Security Scan Report: whm.95031whm.0whm.wefaglobal.appfacebook-zynga.gn-math.dev

Submitted: May 12, 2026, 9:07:50 PMCompleted: May 12, 2026, 9:09:43 PMpubliccompleted
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Summary

This website contacted 31 IPs in 2 countries across 23 domains to perform 168 HTTP transactions. The main domain is whm.95031whm.0whm.wefaglobal.appfacebook-zynga.gn-math.dev and was registered NaN years ago.

Submitted URL: https://whm.95031whm.0whm.wefaglobal.appfacebook-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: 84%

7
Risk Score

The site exhibits multiple critical IDS alerts and suspicious redirect behavior, indicating high‑risk malware distribution despite lacking phishing forms.

Risk Factors
Critical IDS alerts (malware, data exfiltration, C2)
High number of redirects (22)
Low domain reputation and recent registration
Cross‑origin network requests to third‑party services
Absence of legitimate content signals
Domain age information unavailable

Details

Page Title

gn-math

Scan Type

public

Language

🇺🇸

English

(80% confidence)

Category

entertainment media

(93%)

Domain Information

Domain 'whm.95031whm.0whm.wefaglobal.appfacebook-zynga.gn-math.dev' uses the developer-focused generic top-level domain (.dev) and includes subdomain 'whm.95031whm.0whm.wefaglobal.appfacebook-zynga'. The second-level label 'gn-math' is 7 characters long containing 1 vowel alongside five consonants; it also includes 1 hyphen. Breaking it apart gives 2 words: gn, math. The median word length lands at 3 characters. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://whm.95031whm.0whm.wefaglobal.appfacebook-zynga.gn-math.dev/

Page Load Overview

4.23s
Total Load Time
168
HTTP Requests
23
Domains
13.3 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:27,952 chars
Detector Agreement:67%

Website Classification

Primary Category

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

All Detected Categories

entertainment media
93%
technology software
83%
education learning
78%
documentation technical
38%
corporate
25%

Detected Features

OG: website

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
1834.36.200.111Kansas City, Missouri, United States
AS396982Google LLC
5142.251.110.94United States
AS15169Google LLC
552.58.20.227Frankfurt am Main, Hesse, Germany
AS16509Amazon.com, Inc.
5104.20.20.189United States
AS13335Cloudflare, Inc.
5188.114.97.3United States
AS13335Cloudflare, Inc.
53.160.150.36United States
AS16509Amazon.com, Inc.
5142.251.20.149United States
AS15169Google LLC
5142.250.154.156United States
AS15169Google LLC
5142.251.20.148United States
AS15169Google LLC
53.160.150.61United States
AS16509Amazon.com, Inc.
16831--

Detected Technologies2

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T10EB43AB2B502147F5E2380D572749B7B30E19B2BDEC2124633FC97E967CBCE56A4A049

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

1536:7HgsVIGwvJfgzJdIZqiN3hnaT4V1K8Z67XMmH5yJieaBGyYGBdidSJGWyBLThKlg:EsgDrF5c8

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:501637:lgFWgMMAMqIsLRwACQBFUhBlkRqMnCEADqACgAAAJ0sQCwBC4Lw0AMjmQqCEFDmpBAdZwqcqQCWDLQD2EeTEeFI4A0AUiLQk

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:0000feff30313410
Perceptual Hash:ce311d4e31ce3947
Difference Hash:0044b2a265656570
Wavelet Hash:0000ffff313f3d18
Color Hash:#c5c387

Scan History

Scan history not available

Unable to load historical scan data