Security Scan Report: swanthithugo-g51zs9xhez.edgeone.app

Site favicon
Submitted: May 21, 2026, 7:29:20 AMCompleted: May 21, 2026, 7:30:43 AMpubliccompleted
Loading additional data...

Summary

This website contacted 9 IPs in 2 countries across 10 domains to perform 15 HTTP transactions. The main domain is swanthithugo-g51zs9xhez.edgeone.app and was registered NaN years ago.

Submitted URL: https://swanthithugo-g51zs9xhez.edgeone.app/24151-9-best-family-garden-games-on-amazon-from-giant-jenga-to-super-sized-snakes-ladders.html

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

AI Security Verdict

Moderate Risk

Confidence: 65%

5
Risk Score

Moderate risk due to brand mention on an unknown-age subdomain with low reputation and heavily obfuscated JavaScript.

Risk Factors
Brand mismatch (Amazon mentioned on unrelated domain)
Unknown subdomain age on hosting platform
Low domain reputation (ranking > 100k)
High JavaScript obfuscation
Safety Factors
No credential or payment forms present
No malicious Indicators of Compromise detected
No JavaScript malware YARA matches
No network IDS alerts
Page type is article (og:type=article), indicating content reporting rather than impersonation
Domain age information unavailable

Details

Page Title

9 best family garden games on Amazon: From giant Jenga to super-sized Snakes & Ladders

Scan Type

public

Language

🇺🇸

English

(80% confidence)

Category

e-commerce shopping

(81%)

Domain Information

Within the application-focused generic top-level domain (.app), 'swanthithugo-g51zs9xhez.edgeone.app' is registered with subdomain 'swanthithugo-g51zs9xhez'. The second-level label 'edgeone' is 7 characters long holding four vowels versus 3 consonants. Segmentation suggests 2 words: edge, one. Expect 3.5 characters per word on average. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://swanthithugo-g51zs9xhez.edgeone.app/24151-9-best-family-garden-games-on-amazon-from-giant-jenga-to-super-sized-snakes-ladders.html

Page Load Overview

12.60s
Total Load Time
22
HTTP Requests
15
Domains
109 KB
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-US
Text Length:7,985 chars
Detector Agreement:100%

Website Classification

Primary Category

e-commerce shopping81% confidence
Type: dynamic
Method: ml+structural

All Detected Categories

e-commerce shopping
81%
entertainment media
53%
corporate
35%
technology software
32%
documentation technical
29%

Detected Features

OG: article
Schema.org

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
6104.20.23.96United States
AS13335Cloudflare, Inc.
2104.20.7.223United States
AS13335Cloudflare, Inc.
2172.67.150.240United States
AS13335Cloudflare, Inc.
2101.33.10.57Frankfurt am Main, Hesse, Germany
2172.240.127.243United States
AS7979Servers.com, Inc.
2142.251.13.94United States
AS15169Google LLC
2146.75.121.91Frankfurt am Main, Hesse, Germany
AS54113Fastly, Inc.
2142.251.20.95United States
AS15169Google LLC
2172.67.74.163United States
AS13335Cloudflare, Inc.
229--

Detected Technologies3

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T145920B2BF744037956334351F9C8B3FC6969803AE3A6CD946CEDA32D53C96E70836A94

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

384:tPW4JhnYf8zX+u40WUFIPqJKJIJ/cQ8tdjs3VY+U8VIBdwjKYHj+nsJfLqLfZX7+:VWOhnz+jQJUL5wMjdjYrWag4Aw

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:20684:oBroRYBVxAIhIsgHA6wAiVgA1ERIAPQyjWQaABRo0bBKsBbZDBCayEhBEgAwIZwF0NI0XEUogUBlkIoBqwxEw0QaDxZUAgPF

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:ffc3818181c3ffff
Perceptual Hash:ed7d929286926969
Difference Hash:c023132f2b3b3723
Wavelet Hash:ff8181818181cfff
Color Hash:#7f79d2

Other Hashes

Scan History

Scan history not available

Unable to load historical scan data