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Security Scan Report: ruangstudiolab-dpezqc2b868p.edgeone.app

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Submitted: Jun 24, 2026, 10:49:02 PMCompleted: Jun 24, 2026, 10:50:11 PMpubliccompleted
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Summary

This website contacted 5 IPs in 2 countries across 5 domains to perform 2 HTTP transactions. The main domain is ruangstudiolab-dpezqc2b868p.edgeone.app and was registered NaN years ago.

Submitted URL: https://ruangstudiolab-dpezqc2b868p.edgeone.app/alex-pereira-vs-magomed-ankalaev.html

AI Security Verdict

Low Risk

Confidence: 78%

2
Risk Score

Low‑risk article page; no malicious forms, IoCs, or malware detected.

Risk Factors
Domain is unranked in Cisco Umbrella
Subdomain on a hosting platform with unknown age
Safety Factors
No forms that collect credentials or payment data
No malicious network or IDS alerts
Content appears to be a news‑style article about a sports event
External resources are standard CDNs (fonts.googleapis.com, statcounter.com, etc.)
Domain age information unavailable

Details

Page Title

Alex Pereira vs Magomed Ankalaev: A Highly Anticipated Matchup

Scan Type

public

Language

🇺🇸

English

(80% confidence)

Category

download file sharing

(96%)

Domain Information

The domain name 'ruangstudiolab-dpezqc2b868p.edgeone.app' uses the application-focused generic top-level domain (.app) with subdomain 'ruangstudiolab-dpezqc2b868p'. The core label 'edgeone' covers 7 characters holding four vowels versus 3 consonants. Word splitting yields 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://ruangstudiolab-dpezqc2b868p.edgeone.app/alex-pereira-vs-magomed-ankalaev.html

Page Load Overview

1.94s
Total Load Time
14
HTTP Requests
10
Domains
11.2 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-US
Text Length:2,860 chars
Detector Agreement:100%

Website Classification

Primary Category

download file sharing96% confidence
Type: dynamic
Method: ml+structural

All Detected Categories

download file sharing
96%
blog personal website
95%
phishing scam
95%
technology software
93%
government public service
93%

Detected Features

OG: article
Schema.org

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
6142.251.20.95United States
AS15169Google LLC
23.174.47.55United States
AS16509Amazon.com, Inc.
2172.240.127.242United States
AS7979Servers.com, Inc.
2101.33.10.10Frankfurt am Main, Hesse, Germany
AS139341ACE
2172.67.150.240United States
AS13335Cloudflare, Inc.
145--

Detected Technologies2

Open-Graph-Protocolvarticle
100%
Statcounter
20%

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T1A962EA77FBC012386722445BD585F6FC7959D42AE392CDA078E86328A7C1BDF48B4648

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

192:jI6c5I63VomvPYf85ZEQV+YOA6ujBJ8DanDjw6wgFTSi79AIb+UoNjag4ooCFfpj:ghnYf8zX+vkJ8UwliHbJoNjag4n+A2

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:15502:UFBEwxUIkmFBmGgCRuZwlJIW6wCRQGTsGycAQAEHgIIAAcoQiAWISrEIBwHIQAgmYcpFQUAVKKmhkIQrQKTCgiRbAIzNYxgt

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:39000038207c7c7e
Perceptual Hash:826d96c39ec6966c
Difference Hash:e1d10dd1c1c9c1f9
Wavelet Hash:7901013d017d7d7f
Color Hash:#863d2d

Other Hashes

Crop Resistant:e1d10dd1c1c9c1f8

Scan History

Scan history not available

Unable to load historical scan data