Security Scan Report: 990750whm.wefaglobal.appfacebook-zynga.gn-math.dev

Redirected to:
https://990750whm.wefaglobal.appfacebook-zynga.gn-math.dev/
Submitted: May 16, 2026, 3:57:39 AMCompleted: May 16, 2026, 4:00:29 AMpubliccompleted
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Summary

This website contacted 34 IPs in 2 countries across 23 domains to perform 147 HTTP transactions. The main domain is 990750whm.wefaglobal.appfacebook-zynga.gn-math.dev and was registered NaN years ago.

Submitted URL: http://990750whm.wefaglobal.appfacebook-zynga.gn-math.dev/

Effective URL: https://990750whm.wefaglobal.appfacebook-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

Safe Website

Confidence: 80%

0
Risk Score

The site shows no phishing, malware, or credential‑stealing behavior and lacks strong risk indicators.

Safety Factors
No credential or payment collection elements
No malicious IoC or malware signatures
Domain age over 180 days reduces suspicion
Content classified as entertainment media with no malicious intent
Domain age information unavailable

Details

Page Title

gn-math

Scan Type

public

Language

🇺🇸

English

(80% confidence)

Category

entertainment media

(93%)

Domain Information

Domain '990750whm.wefaglobal.appfacebook-zynga.gn-math.dev' uses the developer-focused generic top-level domain (.dev); it also runs on subdomain '990750whm.wefaglobal.appfacebook-zynga'. Its registrable label 'gn-math' stretches across 7 characters split between 1 vowel and 5 consonants, plus 1 hyphen. Tokenizing the label suggests two words: gn, math. Median word length is 3 characters. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of http://990750whm.wefaglobal.appfacebook-zynga.gn-math.dev/

Page Load Overview

5.92s
Total Load Time
147
HTTP Requests
23
Domains
15.9 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:28,400 chars
Detector Agreement:100%

Website Classification

Primary Category

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

All Detected Categories

entertainment media
93%
technology software
79%
education learning
77%
documentation technical
39%
corporate
25%

Detected Features

OG: website

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
153.160.150.36United States
AS16509Amazon.com, Inc.
43.160.150.61United States
AS16509Amazon.com, Inc.
4142.251.20.156United States
AS15169Google LLC
4151.101.193.229United States
AS54113Fastly, Inc.
4104.26.4.14United States
AS13335Cloudflare, Inc.
418.245.31.92United States
AS16509Amazon.com, Inc.
43.160.150.117United States
AS16509Amazon.com, Inc.
4151.101.1.229United States
AS54113Fastly, Inc.
4146.75.121.91Frankfurt am Main, Hesse, Germany
AS54113Fastly, Inc.
4142.250.154.149United States
AS15169Google LLC
14734--

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T1E8B44AB2B502147F5E2380D572749B7B30E19B2FDEC2124633FC97E967CACE56A4A049

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

1536:RHgsVIGD8fg9J6k+9kG3Mnm0mV1K8Z6ZXySH5yeUpaBGyYGBdid4JGWUeLTsKlHm:ms+OrNG

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:501635:lpQIAHxWZIiAjVIwpJYACYIhmSAMIUDQUwwFEEAQAwQkvKE8qG6o4AI6IGMTZFQgACJJKAIL4AypGQC4oAgQIBGFYUs9CTAE

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:0000ffff34353018
Perceptual Hash:ce312946b1ed9857
Difference Hash:0044b29269696170
Wavelet Hash:0000ffff3c3d391c
Color Hash:#862d39

Other Hashes

Scan History

Scan history not available

Unable to load historical scan data