.138.4.226United States
AS16509Amazon.com, Inc.
5151.101.65.229United States
AS54113Fastly, Inc.
53.75.153.1Frankfurt am Main, Hesse, Germany
AS16509Amazon.com, Inc.
18633--

Detected Technologies2

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T1A4B44AB2B502147F5E2380D572749B7B30E19B2BDEC2124633FC97E967CBCE56A4A049

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

1536:7HgsVIGU3fgzJdIy9xu3hn9y4V1K8Z6ZXySH5yeUpaBGyYGBdid4JGWUeLT6KlHB:EsBJr5Ue

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:501635:HRQGkYABdYEpoBAmFxYDFkBDgSIgCBJImtFYwiSIIheohCKEPCjFAlcgAmAA4EEIQMsNhIdIKLs8DxkwA2ACYUCAXAaNFiwA

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:0000ffff34353010
Perceptual Hash:ce31394eb1e1cc17
Difference Hash:0044b2926d656970
Wavelet Hash:0000ffff3d353d18
Color Hash:#d2cf79

Other Hashes

Scan History

Scan history not available

Unable to load historical scan data