Security Scan Report: 7609765whm.whm.atmtst334ksfacebook-zynga.gn-math.dev

Submitted: May 13, 2026, 6:31:05 AMCompleted: May 13, 2026, 6:33:49 AMpubliccompleted
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Summary

This website contacted 31 IPs in 2 countries across 23 domains to perform 179 HTTP transactions. The main domain is 7609765whm.whm.atmtst334ksfacebook-zynga.gn-math.dev and was registered NaN years ago.

Submitted URL: https://7609765whm.whm.atmtst334ksfacebook-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: 78%

2
Risk Score

Site shows low risk overall but critical IDS alerts suggest possible malware activity; proceed carefully.

Risk Factors
Critical IDS alerts for malware and C2 activity
Low domain reputation (rank >500k)
Domain less than one year old
Safety Factors
No login or payment forms
No brand impersonation in meta tags
No JavaScript malware YARA matches
JS obfuscation score low (standard minification)
Domain age information unavailable

Details

Page Title

gn-math

Scan Type

public

Language

🇺🇸

English

(80% confidence)

Category

entertainment media

(93%)

Domain Information

You're looking at domain '7609765whm.whm.atmtst334ksfacebook-zynga.gn-math.dev' on the developer-focused generic top-level domain (.dev) with subdomain '7609765whm.whm.atmtst334ksfacebook-zynga'. Its registrable label 'gn-math' stretches across 7 characters containing 1 vowel alongside 5 consonants, notching 1 hyphen. Word splitting yields 2 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://7609765whm.whm.atmtst334ksfacebook-zynga.gn-math.dev/

Page Load Overview

7.04s
Total Load Time
179
HTTP Requests
23
Domains
14.0 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:28,389 chars
Detector Agreement:100%

Website Classification

Primary Category

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

All Detected Categories

entertainment media
93%
technology software
82%
education learning
78%
documentation technical
36%
corporate
25%

Detected Features

OG: website

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
29142.251.20.148United States
AS15169Google LLC
5154.12.247.42Seattle, Washington, United States
AS40021Contabo Inc.
53.75.153.1Frankfurt am Main, Hesse, Germany
AS16509Amazon.com, Inc.
518.245.31.65United States
AS16509Amazon.com, Inc.
5130.211.23.194United States
AS396982Google LLC
5142.251.20.149United States
AS15169Google LLC
53.160.150.117United States
AS16509Amazon.com, Inc.
563.183.45.95Frankfurt am Main, Hesse, Germany
AS16509Amazon.com, Inc.
53.160.150.36United States
AS16509Amazon.com, Inc.
5143.204.173.87United States
AS16509Amazon.com, Inc.
17931--

Detected Technologies2

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T1E5B44AB2B502147F5E2380D572749B7B30E19B2FDEC2124633FC97E967CACE56A4A049

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

1536:RHgsVIGMsfg0JdIt9iM32nay4V1K8Z6ZXySH5yeUpaBGyYGBdid4JGWUeLThKlHb:mstc3YPI

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:501635:FHwi1EOHRcUePRAgGEJAIgEoEgIlgLAmIQ4GU6QwEkIAgAwwLXnsANMiCEYIwMYgDiSTA4QAbCm5xqy3BhGovX4gQjWEgERC

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:0000ffff05110108
Perceptual Hash:8ad5312ed5b1cc33
Difference Hash:0044b292292b3b31
Wavelet Hash:0000ffff9dd98d18
Color Hash:#611f93

Other Hashes

Scan History

Scan history not available

Unable to load historical scan data