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Security Scan Report: ags3questions-1m5e5wlga9.edgeone.app

Submitted: Apr 17, 2026, 8:37:33 AMCompleted: Apr 17, 2026, 8:39:36 AMpubliccompleted
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Summary

This website contacted 49 IPs in 4 countries across 47 domains to perform 246 HTTP transactions. The main domain is ags3questions-1m5e5wlga9.edgeone.app and was registered NaN years ago.

Submitted URL: https://ags3questions-1m5e5wlga9.edgeone.app/

The Cisco Umbrella rank of the primary domain is #455,732 of the top 1 million websites

AI Security Verdict

Low Risk

Confidence: 78%

2
Risk Score

Low risk site with no malicious indicators; likely a benign entertainment page hosted on a subdomain.

Risk Factors
Subdomain age unknown (potentially new)
Low Cisco Umbrella ranking
Safety Factors
No credential or payment collection forms
No malicious Indicators of Compromise
No JavaScript malware YARA matches
No network IDS alerts
Content classified as entertainment media
Domain age information unavailable

Details

Page Title

gn-math

Scan Type

public

Language

🇺🇸

English

(80% confidence)

Category

entertainment media

(90%)

Domain Information

You're looking at domain 'ags3questions-1m5e5wlga9.edgeone.app' on the application-focused generic top-level domain (.app) and includes subdomain 'ags3questions-1m5e5wlga9'. Its registrable label 'edgeone' stretches across 7 characters with four vowels and 3 consonants. Tokenizing the label suggests two words: edge, one. Average segment length settles at 3.5 characters. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://ags3questions-1m5e5wlga9.edgeone.app/

Page Load Overview

19.55s
Total Load Time
246
HTTP Requests
47
Domains
29.5 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:27,959 chars
Detector Agreement:100%

Website Classification

Primary Category

entertainment media90% confidence
Type: static
Method: ml+structural

All Detected Categories

entertainment media
90%
technology software
84%
education learning
63%
documentation technical
33%
corporate
25%

Detected Features

OG: website

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
6172.66.169.55United States
AS13335Cloudflare, Inc.
551.195.34.255France
AS16276OVH SAS
5188.114.96.3United States
AS13335Cloudflare, Inc.
5142.250.154.95United States
AS15169Google LLC
5162.19.138.120Frankfurt am Main, Hesse, Germany
AS16276OVH SAS
551.195.127.115Germany
AS16276OVH SAS
534.120.133.55Kansas City, Missouri, United States
AS396982Google LLC
551.195.34.222France
AS16276OVH SAS
5104.16.174.226United States
AS13335Cloudflare, Inc.
5192.178.183.156United States
AS15169Google LLC
24649--

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T101B44AB2B502147F5E2380D572749B7B30E19B2FDEC2124633FC97E967CACE56A4A049

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

1536:7HoVfGb02NgtJdK29Ol32njy4V1K8Z6ZXySH5yeUpaBGyYGQd737mAw2kv2d9qlF:UuE32dP

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:501632:lgWBoQkIMFAAAJQBeJbE0QnAgwyOw4kQlkZGhoCgEaIRxjslJEQ6EA0oyCBCNgIERwwJEAcACGAJC1ISEGAwISAIF9E4iaEX

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:0000ffff34353400
Perceptual Hash:ce31314eb9f58c16
Difference Hash:0044b29269656d70
Wavelet Hash:0000ffff3d3d3518
Color Hash:#61862d

Other Hashes

Crop Resistant:2c9d1c558f96ccf1,0044b29269656d70

Scan History

Scan history not available

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