Security Scan Report: swanthithugo-g51zs9xhez.edgeone.app

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Submitted: May 18, 2026, 11:04:19 PMCompleted: May 18, 2026, 11:05:38 PMpubliccompleted
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Summary

This website contacted 9 IPs in 2 countries across 9 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/10545-chinas-largest-sportswear-brand-anta-posts-29pc-profit-growth-on-increased-sales.html

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

AI Security Verdict

Moderate Risk

Confidence: 60%

5
Risk Score

Moderate risk site; likely a news article but unknown subdomain age and low reputation warrant caution.

Risk Factors
Unknown subdomain age
Low domain reputation ranking
High JavaScript obfuscation
Safety Factors
No forms or credential collection
No Indicators of Compromise matched
Page type is article (og:type=article), indicating news content
No network IDS alerts or malware detections
Domain age information unavailable

Details

Page Title

Chinas largest sportswear brand Anta posts 29pc profit growth on increased sales

Scan Type

public

Language

🇺🇸

English

(80% confidence)

Category

e-commerce shopping

(50%)

Domain Information

Within the application-focused generic top-level domain (.app), 'swanthithugo-g51zs9xhez.edgeone.app' is registered and includes subdomain 'swanthithugo-g51zs9xhez'. Its registrable label 'edgeone' stretches across 7 characters split between four vowels and 3 consonants. Breaking it apart gives 2 words: edge, one. Median word length comes out to 3.5 characters. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://swanthithugo-g51zs9xhez.edgeone.app/10545-chinas-largest-sportswear-brand-anta-posts-29pc-profit-growth-on-increased-sales.html

Page Load Overview

12.45s
Total Load Time
19
HTTP Requests
13
Domains
104 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:3,803 chars
Detector Agreement:100%

Website Classification

Primary Category

e-commerce shopping50% confidence
Type: dynamic
Method: ml+structural

All Detected Categories

e-commerce shopping
50%
corporate
35%
corporate business
28%

Detected Features

OG: article
Schema.org

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
3104.20.8.223United States
AS13335Cloudflare, Inc.
2104.21.0.120United States
AS13335Cloudflare, Inc.
2101.33.10.10Frankfurt am Main, Hesse, Germany
2104.16.29.106United States
AS13335Cloudflare, Inc.
2172.66.169.241United States
AS13335Cloudflare, Inc.
2188.114.97.3United States
AS13335Cloudflare, Inc.
2142.250.154.95United States
AS15169Google LLC
2172.240.108.68United States
AS7979Servers.com, Inc.
2142.251.14.94United States
AS15169Google LLC
199--

Detected Technologies4

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T162623B23BB11112C5731934674C0B2FCB96E9027D3038CD896EDA72D47DB5FB6A7628A

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

384:tPWHhnYf8zX+F83d5ab3JKJhps8km3QTD62vR9HvYYrWag4MDoq2:VWHhnz+WtY2pGm2m2HQYrWag4Aoq2

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:15754:KCADBFiCqylpUiAJICAYElQEwUiBRLxwACWMFgijwCrMoFTYGgSKGQyIGYlqWO9J4KQ2DgSgxUBAAg+gAHcT0XQCEkhIISUM

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:ffc7818181c3ffff
Perceptual Hash:bc3ec3c30dc32c3c
Difference Hash:c02f273737370b33
Wavelet Hash:ff8181818181ffdb
Color Hash:#362d86

Scan History

Scan history not available

Unable to load historical scan data