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Security Scan Report: ruangstudiolab-dpezqc2b868p.edgeone.app

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Submitted: Jun 28, 2026, 11:43:18 PMCompleted: Jun 28, 2026, 11:44:26 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-next-fight-2025.html

AI Security Verdict

Low Risk

Confidence: 82%

2
Risk Score

Low risk – likely a legitimate news article with no phishing or malware indicators.

Risk Factors
Unknown sub‑domain creation date (could be brand‑new)
Unranked domain (not in Cisco Umbrella top 1 M)
Hosted on a generic PaaS sub‑domain (edgeone.app)
Safety Factors
Absence of credential or payment collection forms
No malicious IoC, YARA, or IDS alerts
Content appears to be a news/article about a public figure
External links are to benign services (fonts, analytics)
JavaScript obfuscation score high but attributed to normal minification
Domain age information unavailable

Details

Page Title

Alex Pereira's Next Fight 2025: What Fans Need to Know

Scan Type

public

Language

🇺🇸

English

(80% confidence)

Category

news media journalism

(87%)

Domain Information

Domain 'ruangstudiolab-dpezqc2b868p.edgeone.app' uses the application-focused generic top-level domain (.app) with subdomain 'ruangstudiolab-dpezqc2b868p'. The registrable portion 'edgeone' spans 7 characters split between four vowels and 3 consonants. Word splitting yields 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://ruangstudiolab-dpezqc2b868p.edgeone.app/alex-pereira-next-fight-2025.html

Page Load Overview

1.84s
Total Load Time
13
HTTP Requests
10
Domains
744 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:5,429 chars
Detector Agreement:100%

Website Classification

Primary Category

news media journalism87% confidence
Type: dynamic
Method: ml+structural

All Detected Categories

news media journalism
87%
entertainment media
76%
government public service
66%
documentation technical
54%
education learning
51%

Detected Features

OG: article
Schema.org

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
5104.21.0.120United States
AS13335Cloudflare, Inc.
2162.159.135.42United States
AS13335Cloudflare, Inc.
2172.240.127.243United States
AS7979Servers.com, Inc.
243.152.26.58Singapore
AS139341ACE
2142.251.13.95United States
AS15169Google LLC
135--

Detected Technologies3

Open-Graph-Protocolvarticle
100%
WordPress
75%
Statcounter
20%

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T18482FA27AAC1223897720057E489F2FCBD2CD41FA34288B1B499A379D785ED709B56DC

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

384:ShnYf8zX+x2J8wN+z3lKOTzWc2RsFdSy8aoNjag4n+SY:Shnz+x23NElKOTqc9UPXNjag4+J

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:17875:xCAoD5OEFGBqROMUTGwIABICAoACQsNqakcMDTgcpABKCxKjoCRGChAqY7CIqgggE9B8GlAoABlBRDYmAeDEgM2iIJjcEgCo

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:3900003c7c7c217c
Perceptual Hash:823d6dc6c62cc63e
Difference Hash:e1d129c1c9c1c1c1
Wavelet Hash:7901013d7f7d017d
Color Hash:#79d292

Other Hashes

Crop Resistant:e1d12bc1c9c1c1c1

Scan History

Scan history not available

Unable to load historical scan data