Security Scan Report: couponsvibesitus-dpj3k52h9qwd.edgeone.app

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Submitted: Jun 16, 2026, 9:51:33 AMCompleted: Jun 16, 2026, 9:52:43 AMpubliccompleted
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Summary

This website contacted 5 IPs in 3 countries across 5 domains to perform 2 HTTP transactions. The main domain is couponsvibesitus-dpj3k52h9qwd.edgeone.app and was registered NaN years ago.

Submitted URL: https://couponsvibesitus-dpj3k52h9qwd.edgeone.app/acl-league-of-legends.html

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

AI Security Verdict

Low Risk

Confidence: 84%

2
Risk Score

Informational article with no malicious indicators; low risk despite unknown subdomain age.

Risk Factors
Subdomain on hosting platform with unknown creation date
Low Cisco Umbrella ranking (455,732)
Safety Factors
Content type is informational article
No form fields or data exfiltration behavior
No external malicious resources detected
Domain age information unavailable

Details

Page Title

Understanding ACL Injuries in League of Legends: Prevention and Recovery Strategies

Scan Type

public

Language

🇺🇸

English

(80% confidence)

Category

healthcare medical

(74%)

Domain Information

The domain 'couponsvibesitus-dpj3k52h9qwd.edgeone.app' uses the application-focused generic top-level domain (.app) with subdomain 'couponsvibesitus-dpj3k52h9qwd'. The core label 'edgeone' covers 7 characters with four vowels and 3 consonants. It segments into two words: edge, one. Median word length is 3.5 characters. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://couponsvibesitus-dpj3k52h9qwd.edgeone.app/acl-league-of-legends.html

Page Load Overview

2.79s
Total Load Time
13
HTTP Requests
10
Domains
508 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:5,521 chars
Detector Agreement:100%

Website Classification

Primary Category

healthcare medical74% confidence
Type: dynamic
Method: ml+structural

All Detected Categories

healthcare medical
74%
entertainment media
70%
adult content
57%
blog personal website
57%
documentation technical
57%

Detected Features

OG: article
Schema.org

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
5110.232.143.27Brisbane, Queensland, Australia
AS45638SYNERGY WHOLESALE PTY LTD
2142.251.20.95United States
AS15169Google LLC
2101.33.10.10Frankfurt am Main, Hesse, Germany
2104.21.0.120United States
AS13335Cloudflare, Inc.
2172.240.127.234United States
AS7979Servers.com, Inc.
135--

Detected Technologies3

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T1FD821B23FA91022857720255D986B7FC7A79801AD340DCE1B4DDF33CAB86BCB54B6694

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

384:7ChnYf8zX+eO07ObOTOG3GZimnpYUIO4zCJ3oC6Uag49UFT:7Chnz+f0qKCG2Z1pYUI3uJYC6Uag4mp

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:17573:TTAoEEklJDhKYGxWBFpxGGwCEaBoANQk2EAqANCA6hhCpRQxBgABAoyKIkVoUAjAxxkEABk9ar9mUjggFgpKteD4rQm0oBDQ

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:e783ffff83c78387
Perceptual Hash:bcc73662b2e3c3c0
Difference Hash:0e2660061b0f3f3c
Wavelet Hash:e782feff81818183
Color Hash:#8bac53

Other Hashes

Crop Resistant:0e2660061b0f3f3c

Scan History

Scan history not available

Unable to load historical scan data